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How to Make a Research Paper Title with Examples

What is a research paper title and why does it matter?

A research paper title summarizes the aim and purpose of your research study. Making a title for your research is one of the most important decisions when writing an article to publish in journals. The research title is the first thing that journal editors and reviewers see when they look at your paper and the only piece of information that fellow researchers will see in a database or search engine query. Good titles that are concise and contain all the relevant terms have been shown to increase citation counts and Altmetric scores .

Therefore, when you title research work, make sure it captures all of the relevant aspects of your study, including the specific topic and problem being investigated. It also should present these elements in a way that is accessible and will captivate readers. Follow these steps to learn how to make a good research title for your work.

How to Make a Research Paper Title in 5 Steps

You might wonder how you are supposed to pick a title from all the content that your manuscript contains—how are you supposed to choose? What will make your research paper title come up in search engines and what will make the people in your field read it? 

In a nutshell, your research title should accurately capture what you have done, it should sound interesting to the people who work on the same or a similar topic, and it should contain the important title keywords that other researchers use when looking for literature in databases. To make the title writing process as simple as possible, we have broken it down into 5 simple steps.

Step 1: Answer some key questions about your research paper

What does your paper seek to answer and what does it accomplish? Try to answer these questions as briefly as possible. You can create these questions by going through each section of your paper and finding the MOST relevant information to make a research title.

Step 2: Identify research study keywords

Now that you have answers to your research questions, find the most important parts of these responses and make these your study keywords. Note that you should only choose the most important terms for your keywords–journals usually request anywhere from 3 to 8 keywords maximum.

Step 3: Research title writing: use these keywords

“We employed a case study of 60 liver transplant patients around the US aged 20-50 years to assess how waiting list volume affects the outcomes of liver transplantation in patients; results indicate a positive correlation between increased waiting list volume and negative prognosis after the transplant procedure.”

The sentence above is clearly much too long for a research paper title. This is why you will trim and polish your title in the next two steps.

Step 4: Create a working research paper title

To create a working title, remove elements that make it a complete “sentence” but keep everything that is important to what the study is about. Delete all unnecessary and redundant words that are not central to the study or that researchers would most likely not use in a database search.

“ We employed a case study of 60 liver transplant patients around the US aged 20-50 years to assess how the waiting list volume affects the outcome of liver transplantation in patients ; results indicate a positive correlation between increased waiting list volume and a negative prognosis after transplant procedure ”

Now shift some words around for proper syntax and rephrase it a bit to shorten the length and make it leaner and more natural. What you are left with is:

“A case study of 60 liver transplant patients around the US aged 20-50 years assessing the impact of waiting list volume on outcome of transplantation and showing a positive correlation between increased waiting list volume and a negative prognosis” (Word Count: 38)

This text is getting closer to what we want in a research title, which is just the most important information. But note that the word count for this working title is still 38 words, whereas the average length of published journal article titles is 16 words or fewer. Therefore, we should eliminate some words and phrases that are not essential to this title.

Step 5: Remove any nonessential words and phrases from your title

Because the number of patients studied and the exact outcome are not the most essential parts of this paper, remove these elements first:

 “A case study of 60 liver transplant patients around the US aged 20-50 years assessing the impact of waiting list volume on outcomes of transplantation and showing a positive correlation between increased waiting list volume and a negative prognosis” (Word Count: 19)

In addition, the methods used in a study are not usually the most searched-for keywords in databases and represent additional details that you may want to remove to make your title leaner. So what is left is:

“Assessing the impact of waiting list volume on outcome and prognosis in liver transplantation patients” (Word Count: 15)

In this final version of the title, one can immediately recognize the subject and what objectives the study aims to achieve. Note that the most important terms appear at the beginning and end of the title: “Assessing,” which is the main action of the study, is placed at the beginning; and “liver transplantation patients,” the specific subject of the study, is placed at the end.

This will aid significantly in your research paper title being found in search engines and database queries, which means that a lot more researchers will be able to locate your article once it is published. In fact, a 2014 review of more than 150,000 papers submitted to the UK’s Research Excellence Framework (REF) database found the style of a paper’s title impacted the number of citations it would typically receive. In most disciplines, articles with shorter, more concise titles yielded more citations.

Adding a Research Paper Subtitle

If your title might require a subtitle to provide more immediate details about your methodology or sample, you can do this by adding this information after a colon:

“ : a case study of US adult patients ages 20-25”

If we abide strictly by our word count rule this may not be necessary or recommended. But every journal has its own standard formatting and style guidelines for research paper titles, so it is a good idea to be aware of the specific journal author instructions , not just when you write the manuscript but also to decide how to create a good title for it.

Research Paper Title Examples

The title examples in the following table illustrate how a title can be interesting but incomplete, complete by uninteresting, complete and interesting but too informal in tone, or some other combination of these. A good research paper title should meet all the requirements in the four columns below.

Tips on Formulating a Good Research Paper Title

In addition to the steps given above, there are a few other important things you want to keep in mind when it comes to how to write a research paper title, regarding formatting, word count, and content:

• Write the title after you’ve written your paper and abstract
• Include all of the essential terms in your paper
• Keep it short and to the point (~16 words or fewer)
• Avoid unnecessary jargon and abbreviations
• Use keywords that capture the content of your paper
• Never include a period at the end—your title is NOT a sentence

Research Paper Writing Resources

We hope this article has been helpful in teaching you how to craft your research paper title. But you might still want to dig deeper into different journal title formats and categories that might be more suitable for specific article types or need help with writing a cover letter for your manuscript submission.

In addition to getting English proofreading services , including paper editing services , before submission to journals, be sure to visit our academic resources papers. Here you can find dozens of articles on manuscript writing, from drafting an outline to finding a target journal to submit to.

6 Important Tips on Writing a Research Paper Title

When you are searching for a research study on a particular topic, you probably notice that articles with interesting, descriptive research titles draw you in. By contrast, research paper titles that are not descriptive are usually passed over, even though you may write a good research paper with interesting contents. This shows the importance of coming up with a good title for your research paper when drafting your own manuscript.

Importance of a Research Title

The research title plays a crucial role in the research process, and its importance can be summarized as follows:

Why do Research Titles Matter?

Before we look at how to title a research paper, let’s look at a research title example that illustrates why a good research paper should have a strong title.

Imagine that you are researching meditation and nursing, and you want to find out if any studies have shown that meditation makes nurses better communicators.  You conduct a keyword search using the keywords “nursing”, “communication”, and “meditation.” You come up with results that have the following titles:

• Benefits of Meditation for the Nursing Profession: A Quantitative Investigation
• Why Mindful Nurses Make the Best Communicators
• Meditation Gurus
• Nurses on the Move: A Quantitative Report on How Meditation Can Improve Nurse Performance

All four of these research paper titles may describe very similar studies—they could even be titles for the same study! As you can see, they give very different impressions.

• Title 1 describes the topic and the method of the study but is not particularly catchy.
• Title 2 partly describes the topic, but does not give any information about the method of the study—it could simply be a theoretical or opinion piece.
• Title 3 is somewhat catchier but gives almost no information at all about the article.
• Title 4 begins with a catchy main title and is followed by a subtitle that gives information about the content and method of the study.

As we will see, Title 4 has all the characteristics of a good research title.

Characteristics of a Good Research Title

According to rhetoric scholars Hairston and Keene, making a good title for a paper involves ensuring that the title of the research accomplishes four goals as mentioned below:

• It should predict the content of the research paper .
• It should be interesting to the reader .
• It should reflect the tone of the writing .
• It should contain important keywords that will make it easier to be located during a keyword search.

Let’s return to the examples in the previous section to see how to make a research title.

As you can see in the table above, only one of the four example titles fulfills all of the criteria of a suitable research paper title.

Related: You’ve chosen your study topic, but having trouble deciding where to publish it? Here’s a comprehensive course to help you identify the right journal .

Tips for Writing an Effective Research Paper Title

When writing a research title, you can use the four criteria listed above as a guide. Here are a few other tips you can use to make sure your title will be part of the recipe for an effective research paper :

• Make sure your research title describes (a) the topic, (b) the method, (c) the sample, and (d) the results of your study. You can use the following formula:

[ Result ]: A [ method ] study of [ topic ] among [ sample ] Example : Meditation makes nurses perform better: a qualitative study of mindfulness meditation among German nursing students

• Avoid unnecessary words and jargons. Keep the title statement as concise as possible. You want a title that will be comprehensible even to people who are not experts in your field. Check our article for a detailed list of things to avoid when writing an effective research title .
• Make sure your title is between 5 and 15 words in length.
• If you are writing a title for a university assignment or for a particular academic journal, verify that your title conforms to the standards and requirements for that outlet. For example, many journals require that titles fall under a character limit, including spaces. Many universities require that titles take a very specific form, limiting your creativity.
• Use a descriptive phrase to convey the purpose of your research efficiently.
• Most importantly, use critical keywords in the title to increase the discoverability of your article.

Resources for Further Reading

In addition to the tips above, there are many resources online that you can use to help write your research title. Here is a list of links that you may find useful as you work on creating an excellent research title:

• The University of Southern California has a guide specific to social science research papers: http://libguides.usc.edu/writingguide/title
• The Journal of European Psychology Students has a blog article focusing on APA-compliant research paper titles: http://blog.efpsa.org/2012/09/01/how-to-write-a-good-title-for-journal-articles/
• This article by Kristen Hamlin contains a step-by-step approach to writing titles: http://classroom.synonym.com/choose-title-research-paper-4332.html

Are there any tips or tricks you find useful in crafting research titles? Which tip did you find most useful in this article? Leave a comment to let us know!

• Hairston, M., & Keene, M. 2003. Successful writing . 5th ed. New York: Norton.
• University of Southern California. 2017. Organizing your social sciences research paper: choosing a title . [Online] Available at: http://libguides.usc.edu/writingguide/title

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Thank you for the excellent article and tips for creating a research work, because I always forget about such an essential element as the keywords when forming topics. In particular, I have found a rapid help with the formation of informative and sound titles that also conforms to the standards and requirements.

I am doing a research work on sales girls or shop girls using qualititative method. Basicly I am from Pakistan and writing on the scenario of mycountry. I am really confused about my research title can you kindly give some suggestions and give me an approperaite tilte

Hi Zubair, Thank you for your question. However, the information you have provided is insufficient for drafting an appropriate title. Information on what exactly you intend to study would be needed in order to draft a meaningful title. Meanwhile, you can try drafting your own title after going through the following articles our website: https://www.enago.com/academy/top-10-tips-on-choosing-an-attractive-research-title/ , https://www.enago.com/academy/writing-a-good-research-title-things-to-avoid/ , https://www.enago.com/academy/write-irresistible-research-paper-title/ We would be happy to give you feedback and suggest changes if required. Did you get a chance to install our free Mobile App? https://www.enago.com/academy/mobile-app/ . Make sure you subscribe to our weekly newsletter https://www.enago.com/academy/subscribe-now/ .

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(I need your reply asap coz we will be doing the chap. 1 tomorrow. Thank u in advance. 🙂 )

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Hi Joan, Thank you for your question. We are glad to know that you found our resources useful. Your feedback is very valuable to us. You can try drafting your own title after going through the following articles on our website: https://www.enago.com/academy/top-10-tips-on-choosing-an-attractive-research-title/ , https://www.enago.com/academy/writing-a-good-research-title-things-to-avoid/ , https://www.enago.com/academy/write-irresistible-research-paper-title/

We would be happy to give you feedback and suggest changes if required. Did you get a chance to install our free Mobile App? https://www.enago.com/academy/mobile-app/ . Make sure you subscribe to our weekly newsletter https://www.enago.com/academy/subscribe-now/ .

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I need help. I need a research title for my study about early mobilization of the mechanically ventilated patients in the ICU. Any suggestions would be highly appreciated.

Thank you for posting your query on the website. When writing manuscripts, too many scholars neglect the research title. This phrase, along with the abstract, is what people will mostly see and read online. Title research of publications shows that the research paper title does matter a lot. Both bibliometrics and altmetrics tracking of citations are now, for better or worse, used to gauge a paper’s “success” for its author(s) and the journal publishing it. Interesting research topics coupled with good or clever yet accurate research titles can draw more attention to your work from peers and the public alike. You can check through the following search results for titles on similar topics: https://www.google.com/search?q=early+mobilization+of+the+mechanically+ventilated+patients+in+the+icu&rlz=1C1GCEU_enIN907IN907&oq=&aqs=chrome.0.69i59.4920093j0j7&sourceid=chrome&ie=UTF-8 .

We hope this would be helpful in drafting an attractive title for your research paper.

Please let us know in case of any other queries.

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Ever find it hard to come up with a catchy title for your research paper? You're not alone! Many people struggle with creating titles that grab attention and show what their work is about.

It can be frustrating because your title is like a first impression. If it's not interesting, people might ignore your research. 

But no worries! 

In this blog, we'll give you practical tips and examples to make sure your research paper title stands out. 

Whether you're a beginner or an expert, we want to help you write research paper titles that would make others excited about your work!

So, let’s get started.

• 1. What is a Research Paper Title, and Why Does it Matter?
• 2. How to Write a Good Research Paper Title in 5 Steps
• 3. Step 2: Keep it Clear and Concise
• 4. Research Paper Title Examples
• 5. Tips for Writing an Effective Research Paper Title

What is a Research Paper Title, and Why Does it Matter?

A research paper title is like the name tag for your work. It tells people what your research paper is about. It's the first thing readers see, and it's important because it helps them decide if they want to read more.

Think of it like this: Have you ever picked up a book because the title sounded interesting? It's kind of the same idea. A good title grabs attention and makes people curious about what's inside.

In the world of research, a well-crafted title is crucial because it sets the stage for your whole paper. 

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Key Characteristics of a Good Research Paper Title

Here are some important factors that create an engaging and interesting research paper title:

• Clarity and Precision: Clearly conveys the main idea.
• Relevance to Content: Reflects core focus and findings.
• Conciseness: Keeps title brief and to the point.
• Keywords and Phrases: Includes important search keywords.
• Captivating Language: Engages interest without sacrificing accuracy.
• Reflects Paper's Tone: Matches the research paper's tone and style.

How to Write a Good Research Paper Title in 5 Steps

Writing an effective research paper title doesn't have to be difficult. Follow these five straightforward steps to craft a title that not only reflects your research but also captures the reader's interest.

Step 1: Understand Your Paper's Main Message

Think of your research as a big idea or a story. Imagine it as the most important thing you want to share with others. 

Ask yourself: What's the main thing or research problem I want people to know about my research? 

Once you're clear on this, you're ready to move on.

Step 2: Keep it Clear and Concise

When making your title, make it short and simple. Don't use too many words or make it confusing. 

The goal is to make it easy for people to understand what your paper is about right away. Think of it like telling a quick and clear story with your title!

Step 3: Be Specific, Not Too General

When writing your title, make sure it talks about your research and not just anything general. Don't use titles that could fit lots of different studies. 

Being specific helps people know exactly what your paper is going to tell them. It's like giving them a clear roadmap to your research!

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Step 4: Inject a Hint of Creativity or Intrigue

Make your title a little exciting! Use engaging words or ask a fun question to make people curious. Imagine your title as a little mystery that makes them want to learn more

Step 5: Check for Keywords and Relevance

Think about the words people might use when searching for research like yours. Use those words in your title to help people find your work. 

Including relevant keywords can improve the visibility of your paper in searches.

Adding a Research Paper Subtitle

A research paper subtitle is like an extra description that comes after the main title. It gives more details about what your research is about. 

Adding a subtitle is a choice, but it can be helpful. If your main title is short and you want to say more about your research, a subtitle is a good idea. 

It's like a bonus that provides extra information for readers. Consider using a subtitle when you want to give a bit more insight into your research topic.

Research Paper Title Examples

Check out the examples below and see how they perform in front of different factors:

Tips for Writing an Effective Research Paper Title

Follow these tips to make your research paper title engaging and attention-grabbing:

• Add important words related to your research for better search results.
• Make your title brief and clear to convey your research focus effectively.
• Use words that grab attention and spark curiosity about your study.
• Craft a title that anyone, whether an expert or newcomer, can understand.
• Aim for a title that's not too general or too technical, striking the right balance.

In conclusion,

Writing a standout research paper title is a crucial step to ensure your work gets the attention it deserves. Following the simple tips shared in this guide can help you create a title that is clear, engaging, and perfectly aligned with your research focus. 

Remember, your title is the first thing readers see, so making it count is key!

However, if you need writing assistance, MyPerfectWords.com is here for you. Our skilled writers are not only ready to help with writing compelling titles but can also write custom research paper just for you.

So don’t wait! Reach out to our essay writing service today and take your academic writing to the next level!

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John K. is a professional writer and author with many publications to his name. He has a Ph.D. in the field of management sciences, making him an expert on the subject matter. John is highly sought after for his insights and knowledge, and he regularly delivers keynote speeches and conducts workshops on various topics related to writing and publishing. He is also a regular contributor to various online publications.

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Organizing Your Social Sciences Research Paper

• Choosing a Title
• Purpose of Guide
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• Reading Research Effectively
• Narrowing a Topic Idea
• Broadening a Topic Idea
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The title summarizes the main idea or ideas of your study. A good title contains the fewest possible words needed to adequately describe the content and/or purpose of your research paper.

Importance of Choosing a Good Title

The title is the part of a paper that is read the most, and it is usually read first . It is, therefore, the most important element that defines the research study. With this in mind, avoid the following when creating a title:

• If the title is too long, this usually indicates there are too many unnecessary words. Avoid language, such as, "A Study to Investigate the...," or "An Examination of the...." These phrases are obvious and generally superfluous unless they are necessary to covey the scope, intent, or type of a study.
• On the other hand, a title which is too short often uses words which are too broad and, thus, does not tell the reader what is being studied. For example, a paper with the title, "African Politics" is so non-specific the title could be the title of a book and so ambiguous that it could refer to anything associated with politics in Africa. A good title should provide information about the focus and/or scope of your research study.
• In academic writing, catchy phrases or non-specific language may be used, but only if it's within the context of the study [e.g., "Fair and Impartial Jury--Catch as Catch Can"]. However, in most cases, you should avoid including words or phrases that do not help the reader understand the purpose of your paper.
• Academic writing is a serious and deliberate endeavor. Avoid using humorous or clever journalistic styles of phrasing when creating the title to your paper. Journalistic headlines often use emotional adjectives [e.g., incredible, amazing, effortless] to highlight a problem experienced by the reader or use "trigger words" or interrogative words like how, what, when, or why to persuade people to read the article or click on a link. These approaches are viewed as counter-productive in academic writing. A reader does not need clever or humorous titles to catch their attention because the act of reading research is assumed to be deliberate based on a desire to learn and improve understanding of the problem. In addition, a humorous title can merely detract from the seriousness and authority of your research. 
• Unlike everywhere else in a college-level social sciences research paper [except when using direct quotes in the text], titles do not have to adhere to rigid grammatical or stylistic standards. For example, it could be appropriate to begin a title with a coordinating conjunction [i.e., and, but, or, nor, for, so, yet] if it makes sense to do so and does not detract from the purpose of the study [e.g., "Yet Another Look at Mutual Fund Tournaments"] or beginning the title with an inflected form of a verb such as those ending in -ing [e.g., "Assessing the Political Landscape: Structure, Cognition, and Power in Organizations"].

Appiah, Kingsley Richard et al. “Structural Organisation of Research Article Titles: A Comparative Study of Titles of Business, Gynaecology and Law.” Advances in Language and Literary Studies 10 (2019); Hartley James. “To Attract or to Inform: What are Titles for?” Journal of Technical Writing and Communication 35 (2005): 203-213; Jaakkola, Maarit. “Journalistic Writing and Style.” In Oxford Research Encyclopedia of Communication . Jon F. Nussbaum, editor. (New York: Oxford University Press, 2018): https://oxfordre.com/communication.

Structure and Writing Style

The following parameters can be used to help you formulate a suitable research paper title:

• The purpose of the research
• The scope of the research
• The narrative tone of the paper [typically defined by the type of the research]
• The methods used to study the problem

The initial aim of a title is to capture the reader’s attention and to highlight the research problem under investigation.

Create a Working Title Typically, the final title you submit to your professor is created after the research is complete so that the title accurately captures what has been done . The working title should be developed early in the research process because it can help anchor the focus of the study in much the same way the research problem does. Referring back to the working title can help you reorient yourself back to the main purpose of the study if you find yourself drifting off on a tangent while writing. The Final Title Effective titles in research papers have several characteristics that reflect general principles of academic writing.

• Indicate accurately the subject and scope of the study,
• Rarely use abbreviations or acronyms unless they are commonly known,
• Use words that create a positive impression and stimulate reader interest,
• Use current nomenclature from the field of study,
• Identify key variables, both dependent and independent,
• Reveal how the paper will be organized,
• Suggest a relationship between variables which supports the major hypothesis,
• Is limited to 5 to 15 substantive words,
• Does not include redundant phrasing, such as, "A Study of," "An Analysis of" or similar constructions,
• Takes the form of a question or declarative statement,
• If you use a quote as part of the title, the source of the quote is cited [usually using an asterisk and footnote],
• Use correct grammar and capitalization with all first words and last words capitalized, including the first word of a subtitle. All nouns, pronouns, verbs, adjectives, and adverbs that appear between the first and last words of the title are also capitalized, and
• Rarely uses an exclamation mark at the end of the title.

The Subtitle Subtitles are frequently used in social sciences research papers because it helps the reader understand the scope of the study in relation to how it was designed to address the research problem. Think about what type of subtitle listed below reflects the overall approach to your study and whether you believe a subtitle is needed to emphasize the investigative parameters of your research.

1.  Explains or provides additional context , e.g., "Linguistic Ethnography and the Study of Welfare Institutions as a Flow of Social Practices: The Case of Residential Child Care Institutions as Paradoxical Institutions." [Palomares, Manuel and David Poveda.  Text & Talk: An Interdisciplinary Journal of Language, Discourse and Communication Studies 30 (January 2010): 193-212]

2.  Adds substance to a literary, provocative, or imaginative title or quote , e.g., "Listen to What I Say, Not How I Vote": Congressional Support for the President in Washington and at Home." [Grose, Christian R. and Keesha M. Middlemass. Social Science Quarterly 91 (March 2010): 143-167]

3.  Qualifies the geographic scope of the research , e.g., "The Geopolitics of the Eastern Border of the European Union: The Case of Romania-Moldova-Ukraine." [Marcu, Silvia. Geopolitics 14 (August 2009): 409-432]

4.  Qualifies the temporal scope of the research , e.g., "A Comparison of the Progressive Era and the Depression Years: Societal Influences on Predictions of the Future of the Library, 1895-1940." [Grossman, Hal B. Libraries & the Cultural Record 46 (2011): 102-128]

5.  Focuses on investigating the ideas, theories, or work of a particular individual , e.g., "A Deliberative Conception of Politics: How Francesco Saverio Merlino Related Anarchy and Democracy." [La Torre, Massimo. Sociologia del Diritto 28 (January 2001): 75 - 98]

6.  Identifies the methodology used , e.g. "Student Activism of the 1960s Revisited: A Multivariate Analysis Research Note." [Aron, William S. Social Forces 52 (March 1974): 408-414]

7.  Defines the overarching technique for analyzing the research problem , e.g., "Explaining Territorial Change in Federal Democracies: A Comparative Historical Institutionalist Approach." [ Tillin, Louise. Political Studies 63 (August 2015): 626-641.

With these examples in mind, think about what type of subtitle reflects the overall approach to your study. This will help the reader understand the scope of the study in relation to how it was designed to address the research problem.

Anstey, A. “Writing Style: What's in a Title?” British Journal of Dermatology 170 (May 2014): 1003-1004; Balch, Tucker. How to Compose a Title for Your Research Paper. Augmented Trader blog. School of Interactive Computing, Georgia Tech University; Bavdekar, Sandeep B. “Formulating the Right Title for a Research Article.” Journal of Association of Physicians of India 64 (February 2016); Choosing the Proper Research Paper Titles. AplusReports.com, 2007-2012; Eva, Kevin W. “Titles, Abstracts, and Authors.” In How to Write a Paper . George M. Hall, editor. 5th edition. (Oxford: John Wiley and Sons, 2013), pp. 33-41; Hartley James. “To Attract or to Inform: What are Titles for?” Journal of Technical Writing and Communication 35 (2005): 203-213; General Format. The Writing Lab and The OWL. Purdue University; Kerkut G.A. “Choosing a Title for a Paper.” Comparative Biochemistry and Physiology Part A: Physiology 74 (1983): 1; “Tempting Titles.” In Stylish Academic Writing . Helen Sword, editor. (Cambridge, MA: Harvard University Press, 2012), pp. 63-75; Nundy, Samiran, et al. “How to Choose a Title?” In How to Practice Academic Medicine and Publish from Developing Countries? A Practical Guide . Edited by Samiran Nundy, Atul Kakar, and Zulfiqar A. Bhutta. (Springer Singapore, 2022), pp. 185-192.

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• How to Write a Great Title

Maximize search-ability and engage your readers from the very beginning

Your title is the first thing anyone who reads your article is going to see, and for many it will be where they stop reading. Learn how to write a title that helps readers find your article, draws your audience in and sets the stage for your research!

How your title impacts the success of your article

Researchers are busy and there will always be more articles to read than time to read them.  Good titles help readers find your research, and decide whether to keep reading. Search engines use titles to retrieve relevant articles based on users’ keyword searches. Once readers find your article, they’ll use the title as the first filter to decide whether your research is what they’re looking for. A strong and specific title is the first step toward citations, inclusion in meta-analyses, and influencing your field. 

What to include in a title

Include the most important information that will signal to your target audience that they should keep reading.

Key information about the study design

Important keywords

What you discovered

Writing tips

Getting the title right can be more difficult than it seems, and researchers refine their writing skills throughout their career. Some journals even help editors to re-write their titles during the publication process! 

• Keep it concise and informative What’s appropriate for titles varies greatly across disciplines. Take a look at some articles published in your field, and check the journal guidelines for character limits. Aim for fewer than 12 words, and check for journal specific word limits.
• Write for your audience Consider who your primary audience is: are they specialists in your specific field, are they cross-disciplinary, are they non-specialists?
• Entice the reader Find a way to pique your readers’ interest, give them enough information to keep them reading.
• Incorporate important keywords Consider what about your article will be most interesting to your audience: Most readers come to an article from a search engine, so take some time and include the important ones in your title!
• Write in sentence case In scientific writing, titles are given in sentence case. Capitalize only the first word of the text, proper nouns, and genus names. See our examples below.

Don’t

• Write your title as a question In most cases, you shouldn’t need to frame your title as a question. You have the answers, you know what you found. Writing your title as a question might draw your readers in, but it’s more likely to put them off.
• Sensationalize your research Be honest with yourself about what you truly discovered. A sensationalized or dramatic title might make a few extra people read a bit further into your article, but you don’t want them disappointed when they get to the results.

Examples…

Format: Prevalence of [disease] in [population] in [location]

Example: Prevalence of tuberculosis in homeless women in San Francisco

Format: Risk factors for [condition] among [population] in [location]

Example: Risk factors for preterm births among low-income women in Mexico City

Format (systematic review/meta-analysis): Effectiveness of [treatment] for [disease] in [population] for [outcome] : A systematic review and meta-analysis

Example: Effectiveness of Hepatitis B treatment in HIV-infected adolescents in the prevention of liver disease: A systematic review and meta-analysis

Format (clinical trial): [Intervention] improved [symptoms] of [disease] in [population] : A randomized controlled clinical trial

Example: Using a sleep app lessened insomnia in post-menopausal women in southwest United States: A randomized controlled clinical trial

Format  (general molecular studies): Characterization/identification/evaluation of [molecule name] in/from [organism/tissue] (b y [specific biological methods] ) 

Example: Identification of putative Type-I sex pheromone biosynthesis-related genes expressed in the female pheromone gland of Streltzoviella insularis

Format  (general molecular studies): [specific methods/analysis] of organism/tissue reveal insights into [function/role] of [molecule name] in [biological process]  

Example: Transcriptome landscape of Rafflesia cantleyi floral buds reveals insights into the roles of transcription factors and phytohormones in flower development

Format  (software/method papers): [tool/method/software] for [what purpose] in [what research area]

Example: CRISPR-based tools for targeted transcriptional and epigenetic regulation in plants

Tip: How to edit your work

Editing is challenging, especially if you are acting as both a writer and an editor. Read our guidelines for advice on how to refine your work, including useful tips for setting your intentions, re-review, and consultation with colleagues.

• How to Write an Abstract
• How to Write Your Methods
• How to Report Statistics
• How to Write Discussions and Conclusions
• How to Edit Your Work

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How to Write a Good Research Paper Title

Table of contents

• 1 Characteristics of a Good Title
• 2.1 Start with a Working Title
• 2.2 Prioritize Important Terms
• 2.3 Use Active Verbs
• 2.4 Avoid Clickbait Techniques
• 2.5 Keep It Short But Informative
• 2.6 Limit Vague Statements
• 2.7 Mention the Study Design
• 2.8 Avoid Abbreviations
• 2.9 Check for Similiar Titles
• 2.10 Don’t Be Too Technical and Forgetting Your Audience
• 3.1 Good and Bad Titles for a Research Paper
• 3.2 How to Title Research Paper in Your Field
• 4 Our Take on Crafting Research Paper Titles

While working on a scientific academic paper, writing a good research paper title is probably the least of your concerns. However, it becomes an “issue” down the drain when it comes to combining all the necessary elements of a great-sounding title in one heading.

The PapersOwl team wanted to help you figure it out, so we’ve created this guide on writing a catchy, topic-relevant title. Here’s what you’ll learn after going through this guide:

• We will delve into the essential attributes that make a research paper title effective and attention-grabbing, helping you understand what constitutes a good title.
• Give you practical tips on how to optimize your research paper heading in alignment with established academic guidelines.
• We will walk you through a process outlining the steps you should take to create a heading.
• Real-world examples of research paper headings will show how you can successfully encapsulate the essence of their respective papers.
• Here, you will find strategies and considerations for phrasing your paper title to resonate with a specific research discipline.

Let’s take it one step at a time, so we’ll dive into the elements of a great heading to show you what your heading should sound like first.

Characteristics of a Good Title

To write a perfect research paper title, you’ll need to know about the different types of headings first:

• Interrogative
• Humorous or colloquial

The key point for all these types is to make a catchy title that captures the tone and the essence of the topic with relevant keywords . If you decide to name a research paper with the interrogative approach, you can use the phrasing of a question-type heading to entice the readers to look for an answer.

Suggestive headings are a bit different as they indicate that a reader will have to keep reading to get an answer to the outlined thesis, only without phrasing it as a question. This is where things get interesting and start depending on the topic more because a humorous or colloquial title can’t always be used.

You should use these only if the title of the research topic allows it to be phrased in a common language and colloquial. Finally, the combined approach takes something from all these types and often makes the best option for general topics. You can take a look at our list to see what we mean by these characteristics:

Tips for Crafting the Perfect Title

If you are wondering about how to write a title for a research paper, you’ll find a lot of common knowledge tips for writing research paper titles. You may hear that it needs to be on-point, short, yet catchy and that it has to be interesting enough without compromising on keywords.

We also recommend that you keep in mind the formatting guidelines, including the APA format or another requested format. Still, we think it’s better to give you a more detailed set of tips to follow, so here’s our list of the most useful steps to take:

Start with a Working Title

The first tip we’ll give you is not to waste too much time wondering how to title a research paper. You should start with a working title that can be edited, revised and changed afterward.

Make sure to finish writing your paper first, and only then can you truly dedicate your time to creating a perfect title. By that time, you’ll already get a few ideas along the way, so try to think about how each new chapter may contribute as inspiration for the final title of the research project.

Prioritize Important Terms

It’s no secret that good research paper tiles simply need to include important and relevant terms in the paper. Since you won’t be able to make it a mile-long heading, it’s important to start with those terms first and try to build the rest around them.

We recommend writing down a few key terms for your research and topic in the heading first and then brainstorming ideas on how to make it sound catchy and fill up the gaps afterward.

Use Active Verbs

If you look at the good research paper title examples, you’ll notice a common denominator. Most of these headings have active verbs, which means you shouldn’t use verbs like “Study on” or “Analysis of”.

Instead, you can use active verbs like “Evaluating”, “Examining”, “Establishing”, “Interpreting”, and so on.

Avoid Clickbait Techniques

One of the most important things is not to make the title of the research paper sound like clickbait. Sure, it’s important to make it sound catchy and enticing, but avoid using the same format as clickbait news or journals.

The biggest difference between these two types of headings is that clickbait often doesn’t contain that much information on what seems to be the key thesis of the topic. It only serves to attract more readers and clicks.

However, your scientific paper’s title has to be on point with relevant topic keywords.

Keep It Short But Informative

This one is worth its weight in gold since there’s usually a certain word count limit for the research paper title. It may not be enforced strictly, but it’s still important to make the title short and concise to avoid topic confusion for the readers.

You can aim for around 10 to 12 words, just like with our example of a good title listed in the table above. Make sure to use a few relevant terms about your research first, and then fill in the gaps to create a title.

Limit Vague Statements

As we dive into the research paper title format more and more, you’ll notice that some titles feature vague statements. These are among the worst mistakes you can make, even though it initially may seem like vague titles are more enticing.

In reality, these are not news articles, so you’ll have to make a title catchy in another way and keep the heading specifically related to your research.

Mention the Study Design

If you have enough room in your title, you can also mention the study design. This means you can lay out a few details about the nature of your research methodology or variables used to explain certain scientific occurrences.

There’s no need to overdo it; you can simply create a catchy title and add something like “Using the (method name) method”, so it reveals something topic-related and represents your research.

Avoid Abbreviations

When coming up with the research paper name, it’s crucial to avoid abbreviations. Of course, this doesn’t reflect on the measurement units or similar pieces of data, but it’s better to steer away from these titles for research papers altogether.

Things can get a bit complex here since abbreviations may not be considered wrong if previously defined, but that would also consume too much space. So, make it simple and avoid using any acronyms or abbreviations within the title itself, but rather in the content sections.

Check for Similiar Titles

Sadly, this happens a lot more often than you would imagine, especially if you are a student working on research that’s commonly used as a subject. You may run into a problem if previous generations of students have used too similar or possibly even the same titles.

So, it’s best to check all this beforehand, and it goes the same way for scientific studies outside the academic frame. Also, when looking for custom research papers for sale , it’s important to make sure that the headings aren’t copied in any way.

Don’t Be Too Technical and Forgetting Your Audience

Finally, we have to encourage you to always keep in mind the tone of your research when naming a research paper. If the tone allows, you can get into the technical details, but make sure not to overdo it if that doesn’t suit the tone of the paper.

Try to think about the audience and who will read the research. This is the best way to not only create catchy research paper titles but also to ensure the use of the right voice. It’s also important to use the right style, depending on whether you are required to use the MLA guidelines or another format.

Examples of Research Paper Titles

After going through the technicalities, it’s time to give you a sample of title headings to show you what we mean in practice. We’ll also be giving you good and bad research title examples with a focus on the mentioned tips and steps for crafting a great title.

Good and Bad Titles for a Research Paper

We know it’s difficult to come up with a title for a research paper at first, but looking at the examples might help differentiate between good titles for research papers and bad ones. For instance, differentiating between vague and solid titles gets easier when you look at these few examples:

Vague: “A Study On Birds”

Improved: “Analyzing Migration Patterns of North American Sparrows”

Here’s another example of a vague title – “A Study on Facebook,” so you can see it’s pretty vague and short. An improved version would be “The Effects of Social Media on Psychological Health and Well-Being.”

It also comes in handy to differentiate between overly technical titles and acceptable titles with a glimpse of technical details. For example, the title “The Effect of 2,4-Dinitrophenol on ATP Synthase Activity in Mitochondria” can be simplified for wider audiences if needed.

You can use something like “Understanding the Impact of 2,4-Dinitrophenol on Cellular Energy Production” to make the title a bit catchier and acceptable for a wider audience.

How to Title Research Paper in Your Field

If you are still having some doubts even after going through all these tips, we completely get you. It’s not so easy to form a title for a research paper in practice, so we’ll put some of our skills to use to give you a few creative examples to lean on when figuring out your heading:

Titles for psychology research papers:

• Natural Methods For Fighting Stress Quickly and Effectively
• How to Make People Do What You Want: 5 Most Effective Methods
• A Full Guide on How Not to Be Influenced by Society
• Correlation Between Aggressive Adult Behaviour And An Unhappy Childhood
• How to Change Your Attitude to Life: Natural Methods That Really Work

Education and related topics:

• How to Get As and Work at the Same Time: Time-Management Tips for Students
• A Guide on How to Craft a Good Essay if You Have Only 1 Hour
• You Mean Nothing to Society if You Don’t Have a Degree
• Steps that Should be Taken to Improve the System of Education
• Great Tricks for Motivating Students

Heading examples for business papers:

• How to Start Your Own Business Without a Large Investment
• Benefits of Being Self-Employed You Have Never Thought Of
• 10 Great Business Ideas for Those Who Have No Money
• The Most Common Mistakes Beginning Businessmen Do
• The Secret Behind a Successful Business

Ideas for papers from the technology sphere:

• The Greatest Innovations in Technology in the Last 5 Years
• The Most Useful Technologies in Medicine
• Original Technologies that Will Change the Future
• The Role of Information Technology in Everyday Life
• The Benefits of Living in a Highly-Technological World

You can also rely on a research paper proofreading service to help out with some minor details that could make a change both for the title and the paper itself.

If you are facing issues with the research paper title ideas, we recommend that you save it for last and finish your work first before crafting a title.

This usually helps as you’ll have more inspiration after you’ve gone in-depth with the topic, and the heading may come naturally to you. If not, you can always refer to the PapersOwl team and have it crafted by our experts.

Our Take on Crafting Research Paper Titles

To summarize, everyone can tell you how it is to make a title for a research paper by making it sound catchy and topic-relevant. However, we have outlined all the necessary details in-depth through this guide so you can truly craft an admirable title for a research project.

The key is to know your audience, avoid vague titles and short word forms, and keep an active voice with a focus on relevant terms. So, we hope that this guide will serve as a pathway toward a perfect scientific title for your project.

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Writing Effective Research Paper Titles: Advice and Examples

Are you ready to submit your research paper for publication but haven't settled on a title yet? Do you have a title but aren't sure if it will be the right one for the journal editor or research database search engines? This article will help you fine tune or create an effective research paper title for your work.

Now that you have finished your research and analysis, and you're ready to take the final step before sending your work to journal editors and reviewers. The first thing journal editors and search engine results will see and show is your research paper title. Creating an effective research paper title is highly important to getting your paper in front of the right people. It is also going to be the only part of your paper that is available to everyone for free, and it will be what search engines use to index and show your work in search results. You therefore must design a clear and persuasive title that accurately represents your work.

When writing an effective research paper title, you want to ensure that the title includes all the relevant aspects of your work. Showcase those aspects in a way that entices the audience to read more. Be sure to use the nomenclature common in your field of study, because that will help your work show up in more search results and it will grab the attention of journal editors looking for articles that clearly represent the industry. If you are studying landslides, for example, you will want to include keywords relating to soil composition or grain size; if you are working on a study about organ transplants, then include the specific feature or procedure that affected successful transplants. Identify what parts of your research are going to interest your intended audience.

There are two key pieces of information that people will need to see in your paper title: the subject and the objective. Because you are already familiar with your study and its purpose, creating an effective research paper title is simply a matter of whittling down the words that describe the important aspects of your paper. The advice below will help you take steps to identify key areas of your research, organize the information, and trim it down to the right size for a title.

Develop a topic statement

To get started, consider a topic statement of your paper that includes the subject and scope of the study. The first step in building a topic statement is to ask yourself the following questions:

• What is your research paper about? "My paper is about gene therapy and how it can improve cognitive function in dementia patients."
• What was the subject of your study? "I used data from 40 dementia patients from 10 states in the US."
• What method did you use to perform your research? "I performed a randomized trial."
• What were the results? "My study showed that gene therapy improved cognitive function in those who received the treatment."

Once you have answered those questions (such as in the example answers above), make a list of the keywords you used. For this example, those keywords would include the following:

• gene therapy
• cognitive function
• 40 dementia patients
• improved cognitive function
• 10 states in the US
• randomized trial

Then, create your topic statement using those keywords. It might read something like this:

"This study is a randomized trial that investigates whether gene therapy improved cognitive function in 40 dementia patients from 10 states in the US. The results show improved cognitive function in those who received the treatment."

This statement has 36 words — too long for a title. However, it does contain the main required elements: the subject and the objective. It also includes a summary of the results, which can be used to increase the persuasive nature of the title. If you are writing this down on paper, it may be helpful to underline or circle the keywords you used in the statement, as this will help you visually see how the keywords work together in your statement.

Trim the statement

The next step is to remove all unnecessary words to create a working title. Unnecessary words include elements that make the sentences complete sentences. Also remove words that are not central to your study or that would not be used in a research database search.

" This study is a randomized trial that investigates whether gene therapy improved cognitive function in 40 dementia patients from 10 states in the US. The results show improved cognitive function in those who received the treatment ."

Next, take those words and move them around to form a new phrase. This may take a few tries to get it right, but it is worth the time.

"A randomized trial investigating whether gene therapy improved cognitive function in 40 dementia patients from 10 states in the US showed improved cognitive function."

This sample now has 24 words. We still need to get it down to the ideal 15 or fewer total words, with just the exact information journal editors will want. One way to do this is to use the keywords at the beginning and end of your title. Remove any irrelevant facts that other researchers will not be searching for. For example, the method you used is not usually the most searched-for keyword.

" A randomized trial investigating whether gene therapy improved cognitive function in 40 dementia patients from 10 states in the US showed improved cognitive function. "

The final result may be something like this:

"Investigating the impact of gene therapy on cognitive function in dementia patients"

The resulting title has 13 words, had the main action at the beginning, and the main subject of the study at the end. This is a good example of how to create an effective research paper title that will increase journal editors' and reviewers' interest, and it may even help your paper receive more citations down the road.

Main tips to remember

If you are working on your first research paper title, the process can seem intimidating. Even with the process outlined above, creating the best research paper title possible for your work can be difficult and time consuming. Be sure to set aside a good amount of time to developing your title so that you don't feel rushed. Some writers go through 20 or more iterations before they arrive at a title that achieves effectiveness, persuasiveness, and clarity of purpose all in one.

In addition to the above process, keep the following main tips in mind when writing an effective research paper title:

• Write your paper and abstract first, then work on your title. This will make the process much easier than trying to nail a title down without a full, finished paper to start from.
• Keep your title short! Do not include more than 15 words.
• Do not use a period at the end of your title.
• Be sure that the keywords you use truly represent the content of your paper.
• Do not use abbreviations in your title.
• Include all essential key terms from your paper. This ensures your paper will be indexed properly in research databases and search engines. If you are unsure of the best keywords to use, talk to an academic librarian at your institution. They can help you identify keyword and search trends in your research field.

Examples of research paper titles

The lists below illustrate what effective and ineffective research paper titles look like. Use these examples to help guide your research paper title.

Effective titles

• Nurses on the Move: A Quantitative Report on How Meditation Can Improve Nurse Performance
• Correction of the ion transport defect in cystic fibrosis transgenic mice by gene therapy
• Landslide mapping techniques and their use in the assessment of the landslide hazard
• HLA compatibility and organ transplant survival: Collaborative Transplant Study

Ineffective titles

• Meditation Gurus
• The landslide story
• Landslide hazard and risk assessment
• Pharmacodynamics of oral ganciclovir and valganciclovir in solid organ transplant recipients

No matter what kind of field you are doing research in, you have the opportunity to create an amazing and effective research paper title that will engage your readers and get your paper in front of the journal editors and reviewers you want. By taking the time to go through the title development process, you will finish your work with a title that matches the work outlined in your research paper.

Header photo by Stokkete .

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How to Write a Research Paper Title

Knowing how to write a research paper title is an art that not every researcher possesses, and researchers often spend a lot of time skimming through articles to find the right research paper title.

According to an interesting estimate, researchers read more than 100 publications every year and spend long hours, weeks and months searching for and reading articles relevant to their field of study. 1 While open access publishing and online repositories have made it easier to find articles, researchers still need to browse through a sea of research, often using research paper titles, to find relevant information for their research study. Researchers also face the challenge of ensuring their work reaches a broader audience in order to get more citations. This is where the importance of a good title for a research paper becomes evident.

Your research paper title is one of the first things readers in your research paper and plays an important role in influencing whether they will actually go through the entire article. This makes it critical to have a good research paper title that captures the reader’s attention. In this article, we look at the key characteristics of a good research title and what to keep in mind to create a research title that works for you.

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What to keep in mind when writing a research paper title

• Convey the key research findings: Before writing a research paper title, list down what your study is about, what you have achieved or discovered, and the methodology used. Try and identify the one or two key elements that make your study novel or significant in your subject area. Combine these elements to create the best research title that showcases your article accurately and effectively.
• Choose a declarative research paper title : Declarative titles are more informative and help readers to quickly grasp what the body of the article may contain. Therefore, it is considered to be more impactful and more likely to attract the reader’s attention. Additionally, most editors agree that papers with declarative titles are more likely to be shared online, allowing researchers to reach a far wider audience. 2
• A good research title must pique reader interest : Researchers browsing through online platforms during their literature search often spend only a few seconds to read the title and evaluate an article’s relevance. This makes it important to create a catchy title for your research paper that will spark curiosity in the minds of your audience, which may prompt them pause, read, share, and discuss your research paper.
• Avoid making any unsubstantiated claims: This is an important aspect to keep in mind when creating research paper titles. While it may be tempting to write titles with claims that will immediately attract reader attention and get you more citations, your research should be able to back-up these claims with substantive, studied evidence. Failing to do so can create mistrust about the research and even hurt your reputation.
• Keep it simple and avoid jargon: It’s tempting to use technical words in a research paper title when you know that your primary audience is most likely to be other researchers working in the same field. However, this can prove counter-productive as readers who are not familiar with these complicated words may end up skipping your article. Some early career researchers might also give your paper a pass as they may feel that it is too technical for them so avoid using jargon.

Let Paperpal generate a suitable title for your content in minutes. Try it now!

• Use phrases to keep your research title concise: One mistake early career researchers make is using full sentences to write the research paper title. Avoid complex phrases and unnecessary details as it makes the title unnecessarily lengthy. Remember to ensure proper syntax when trying to rephrase the title to make it leaner. A good research paper title offers a concise summary of the paper’s content; keep your title to under 12 words as lengthy titles can be hard to understand and may seem unfocused and uninteresting.
• Include keywords to make your article discoverable: Today most researchers turn to online databases and search engines like Google Scholar to find the right research. This makes it critical to identify and use the best keywords for your research subject/topic when creating a research title. The best research paper title is one that is easily discoverable, making it easy for your readers to find and read your article.

A review of more than 150,000 papers  submitted to UK’s Research Excellence Framework (REF) database found that the style of a research paper’s title impacted the number of citations it would typically receive. 3 Writing a good research paper title is worth the time and effort, and we’re sure the points listed above will help!

How to generate research paper titles with Paperpal?

A research paper title is the first impression for journal editors, reviewers, and readers to understand the aim and purpose of your research study. However, picking a research paper title that encapsulates your research’s content can be daunting. Your research paper title should accurately capture your work, contain highly searched keywords, and should also sound interesting to people who work on a similar topic.   

Paperpal’s secure generative AI helps you write research paper titles twice as fast, ensuring they align with your research topic. Follow these simple steps to create an impactful research paper title: 

• Sign Up or Log In: Start by creating an account or logging into Paperpal . 
• Paste your content: Once logged in, paste your research paper’s content or abstract onto the document. 
• Generate your title: Click on ‘Templates’ in the side navigation pane, go to Titles, and select ‘Generate’ . 

Paperpal will analyze your content and propose a fitting research paper title. If it doesn’t quite hit the mark, simply click regenerate to get additional title options until you find the perfect one. Remember, while Paperpal provides a solid starting point, personalizing the title to capture the essence of your research is key to making it stand out.  

• How Scientists Retrieve Publications: An Empirical Study of How the Internet Is Overtaking Paper Media. Journal of Electronic Publishing, December 2000. [Accessed November 3, 2022] Available at https://quod.lib.umich.edu/j/jep/3336451.0006.202?view=text;rgn=main
• Di Girolamo, N. Health care articles with simple and declarative titles were more likely to be in the Altmetric Top 100. Journal of Clinical Epidemiology, December 2016. [Accessed November 3, 2022] Available at https://www.jclinepi.com/article/S0895-4356(16)30853-8/fulltext
• Hudson, J. An analysis of the titles of papers submitted to the UK REF in 2014: authors, disciplines, and stylistic details. Scientometrics, July 2016. [Accessed November 3, 2022] Available at https://link.springer.com/article/10.1007/s11192-016-2081-4

Frequently Asked Questions (FAQs)

It is generally recommended to avoid using a question to write a good research paper title. Titles should be concise and informative, conveying the main focus of the study. While questions can be used in the introduction or research objectives, a clear and declarative title is preferred to accurately represent the content and purpose of the research.

A research paper title should be concise and to the point. Ideally, it should be around 10 to 12 words or less. A shorter title is more effective in grabbing readers’ attention and conveying the main idea succinctly. However, it’s important to ensure that the title still accurately represents the research and provides enough information for readers to understand the scope of the study.

Including specific keywords related to the research topic can be beneficial. Keywords help in indexing and searching for relevant papers. However, it is not necessary to include all keywords in the title. Instead, focus on incorporating essential and relevant keywords that reflect the core aspects of the study. Use keywords that are commonly used and recognized in the field to increase the discoverability and relevance of your research.

Abbreviations or acronyms should generally be avoided in the research paper title. The title should be clear and easily understandable to a broad audience. If an abbreviation is commonly used in the field and is essential to convey the research focus, it can be included, but it’s important to provide the full term upon its first mention in the paper for clarity.

Whether you can change the research paper title after submission depends on the specific guidelines and policies of the journal or conference. Some publications allow minor revisions, including title changes, during the review process. However, it is best to ensure that the title is carefully chosen and reviewed before submission. If a change is necessary, it is recommended to contact the editor or conference organizers for guidance on whether it’s permissible to modify the title.

The preferred formatting style for research paper titles varies depending on the specific guidelines of the target journal or conference. Generally, sentence case is commonly used, where only the first word and proper nouns are capitalized. However, some publications may prefer title case, where the first letter of each major word is capitalized. It is important to carefully review the submission guidelines or consult the specific style guide recommended by the publication to ensure consistency with their preferred formatting style.

Paperpal is a comprehensive AI writing toolkit that helps students and researchers achieve 2x the writing in half the time. It leverages 21+ years of STM experience and insights from millions of research articles to provide in-depth academic writing, language editing, and submission readiness support to help you write better, faster.  

Get accurate academic translations, rewriting support, grammar checks, vocabulary suggestions, and generative AI assistance that delivers human precision at machine speed. Try for free or upgrade to Paperpal Prime starting at US$19 a month to access premium features, including consistency, plagiarism, and 30+ submission readiness checks to help you succeed.  

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How To Write A Research Paper

Research Paper Title

How to Write a Good Research Paper Title

10 min read

Published on: Jan 5, 2024

Last updated on: Jan 30, 2024

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In scholarly writing, the title plays a subtle yet pivotal role. Ever wondered how a simple string of words can make or break a research paper's impact?

Your research paper's title serves as the initial point of contact for your reader, forming their first impression of your work. Therefore, careful consideration of your title is crucial.

There are fundamental principles to bear in mind: your title should be informative, attention-grabbing, and contextually fitting. 

This guide provides a detailed view of these essential qualities, by looking at the steps to write a research paper title. We'll break down what makes a great title. 

So let’s get started!

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What is Research Paper Title, and Why is it Important?

A research paper title is a concise and informative heading that encapsulates the main theme or focus of a research study. It serves as the first point of contact between the reader and the research paper, providing a peek into the purpose of the study. 

It is important because the research paper title tells readers what the study is about almost instantly. 

A good title not only grabs attention but also helps in finding the research online. It shows the professionalism of the study and makes it easier for everyone to understand and engage with the research. 

So, a well-crafted title is like a guide that leads readers to the core of the research.

Characteristics of a Good Research Title

According to rhetoric scholars Hairston and Keene , creating an effective paper title involves achieving the goals outlined below:

• Content Preview: A good title gives a glimpse of the research content.
• Engagement Factor: An effective title sparks reader interest.
• Tone Alignment: It reflects the scholarly tone of the paper.
• Keyword Integration: Includes essential keywords for better searchability.
• Prioritize Clarity: Use clear, concise language for broad understanding.
• Embrace Conciseness: Keep titles brief, omitting unnecessary details.
• Ensure Specificity: Include unique details to distinguish the research.

With these 7 characteristics of a research title in mind, let's now explore the steps to craft an ideal research paper title.

How to Write a Research Paper Title in 5 Steps

In the following sections, we'll walk through a five-step process designed to help you create a title that is truly impressive. 

Step 1: Define the Core Elements of Your Research

Before crafting your research paper title, it's essential to answer key questions about your study. These questions help you identify the main focus and key components of your research paper. Consider:

• Research Topic: What is the primary subject of your study?
• Research Problem or Question: What issue are you addressing, or what question are you seeking to answer?
• Methodology: What methods or approaches did you use in your research?
• Results/Findings: What are the main outcomes of your study?

Step 2: Identify Essential Keywords

Identify significant keywords related to your research paper. These terms will play a crucial role in creating a title that effectively communicates your study's focus.

Step 3: Constructing a Research Title Using Keywords 

Combine the identified keywords into a concise and descriptive research paper title. Weave together the essential elements of your study while maintaining clarity and relevance.

The sentence above, describing the research on smoking cessation programs, is undoubtedly too lengthy for a research paper title . Therefore, the forthcoming steps will involve refining and succinctly polishing the title for clarity and conciseness.

Step 4: Develop a Working Research Title

To create a working title, remove elements that make it a complete sentence but keep everything important to the study. Delete unnecessary and redundant words not central to the research or likely excluded from a database search.

Original Working Title:

Refined Title:

Note: The goal is to shorten the title to 16 words or fewer, making it concise and effective for a research paper.

Step 5: Trim Unnecessary Words and Phrases

Remove any nonessential words and phrases from your title. The number of subjects studied and exact outcomes may not be crucial, and detailed methods can be omitted for conciseness. Focus on key terms for database search optimization.

Final Refined Title: 

Adding a Research Paper Subtitle

If your title needs additional details about your methodology or sample, consider adding a subtitle after a colon.

Research Paper Title Examples

Let's start by examining research title examples suitable for students. We will explore the basic formats for research paper title pages, including MLA and APA styles.

Research Paper Title Page MLA

Title Page For A Research Paper APA Style

Scientific Paper Title

Here are 5 examples of research titles for scientific papers:

Tips on Formulating a Good Research Paper Title

When creating a title for your research paper, consider the following general tips to capture the reader's attention and effectively convey the purpose of your study:

• Summarize your research in the fewest possible words to maintain clarity and reader engagement.
• Incorporate essential keywords that researchers working in your field are likely to use.
• Use compelling and attention-grabbing language to make your title stand out.
• Ensure your title accurately captures the purpose of your research, conveying the central question or objective.
• Clearly define the scope of the study in the title, indicating the specific focus of your research.
• Consider phrasing your title in the form of a question if it enhances the intrigue and aligns with the nature of your research.
• Prioritize readability and clarity to make your title easily understandable for a broad audience.
• Optimize your title for search engines by including relevant keywords that researchers might use when seeking similar studies.
• Minimize the use of field-specific jargon that may alienate readers unfamiliar with your subject.
• Ensure the title summarizes the core findings or contributions of your research.

Research Paper Title Checklist

Here's a checklist table to guide you on how to write a research paper title:

In conclusion , writing an effective research paper title is a vital skill that demands accuracy, clarity, and engagement. Prioritize conciseness and specificity while ensuring relevance to the research content. Remember to integrate essential keywords for enhanced searchability. 

If you find yourself struggling, fear not. CollegeEssay.org is here to assist. With a wealth of experience aiding scholars worldwide, our professional writing service ensures meticulously crafted titles that resonate with your research. 

Connect with our research paper writing service for expert assistance – let us elevate your paper's impact and resonance.

Can abbreviations or acronyms be used in the research paper title?

While sparingly acceptable, it's advisable to initially use full terms in the title for clarity. Introduce abbreviations later in the paper to avoid potential confusion for readers unfamiliar with the terms.

Is it advisable to formulate the research paper title as a question?

Crafting the title as a declarative statement is preferable. It provides a clear indication of the study's main focus and findings, enhancing reader engagement and comprehension.

Should the research paper title be in sentence case or title case?

Follow the specific style guidelines recommended by your institution or the publisher. Some styles prefer sentence case (where only the first word and proper nouns are capitalized), while others recommend title case (where major words are capitalized). Consistency is key to maintaining a polished appearance.

Is it permissible to change the research paper title after submission?

Post-submission changes to the title may be challenging, so it's crucial to carefully finalize and review the title before submitting the paper to avoid complications in the publication process.

Is it beneficial to include specific keywords in the research paper title?

Yes, incorporating keywords relevant to your study increases the discoverability of your research. It helps search engines, databases, and readers quickly identify the core themes of your paper.

John K. (Research)

John K. is a professional writer and author with many publications to his name. He has a Ph.D. in the field of management sciences, making him an expert on the subject matter. John is highly sought after for his insights and knowledge, and he regularly delivers keynote speeches and conducts workshops on various topics related to writing and publishing. He is also a regular contributor to various online publications.

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Writing the title and abstract for a research paper: Being concise, precise, and meticulous is the key

Milind s. tullu.

Department of Pediatrics, Seth G.S. Medical College and KEM Hospital, Parel, Mumbai, Maharashtra, India

This article deals with formulating a suitable title and an appropriate abstract for an original research paper. The “title” and the “abstract” are the “initial impressions” of a research article, and hence they need to be drafted correctly, accurately, carefully, and meticulously. Often both of these are drafted after the full manuscript is ready. Most readers read only the title and the abstract of a research paper and very few will go on to read the full paper. The title and the abstract are the most important parts of a research paper and should be pleasant to read. The “title” should be descriptive, direct, accurate, appropriate, interesting, concise, precise, unique, and should not be misleading. The “abstract” needs to be simple, specific, clear, unbiased, honest, concise, precise, stand-alone, complete, scholarly, (preferably) structured, and should not be misrepresentative. The abstract should be consistent with the main text of the paper, especially after a revision is made to the paper and should include the key message prominently. It is very important to include the most important words and terms (the “keywords”) in the title and the abstract for appropriate indexing purpose and for retrieval from the search engines and scientific databases. Such keywords should be listed after the abstract. One must adhere to the instructions laid down by the target journal with regard to the style and number of words permitted for the title and the abstract.

Introduction

This article deals with drafting a suitable “title” and an appropriate “abstract” for an original research paper. Because the “title” and the “abstract” are the “initial impressions” or the “face” of a research article, they need to be drafted correctly, accurately, carefully, meticulously, and consume time and energy.[ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ] Often, these are drafted after the complete manuscript draft is ready.[ 2 , 3 , 4 , 5 , 9 , 10 , 11 ] Most readers will read only the title and the abstract of a published research paper, and very few “interested ones” (especially, if the paper is of use to them) will go on to read the full paper.[ 1 , 2 ] One must remember to adhere to the instructions laid down by the “target journal” (the journal for which the author is writing) regarding the style and number of words permitted for the title and the abstract.[ 2 , 4 , 5 , 7 , 8 , 9 , 12 ] Both the title and the abstract are the most important parts of a research paper – for editors (to decide whether to process the paper for further review), for reviewers (to get an initial impression of the paper), and for the readers (as these may be the only parts of the paper available freely and hence, read widely).[ 4 , 8 , 12 ] It may be worth for the novice author to browse through titles and abstracts of several prominent journals (and their target journal as well) to learn more about the wording and styles of the titles and abstracts, as well as the aims and scope of the particular journal.[ 5 , 7 , 9 , 13 ]

The details of the title are discussed under the subheadings of importance, types, drafting, and checklist.

Importance of the title

When a reader browses through the table of contents of a journal issue (hard copy or on website), the title is the “ first detail” or “face” of the paper that is read.[ 2 , 3 , 4 , 5 , 6 , 13 ] Hence, it needs to be simple, direct, accurate, appropriate, specific, functional, interesting, attractive/appealing, concise/brief, precise/focused, unambiguous, memorable, captivating, informative (enough to encourage the reader to read further), unique, catchy, and it should not be misleading.[ 1 , 2 , 3 , 4 , 5 , 6 , 9 , 12 ] It should have “just enough details” to arouse the interest and curiosity of the reader so that the reader then goes ahead with studying the abstract and then (if still interested) the full paper.[ 1 , 2 , 4 , 13 ] Journal websites, electronic databases, and search engines use the words in the title and abstract (the “keywords”) to retrieve a particular paper during a search; hence, the importance of these words in accessing the paper by the readers has been emphasized.[ 3 , 4 , 5 , 6 , 12 , 14 ] Such important words (or keywords) should be arranged in appropriate order of importance as per the context of the paper and should be placed at the beginning of the title (rather than the later part of the title, as some search engines like Google may just display only the first six to seven words of the title).[ 3 , 5 , 12 ] Whimsical, amusing, or clever titles, though initially appealing, may be missed or misread by the busy reader and very short titles may miss the essential scientific words (the “keywords”) used by the indexing agencies to catch and categorize the paper.[ 1 , 3 , 4 , 9 ] Also, amusing or hilarious titles may be taken less seriously by the readers and may be cited less often.[ 4 , 15 ] An excessively long or complicated title may put off the readers.[ 3 , 9 ] It may be a good idea to draft the title after the main body of the text and the abstract are drafted.[ 2 , 3 , 4 , 5 ]

Types of titles

Titles can be descriptive, declarative, or interrogative. They can also be classified as nominal, compound, or full-sentence titles.

Descriptive or neutral title

This has the essential elements of the research theme, that is, the patients/subjects, design, interventions, comparisons/control, and outcome, but does not reveal the main result or the conclusion.[ 3 , 4 , 12 , 16 ] Such a title allows the reader to interpret the findings of the research paper in an impartial manner and with an open mind.[ 3 ] These titles also give complete information about the contents of the article, have several keywords (thus increasing the visibility of the article in search engines), and have increased chances of being read and (then) being cited as well.[ 4 ] Hence, such descriptive titles giving a glimpse of the paper are generally preferred.[ 4 , 16 ]

Declarative title

This title states the main finding of the study in the title itself; it reduces the curiosity of the reader, may point toward a bias on the part of the author, and hence is best avoided.[ 3 , 4 , 12 , 16 ]

Interrogative title

This is the one which has a query or the research question in the title.[ 3 , 4 , 16 ] Though a query in the title has the ability to sensationalize the topic, and has more downloads (but less citations), it can be distracting to the reader and is again best avoided for a research article (but can, at times, be used for a review article).[ 3 , 6 , 16 , 17 ]

From a sentence construct point of view, titles may be nominal (capturing only the main theme of the study), compound (with subtitles to provide additional relevant information such as context, design, location/country, temporal aspect, sample size, importance, and a provocative or a literary; for example, see the title of this review), or full-sentence titles (which are longer and indicate an added degree of certainty of the results).[ 4 , 6 , 9 , 16 ] Any of these constructs may be used depending on the type of article, the key message, and the author's preference or judgement.[ 4 ]

Drafting a suitable title

A stepwise process can be followed to draft the appropriate title. The author should describe the paper in about three sentences, avoiding the results and ensuring that these sentences contain important scientific words/keywords that describe the main contents and subject of the paper.[ 1 , 4 , 6 , 12 ] Then the author should join the sentences to form a single sentence, shorten the length (by removing redundant words or adjectives or phrases), and finally edit the title (thus drafted) to make it more accurate, concise (about 10–15 words), and precise.[ 1 , 3 , 4 , 5 , 9 ] Some journals require that the study design be included in the title, and this may be placed (using a colon) after the primary title.[ 2 , 3 , 4 , 14 ] The title should try to incorporate the Patients, Interventions, Comparisons and Outcome (PICO).[ 3 ] The place of the study may be included in the title (if absolutely necessary), that is, if the patient characteristics (such as study population, socioeconomic conditions, or cultural practices) are expected to vary as per the country (or the place of the study) and have a bearing on the possible outcomes.[ 3 , 6 ] Lengthy titles can be boring and appear unfocused, whereas very short titles may not be representative of the contents of the article; hence, optimum length is required to ensure that the title explains the main theme and content of the manuscript.[ 4 , 5 , 9 ] Abbreviations (except the standard or commonly interpreted ones such as HIV, AIDS, DNA, RNA, CDC, FDA, ECG, and EEG) or acronyms should be avoided in the title, as a reader not familiar with them may skip such an article and nonstandard abbreviations may create problems in indexing the article.[ 3 , 4 , 5 , 6 , 9 , 12 ] Also, too much of technical jargon or chemical formulas in the title may confuse the readers and the article may be skipped by them.[ 4 , 9 ] Numerical values of various parameters (stating study period or sample size) should also be avoided in the titles (unless deemed extremely essential).[ 4 ] It may be worthwhile to take an opinion from a impartial colleague before finalizing the title.[ 4 , 5 , 6 ] Thus, multiple factors (which are, at times, a bit conflicting or contrasting) need to be considered while formulating a title, and hence this should not be done in a hurry.[ 4 , 6 ] Many journals ask the authors to draft a “short title” or “running head” or “running title” for printing in the header or footer of the printed paper.[ 3 , 12 ] This is an abridged version of the main title of up to 40–50 characters, may have standard abbreviations, and helps the reader to navigate through the paper.[ 3 , 12 , 14 ]

Checklist for a good title

Table 1 gives a checklist/useful tips for drafting a good title for a research paper.[ 1 , 2 , 3 , 4 , 5 , 6 , 12 ] Table 2 presents some of the titles used by the author of this article in his earlier research papers, and the appropriateness of the titles has been commented upon. As an individual exercise, the reader may try to improvise upon the titles (further) after reading the corresponding abstract and full paper.

Checklist/useful tips for drafting a good title for a research paper

Some titles used by author of this article in his earlier publications and remark/comment on their appropriateness

The Abstract

The details of the abstract are discussed under the subheadings of importance, types, drafting, and checklist.

Importance of the abstract

The abstract is a summary or synopsis of the full research paper and also needs to have similar characteristics like the title. It needs to be simple, direct, specific, functional, clear, unbiased, honest, concise, precise, self-sufficient, complete, comprehensive, scholarly, balanced, and should not be misleading.[ 1 , 2 , 3 , 7 , 8 , 9 , 10 , 11 , 13 , 17 ] Writing an abstract is to extract and summarize (AB – absolutely, STR – straightforward, ACT – actual data presentation and interpretation).[ 17 ] The title and abstracts are the only sections of the research paper that are often freely available to the readers on the journal websites, search engines, and in many abstracting agencies/databases, whereas the full paper may attract a payment per view or a fee for downloading the pdf copy.[ 1 , 2 , 3 , 7 , 8 , 10 , 11 , 13 , 14 ] The abstract is an independent and stand-alone (that is, well understood without reading the full paper) section of the manuscript and is used by the editor to decide the fate of the article and to choose appropriate reviewers.[ 2 , 7 , 10 , 12 , 13 ] Even the reviewers are initially supplied only with the title and the abstract before they agree to review the full manuscript.[ 7 , 13 ] This is the second most commonly read part of the manuscript, and therefore it should reflect the contents of the main text of the paper accurately and thus act as a “real trailer” of the full article.[ 2 , 7 , 11 ] The readers will go through the full paper only if they find the abstract interesting and relevant to their practice; else they may skip the paper if the abstract is unimpressive.[ 7 , 8 , 9 , 10 , 13 ] The abstract needs to highlight the selling point of the manuscript and succeed in luring the reader to read the complete paper.[ 3 , 7 ] The title and the abstract should be constructed using keywords (key terms/important words) from all the sections of the main text.[ 12 ] Abstracts are also used for submitting research papers to a conference for consideration for presentation (as oral paper or poster).[ 9 , 13 , 17 ] Grammatical and typographic errors reflect poorly on the quality of the abstract, may indicate carelessness/casual attitude on part of the author, and hence should be avoided at all times.[ 9 ]

Types of abstracts

The abstracts can be structured or unstructured. They can also be classified as descriptive or informative abstracts.

Structured and unstructured abstracts

Structured abstracts are followed by most journals, are more informative, and include specific subheadings/subsections under which the abstract needs to be composed.[ 1 , 7 , 8 , 9 , 10 , 11 , 13 , 17 , 18 ] These subheadings usually include context/background, objectives, design, setting, participants, interventions, main outcome measures, results, and conclusions.[ 1 ] Some journals stick to the standard IMRAD format for the structure of the abstracts, and the subheadings would include Introduction/Background, Methods, Results, And (instead of Discussion) the Conclusion/s.[ 1 , 2 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 17 , 18 ] Structured abstracts are more elaborate, informative, easy to read, recall, and peer-review, and hence are preferred; however, they consume more space and can have same limitations as an unstructured abstract.[ 7 , 9 , 18 ] The structured abstracts are (possibly) better understood by the reviewers and readers. Anyway, the choice of the type of the abstract and the subheadings of a structured abstract depend on the particular journal style and is not left to the author's wish.[ 7 , 10 , 12 ] Separate subheadings may be necessary for reporting meta-analysis, educational research, quality improvement work, review, or case study.[ 1 ] Clinical trial abstracts need to include the essential items mentioned in the CONSORT (Consolidated Standards Of Reporting Trials) guidelines.[ 7 , 9 , 14 , 19 ] Similar guidelines exist for various other types of studies, including observational studies and for studies of diagnostic accuracy.[ 20 , 21 ] A useful resource for the above guidelines is available at www.equator-network.org (Enhancing the QUAlity and Transparency Of health Research). Unstructured (or non-structured) abstracts are free-flowing, do not have predefined subheadings, and are commonly used for papers that (usually) do not describe original research.[ 1 , 7 , 9 , 10 ]

The four-point structured abstract: This has the following elements which need to be properly balanced with regard to the content/matter under each subheading:[ 9 ]

Background and/or Objectives: This states why the work was undertaken and is usually written in just a couple of sentences.[ 3 , 7 , 8 , 9 , 10 , 12 , 13 ] The hypothesis/study question and the major objectives are also stated under this subheading.[ 3 , 7 , 8 , 9 , 10 , 12 , 13 ]

Methods: This subsection is the longest, states what was done, and gives essential details of the study design, setting, participants, blinding, sample size, sampling method, intervention/s, duration and follow-up, research instruments, main outcome measures, parameters evaluated, and how the outcomes were assessed or analyzed.[ 3 , 7 , 8 , 9 , 10 , 12 , 13 , 14 , 17 ]

Results/Observations/Findings: This subheading states what was found, is longer, is difficult to draft, and needs to mention important details including the number of study participants, results of analysis (of primary and secondary objectives), and include actual data (numbers, mean, median, standard deviation, “P” values, 95% confidence intervals, effect sizes, relative risks, odds ratio, etc.).[ 3 , 7 , 8 , 9 , 10 , 12 , 13 , 14 , 17 ]

Conclusions: The take-home message (the “so what” of the paper) and other significant/important findings should be stated here, considering the interpretation of the research question/hypothesis and results put together (without overinterpreting the findings) and may also include the author's views on the implications of the study.[ 3 , 7 , 8 , 9 , 10 , 12 , 13 , 14 , 17 ]

The eight-point structured abstract: This has the following eight subheadings – Objectives, Study Design, Study Setting, Participants/Patients, Methods/Intervention, Outcome Measures, Results, and Conclusions.[ 3 , 9 , 18 ] The instructions to authors given by the particular journal state whether they use the four- or eight-point abstract or variants thereof.[ 3 , 14 ]

Descriptive and Informative abstracts

Descriptive abstracts are short (75–150 words), only portray what the paper contains without providing any more details; the reader has to read the full paper to know about its contents and are rarely used for original research papers.[ 7 , 10 ] These are used for case reports, reviews, opinions, and so on.[ 7 , 10 ] Informative abstracts (which may be structured or unstructured as described above) give a complete detailed summary of the article contents and truly reflect the actual research done.[ 7 , 10 ]

Drafting a suitable abstract

It is important to religiously stick to the instructions to authors (format, word limit, font size/style, and subheadings) provided by the journal for which the abstract and the paper are being written.[ 7 , 8 , 9 , 10 , 13 ] Most journals allow 200–300 words for formulating the abstract and it is wise to restrict oneself to this word limit.[ 1 , 2 , 3 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 22 ] Though some authors prefer to draft the abstract initially, followed by the main text of the paper, it is recommended to draft the abstract in the end to maintain accuracy and conformity with the main text of the paper (thus maintaining an easy linkage/alignment with title, on one hand, and the introduction section of the main text, on the other hand).[ 2 , 7 , 9 , 10 , 11 ] The authors should check the subheadings (of the structured abstract) permitted by the target journal, use phrases rather than sentences to draft the content of the abstract, and avoid passive voice.[ 1 , 7 , 9 , 12 ] Next, the authors need to get rid of redundant words and edit the abstract (extensively) to the correct word count permitted (every word in the abstract “counts”!).[ 7 , 8 , 9 , 10 , 13 ] It is important to ensure that the key message, focus, and novelty of the paper are not compromised; the rationale of the study and the basis of the conclusions are clear; and that the abstract is consistent with the main text of the paper.[ 1 , 2 , 3 , 7 , 9 , 11 , 12 , 13 , 14 , 17 , 22 ] This is especially important while submitting a revision of the paper (modified after addressing the reviewer's comments), as the changes made in the main (revised) text of the paper need to be reflected in the (revised) abstract as well.[ 2 , 10 , 12 , 14 , 22 ] Abbreviations should be avoided in an abstract, unless they are conventionally accepted or standard; references, tables, or figures should not be cited in the abstract.[ 7 , 9 , 10 , 11 , 13 ] It may be worthwhile not to rush with the abstract and to get an opinion by an impartial colleague on the content of the abstract; and if possible, the full paper (an “informal” peer-review).[ 1 , 7 , 8 , 9 , 11 , 17 ] Appropriate “Keywords” (three to ten words or phrases) should follow the abstract and should be preferably chosen from the Medical Subject Headings (MeSH) list of the U.S. National Library of Medicine ( https://meshb.nlm.nih.gov/search ) and are used for indexing purposes.[ 2 , 3 , 11 , 12 ] These keywords need to be different from the words in the main title (the title words are automatically used for indexing the article) and can be variants of the terms/phrases used in the title, or words from the abstract and the main text.[ 3 , 12 ] The ICMJE (International Committee of Medical Journal Editors; http://www.icmje.org/ ) also recommends publishing the clinical trial registration number at the end of the abstract.[ 7 , 14 ]

Checklist for a good abstract

Table 3 gives a checklist/useful tips for formulating a good abstract for a research paper.[ 1 , 2 , 3 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 17 , 22 ]

Checklist/useful tips for formulating a good abstract for a research paper

Concluding Remarks

This review article has given a detailed account of the importance and types of titles and abstracts. It has also attempted to give useful hints for drafting an appropriate title and a complete abstract for a research paper. It is hoped that this review will help the authors in their career in medical writing.

Financial support and sponsorship

Conflicts of interest.

There are no conflicts of interest.

Acknowledgement

The author thanks Dr. Hemant Deshmukh - Dean, Seth G.S. Medical College & KEM Hospital, for granting permission to publish this manuscript.

Title Page in Research Paper: Importance, Guidelines & Examples

Make your research paper stand out with an impressive title page. Learn how to craft the perfect title page in research paper in this guide.

The title page is a crucial component of a research paper, serving as the first point of contact between the reader and the study. It provides readers with a first impression, signaling the credibility and relevance of the work. Beyond conveying essential information, a well-designed title page adds visual appeal to the paper, contributing to its overall presentation. In this article, we will explore the importance of title pages in research papers, exploring how they capture attention, convey vital information, and enhance the overall quality of the study.

Overview of Title Page in Research Paper:

The title page in research paper is typically located at the beginning of the document and provides key information about the paper. The title page presents a professional and organized appearance, setting the tone for the entire research paper.

Purpose of a Title Page

The purpose of a title page in a research paper is to convey important details about the study. It includes the title of the paper, the author’s name, the institutional affiliation, and sometimes additional information such as the course name, instructor’s name, or submission date. The title page helps to identify and differentiate the research paper, making it easier for readers, instructors, and researchers to locate, reference, and cite the work accurately. Additionally, it establishes the credibility and professionalism of the study, demonstrating the author’s attention to detail and adherence to academic standards.

Creating a Title Page

To create a title page for a research paper, start by centering the title of your paper at the top of the page. Then, on separate lines, include your name, your affiliation (university or institution), and the date of submission. Optionally, you can also include the course name, instructor’s name, and any other relevant information specified by your institution or guidelines. Make sure to format the title page according to the required style guide (e.g., APA , MLA ) with consistent font, spacing, and alignment.

Elements of a Title Page

A title page is an essential component of a research paper, providing key information about the study and its authors. The elements commonly included on a title page are:

Title : Choose a concise and descriptive title that accurately reflects the main focus of your research. It should be informative, engaging, and capture the essence of your study.

Author’s Name : Include your full name as the author of the research paper. If there are multiple authors, list them in the order they contributed to the study.

Institutional Affiliation : Mention the name of the institution or organization with which you are affiliated. This could be your university, research institute, or academic department.

Course Information : If the research paper is being submitted for a course, include the course name and number.

Date : Indicate the date of submission or completion of the research paper.

Instructor : Include the instructor’s name below the author’s name, affiliation, and course (if the paper is being submitted for a course), using a centered format.

Page Number : Typically, the title page is counted as page 1, although it is often not numbered. Numbering usually starts on the second page, which is usually the abstract or introduction.

Formatting Guidelines for a Title Page

The formatting guidelines for a title page provide specific instructions on how to structure and present the elements of a title page in a research paper. These guidelines ensure consistency and uniformity in academic writing. They may vary depending on the required citation style, such as APA (American Psychological Association) or MLA (Modern Language Association).

APA Formatting Guidelines

The APA formatting guidelines provide a set of rules for formatting academic papers, including the title page. According to APA guidelines, the title page should include the title of the paper, the author’s name, institutional affiliation, and a running head. The running head is a shortened version of the paper’s title and appears at the top of each page. Additionally, APA guidelines specify the use of specific font size and type, margins, and alignment for the title page.

MLA Formatting Guidelines

The MLA formatting guidelines, commonly used in humanities and liberal arts disciplines, also provide instructions for creating a title page. According to MLA guidelines, the title page should include the title of the paper, the author’s name, the course name and number, the instructor’s name, and the due date. Unlike APA, MLA does not require a running head on the title page. MLA guidelines specify the use of specific font size and type, margins, and alignment for the title page.

Title Page Examples

Title page examples provide visual representations of how a title page should be formatted and organized in different contexts. These examples serve as valuable references for students and professionals to understand the layout and presentation of a title page in various academic or professional settings.

Student Version Example

A student version example of a title page demonstrates how a title page should be formatted for academic papers or assignments completed by students. It typically includes the paper’s title, the student’s name, the course name and number, the instructor’s name, and the date. This example is designed to meet the specific requirements and guidelines provided by the educational institution or instructor.

Professional Version Example

A professional version example of a title page showcases how a title page should be formatted for research papers, articles, or other professional documents. In addition to the title, it typically includes the author’s name, institutional affiliation, and any relevant professional credentials. This example follows the formatting guidelines of the specific citation style used in the professional field, such as APA or MLA, and may also include additional information such as the publication date or the name of the journal or conference.

6 Tips for Writing an Effective Title Page

Here are some tips for writing an effective title page:

1. Follow the formatting guidelines

Familiarize yourself with the specific formatting guidelines provided by your educational institution or the citation style you are using (such as APA or MLA). Adhere to these guidelines for font size, margins, spacing, and other formatting elements.

2. Use a clear and concise title

The title should accurately reflect the content of your paper or document in a concise and descriptive manner. Avoid using vague or ambiguous titles that may confuse readers.

3. Include relevant information

Include essential information such as the author’s name, the title of the work, the course or assignment name (if applicable), the instructor’s name, and the date of submission. Ensure that all required elements are included based on the guidelines provided.

4. Use consistent formatting

Maintain consistency in font style, size, and formatting throughout the title page. This helps create a professional and organized appearance.

5. Consider the placement of elements

Arrange the elements on the title page in a logical and visually appealing manner. Typically, the title is centered at the top, followed by the author’s name and other details.

6. Double-check for accuracy

Before finalizing your title page, review it carefully for any spelling or grammatical errors. Make sure all the information provided is accurate and up to date.

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Organizing Academic Research Papers: Choosing a Title

• Purpose of Guide
• Design Flaws to Avoid
• Glossary of Research Terms
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Choosing a Title
• Making an Outline
• Paragraph Development
• Executive Summary
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tertiary Sources
• What Is Scholarly vs. Popular?
• Qualitative Methods
• Quantitative Methods
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Annotated Bibliography
• Dealing with Nervousness
• Using Visual Aids
• Grading Someone Else's Paper
• How to Manage Group Projects
• Multiple Book Review Essay
• Reviewing Collected Essays
• About Informed Consent
• Writing Field Notes
• Writing a Policy Memo
• Writing a Research Proposal
• Acknowledgements

The title summarizes the main idea or ideas of your study. A good title contains the fewest possible words that adequately describe the contents and/or purpose of your research paper.

The title is without doubt the part of a paper that is read the most, and it is usually read first . If the title is too long it usually contains too many unnecessary words, e.g., "A Study to Investigate the...." On the other hand, a title which is too short often uses words which are too general. For example, "African Politics" could be the title of a book, but it does not provide any information on the focus of a research paper.

Structure and Writing Style

The following parameters can be used to help you formulate a suitable research paper title:

• The purpose of the research
• The narrative tone of the paper [typically defined by the type of the research]
• The methods used

The initial aim of a title is to capture the reader’s attention and to draw his or her attention to the research problem being investigated.

Create a Working Title Typically, the final title you submit to your professor is created after the research is complete so that the title accurately captures what was done . The working title should be developed early in the research process because it can help anchor the focus of the study in much the same way the research problem does. Referring back to the working title can help you reorient yourself back to the main purpose of the study if you feel yourself drifting off on a tangent while writing. The Final Title Effective titles in academic research papers have several characteristics.

• Indicate accurately the subject and scope of the study.
• Avoid using abbreviations.
• Use words that create a positive impression and stimulate reader interest.
• Use current nomenclature from the field of study.
• Identify key variables, both dependent and independent.
• May reveal how the paper will be organized.
• Suggest a relationship between variables which supports the major hypothesis.
• Is limited to 10 to 15 substantive words.
• Do not include "study of," "analysis of" or similar constructions.
• Titles are usually in the form of a phrase, but can also be in the form of a question.
• Use correct grammar and capitalization with all first words and last words capitalized, including the first word of a subtitle. All nouns,  pronouns, verbs, adjectives, and adverbs that appear between the first and last words of the title are also capitalized.
• In academic papers, rarely is a title followed by an exclamation mark. However, a title or subtitle can be in the form of a question.

The Subtitle Subtitles are quite common in social science research papers. Examples of why you may include a subtitle:

• Explains or provides additional context , e.g., "Linguistic Ethnography and the Study of Welfare Institutions as a Flow of Social Practices: The Case of Residential Child Care Institutions as Paradoxical Institutions."
• Adds substance to a literary, provocative, or imaginative title , e.g., "Listen to What I Say, Not How I Vote: Congressional Support for the President in Washington and at Home."
• Qualifies the geographic scope of the research , e.g., "The Geopolitics of the Eastern Border of the European Union: The Case of Romania-Moldova-Ukraine."
• Qualifies the temporal scope of the research , e.g., "A Comparison of the Progressive Era and the Depression Years: Societal Influences on Predictions of the Future of the Library, 1895-1940."
• Focuses on investigating the ideas, theories, or work of a particular individual , e.g., "A Deliberative Conception of Politics: How Francesco Saverio Merlino Related Anarchy and Democracy."

Balch, Tucker. How to Compose a Title for Your Research Paper . Augmented Trader blog. School of Interactive Computing, Georgia Tech University;  Choosing the Proper Research Paper Titles . AplusReports.com, 2007-2012; General Format. The Writing Lab and The OWL. Purdue University.

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• Next: Making an Outline >>
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Free Research Title Generator

Looking for a creative and catchy title for a research proposal, thesis, dissertation, essay, or other project? Try our research title maker! It is free, easy to use, and 100% online.

Welcome to our free online research title generator. You can get your title in 3 simple steps:

• Type your search term and choose one or more subjects from the list,
• Click on the “Search topic” button and choose among the ideas that the title generator has proposed,
• Refresh the list by clicking the button one more time if you need more options.

Please try again with some different keywords or subjects.

• ️✅ Research Title Generator: 4 Benefits
• ️👣 Making a Research Title in 3 Steps
• ️🔗 References

Creating a topic for the research is one of the most significant events in a researcher’s life. Whether it is a thesis, dissertation, research proposal , or term paper, all of these assignments are time-consuming and require a lot of effort.

It is essential to choose a topic that you like and are genuinely interested in because you will spend a lot of time working on it. Our research title generator can help you with this crucial task. By delegating this work to our research title maker, you can find the best title for your research.

✅ Research Title Generator: 4 Benefits

There are many different research title makers online, so what makes our thesis title generator stand out?

👣 How to Make a Research Title: 3 Simple Steps

Research can be the most stressful period in a student’s life. However, creating a title is not as hard as it may seem. You can choose a topic for your paper in three simple steps.

Step 1: Brainstorm

The first step to take before getting into your research is to brainstorm . To choose a good topic, you can do the following:

• Think of all your interests related to your field of study. What is the reason you've chosen this field? Think of the topics of your area that you like reading about in your free time.
• Go through your past papers and choose the ones you enjoyed writing. You can use some lingering issues from your previous work as a starting point for your research.
• Go through current events in your field to get an idea of what is going on. Whether you are writing a literary analysis , gender studies research, or any other kind of paper, you can always find tons of articles related to your field online. You can go through them to see what issue is getting more attention.
• Try to find any gaps in current researches in your field. Use only credible sources while searching. Try to add something new to your field with your research. However, do not choose a completely new issue.
• Discuss what topic is suitable for you with your professors. Professor knows a lot of information about current and previous researches, so try to discuss it with them.
• Discuss lingering issues with your classmates. Try to ask what questions do they have about your field.
• Think of your desired future work . Your research might serve as a starting point for your future career, so think of your desired job.
• Write down 5-10 topics that you might be interested in. Ph.D. or Master’s research should be specific, so write down all the appropriate topics that you came up with.

Step 2: Narrow It Down

As you are done brainstorming, you have a list of possible research topics. Now, it is time to narrow your list down.

Go through your list again and eliminate the topics that have already been well-researched before. Remember that you need to add something new to your field of study, so choose a topic that can contribute to it. However, try not to select a topic not researched at all, as it might be difficult.

Once you get a general idea of what your research will be about, choose a research supervisor. Think of a professor who is an expert in your desired area of research. Talk to them and tell them the reason why you want to work with them and why you chose this area of study.

As you eliminated some irrelevant topics and shortened your list to 1-3 topics, you can discuss them with your supervisor. Since your supervisor has a better insight into your field of study, they can recommend a topic that can be most suitable for you. Make sure to elaborate on each topic and the reason you chose it.

Step 3: Formulate a Research Question

The next step is to create a research question. This is probably the most important part of the process. Later you'll turn your research question into a thesis statement .

Learn as many materials as you can to figure out the type of questions you can ask for your research. Make use of any articles, journals, libraries, etc. Write notes as you learn, and highlight the essential parts.

First, make any questions you can think of. Choose the ones that you have an interest in and try to rewrite them. As you rewrite them, you can get a different perspective on each of the questions. An example of the potential question:

How did the economic situation in the 19th century affect literature?

Think of a question that you can answer and research best. To do it, think of the most convenient research process and available materials that you have access to. Do you need to do lab testing, quantitative analysis, or any kind of experiment? What skills do you have that can be useful?

Discuss the question that you came up with your supervisor. Get their feedback as they might have their own opinion on that topic and give you creative advice.

❓ Research Title Maker FAQ

❓ how to make a research title.

To make a research title:

• Brainstorm your field of study first.
• Think of the topics that you are interested in.
• Research current events in your study area and discuss your possible topics with your professors and classmates.
• Avoid random topics that are not well-researched.

❓ What is a working title for a research paper?

To make a good research paper title, analyze your area of study and all the related current events. Discuss your possible topics with your classmates and professors to get their opinion on them. You can also use our research title maker for free.

❓ What is the title page of a research paper?

The title page of the research paper is the first paper of your work. It includes your name, research type, and other essential information about your research.

❓ How to title a research proposal?

The research proposal title should be clear enough to showcase your research. Think of a statement that best describes your work and try to create a title that reflects it.

🔗 References

• Research Topics | Frontiers
• Organizing Your Social Sciences Research Paper
• Strategies for Selecting a Research Topic - ResearchGate
• The First Steps: Choosing a Topic and a Thesis Supervisor
• How to Pick a Masters Thesis Topic | by Peter Campbell

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Home » Research Paper – Structure, Examples and Writing Guide

Research Paper – Structure, Examples and Writing Guide

Table of Contents

Research Paper

Definition:

Research Paper is a written document that presents the author’s original research, analysis, and interpretation of a specific topic or issue.

It is typically based on Empirical Evidence, and may involve qualitative or quantitative research methods, or a combination of both. The purpose of a research paper is to contribute new knowledge or insights to a particular field of study, and to demonstrate the author’s understanding of the existing literature and theories related to the topic.

Structure of Research Paper

The structure of a research paper typically follows a standard format, consisting of several sections that convey specific information about the research study. The following is a detailed explanation of the structure of a research paper:

The title page contains the title of the paper, the name(s) of the author(s), and the affiliation(s) of the author(s). It also includes the date of submission and possibly, the name of the journal or conference where the paper is to be published.

The abstract is a brief summary of the research paper, typically ranging from 100 to 250 words. It should include the research question, the methods used, the key findings, and the implications of the results. The abstract should be written in a concise and clear manner to allow readers to quickly grasp the essence of the research.

Introduction

The introduction section of a research paper provides background information about the research problem, the research question, and the research objectives. It also outlines the significance of the research, the research gap that it aims to fill, and the approach taken to address the research question. Finally, the introduction section ends with a clear statement of the research hypothesis or research question.

Literature Review

The literature review section of a research paper provides an overview of the existing literature on the topic of study. It includes a critical analysis and synthesis of the literature, highlighting the key concepts, themes, and debates. The literature review should also demonstrate the research gap and how the current study seeks to address it.

The methods section of a research paper describes the research design, the sample selection, the data collection and analysis procedures, and the statistical methods used to analyze the data. This section should provide sufficient detail for other researchers to replicate the study.

The results section presents the findings of the research, using tables, graphs, and figures to illustrate the data. The findings should be presented in a clear and concise manner, with reference to the research question and hypothesis.

The discussion section of a research paper interprets the findings and discusses their implications for the research question, the literature review, and the field of study. It should also address the limitations of the study and suggest future research directions.

The conclusion section summarizes the main findings of the study, restates the research question and hypothesis, and provides a final reflection on the significance of the research.

The references section provides a list of all the sources cited in the paper, following a specific citation style such as APA, MLA or Chicago.

How to Write Research Paper

You can write Research Paper by the following guide:

• Choose a Topic: The first step is to select a topic that interests you and is relevant to your field of study. Brainstorm ideas and narrow down to a research question that is specific and researchable.
• Conduct a Literature Review: The literature review helps you identify the gap in the existing research and provides a basis for your research question. It also helps you to develop a theoretical framework and research hypothesis.
• Develop a Thesis Statement : The thesis statement is the main argument of your research paper. It should be clear, concise and specific to your research question.
• Plan your Research: Develop a research plan that outlines the methods, data sources, and data analysis procedures. This will help you to collect and analyze data effectively.
• Collect and Analyze Data: Collect data using various methods such as surveys, interviews, observations, or experiments. Analyze data using statistical tools or other qualitative methods.
• Organize your Paper : Organize your paper into sections such as Introduction, Literature Review, Methods, Results, Discussion, and Conclusion. Ensure that each section is coherent and follows a logical flow.
• Write your Paper : Start by writing the introduction, followed by the literature review, methods, results, discussion, and conclusion. Ensure that your writing is clear, concise, and follows the required formatting and citation styles.
• Edit and Proofread your Paper: Review your paper for grammar and spelling errors, and ensure that it is well-structured and easy to read. Ask someone else to review your paper to get feedback and suggestions for improvement.
• Cite your Sources: Ensure that you properly cite all sources used in your research paper. This is essential for giving credit to the original authors and avoiding plagiarism.

Research Paper Example

Note : The below example research paper is for illustrative purposes only and is not an actual research paper. Actual research papers may have different structures, contents, and formats depending on the field of study, research question, data collection and analysis methods, and other factors. Students should always consult with their professors or supervisors for specific guidelines and expectations for their research papers.

Research Paper Example sample for Students:

Title: The Impact of Social Media on Mental Health among Young Adults

Abstract: This study aims to investigate the impact of social media use on the mental health of young adults. A literature review was conducted to examine the existing research on the topic. A survey was then administered to 200 university students to collect data on their social media use, mental health status, and perceived impact of social media on their mental health. The results showed that social media use is positively associated with depression, anxiety, and stress. The study also found that social comparison, cyberbullying, and FOMO (Fear of Missing Out) are significant predictors of mental health problems among young adults.

Introduction: Social media has become an integral part of modern life, particularly among young adults. While social media has many benefits, including increased communication and social connectivity, it has also been associated with negative outcomes, such as addiction, cyberbullying, and mental health problems. This study aims to investigate the impact of social media use on the mental health of young adults.

Literature Review: The literature review highlights the existing research on the impact of social media use on mental health. The review shows that social media use is associated with depression, anxiety, stress, and other mental health problems. The review also identifies the factors that contribute to the negative impact of social media, including social comparison, cyberbullying, and FOMO.

Methods : A survey was administered to 200 university students to collect data on their social media use, mental health status, and perceived impact of social media on their mental health. The survey included questions on social media use, mental health status (measured using the DASS-21), and perceived impact of social media on their mental health. Data were analyzed using descriptive statistics and regression analysis.

Results : The results showed that social media use is positively associated with depression, anxiety, and stress. The study also found that social comparison, cyberbullying, and FOMO are significant predictors of mental health problems among young adults.

Discussion : The study’s findings suggest that social media use has a negative impact on the mental health of young adults. The study highlights the need for interventions that address the factors contributing to the negative impact of social media, such as social comparison, cyberbullying, and FOMO.

Conclusion : In conclusion, social media use has a significant impact on the mental health of young adults. The study’s findings underscore the need for interventions that promote healthy social media use and address the negative outcomes associated with social media use. Future research can explore the effectiveness of interventions aimed at reducing the negative impact of social media on mental health. Additionally, longitudinal studies can investigate the long-term effects of social media use on mental health.

Limitations : The study has some limitations, including the use of self-report measures and a cross-sectional design. The use of self-report measures may result in biased responses, and a cross-sectional design limits the ability to establish causality.

Implications: The study’s findings have implications for mental health professionals, educators, and policymakers. Mental health professionals can use the findings to develop interventions that address the negative impact of social media use on mental health. Educators can incorporate social media literacy into their curriculum to promote healthy social media use among young adults. Policymakers can use the findings to develop policies that protect young adults from the negative outcomes associated with social media use.

References :

• Twenge, J. M., & Campbell, W. K. (2019). Associations between screen time and lower psychological well-being among children and adolescents: Evidence from a population-based study. Preventive medicine reports, 15, 100918.
• Primack, B. A., Shensa, A., Escobar-Viera, C. G., Barrett, E. L., Sidani, J. E., Colditz, J. B., … & James, A. E. (2017). Use of multiple social media platforms and symptoms of depression and anxiety: A nationally-representative study among US young adults. Computers in Human Behavior, 69, 1-9.
• Van der Meer, T. G., & Verhoeven, J. W. (2017). Social media and its impact on academic performance of students. Journal of Information Technology Education: Research, 16, 383-398.

Appendix : The survey used in this study is provided below.

Social Media and Mental Health Survey

• How often do you use social media per day?
• Less than 30 minutes
• 30 minutes to 1 hour
• 1 to 2 hours
• 2 to 4 hours
• More than 4 hours
• Which social media platforms do you use?
• Others (Please specify)
• How often do you experience the following on social media?
• Social comparison (comparing yourself to others)
• Cyberbullying
• Fear of Missing Out (FOMO)
• Have you ever experienced any of the following mental health problems in the past month?
• Do you think social media use has a positive or negative impact on your mental health?
• Very positive
• Somewhat positive
• Somewhat negative
• Very negative
• In your opinion, which factors contribute to the negative impact of social media on mental health?
• Social comparison
• In your opinion, what interventions could be effective in reducing the negative impact of social media on mental health?
• Education on healthy social media use
• Counseling for mental health problems caused by social media
• Social media detox programs
• Regulation of social media use

Thank you for your participation!

Applications of Research Paper

Research papers have several applications in various fields, including:

• Advancing knowledge: Research papers contribute to the advancement of knowledge by generating new insights, theories, and findings that can inform future research and practice. They help to answer important questions, clarify existing knowledge, and identify areas that require further investigation.
• Informing policy: Research papers can inform policy decisions by providing evidence-based recommendations for policymakers. They can help to identify gaps in current policies, evaluate the effectiveness of interventions, and inform the development of new policies and regulations.
• Improving practice: Research papers can improve practice by providing evidence-based guidance for professionals in various fields, including medicine, education, business, and psychology. They can inform the development of best practices, guidelines, and standards of care that can improve outcomes for individuals and organizations.
• Educating students : Research papers are often used as teaching tools in universities and colleges to educate students about research methods, data analysis, and academic writing. They help students to develop critical thinking skills, research skills, and communication skills that are essential for success in many careers.
• Fostering collaboration: Research papers can foster collaboration among researchers, practitioners, and policymakers by providing a platform for sharing knowledge and ideas. They can facilitate interdisciplinary collaborations and partnerships that can lead to innovative solutions to complex problems.

When to Write Research Paper

Research papers are typically written when a person has completed a research project or when they have conducted a study and have obtained data or findings that they want to share with the academic or professional community. Research papers are usually written in academic settings, such as universities, but they can also be written in professional settings, such as research organizations, government agencies, or private companies.

Here are some common situations where a person might need to write a research paper:

• For academic purposes: Students in universities and colleges are often required to write research papers as part of their coursework, particularly in the social sciences, natural sciences, and humanities. Writing research papers helps students to develop research skills, critical thinking skills, and academic writing skills.
• For publication: Researchers often write research papers to publish their findings in academic journals or to present their work at academic conferences. Publishing research papers is an important way to disseminate research findings to the academic community and to establish oneself as an expert in a particular field.
• To inform policy or practice : Researchers may write research papers to inform policy decisions or to improve practice in various fields. Research findings can be used to inform the development of policies, guidelines, and best practices that can improve outcomes for individuals and organizations.
• To share new insights or ideas: Researchers may write research papers to share new insights or ideas with the academic or professional community. They may present new theories, propose new research methods, or challenge existing paradigms in their field.

Purpose of Research Paper

The purpose of a research paper is to present the results of a study or investigation in a clear, concise, and structured manner. Research papers are written to communicate new knowledge, ideas, or findings to a specific audience, such as researchers, scholars, practitioners, or policymakers. The primary purposes of a research paper are:

• To contribute to the body of knowledge : Research papers aim to add new knowledge or insights to a particular field or discipline. They do this by reporting the results of empirical studies, reviewing and synthesizing existing literature, proposing new theories, or providing new perspectives on a topic.
• To inform or persuade: Research papers are written to inform or persuade the reader about a particular issue, topic, or phenomenon. They present evidence and arguments to support their claims and seek to persuade the reader of the validity of their findings or recommendations.
• To advance the field: Research papers seek to advance the field or discipline by identifying gaps in knowledge, proposing new research questions or approaches, or challenging existing assumptions or paradigms. They aim to contribute to ongoing debates and discussions within a field and to stimulate further research and inquiry.
• To demonstrate research skills: Research papers demonstrate the author’s research skills, including their ability to design and conduct a study, collect and analyze data, and interpret and communicate findings. They also demonstrate the author’s ability to critically evaluate existing literature, synthesize information from multiple sources, and write in a clear and structured manner.

Characteristics of Research Paper

Research papers have several characteristics that distinguish them from other forms of academic or professional writing. Here are some common characteristics of research papers:

• Evidence-based: Research papers are based on empirical evidence, which is collected through rigorous research methods such as experiments, surveys, observations, or interviews. They rely on objective data and facts to support their claims and conclusions.
• Structured and organized: Research papers have a clear and logical structure, with sections such as introduction, literature review, methods, results, discussion, and conclusion. They are organized in a way that helps the reader to follow the argument and understand the findings.
• Formal and objective: Research papers are written in a formal and objective tone, with an emphasis on clarity, precision, and accuracy. They avoid subjective language or personal opinions and instead rely on objective data and analysis to support their arguments.
• Citations and references: Research papers include citations and references to acknowledge the sources of information and ideas used in the paper. They use a specific citation style, such as APA, MLA, or Chicago, to ensure consistency and accuracy.
• Peer-reviewed: Research papers are often peer-reviewed, which means they are evaluated by other experts in the field before they are published. Peer-review ensures that the research is of high quality, meets ethical standards, and contributes to the advancement of knowledge in the field.
• Objective and unbiased: Research papers strive to be objective and unbiased in their presentation of the findings. They avoid personal biases or preconceptions and instead rely on the data and analysis to draw conclusions.

Advantages of Research Paper

Research papers have many advantages, both for the individual researcher and for the broader academic and professional community. Here are some advantages of research papers:

• Contribution to knowledge: Research papers contribute to the body of knowledge in a particular field or discipline. They add new information, insights, and perspectives to existing literature and help advance the understanding of a particular phenomenon or issue.
• Opportunity for intellectual growth: Research papers provide an opportunity for intellectual growth for the researcher. They require critical thinking, problem-solving, and creativity, which can help develop the researcher’s skills and knowledge.
• Career advancement: Research papers can help advance the researcher’s career by demonstrating their expertise and contributions to the field. They can also lead to new research opportunities, collaborations, and funding.
• Academic recognition: Research papers can lead to academic recognition in the form of awards, grants, or invitations to speak at conferences or events. They can also contribute to the researcher’s reputation and standing in the field.
• Impact on policy and practice: Research papers can have a significant impact on policy and practice. They can inform policy decisions, guide practice, and lead to changes in laws, regulations, or procedures.
• Advancement of society: Research papers can contribute to the advancement of society by addressing important issues, identifying solutions to problems, and promoting social justice and equality.

Limitations of Research Paper

Research papers also have some limitations that should be considered when interpreting their findings or implications. Here are some common limitations of research papers:

• Limited generalizability: Research findings may not be generalizable to other populations, settings, or contexts. Studies often use specific samples or conditions that may not reflect the broader population or real-world situations.
• Potential for bias : Research papers may be biased due to factors such as sample selection, measurement errors, or researcher biases. It is important to evaluate the quality of the research design and methods used to ensure that the findings are valid and reliable.
• Ethical concerns: Research papers may raise ethical concerns, such as the use of vulnerable populations or invasive procedures. Researchers must adhere to ethical guidelines and obtain informed consent from participants to ensure that the research is conducted in a responsible and respectful manner.
• Limitations of methodology: Research papers may be limited by the methodology used to collect and analyze data. For example, certain research methods may not capture the complexity or nuance of a particular phenomenon, or may not be appropriate for certain research questions.
• Publication bias: Research papers may be subject to publication bias, where positive or significant findings are more likely to be published than negative or non-significant findings. This can skew the overall findings of a particular area of research.
• Time and resource constraints: Research papers may be limited by time and resource constraints, which can affect the quality and scope of the research. Researchers may not have access to certain data or resources, or may be unable to conduct long-term studies due to practical limitations.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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• Open access
• Published: 17 April 2024

The economic commitment of climate change

• Maximilian Kotz   ORCID: orcid.org/0000-0003-2564-5043 1 , 2 ,
• Anders Levermann   ORCID: orcid.org/0000-0003-4432-4704 1 , 2 &
• Leonie Wenz   ORCID: orcid.org/0000-0002-8500-1568 1 , 3  

Nature volume  628 ,  pages 551–557 ( 2024 ) Cite this article

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• Environmental economics
• Environmental health
• Interdisciplinary studies
• Projection and prediction

Global projections of macroeconomic climate-change damages typically consider impacts from average annual and national temperatures over long time horizons 1 , 2 , 3 , 4 , 5 , 6 . Here we use recent empirical findings from more than 1,600 regions worldwide over the past 40 years to project sub-national damages from temperature and precipitation, including daily variability and extremes 7 , 8 . Using an empirical approach that provides a robust lower bound on the persistence of impacts on economic growth, we find that the world economy is committed to an income reduction of 19% within the next 26 years independent of future emission choices (relative to a baseline without climate impacts, likely range of 11–29% accounting for physical climate and empirical uncertainty). These damages already outweigh the mitigation costs required to limit global warming to 2 °C by sixfold over this near-term time frame and thereafter diverge strongly dependent on emission choices. Committed damages arise predominantly through changes in average temperature, but accounting for further climatic components raises estimates by approximately 50% and leads to stronger regional heterogeneity. Committed losses are projected for all regions except those at very high latitudes, at which reductions in temperature variability bring benefits. The largest losses are committed at lower latitudes in regions with lower cumulative historical emissions and lower present-day income.

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Paul Waidelich, Fulden Batibeniz, … Sonia I. Seneviratne

Investment incentive reduced by climate damages can be restored by optimal policy

Sven N. Willner, Nicole Glanemann & Anders Levermann

Climate economics support for the UN climate targets

Martin C. Hänsel, Moritz A. Drupp, … Thomas Sterner

Projections of the macroeconomic damage caused by future climate change are crucial to informing public and policy debates about adaptation, mitigation and climate justice. On the one hand, adaptation against climate impacts must be justified and planned on the basis of an understanding of their future magnitude and spatial distribution 9 . This is also of importance in the context of climate justice 10 , as well as to key societal actors, including governments, central banks and private businesses, which increasingly require the inclusion of climate risks in their macroeconomic forecasts to aid adaptive decision-making 11 , 12 . On the other hand, climate mitigation policy such as the Paris Climate Agreement is often evaluated by balancing the costs of its implementation against the benefits of avoiding projected physical damages. This evaluation occurs both formally through cost–benefit analyses 1 , 4 , 5 , 6 , as well as informally through public perception of mitigation and damage costs 13 .

Projections of future damages meet challenges when informing these debates, in particular the human biases relating to uncertainty and remoteness that are raised by long-term perspectives 14 . Here we aim to overcome such challenges by assessing the extent of economic damages from climate change to which the world is already committed by historical emissions and socio-economic inertia (the range of future emission scenarios that are considered socio-economically plausible 15 ). Such a focus on the near term limits the large uncertainties about diverging future emission trajectories, the resulting long-term climate response and the validity of applying historically observed climate–economic relations over long timescales during which socio-technical conditions may change considerably. As such, this focus aims to simplify the communication and maximize the credibility of projected economic damages from future climate change.

In projecting the future economic damages from climate change, we make use of recent advances in climate econometrics that provide evidence for impacts on sub-national economic growth from numerous components of the distribution of daily temperature and precipitation 3 , 7 , 8 . Using fixed-effects panel regression models to control for potential confounders, these studies exploit within-region variation in local temperature and precipitation in a panel of more than 1,600 regions worldwide, comprising climate and income data over the past 40 years, to identify the plausibly causal effects of changes in several climate variables on economic productivity 16 , 17 . Specifically, macroeconomic impacts have been identified from changing daily temperature variability, total annual precipitation, the annual number of wet days and extreme daily rainfall that occur in addition to those already identified from changing average temperature 2 , 3 , 18 . Moreover, regional heterogeneity in these effects based on the prevailing local climatic conditions has been found using interactions terms. The selection of these climate variables follows micro-level evidence for mechanisms related to the impacts of average temperatures on labour and agricultural productivity 2 , of temperature variability on agricultural productivity and health 7 , as well as of precipitation on agricultural productivity, labour outcomes and flood damages 8 (see Extended Data Table 1 for an overview, including more detailed references). References  7 , 8 contain a more detailed motivation for the use of these particular climate variables and provide extensive empirical tests about the robustness and nature of their effects on economic output, which are summarized in Methods . By accounting for these extra climatic variables at the sub-national level, we aim for a more comprehensive description of climate impacts with greater detail across both time and space.

Constraining the persistence of impacts

A key determinant and source of discrepancy in estimates of the magnitude of future climate damages is the extent to which the impact of a climate variable on economic growth rates persists. The two extreme cases in which these impacts persist indefinitely or only instantaneously are commonly referred to as growth or level effects 19 , 20 (see Methods section ‘Empirical model specification: fixed-effects distributed lag models’ for mathematical definitions). Recent work shows that future damages from climate change depend strongly on whether growth or level effects are assumed 20 . Following refs.  2 , 18 , we provide constraints on this persistence by using distributed lag models to test the significance of delayed effects separately for each climate variable. Notably, and in contrast to refs.  2 , 18 , we use climate variables in their first-differenced form following ref.  3 , implying a dependence of the growth rate on a change in climate variables. This choice means that a baseline specification without any lags constitutes a model prior of purely level effects, in which a permanent change in the climate has only an instantaneous effect on the growth rate 3 , 19 , 21 . By including lags, one can then test whether any effects may persist further. This is in contrast to the specification used by refs.  2 , 18 , in which climate variables are used without taking the first difference, implying a dependence of the growth rate on the level of climate variables. In this alternative case, the baseline specification without any lags constitutes a model prior of pure growth effects, in which a change in climate has an infinitely persistent effect on the growth rate. Consequently, including further lags in this alternative case tests whether the initial growth impact is recovered 18 , 19 , 21 . Both of these specifications suffer from the limiting possibility that, if too few lags are included, one might falsely accept the model prior. The limitations of including a very large number of lags, including loss of data and increasing statistical uncertainty with an increasing number of parameters, mean that such a possibility is likely. By choosing a specification in which the model prior is one of level effects, our approach is therefore conservative by design, avoiding assumptions of infinite persistence of climate impacts on growth and instead providing a lower bound on this persistence based on what is observable empirically (see Methods section ‘Empirical model specification: fixed-effects distributed lag models’ for further exposition of this framework). The conservative nature of such a choice is probably the reason that ref.  19 finds much greater consistency between the impacts projected by models that use the first difference of climate variables, as opposed to their levels.

We begin our empirical analysis of the persistence of climate impacts on growth using ten lags of the first-differenced climate variables in fixed-effects distributed lag models. We detect substantial effects on economic growth at time lags of up to approximately 8–10 years for the temperature terms and up to approximately 4 years for the precipitation terms (Extended Data Fig. 1 and Extended Data Table 2 ). Furthermore, evaluation by means of information criteria indicates that the inclusion of all five climate variables and the use of these numbers of lags provide a preferable trade-off between best-fitting the data and including further terms that could cause overfitting, in comparison with model specifications excluding climate variables or including more or fewer lags (Extended Data Fig. 3 , Supplementary Methods Section  1 and Supplementary Table 1 ). We therefore remove statistically insignificant terms at later lags (Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ). Further tests using Monte Carlo simulations demonstrate that the empirical models are robust to autocorrelation in the lagged climate variables (Supplementary Methods Section  2 and Supplementary Figs. 4 and 5 ), that information criteria provide an effective indicator for lag selection (Supplementary Methods Section  2 and Supplementary Fig. 6 ), that the results are robust to concerns of imperfect multicollinearity between climate variables and that including several climate variables is actually necessary to isolate their separate effects (Supplementary Methods Section  3 and Supplementary Fig. 7 ). We provide a further robustness check using a restricted distributed lag model to limit oscillations in the lagged parameter estimates that may result from autocorrelation, finding that it provides similar estimates of cumulative marginal effects to the unrestricted model (Supplementary Methods Section 4 and Supplementary Figs. 8 and 9 ). Finally, to explicitly account for any outstanding uncertainty arising from the precise choice of the number of lags, we include empirical models with marginally different numbers of lags in the error-sampling procedure of our projection of future damages. On the basis of the lag-selection procedure (the significance of lagged terms in Extended Data Fig. 1 and Extended Data Table 2 , as well as information criteria in Extended Data Fig. 3 ), we sample from models with eight to ten lags for temperature and four for precipitation (models shown in Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ). In summary, this empirical approach to constrain the persistence of climate impacts on economic growth rates is conservative by design in avoiding assumptions of infinite persistence, but nevertheless provides a lower bound on the extent of impact persistence that is robust to the numerous tests outlined above.

Committed damages until mid-century

We combine these empirical economic response functions (Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ) with an ensemble of 21 climate models (see Supplementary Table 5 ) from the Coupled Model Intercomparison Project Phase 6 (CMIP-6) 22 to project the macroeconomic damages from these components of physical climate change (see Methods for further details). Bias-adjusted climate models that provide a highly accurate reproduction of observed climatological patterns with limited uncertainty (Supplementary Table 6 ) are used to avoid introducing biases in the projections. Following a well-developed literature 2 , 3 , 19 , these projections do not aim to provide a prediction of future economic growth. Instead, they are a projection of the exogenous impact of future climate conditions on the economy relative to the baselines specified by socio-economic projections, based on the plausibly causal relationships inferred by the empirical models and assuming ceteris paribus. Other exogenous factors relevant for the prediction of economic output are purposefully assumed constant.

A Monte Carlo procedure that samples from climate model projections, empirical models with different numbers of lags and model parameter estimates (obtained by 1,000 block-bootstrap resamples of each of the regressions in Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ) is used to estimate the combined uncertainty from these sources. Given these uncertainty distributions, we find that projected global damages are statistically indistinguishable across the two most extreme emission scenarios until 2049 (at the 5% significance level; Fig. 1 ). As such, the climate damages occurring before this time constitute those to which the world is already committed owing to the combination of past emissions and the range of future emission scenarios that are considered socio-economically plausible 15 . These committed damages comprise a permanent income reduction of 19% on average globally (population-weighted average) in comparison with a baseline without climate-change impacts (with a likely range of 11–29%, following the likelihood classification adopted by the Intergovernmental Panel on Climate Change (IPCC); see caption of Fig. 1 ). Even though levels of income per capita generally still increase relative to those of today, this constitutes a permanent income reduction for most regions, including North America and Europe (each with median income reductions of approximately 11%) and with South Asia and Africa being the most strongly affected (each with median income reductions of approximately 22%; Fig. 1 ). Under a middle-of-the road scenario of future income development (SSP2, in which SSP stands for Shared Socio-economic Pathway), this corresponds to global annual damages in 2049 of 38 trillion in 2005 international dollars (likely range of 19–59 trillion 2005 international dollars). Compared with empirical specifications that assume pure growth or pure level effects, our preferred specification that provides a robust lower bound on the extent of climate impact persistence produces damages between these two extreme assumptions (Extended Data Fig. 3 ).

Estimates of the projected reduction in income per capita from changes in all climate variables based on empirical models of climate impacts on economic output with a robust lower bound on their persistence (Extended Data Fig. 1 ) under a low-emission scenario compatible with the 2 °C warming target and a high-emission scenario (SSP2-RCP2.6 and SSP5-RCP8.5, respectively) are shown in purple and orange, respectively. Shading represents the 34% and 10% confidence intervals reflecting the likely and very likely ranges, respectively (following the likelihood classification adopted by the IPCC), having estimated uncertainty from a Monte Carlo procedure, which samples the uncertainty from the choice of physical climate models, empirical models with different numbers of lags and bootstrapped estimates of the regression parameters shown in Supplementary Figs. 1 – 3 . Vertical dashed lines show the time at which the climate damages of the two emission scenarios diverge at the 5% and 1% significance levels based on the distribution of differences between emission scenarios arising from the uncertainty sampling discussed above. Note that uncertainty in the difference of the two scenarios is smaller than the combined uncertainty of the two respective scenarios because samples of the uncertainty (climate model and empirical model choice, as well as model parameter bootstrap) are consistent across the two emission scenarios, hence the divergence of damages occurs while the uncertainty bounds of the two separate damage scenarios still overlap. Estimates of global mitigation costs from the three IAMs that provide results for the SSP2 baseline and SSP2-RCP2.6 scenario are shown in light green in the top panel, with the median of these estimates shown in bold.

Damages already outweigh mitigation costs

We compare the damages to which the world is committed over the next 25 years to estimates of the mitigation costs required to achieve the Paris Climate Agreement. Taking estimates of mitigation costs from the three integrated assessment models (IAMs) in the IPCC AR6 database 23 that provide results under comparable scenarios (SSP2 baseline and SSP2-RCP2.6, in which RCP stands for Representative Concentration Pathway), we find that the median committed climate damages are larger than the median mitigation costs in 2050 (six trillion in 2005 international dollars) by a factor of approximately six (note that estimates of mitigation costs are only provided every 10 years by the IAMs and so a comparison in 2049 is not possible). This comparison simply aims to compare the magnitude of future damages against mitigation costs, rather than to conduct a formal cost–benefit analysis of transitioning from one emission path to another. Formal cost–benefit analyses typically find that the net benefits of mitigation only emerge after 2050 (ref.  5 ), which may lead some to conclude that physical damages from climate change are simply not large enough to outweigh mitigation costs until the second half of the century. Our simple comparison of their magnitudes makes clear that damages are actually already considerably larger than mitigation costs and the delayed emergence of net mitigation benefits results primarily from the fact that damages across different emission paths are indistinguishable until mid-century (Fig. 1 ).

Although these near-term damages constitute those to which the world is already committed, we note that damage estimates diverge strongly across emission scenarios after 2049, conveying the clear benefits of mitigation from a purely economic point of view that have been emphasized in previous studies 4 , 24 . As well as the uncertainties assessed in Fig. 1 , these conclusions are robust to structural choices, such as the timescale with which changes in the moderating variables of the empirical models are estimated (Supplementary Figs. 10 and 11 ), as well as the order in which one accounts for the intertemporal and international components of currency comparison (Supplementary Fig. 12 ; see Methods for further details).

Damages from variability and extremes

Committed damages primarily arise through changes in average temperature (Fig. 2 ). This reflects the fact that projected changes in average temperature are larger than those in other climate variables when expressed as a function of their historical interannual variability (Extended Data Fig. 4 ). Because the historical variability is that on which the empirical models are estimated, larger projected changes in comparison with this variability probably lead to larger future impacts in a purely statistical sense. From a mechanistic perspective, one may plausibly interpret this result as implying that future changes in average temperature are the most unprecedented from the perspective of the historical fluctuations to which the economy is accustomed and therefore will cause the most damage. This insight may prove useful in terms of guiding adaptation measures to the sources of greatest damage.

Estimates of the median projected reduction in sub-national income per capita across emission scenarios (SSP2-RCP2.6 and SSP2-RCP8.5) as well as climate model, empirical model and model parameter uncertainty in the year in which climate damages diverge at the 5% level (2049, as identified in Fig. 1 ). a , Impacts arising from all climate variables. b – f , Impacts arising separately from changes in annual mean temperature ( b ), daily temperature variability ( c ), total annual precipitation ( d ), the annual number of wet days (>1 mm) ( e ) and extreme daily rainfall ( f ) (see Methods for further definitions). Data on national administrative boundaries are obtained from the GADM database version 3.6 and are freely available for academic use ( https://gadm.org/ ).

Nevertheless, future damages based on empirical models that consider changes in annual average temperature only and exclude the other climate variables constitute income reductions of only 13% in 2049 (Extended Data Fig. 5a , likely range 5–21%). This suggests that accounting for the other components of the distribution of temperature and precipitation raises net damages by nearly 50%. This increase arises through the further damages that these climatic components cause, but also because their inclusion reveals a stronger negative economic response to average temperatures (Extended Data Fig. 5b ). The latter finding is consistent with our Monte Carlo simulations, which suggest that the magnitude of the effect of average temperature on economic growth is underestimated unless accounting for the impacts of other correlated climate variables (Supplementary Fig. 7 ).

In terms of the relative contributions of the different climatic components to overall damages, we find that accounting for daily temperature variability causes the largest increase in overall damages relative to empirical frameworks that only consider changes in annual average temperature (4.9 percentage points, likely range 2.4–8.7 percentage points, equivalent to approximately 10 trillion international dollars). Accounting for precipitation causes smaller increases in overall damages, which are—nevertheless—equivalent to approximately 1.2 trillion international dollars: 0.01 percentage points (−0.37–0.33 percentage points), 0.34 percentage points (0.07–0.90 percentage points) and 0.36 percentage points (0.13–0.65 percentage points) from total annual precipitation, the number of wet days and extreme daily precipitation, respectively. Moreover, climate models seem to underestimate future changes in temperature variability 25 and extreme precipitation 26 , 27 in response to anthropogenic forcing as compared with that observed historically, suggesting that the true impacts from these variables may be larger.

The distribution of committed damages

The spatial distribution of committed damages (Fig. 2a ) reflects a complex interplay between the patterns of future change in several climatic components and those of historical economic vulnerability to changes in those variables. Damages resulting from increasing annual mean temperature (Fig. 2b ) are negative almost everywhere globally, and larger at lower latitudes in regions in which temperatures are already higher and economic vulnerability to temperature increases is greatest (see the response heterogeneity to mean temperature embodied in Extended Data Fig. 1a ). This occurs despite the amplified warming projected at higher latitudes 28 , suggesting that regional heterogeneity in economic vulnerability to temperature changes outweighs heterogeneity in the magnitude of future warming (Supplementary Fig. 13a ). Economic damages owing to daily temperature variability (Fig. 2c ) exhibit a strong latitudinal polarisation, primarily reflecting the physical response of daily variability to greenhouse forcing in which increases in variability across lower latitudes (and Europe) contrast decreases at high latitudes 25 (Supplementary Fig. 13b ). These two temperature terms are the dominant determinants of the pattern of overall damages (Fig. 2a ), which exhibits a strong polarity with damages across most of the globe except at the highest northern latitudes. Future changes in total annual precipitation mainly bring economic benefits except in regions of drying, such as the Mediterranean and central South America (Fig. 2d and Supplementary Fig. 13c ), but these benefits are opposed by changes in the number of wet days, which produce damages with a similar pattern of opposite sign (Fig. 2e and Supplementary Fig. 13d ). By contrast, changes in extreme daily rainfall produce damages in all regions, reflecting the intensification of daily rainfall extremes over global land areas 29 , 30 (Fig. 2f and Supplementary Fig. 13e ).

The spatial distribution of committed damages implies considerable injustice along two dimensions: culpability for the historical emissions that have caused climate change and pre-existing levels of socio-economic welfare. Spearman’s rank correlations indicate that committed damages are significantly larger in countries with smaller historical cumulative emissions, as well as in regions with lower current income per capita (Fig. 3 ). This implies that those countries that will suffer the most from the damages already committed are those that are least responsible for climate change and which also have the least resources to adapt to it.

Estimates of the median projected change in national income per capita across emission scenarios (RCP2.6 and RCP8.5) as well as climate model, empirical model and model parameter uncertainty in the year in which climate damages diverge at the 5% level (2049, as identified in Fig. 1 ) are plotted against cumulative national emissions per capita in 2020 (from the Global Carbon Project) and coloured by national income per capita in 2020 (from the World Bank) in a and vice versa in b . In each panel, the size of each scatter point is weighted by the national population in 2020 (from the World Bank). Inset numbers indicate the Spearman’s rank correlation ρ and P -values for a hypothesis test whose null hypothesis is of no correlation, as well as the Spearman’s rank correlation weighted by national population.

To further quantify this heterogeneity, we assess the difference in committed damages between the upper and lower quartiles of regions when ranked by present income levels and historical cumulative emissions (using a population weighting to both define the quartiles and estimate the group averages). On average, the quartile of countries with lower income are committed to an income loss that is 8.9 percentage points (or 61%) greater than the upper quartile (Extended Data Fig. 6 ), with a likely range of 3.8–14.7 percentage points across the uncertainty sampling of our damage projections (following the likelihood classification adopted by the IPCC). Similarly, the quartile of countries with lower historical cumulative emissions are committed to an income loss that is 6.9 percentage points (or 40%) greater than the upper quartile, with a likely range of 0.27–12 percentage points. These patterns reemphasize the prevalence of injustice in climate impacts 31 , 32 , 33 in the context of the damages to which the world is already committed by historical emissions and socio-economic inertia.

Contextualizing the magnitude of damages

The magnitude of projected economic damages exceeds previous literature estimates 2 , 3 , arising from several developments made on previous approaches. Our estimates are larger than those of ref.  2 (see first row of Extended Data Table 3 ), primarily because of the facts that sub-national estimates typically show a steeper temperature response (see also refs.  3 , 34 ) and that accounting for other climatic components raises damage estimates (Extended Data Fig. 5 ). However, we note that our empirical approach using first-differenced climate variables is conservative compared with that of ref.  2 in regard to the persistence of climate impacts on growth (see introduction and Methods section ‘Empirical model specification: fixed-effects distributed lag models’), an important determinant of the magnitude of long-term damages 19 , 21 . Using a similar empirical specification to ref.  2 , which assumes infinite persistence while maintaining the rest of our approach (sub-national data and further climate variables), produces considerably larger damages (purple curve of Extended Data Fig. 3 ). Compared with studies that do take the first difference of climate variables 3 , 35 , our estimates are also larger (see second and third rows of Extended Data Table 3 ). The inclusion of further climate variables (Extended Data Fig. 5 ) and a sufficient number of lags to more adequately capture the extent of impact persistence (Extended Data Figs. 1 and 2 ) are the main sources of this difference, as is the use of specifications that capture nonlinearities in the temperature response when compared with ref.  35 . In summary, our estimates develop on previous studies by incorporating the latest data and empirical insights 7 , 8 , as well as in providing a robust empirical lower bound on the persistence of impacts on economic growth, which constitutes a middle ground between the extremes of the growth-versus-levels debate 19 , 21 (Extended Data Fig. 3 ).

Compared with the fraction of variance explained by the empirical models historically (<5%), the projection of reductions in income of 19% may seem large. This arises owing to the fact that projected changes in climatic conditions are much larger than those that were experienced historically, particularly for changes in average temperature (Extended Data Fig. 4 ). As such, any assessment of future climate-change impacts necessarily requires an extrapolation outside the range of the historical data on which the empirical impact models were evaluated. Nevertheless, these models constitute the most state-of-the-art methods for inference of plausibly causal climate impacts based on observed data. Moreover, we take explicit steps to limit out-of-sample extrapolation by capping the moderating variables of the interaction terms at the 95th percentile of the historical distribution (see Methods ). This avoids extrapolating the marginal effects outside what was observed historically. Given the nonlinear response of economic output to annual mean temperature (Extended Data Fig. 1 and Extended Data Table 2 ), this is a conservative choice that limits the magnitude of damages that we project. Furthermore, back-of-the-envelope calculations indicate that the projected damages are consistent with the magnitude and patterns of historical economic development (see Supplementary Discussion Section  5 ).

Missing impacts and spatial spillovers

Despite assessing several climatic components from which economic impacts have recently been identified 3 , 7 , 8 , this assessment of aggregate climate damages should not be considered comprehensive. Important channels such as impacts from heatwaves 31 , sea-level rise 36 , tropical cyclones 37 and tipping points 38 , 39 , as well as non-market damages such as those to ecosystems 40 and human health 41 , are not considered in these estimates. Sea-level rise is unlikely to be feasibly incorporated into empirical assessments such as this because historical sea-level variability is mostly small. Non-market damages are inherently intractable within our estimates of impacts on aggregate monetary output and estimates of these impacts could arguably be considered as extra to those identified here. Recent empirical work suggests that accounting for these channels would probably raise estimates of these committed damages, with larger damages continuing to arise in the global south 31 , 36 , 37 , 38 , 39 , 40 , 41 , 42 .

Moreover, our main empirical analysis does not explicitly evaluate the potential for impacts in local regions to produce effects that ‘spill over’ into other regions. Such effects may further mitigate or amplify the impacts we estimate, for example, if companies relocate production from one affected region to another or if impacts propagate along supply chains. The current literature indicates that trade plays a substantial role in propagating spillover effects 43 , 44 , making their assessment at the sub-national level challenging without available data on sub-national trade dependencies. Studies accounting for only spatially adjacent neighbours indicate that negative impacts in one region induce further negative impacts in neighbouring regions 45 , 46 , 47 , 48 , suggesting that our projected damages are probably conservative by excluding these effects. In Supplementary Fig. 14 , we assess spillovers from neighbouring regions using a spatial-lag model. For simplicity, this analysis excludes temporal lags, focusing only on contemporaneous effects. The results show that accounting for spatial spillovers can amplify the overall magnitude, and also the heterogeneity, of impacts. Consistent with previous literature, this indicates that the overall magnitude (Fig. 1 ) and heterogeneity (Fig. 3 ) of damages that we project in our main specification may be conservative without explicitly accounting for spillovers. We note that further analysis that addresses both spatially and trade-connected spillovers, while also accounting for delayed impacts using temporal lags, would be necessary to adequately address this question fully. These approaches offer fruitful avenues for further research but are beyond the scope of this manuscript, which primarily aims to explore the impacts of different climate conditions and their persistence.

Policy implications

We find that the economic damages resulting from climate change until 2049 are those to which the world economy is already committed and that these greatly outweigh the costs required to mitigate emissions in line with the 2 °C target of the Paris Climate Agreement (Fig. 1 ). This assessment is complementary to formal analyses of the net costs and benefits associated with moving from one emission path to another, which typically find that net benefits of mitigation only emerge in the second half of the century 5 . Our simple comparison of the magnitude of damages and mitigation costs makes clear that this is primarily because damages are indistinguishable across emissions scenarios—that is, committed—until mid-century (Fig. 1 ) and that they are actually already much larger than mitigation costs. For simplicity, and owing to the availability of data, we compare damages to mitigation costs at the global level. Regional estimates of mitigation costs may shed further light on the national incentives for mitigation to which our results already hint, of relevance for international climate policy. Although these damages are committed from a mitigation perspective, adaptation may provide an opportunity to reduce them. Moreover, the strong divergence of damages after mid-century reemphasizes the clear benefits of mitigation from a purely economic perspective, as highlighted in previous studies 1 , 4 , 6 , 24 .

Historical climate data

Historical daily 2-m temperature and precipitation totals (in mm) are obtained for the period 1979–2019 from the W5E5 database. The W5E5 dataset comes from ERA-5, a state-of-the-art reanalysis of historical observations, but has been bias-adjusted by applying version 2.0 of the WATCH Forcing Data to ERA-5 reanalysis data and precipitation data from version 2.3 of the Global Precipitation Climatology Project to better reflect ground-based measurements 49 , 50 , 51 . We obtain these data on a 0.5° × 0.5° grid from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) database. Notably, these historical data have been used to bias-adjust future climate projections from CMIP-6 (see the following section), ensuring consistency between the distribution of historical daily weather on which our empirical models were estimated and the climate projections used to estimate future damages. These data are publicly available from the ISIMIP database. See refs.  7 , 8 for robustness tests of the empirical models to the choice of climate data reanalysis products.

Future climate data

Daily 2-m temperature and precipitation totals (in mm) are taken from 21 climate models participating in CMIP-6 under a high (RCP8.5) and a low (RCP2.6) greenhouse gas emission scenario from 2015 to 2100. The data have been bias-adjusted and statistically downscaled to a common half-degree grid to reflect the historical distribution of daily temperature and precipitation of the W5E5 dataset using the trend-preserving method developed by the ISIMIP 50 , 52 . As such, the climate model data reproduce observed climatological patterns exceptionally well (Supplementary Table 5 ). Gridded data are publicly available from the ISIMIP database.

Historical economic data

Historical economic data come from the DOSE database of sub-national economic output 53 . We use a recent revision to the DOSE dataset that provides data across 83 countries, 1,660 sub-national regions with varying temporal coverage from 1960 to 2019. Sub-national units constitute the first administrative division below national, for example, states for the USA and provinces for China. Data come from measures of gross regional product per capita (GRPpc) or income per capita in local currencies, reflecting the values reported in national statistical agencies, yearbooks and, in some cases, academic literature. We follow previous literature 3 , 7 , 8 , 54 and assess real sub-national output per capita by first converting values from local currencies to US dollars to account for diverging national inflationary tendencies and then account for US inflation using a US deflator. Alternatively, one might first account for national inflation and then convert between currencies. Supplementary Fig. 12 demonstrates that our conclusions are consistent when accounting for price changes in the reversed order, although the magnitude of estimated damages varies. See the documentation of the DOSE dataset for further discussion of these choices. Conversions between currencies are conducted using exchange rates from the FRED database of the Federal Reserve Bank of St. Louis 55 and the national deflators from the World Bank 56 .

Future socio-economic data

Baseline gridded gross domestic product (GDP) and population data for the period 2015–2100 are taken from the middle-of-the-road scenario SSP2 (ref.  15 ). Population data have been downscaled to a half-degree grid by the ISIMIP following the methodologies of refs.  57 , 58 , which we then aggregate to the sub-national level of our economic data using the spatial aggregation procedure described below. Because current methodologies for downscaling the GDP of the SSPs use downscaled population to do so, per-capita estimates of GDP with a realistic distribution at the sub-national level are not readily available for the SSPs. We therefore use national-level GDP per capita (GDPpc) projections for all sub-national regions of a given country, assuming homogeneity within countries in terms of baseline GDPpc. Here we use projections that have been updated to account for the impact of the COVID-19 pandemic on the trajectory of future income, while remaining consistent with the long-term development of the SSPs 59 . The choice of baseline SSP alters the magnitude of projected climate damages in monetary terms, but when assessed in terms of percentage change from the baseline, the choice of socio-economic scenario is inconsequential. Gridded SSP population data and national-level GDPpc data are publicly available from the ISIMIP database. Sub-national estimates as used in this study are available in the code and data replication files.

Climate variables

Following recent literature 3 , 7 , 8 , we calculate an array of climate variables for which substantial impacts on macroeconomic output have been identified empirically, supported by further evidence at the micro level for plausible underlying mechanisms. See refs.  7 , 8 for an extensive motivation for the use of these particular climate variables and for detailed empirical tests on the nature and robustness of their effects on economic output. To summarize, these studies have found evidence for independent impacts on economic growth rates from annual average temperature, daily temperature variability, total annual precipitation, the annual number of wet days and extreme daily rainfall. Assessments of daily temperature variability were motivated by evidence of impacts on agricultural output and human health, as well as macroeconomic literature on the impacts of volatility on growth when manifest in different dimensions, such as government spending, exchange rates and even output itself 7 . Assessments of precipitation impacts were motivated by evidence of impacts on agricultural productivity, metropolitan labour outcomes and conflict, as well as damages caused by flash flooding 8 . See Extended Data Table 1 for detailed references to empirical studies of these physical mechanisms. Marked impacts of daily temperature variability, total annual precipitation, the number of wet days and extreme daily rainfall on macroeconomic output were identified robustly across different climate datasets, spatial aggregation schemes, specifications of regional time trends and error-clustering approaches. They were also found to be robust to the consideration of temperature extremes 7 , 8 . Furthermore, these climate variables were identified as having independent effects on economic output 7 , 8 , which we further explain here using Monte Carlo simulations to demonstrate the robustness of the results to concerns of imperfect multicollinearity between climate variables (Supplementary Methods Section  2 ), as well as by using information criteria (Supplementary Table 1 ) to demonstrate that including several lagged climate variables provides a preferable trade-off between optimally describing the data and limiting the possibility of overfitting.

We calculate these variables from the distribution of daily, d , temperature, T x , d , and precipitation, P x , d , at the grid-cell, x , level for both the historical and future climate data. As well as annual mean temperature, \({\bar{T}}_{x,y}\) , and annual total precipitation, P x , y , we calculate annual, y , measures of daily temperature variability, \({\widetilde{T}}_{x,y}\) :

the number of wet days, Pwd x , y :

and extreme daily rainfall:

in which T x , d , m , y is the grid-cell-specific daily temperature in month m and year y , \({\bar{T}}_{x,m,{y}}\) is the year and grid-cell-specific monthly, m , mean temperature, D m and D y the number of days in a given month m or year y , respectively, H the Heaviside step function, 1 mm the threshold used to define wet days and P 99.9 x is the 99.9th percentile of historical (1979–2019) daily precipitation at the grid-cell level. Units of the climate measures are degrees Celsius for annual mean temperature and daily temperature variability, millimetres for total annual precipitation and extreme daily precipitation, and simply the number of days for the annual number of wet days.

We also calculated weighted standard deviations of monthly rainfall totals as also used in ref.  8 but do not include them in our projections as we find that, when accounting for delayed effects, their effect becomes statistically indistinct and is better captured by changes in total annual rainfall.

Spatial aggregation

We aggregate grid-cell-level historical and future climate measures, as well as grid-cell-level future GDPpc and population, to the level of the first administrative unit below national level of the GADM database, using an area-weighting algorithm that estimates the portion of each grid cell falling within an administrative boundary. We use this as our baseline specification following previous findings that the effect of area or population weighting at the sub-national level is negligible 7 , 8 .

Empirical model specification: fixed-effects distributed lag models

Following a wide range of climate econometric literature 16 , 60 , we use panel regression models with a selection of fixed effects and time trends to isolate plausibly exogenous variation with which to maximize confidence in a causal interpretation of the effects of climate on economic growth rates. The use of region fixed effects, μ r , accounts for unobserved time-invariant differences between regions, such as prevailing climatic norms and growth rates owing to historical and geopolitical factors. The use of yearly fixed effects, η y , accounts for regionally invariant annual shocks to the global climate or economy such as the El Niño–Southern Oscillation or global recessions. In our baseline specification, we also include region-specific linear time trends, k r y , to exclude the possibility of spurious correlations resulting from common slow-moving trends in climate and growth.

The persistence of climate impacts on economic growth rates is a key determinant of the long-term magnitude of damages. Methods for inferring the extent of persistence in impacts on growth rates have typically used lagged climate variables to evaluate the presence of delayed effects or catch-up dynamics 2 , 18 . For example, consider starting from a model in which a climate condition, C r , y , (for example, annual mean temperature) affects the growth rate, Δlgrp r , y (the first difference of the logarithm of gross regional product) of region r in year y :

which we refer to as a ‘pure growth effects’ model in the main text. Typically, further lags are included,

and the cumulative effect of all lagged terms is evaluated to assess the extent to which climate impacts on growth rates persist. Following ref.  18 , in the case that,

the implication is that impacts on the growth rate persist up to NL years after the initial shock (possibly to a weaker or a stronger extent), whereas if

then the initial impact on the growth rate is recovered after NL years and the effect is only one on the level of output. However, we note that such approaches are limited by the fact that, when including an insufficient number of lags to detect a recovery of the growth rates, one may find equation ( 6 ) to be satisfied and incorrectly assume that a change in climatic conditions affects the growth rate indefinitely. In practice, given a limited record of historical data, including too few lags to confidently conclude in an infinitely persistent impact on the growth rate is likely, particularly over the long timescales over which future climate damages are often projected 2 , 24 . To avoid this issue, we instead begin our analysis with a model for which the level of output, lgrp r , y , depends on the level of a climate variable, C r , y :

Given the non-stationarity of the level of output, we follow the literature 19 and estimate such an equation in first-differenced form as,

which we refer to as a model of ‘pure level effects’ in the main text. This model constitutes a baseline specification in which a permanent change in the climate variable produces an instantaneous impact on the growth rate and a permanent effect only on the level of output. By including lagged variables in this specification,

we are able to test whether the impacts on the growth rate persist any further than instantaneously by evaluating whether α L  > 0 are statistically significantly different from zero. Even though this framework is also limited by the possibility of including too few lags, the choice of a baseline model specification in which impacts on the growth rate do not persist means that, in the case of including too few lags, the framework reverts to the baseline specification of level effects. As such, this framework is conservative with respect to the persistence of impacts and the magnitude of future damages. It naturally avoids assumptions of infinite persistence and we are able to interpret any persistence that we identify with equation ( 9 ) as a lower bound on the extent of climate impact persistence on growth rates. See the main text for further discussion of this specification choice, in particular about its conservative nature compared with previous literature estimates, such as refs.  2 , 18 .

We allow the response to climatic changes to vary across regions, using interactions of the climate variables with historical average (1979–2019) climatic conditions reflecting heterogenous effects identified in previous work 7 , 8 . Following this previous work, the moderating variables of these interaction terms constitute the historical average of either the variable itself or of the seasonal temperature difference, \({\hat{T}}_{r}\) , or annual mean temperature, \({\bar{T}}_{r}\) , in the case of daily temperature variability 7 and extreme daily rainfall, respectively 8 .

The resulting regression equation with N and M lagged variables, respectively, reads:

in which Δlgrp r , y is the annual, regional GRPpc growth rate, measured as the first difference of the logarithm of real GRPpc, following previous work 2 , 3 , 7 , 8 , 18 , 19 . Fixed-effects regressions were run using the fixest package in R (ref.  61 ).

Estimates of the coefficients of interest α i , L are shown in Extended Data Fig. 1 for N  =  M  = 10 lags and for our preferred choice of the number of lags in Supplementary Figs. 1 – 3 . In Extended Data Fig. 1 , errors are shown clustered at the regional level, but for the construction of damage projections, we block-bootstrap the regressions by region 1,000 times to provide a range of parameter estimates with which to sample the projection uncertainty (following refs.  2 , 31 ).

Spatial-lag model

In Supplementary Fig. 14 , we present the results from a spatial-lag model that explores the potential for climate impacts to ‘spill over’ into spatially neighbouring regions. We measure the distance between centroids of each pair of sub-national regions and construct spatial lags that take the average of the first-differenced climate variables and their interaction terms over neighbouring regions that are at distances of 0–500, 500–1,000, 1,000–1,500 and 1,500–2000 km (spatial lags, ‘SL’, 1 to 4). For simplicity, we then assess a spatial-lag model without temporal lags to assess spatial spillovers of contemporaneous climate impacts. This model takes the form:

in which SL indicates the spatial lag of each climate variable and interaction term. In Supplementary Fig. 14 , we plot the cumulative marginal effect of each climate variable at different baseline climate conditions by summing the coefficients for each climate variable and interaction term, for example, for average temperature impacts as:

These cumulative marginal effects can be regarded as the overall spatially dependent impact to an individual region given a one-unit shock to a climate variable in that region and all neighbouring regions at a given value of the moderating variable of the interaction term.

Constructing projections of economic damage from future climate change

We construct projections of future climate damages by applying the coefficients estimated in equation ( 10 ) and shown in Supplementary Tables 2 – 4 (when including only lags with statistically significant effects in specifications that limit overfitting; see Supplementary Methods Section  1 ) to projections of future climate change from the CMIP-6 models. Year-on-year changes in each primary climate variable of interest are calculated to reflect the year-to-year variations used in the empirical models. 30-year moving averages of the moderating variables of the interaction terms are calculated to reflect the long-term average of climatic conditions that were used for the moderating variables in the empirical models. By using moving averages in the projections, we account for the changing vulnerability to climate shocks based on the evolving long-term conditions (Supplementary Figs. 10 and 11 show that the results are robust to the precise choice of the window of this moving average). Although these climate variables are not differenced, the fact that the bias-adjusted climate models reproduce observed climatological patterns across regions for these moderating variables very accurately (Supplementary Table 6 ) with limited spread across models (<3%) precludes the possibility that any considerable bias or uncertainty is introduced by this methodological choice. However, we impose caps on these moderating variables at the 95th percentile at which they were observed in the historical data to prevent extrapolation of the marginal effects outside the range in which the regressions were estimated. This is a conservative choice that limits the magnitude of our damage projections.

Time series of primary climate variables and moderating climate variables are then combined with estimates of the empirical model parameters to evaluate the regression coefficients in equation ( 10 ), producing a time series of annual GRPpc growth-rate reductions for a given emission scenario, climate model and set of empirical model parameters. The resulting time series of growth-rate impacts reflects those occurring owing to future climate change. By contrast, a future scenario with no climate change would be one in which climate variables do not change (other than with random year-to-year fluctuations) and hence the time-averaged evaluation of equation ( 10 ) would be zero. Our approach therefore implicitly compares the future climate-change scenario to this no-climate-change baseline scenario.

The time series of growth-rate impacts owing to future climate change in region r and year y , δ r , y , are then added to the future baseline growth rates, π r , y (in log-diff form), obtained from the SSP2 scenario to yield trajectories of damaged GRPpc growth rates, ρ r , y . These trajectories are aggregated over time to estimate the future trajectory of GRPpc with future climate impacts:

in which GRPpc r , y =2020 is the initial log level of GRPpc. We begin damage estimates in 2020 to reflect the damages occurring since the end of the period for which we estimate the empirical models (1979–2019) and to match the timing of mitigation-cost estimates from most IAMs (see below).

For each emission scenario, this procedure is repeated 1,000 times while randomly sampling from the selection of climate models, the selection of empirical models with different numbers of lags (shown in Supplementary Figs. 1 – 3 and Supplementary Tables 2 – 4 ) and bootstrapped estimates of the regression parameters. The result is an ensemble of future GRPpc trajectories that reflect uncertainty from both physical climate change and the structural and sampling uncertainty of the empirical models.

Estimates of mitigation costs

We obtain IPCC estimates of the aggregate costs of emission mitigation from the AR6 Scenario Explorer and Database hosted by IIASA 23 . Specifically, we search the AR6 Scenarios Database World v1.1 for IAMs that provided estimates of global GDP and population under both a SSP2 baseline and a SSP2-RCP2.6 scenario to maintain consistency with the socio-economic and emission scenarios of the climate damage projections. We find five IAMs that provide data for these scenarios, namely, MESSAGE-GLOBIOM 1.0, REMIND-MAgPIE 1.5, AIM/GCE 2.0, GCAM 4.2 and WITCH-GLOBIOM 3.1. Of these five IAMs, we use the results only from the first three that passed the IPCC vetting procedure for reproducing historical emission and climate trajectories. We then estimate global mitigation costs as the percentage difference in global per capita GDP between the SSP2 baseline and the SSP2-RCP2.6 emission scenario. In the case of one of these IAMs, estimates of mitigation costs begin in 2020, whereas in the case of two others, mitigation costs begin in 2010. The mitigation cost estimates before 2020 in these two IAMs are mostly negligible, and our choice to begin comparison with damage estimates in 2020 is conservative with respect to the relative weight of climate damages compared with mitigation costs for these two IAMs.

Data availability

Data on economic production and ERA-5 climate data are publicly available at https://doi.org/10.5281/zenodo.4681306 (ref. 62 ) and https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era5 , respectively. Data on mitigation costs are publicly available at https://data.ene.iiasa.ac.at/ar6/#/downloads . Processed climate and economic data, as well as all other necessary data for reproduction of the results, are available at the public repository https://doi.org/10.5281/zenodo.10562951  (ref. 63 ).

Code availability

All code necessary for reproduction of the results is available at the public repository https://doi.org/10.5281/zenodo.10562951  (ref. 63 ).

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Acknowledgements

We gratefully acknowledge financing from the Volkswagen Foundation and the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH on behalf of the Government of the Federal Republic of Germany and Federal Ministry for Economic Cooperation and Development (BMZ).

Open access funding provided by Potsdam-Institut für Klimafolgenforschung (PIK) e.V.

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Extended data figures and tables

Extended data fig. 1 constraining the persistence of historical climate impacts on economic growth rates..

The results of a panel-based fixed-effects distributed lag model for the effects of annual mean temperature ( a ), daily temperature variability ( b ), total annual precipitation ( c ), the number of wet days ( d ) and extreme daily precipitation ( e ) on sub-national economic growth rates. Point estimates show the effects of a 1 °C or one standard deviation increase (for temperature and precipitation variables, respectively) at the lower quartile, median and upper quartile of the relevant moderating variable (green, orange and purple, respectively) at different lagged periods after the initial shock (note that these are not cumulative effects). Climate variables are used in their first-differenced form (see main text for discussion) and the moderating climate variables are the annual mean temperature, seasonal temperature difference, total annual precipitation, number of wet days and annual mean temperature, respectively, in panels a – e (see Methods for further discussion). Error bars show the 95% confidence intervals having clustered standard errors by region. The within-region R 2 , Bayesian and Akaike information criteria for the model are shown at the top of the figure. This figure shows results with ten lags for each variable to demonstrate the observed levels of persistence, but our preferred specifications remove later lags based on the statistical significance of terms shown above and the information criteria shown in Extended Data Fig. 2 . The resulting models without later lags are shown in Supplementary Figs. 1 – 3 .

Extended Data Fig. 2 Incremental lag-selection procedure using information criteria and within-region R 2 .

Starting from a panel-based fixed-effects distributed lag model estimating the effects of climate on economic growth using the real historical data (as in equation ( 4 )) with ten lags for all climate variables (as shown in Extended Data Fig. 1 ), lags are incrementally removed for one climate variable at a time. The resulting Bayesian and Akaike information criteria are shown in a – e and f – j , respectively, and the within-region R 2 and number of observations in k – o and p – t , respectively. Different rows show the results when removing lags from different climate variables, ordered from top to bottom as annual mean temperature, daily temperature variability, total annual precipitation, the number of wet days and extreme annual precipitation. Information criteria show minima at approximately four lags for precipitation variables and ten to eight for temperature variables, indicating that including these numbers of lags does not lead to overfitting. See Supplementary Table 1 for an assessment using information criteria to determine whether including further climate variables causes overfitting.

Extended Data Fig. 3 Damages in our preferred specification that provides a robust lower bound on the persistence of climate impacts on economic growth versus damages in specifications of pure growth or pure level effects.

Estimates of future damages as shown in Fig. 1 but under the emission scenario RCP8.5 for three separate empirical specifications: in orange our preferred specification, which provides an empirical lower bound on the persistence of climate impacts on economic growth rates while avoiding assumptions of infinite persistence (see main text for further discussion); in purple a specification of ‘pure growth effects’ in which the first difference of climate variables is not taken and no lagged climate variables are included (the baseline specification of ref.  2 ); and in pink a specification of ‘pure level effects’ in which the first difference of climate variables is taken but no lagged terms are included.

Extended Data Fig. 4 Climate changes in different variables as a function of historical interannual variability.

Changes in each climate variable of interest from 1979–2019 to 2035–2065 under the high-emission scenario SSP5-RCP8.5, expressed as a percentage of the historical variability of each measure. Historical variability is estimated as the standard deviation of each detrended climate variable over the period 1979–2019 during which the empirical models were identified (detrending is appropriate because of the inclusion of region-specific linear time trends in the empirical models). See Supplementary Fig. 13 for changes expressed in standard units. Data on national administrative boundaries are obtained from the GADM database version 3.6 and are freely available for academic use ( https://gadm.org/ ).

Extended Data Fig. 5 Contribution of different climate variables to overall committed damages.

a , Climate damages in 2049 when using empirical models that account for all climate variables, changes in annual mean temperature only or changes in both annual mean temperature and one other climate variable (daily temperature variability, total annual precipitation, the number of wet days and extreme daily precipitation, respectively). b , The cumulative marginal effects of an increase in annual mean temperature of 1 °C, at different baseline temperatures, estimated from empirical models including all climate variables or annual mean temperature only. Estimates and uncertainty bars represent the median and 95% confidence intervals obtained from 1,000 block-bootstrap resamples from each of three different empirical models using eight, nine or ten lags of temperature terms.

Extended Data Fig. 6 The difference in committed damages between the upper and lower quartiles of countries when ranked by GDP and cumulative historical emissions.

Quartiles are defined using a population weighting, as are the average committed damages across each quartile group. The violin plots indicate the distribution of differences between quartiles across the two extreme emission scenarios (RCP2.6 and RCP8.5) and the uncertainty sampling procedure outlined in Methods , which accounts for uncertainty arising from the choice of lags in the empirical models, uncertainty in the empirical model parameter estimates, as well as the climate model projections. Bars indicate the median, as well as the 10th and 90th percentiles and upper and lower sixths of the distribution reflecting the very likely and likely ranges following the likelihood classification adopted by the IPCC.

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Kotz, M., Levermann, A. & Wenz, L. The economic commitment of climate change. Nature 628 , 551–557 (2024). https://doi.org/10.1038/s41586-024-07219-0

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Steering committee members.

Erik Brynjolfsson

John Etchemendy

Katrina Ligett

Terah Lyons

James Manyika

Juan Carlos Niebles

Vanessa Parli

Yoav Shoham

Russell Wald

Staff members.

Loredana Fattorini

Nestor Maslej

Letter from the co-directors.

A decade ago, the best AI systems in the world were unable to classify objects in images at a human level. AI struggled with language comprehension and could not solve math problems. Today, AI systems routinely exceed human performance on standard benchmarks.

Progress accelerated in 2023. New state-of-the-art systems like GPT-4, Gemini, and Claude 3 are impressively multimodal: They can generate fluent text in dozens of languages, process audio, and even explain memes. As AI has improved, it has increasingly forced its way into our lives. Companies are racing to build AI-based products, and AI is increasingly being used by the general public. But current AI technology still has significant problems. It cannot reliably deal with facts, perform complex reasoning, or explain its conclusions.

AI faces two interrelated futures. First, technology continues to improve and is increasingly used, having major consequences for productivity and employment. It can be put to both good and bad uses. In the second future, the adoption of AI is constrained by the limitations of the technology. Regardless of which future unfolds, governments are increasingly concerned. They are stepping in to encourage the upside, such as funding university R&D and incentivizing private investment. Governments are also aiming to manage the potential downsides, such as impacts on employment, privacy concerns, misinformation, and intellectual property rights.

As AI rapidly evolves, the AI Index aims to help the AI community, policymakers, business leaders, journalists, and the general public navigate this complex landscape. It provides ongoing, objective snapshots tracking several key areas: technical progress in AI capabilities, the community and investments driving AI development and deployment, public opinion on current and potential future impacts, and policy measures taken to stimulate AI innovation while managing its risks and challenges. By comprehensively monitoring the AI ecosystem, the Index serves as an important resource for understanding this transformative technological force.

On the technical front, this year’s AI Index reports that the number of new large language models released worldwide in 2023 doubled over the previous year. Two-thirds were open-source, but the highest-performing models came from industry players with closed systems. Gemini Ultra became the first LLM to reach human-level performance on the Massive Multitask Language Understanding (MMLU) benchmark; performance on the benchmark has improved by 15 percentage points since last year. Additionally, GPT-4 achieved an impressive 0.97 mean win rate score on the comprehensive Holistic Evaluation of Language Models (HELM) benchmark, which includes MMLU among other evaluations.

Although global private investment in AI decreased for the second consecutive year, investment in generative AI skyrocketed. More Fortune 500 earnings calls mentioned AI than ever before, and new studies show that AI tangibly boosts worker productivity. On the policymaking front, global mentions of AI in legislative proceedings have never been higher. U.S. regulators passed more AI-related regulations in 2023 than ever before. Still, many expressed concerns about AI’s ability to generate deepfakes and impact elections. The public became more aware of AI, and studies suggest that they responded with nervousness.

Ray Perrault Co-director, AI Index

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Fatal Traffic Risks With a Total Solar Eclipse in the US

• 1 Department of Medicine, University of Toronto, Toronto, Ontario, Canada
• 2 Evaluative Clinical Science Platform, Sunnybrook Research Institute, Toronto, Ontario, Canada
• 3 Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
• 4 Division of General Internal Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
• 5 Center for Leading Injury Prevention Practice Education & Research, Toronto, Ontario, Canada
• 6 Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
• 7 Centre for Clinical Epidemiology & Evaluation, University of British Columbia, Vancouver, British Columbia, Canada

A total solar eclipse occurs when the moon temporarily obscures the sun and casts a dark shadow across the earth. This astronomical spectacle has been described for more than 3 millennia and can be predicted with high precision. Eclipse-related solar retinopathy (vision loss from staring at the sun) is an established medical complication; however, other medical outcomes have received little attention. 1

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Redelmeier DA , Staples JA. Fatal Traffic Risks With a Total Solar Eclipse in the US. JAMA Intern Med. Published online March 25, 2024. doi:10.1001/jamainternmed.2023.5234

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Computer Science > Machine Learning

Title: megalodon: efficient llm pretraining and inference with unlimited context length.

Abstract: The quadratic complexity and weak length extrapolation of Transformers limits their ability to scale to long sequences, and while sub-quadratic solutions like linear attention and state space models exist, they empirically underperform Transformers in pretraining efficiency and downstream task accuracy. We introduce Megalodon, a neural architecture for efficient sequence modeling with unlimited context length. Megalodon inherits the architecture of Mega (exponential moving average with gated attention), and further introduces multiple technical components to improve its capability and stability, including complex exponential moving average (CEMA), timestep normalization layer, normalized attention mechanism and pre-norm with two-hop residual configuration. In a controlled head-to-head comparison with Llama2, Megalodon achieves better efficiency than Transformer in the scale of 7 billion parameters and 2 trillion training tokens. Megalodon reaches a training loss of 1.70, landing mid-way between Llama2-7B (1.75) and 13B (1.67). Code: this https URL

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How Pew Research Center will report on generations moving forward

Journalists, researchers and the public often look at society through the lens of generation, using terms like Millennial or Gen Z to describe groups of similarly aged people. This approach can help readers see themselves in the data and assess where we are and where we’re headed as a country.

Pew Research Center has been at the forefront of generational research over the years, telling the story of Millennials as they came of age politically and as they moved more firmly into adult life . In recent years, we’ve also been eager to learn about Gen Z as the leading edge of this generation moves into adulthood.

But generational research has become a crowded arena. The field has been flooded with content that’s often sold as research but is more like clickbait or marketing mythology. There’s also been a growing chorus of criticism about generational research and generational labels in particular.

Recently, as we were preparing to embark on a major research project related to Gen Z, we decided to take a step back and consider how we can study generations in a way that aligns with our values of accuracy, rigor and providing a foundation of facts that enriches the public dialogue.

A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations.

We set out on a yearlong process of assessing the landscape of generational research. We spoke with experts from outside Pew Research Center, including those who have been publicly critical of our generational analysis, to get their take on the pros and cons of this type of work. We invested in methodological testing to determine whether we could compare findings from our earlier telephone surveys to the online ones we’re conducting now. And we experimented with higher-level statistical analyses that would allow us to isolate the effect of generation.

What emerged from this process was a set of clear guidelines that will help frame our approach going forward. Many of these are principles we’ve always adhered to , but others will require us to change the way we’ve been doing things in recent years.

Here’s a short overview of how we’ll approach generational research in the future:

We’ll only do generational analysis when we have historical data that allows us to compare generations at similar stages of life. When comparing generations, it’s crucial to control for age. In other words, researchers need to look at each generation or age cohort at a similar point in the life cycle. (“Age cohort” is a fancy way of referring to a group of people who were born around the same time.)

When doing this kind of research, the question isn’t whether young adults today are different from middle-aged or older adults today. The question is whether young adults today are different from young adults at some specific point in the past.

To answer this question, it’s necessary to have data that’s been collected over a considerable amount of time – think decades. Standard surveys don’t allow for this type of analysis. We can look at differences across age groups, but we can’t compare age groups over time.

Another complication is that the surveys we conducted 20 or 30 years ago aren’t usually comparable enough to the surveys we’re doing today. Our earlier surveys were done over the phone, and we’ve since transitioned to our nationally representative online survey panel , the American Trends Panel . Our internal testing showed that on many topics, respondents answer questions differently depending on the way they’re being interviewed. So we can’t use most of our surveys from the late 1980s and early 2000s to compare Gen Z with Millennials and Gen Xers at a similar stage of life.

This means that most generational analysis we do will use datasets that have employed similar methodologies over a long period of time, such as surveys from the U.S. Census Bureau. A good example is our 2020 report on Millennial families , which used census data going back to the late 1960s. The report showed that Millennials are marrying and forming families at a much different pace than the generations that came before them.

Even when we have historical data, we will attempt to control for other factors beyond age in making generational comparisons. If we accept that there are real differences across generations, we’re basically saying that people who were born around the same time share certain attitudes or beliefs – and that their views have been influenced by external forces that uniquely shaped them during their formative years. Those forces may have been social changes, economic circumstances, technological advances or political movements.

When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

The tricky part is isolating those forces from events or circumstances that have affected all age groups, not just one generation. These are often called “period effects.” An example of a period effect is the Watergate scandal, which drove down trust in government among all age groups. Differences in trust across age groups in the wake of Watergate shouldn’t be attributed to the outsize impact that event had on one age group or another, because the change occurred across the board.

Changing demographics also may play a role in patterns that might at first seem like generational differences. We know that the United States has become more racially and ethnically diverse in recent decades, and that race and ethnicity are linked with certain key social and political views. When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.

Controlling for these factors can involve complicated statistical analysis that helps determine whether the differences we see across age groups are indeed due to generation or not. This additional step adds rigor to the process. Unfortunately, it’s often absent from current discussions about Gen Z, Millennials and other generations.

When we can’t do generational analysis, we still see value in looking at differences by age and will do so where it makes sense. Age is one of the most common predictors of differences in attitudes and behaviors. And even if age gaps aren’t rooted in generational differences, they can still be illuminating. They help us understand how people across the age spectrum are responding to key trends, technological breakthroughs and historical events.

Each stage of life comes with a unique set of experiences. Young adults are often at the leading edge of changing attitudes on emerging social trends. Take views on same-sex marriage , for example, or attitudes about gender identity .

Many middle-aged adults, in turn, face the challenge of raising children while also providing care and support to their aging parents. And older adults have their own obstacles and opportunities. All of these stories – rooted in the life cycle, not in generations – are important and compelling, and we can tell them by analyzing our surveys at any given point in time.

When we do have the data to study groups of similarly aged people over time, we won’t always default to using the standard generational definitions and labels. While generational labels are simple and catchy, there are other ways to analyze age cohorts. For example, some observers have suggested grouping people by the decade in which they were born. This would create narrower cohorts in which the members may share more in common. People could also be grouped relative to their age during key historical events (such as the Great Recession or the COVID-19 pandemic) or technological innovations (like the invention of the iPhone).

By choosing not to use the standard generational labels when they’re not appropriate, we can avoid reinforcing harmful stereotypes or oversimplifying people’s complex lived experiences.

Existing generational definitions also may be too broad and arbitrary to capture differences that exist among narrower cohorts. A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations. The key is to pick a lens that’s most appropriate for the research question that’s being studied. If we’re looking at political views and how they’ve shifted over time, for example, we might group people together according to the first presidential election in which they were eligible to vote.

With these considerations in mind, our audiences should not expect to see a lot of new research coming out of Pew Research Center that uses the generational lens. We’ll only talk about generations when it adds value, advances important national debates and highlights meaningful societal trends.

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How Teens and Parents Approach Screen Time

Who are you the art and science of measuring identity, u.s. centenarian population is projected to quadruple over the next 30 years, older workers are growing in number and earning higher wages, teens, social media and technology 2023, most popular.

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