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Research Paper – Structure, Examples and Writing Guide

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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.

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Research Paper

29 December 2023

last updated

A research paper is a product of seeking information, analysis, human thinking, and time. Basically, when scholars want to get answers to questions, they start to search for information to expand, use, approve, or deny findings. In simple words, research papers are results of processes by considering writing works and following specific requirements. Besides, scientists research and expand many theories, developing social or technological aspects of human science. However, in order to write relevant papers, they need to know a definition of the research, structure, characteristics, and types.

Definition of What Is a Research Paper and Its Meaning

A research paper is a common assignment. It comes to a situation when students, scholars, and scientists need to answer specific questions by using sources. Basically, a research paper is one of the types of papers where scholars analyze questions or topics , look for secondary sources , and write papers on defined themes. For example, if an assignment is to write a research paper on some causes of global warming or any other topic, a person must write a research proposal on it, analyzing important points and credible sources . Although essays focus on personal knowledge, writing a research paper means analyzing sources by following academic standards. Moreover, scientists must meet the structure of research papers. Therefore, writers need to analyze their research paper topics , start to research, cover key aspects, process credible articles, and organize final studies properly.

The Structure of a Research Work

The structure of research papers depends on assignment requirements. In fact, when students get their assignments and instructions, they need to analyze specific research questions or topics, find reliable sources , and write final works. Basically, the structure of research papers consists of the abstract , outline , introduction , literature review , methodology, results , discussion, recommendations, limitations, conclusion , acknowledgments , and references. However, students may not include some of these sections because of assigned instructions that they have and specific types of research papers. For instance, if instructions of papers do not suppose to conduct real experiments, the methodology section can be skipped because of the data’s absence. In turn, the structure of the final work consists of:

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🔸 The First Part of a Research Study

Abstract or an executive summary means the first section of a research paper that provides the study’s purpose, research questions or suggestions, main findings with conclusions. Moreover, this paragraph of about 150 words should be written when the whole work is finished already. Hence, abstract sections should describe key aspects of studies, including discussions about the relevance of findings.

Outline serves as a clear map of the structure of a research study.

Introduction provides the main information on problem statements, the indication of methodology, important findings, and principal conclusion. Basically, this section of a research paper covers rationales behind the work or background research, explanation of the importance, defending its relevance, a brief description of experimental designs, defined research questions, hypotheses, or key aspects.

🔸 Literature Review and Research or Experiment

Literature Review is needed for the analysis of past studies or scholarly articles to be familiar with research questions or topics. Hence, this section summarizes and synthesizes arguments and ideas from scholarly sources without adding new contributions. In turn, this part is organized around arguments or ideas, not sources.

Methodology or Materials and Methods covers explanations of research designs. Basically, techniques for gathering information and other aspects related to experiments must be described in a research paper. For instance, students and scholars document all specialized materials and general procedures. In this case, individuals may use some or all of the methods in further studies or judge the scientific merit of the work. Moreover, scientists should explain how they are going to conduct their experiments.

Results mean the gained information or data after the research or experiment. Basically, scholars should present and illustrate their findings. Moreover, this section may include tables or figures.

🔸 Analysis of Findings

Discussion is a section of a research paper where scientists review the information in the introduction part, evaluate gained results, or compare it with past studies. In particular, students and scholars interpret gained data or findings in appropriate depth. For example, if results differ from expectations at the beginning, scientists should explain why that may have happened. However, if results agree with rationales, scientists should describe theories that the evidence is supported.

Recommendations take its roots from a discussion section where scholars propose potential solutions or new ideas based on obtained results in a research paper. In this case, if scientists have any recommendations on how to improve this research so that other scholars can use evidence in further studies, they must write what they think in this section.

Limitations mean a consideration of research weaknesses and results to get new directions. For instance, if researchers found any limitations of studies that could affect experiments, scholars must not use such knowledge because of the same mistakes. Moreover, scientists should avoid contradicting results, and, even more, they must write it in this section.

🔸 The Final Part of a Conducted Research

Conclusion includes final claims of a research paper based on findings. Basically, this section covers final thoughts and the summary of the whole work. Moreover, this section may be used instead of limitations and recommendations that would be too small by themselves. In this case, scientists do not need to use headings for recommendations and limitations. Also, check out conclusion examples .

Acknowledgments or Appendix may take different forms, from paragraphs to charts. In this section, scholars include additional information on a research paper.

References mean a section where students, scholars, or scientists provide all used sources by following the format and academic rules.

Research Characteristics

Any type of work must meet some standards. By considering a research paper, this work must be written accordingly. In this case, the main characteristics of research papers are the length, style, format, and sources. Firstly, the length of research work defines the number of needed sources to analyze. Then, the style must be formal and covers impersonal and inclusive language. In turn, the format means academic standards of how to organize final works, including its structure and norms. Finally, sources and their number define works as research papers because of the volume of analyzed information. Hence, these characteristics must be considered while writing research papers.

Types of Research Papers

In general, the length of assignments can be different because of instructions. For example, there are two main types of research papers, such as typical and serious works. Firstly, a typical research paper may include definitive, argumentative, interpretive, and other works. In this case, typical papers are from 2 to 10 pages, where students analyze research questions or specific topics. Then, a serious research study is the expanded version of typical works. In turn, the length of such a paper is more than 10 pages. Basically, such works cover a serious analysis with many sources. Therefore, typical and serious works are two types of research papers.

Typical Research Papers

Basically, typical research works depend on assignments, the number of sources, and the paper’s length. So, a typical research paper is usually a long essay with the analyzed evidence. For example, students in high school and colleges get such assignments to learn how to research and analyze topics. In this case, they do not need to conduct serious experiments with the analysis and calculation of data. Moreover, students must use the Internet or libraries in searching for credible secondary sources to find potential answers to specific questions. As a result, students gather information on topics and learn how to take defined sides, present unique positions, or explain new directions. Hence, typical research papers require an analysis of primary and secondary sources without serious experiments or data.

Serious Research Studies

Although long papers require a lot of time for finding and analyzing credible sources, real experiments are an integral part of research work. Firstly, scholars at universities need to analyze the information from past studies to expand or disapprove of researched topics. Then, if scholars want to prove specific positions or ideas, they must get real evidence. In this case, experiments can be surveys, calculations, or other types of data that scholars do personally. Moreover, a dissertation is a typical serious research paper that young scientists write based on the research analysis of topics, data from conducted experiments, and conclusions at the end of work. Thus, serious research papers are studies that take a lot of time, analysis of sources with gained data, and interpretation of results.

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Types of Research Papers: Overview

Types of Research Questions

A research paper is simply a piece of writing that uses outside sources. There are different types of research papers with varying purposes and expectations for sourcing. While this guide explains those differences broadly, disciplines and assignments vary. Ask your professor for clarification on the purpose, types of appropriate research questions , and expectations of sources for your assignment.

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What is a research paper?

A research paper is a paper that makes an argument about a topic based on research and analysis.

Any paper requiring the writer to research a particular topic is a research paper. Unlike essays, which are often based largely on opinion and are written from the author's point of view, research papers are based in fact.

A research paper requires you to form an opinion on a topic, research and gain expert knowledge on that topic, and then back up your own opinions and assertions with facts found through your thorough research.

➡️ Read more about different types of research papers .

What is the difference between a research paper and a thesis?

A thesis is a large paper, or multi-chapter work, based on a topic relating to your field of study.

A thesis is a document students of higher education write to obtain an academic degree or qualification. Usually, it is longer than a research paper and takes multiple years to complete.

Generally associated with graduate/postgraduate studies, it is carried out under the supervision of a professor or other academic of the university.

A major difference between a research paper and a thesis is that:

a research paper presents certain facts that have already been researched and explained by others
a thesis starts with a certain scholarly question or statement, which then leads to further research and new findings

This means that a thesis requires the author to input original work and their own findings in a certain field, whereas the research paper can be completed with extensive research only.

➡️ Getting ready to start a research paper or thesis? Take a look at our guides on how to start a research paper or how to come up with a topic for your thesis .

Frequently Asked Questions about research papers

Take a look at this list of the top 21 Free Online Journal and Research Databases , such as ScienceOpen , Directory of Open Access Journals , ERIC , and many more.

Mason Porter, Professor at UCLA, explains in this forum post the main reasons to write a research paper:

To create new knowledge and disseminate it.
To teach science and how to write about it in an academic style.
Some practical benefits: prestige, establishing credentials, requirements for grants or to help one get a future grant proposal, and so on.

Generally, people involved in the academia. Research papers are mostly written by higher education students and professional researchers.

Yes, a research paper is the same as a scientific paper. Both papers have the same purpose and format.

A major difference between a research paper and a thesis is that the former presents certain facts that have already been researched and explained by others, whereas the latter starts with a certain scholarly question or statement, which then leads to further research and new findings.

What Is a Research Paper?

An Introduction to Punctuation

Olivia Valdes was the Associate Editorial Director for ThoughtCo. She worked with Dotdash Meredith from 2017 to 2021.

B.A., American Studies, Yale University

A research paper is a common form of academic writing . Research papers require students and academics to locate information about a topic (that is, to conduct research ), take a stand on that topic, and provide support (or evidence) for that position in an organized report.

The term research paper may also refer to a scholarly article that contains the results of original research or an evaluation of research conducted by others. Most scholarly articles must undergo a process of peer review before they can be accepted for publication in an academic journal.

Define Your Research Question

The first step in writing a research paper is defining your research question . Has your instructor assigned a specific topic? If so, great—you've got this step covered. If not, review the guidelines of the assignment. Your instructor has likely provided several general subjects for your consideration. Your research paper should focus on a specific angle on one of these subjects. Spend some time mulling over your options before deciding which one you'd like to explore more deeply.

Try to choose a research question that interests you. The research process is time-consuming, and you'll be significantly more motivated if you have a genuine desire to learn more about the topic. You should also consider whether you have access to all of the resources necessary to conduct thorough research on your topic, such as primary and secondary sources .

Create a Research Strategy

Approach the research process systematically by creating a research strategy. First, review your library's website. What resources are available? Where will you find them? Do any resources require a special process to gain access? Start gathering those resources—especially those that may be difficult to access—as soon as possible.

Second, make an appointment with a reference librarian . A reference librarian is nothing short of a research superhero. He or she will listen to your research question, offer suggestions for how to focus your research, and direct you toward valuable sources that directly relate to your topic.

Evaluate Sources

Now that you've gathered a wide array of sources, it's time to evaluate them. First, consider the reliability of the information. Where is the information coming from? What is the origin of the source? Second, assess the relevance of the information. How does this information relate to your research question? Does it support, refute, or add context to your position? How does it relate to the other sources you'll be using in your paper? Once you have determined that your sources are both reliable and relevant, you can proceed confidently to the writing phase.

Why Write Research Papers?

The research process is one of the most taxing academic tasks you'll be asked to complete. Luckily, the value of writing a research paper goes beyond that A+ you hope to receive. Here are just some of the benefits of research papers.

Learning Scholarly Conventions: Writing a research paper is a crash course in the stylistic conventions of scholarly writing. During the research and writing process, you'll learn how to document your research, cite sources appropriately, format an academic paper, maintain an academic tone, and more.
Organizing Information: In a way, research is nothing more than a massive organizational project. The information available to you is near-infinite, and it's your job to review that information, narrow it down, categorize it, and present it in a clear, relevant format. This process requires attention to detail and major brainpower.
Managing Time: Research papers put your time management skills to the test. Every step of the research and writing process takes time, and it's up to you to set aside the time you'll need to complete each step of the task. Maximize your efficiency by creating a research schedule and inserting blocks of "research time" into your calendar as soon as you receive the assignment.
Exploring Your Chosen Subject: We couldn't forget the best part of research papers—learning about something that truly excites you. No matter what topic you choose, you're bound to come away from the research process with new ideas and countless nuggets of fascinating information.

The best research papers are the result of genuine interest and a thorough research process. With these ideas in mind, go forth and research. Welcome to the scholarly conversation!

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Although research paper assignments may vary widely, there are essentially two basic types of research papers. These are argumentative and analytical .

Argumentative

In an argumentative research paper, a student both states the topic they will be exploring and immediately establishes the position they will argue regarding that topic in a thesis statement . This type of paper hopes to persuade its reader to adopt the view presented.

Example : a paper that argues the merits of early exposure to reading for children would be an argumentative essay.

An analytical research paper states the topic that the writer will be exploring, usually in the form of a question, initially taking a neutral stance. The body of the paper will present multifaceted information and, ultimately, the writer will state their conclusion, based on the information that has unfolded throughout the course of the essay. This type of paper hopes to offer a well-supported critical analysis without necessarily persuading the reader to any particular way of thinking.

Example : a paper that explores the use of metaphor in one of Shakespeare's sonnets would be an example of an analytical essay.

*Please note that this LibGuide will primarily be concerning itself with argumentative or rhetorical research papers.

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Home Market Research

What is Research: Definition, Methods, Types & Examples

The search for knowledge is closely linked to the object of study; that is, to the reconstruction of the facts that will provide an explanation to an observed event and that at first sight can be considered as a problem. It is very human to seek answers and satisfy our curiosity. Let’s talk about research.

Content Index

What is Research?

What are the characteristics of research.

Comparative analysis chart

Qualitative methods

Quantitative methods, 8 tips for conducting accurate research.

Research is the careful consideration of study regarding a particular concern or research problem using scientific methods. According to the American sociologist Earl Robert Babbie, “research is a systematic inquiry to describe, explain, predict, and control the observed phenomenon. It involves inductive and deductive methods.”

Inductive methods analyze an observed event, while deductive methods verify the observed event. Inductive approaches are associated with qualitative research , and deductive methods are more commonly associated with quantitative analysis .

Research is conducted with a purpose to:

Identify potential and new customers
Understand existing customers
Set pragmatic goals
Develop productive market strategies
Address business challenges
Put together a business expansion plan
Identify new business opportunities
Good research follows a systematic approach to capture accurate data. Researchers need to practice ethics and a code of conduct while making observations or drawing conclusions.
The analysis is based on logical reasoning and involves both inductive and deductive methods.
Real-time data and knowledge is derived from actual observations in natural settings.
There is an in-depth analysis of all data collected so that there are no anomalies associated with it.
It creates a path for generating new questions. Existing data helps create more research opportunities.
It is analytical and uses all the available data so that there is no ambiguity in inference.
Accuracy is one of the most critical aspects of research. The information must be accurate and correct. For example, laboratories provide a controlled environment to collect data. Accuracy is measured in the instruments used, the calibrations of instruments or tools, and the experiment’s final result.

What is the purpose of research?

There are three main purposes:

Exploratory: As the name suggests, researchers conduct exploratory studies to explore a group of questions. The answers and analytics may not offer a conclusion to the perceived problem. It is undertaken to handle new problem areas that haven’t been explored before. This exploratory data analysis process lays the foundation for more conclusive data collection and analysis.

LEARN ABOUT: Descriptive Analysis

Descriptive: It focuses on expanding knowledge on current issues through a process of data collection. Descriptive research describe the behavior of a sample population. Only one variable is required to conduct the study. The three primary purposes of descriptive studies are describing, explaining, and validating the findings. For example, a study conducted to know if top-level management leaders in the 21st century possess the moral right to receive a considerable sum of money from the company profit.

LEARN ABOUT: Best Data Collection Tools

Explanatory: Causal research or explanatory research is conducted to understand the impact of specific changes in existing standard procedures. Running experiments is the most popular form. For example, a study that is conducted to understand the effect of rebranding on customer loyalty.

Here is a comparative analysis chart for a better understanding:

It begins by asking the right questions and choosing an appropriate method to investigate the problem. After collecting answers to your questions, you can analyze the findings or observations to draw reasonable conclusions.

When it comes to customers and market studies, the more thorough your questions, the better the analysis. You get essential insights into brand perception and product needs by thoroughly collecting customer data through surveys and questionnaires . You can use this data to make smart decisions about your marketing strategies to position your business effectively.

To make sense of your study and get insights faster, it helps to use a research repository as a single source of truth in your organization and manage your research data in one centralized data repository .

Types of research methods and Examples

Research methods are broadly classified as Qualitative and Quantitative .

Both methods have distinctive properties and data collection methods .

Qualitative research is a method that collects data using conversational methods, usually open-ended questions . The responses collected are essentially non-numerical. This method helps a researcher understand what participants think and why they think in a particular way.

Types of qualitative methods include:

One-to-one Interview
Focus Groups
Ethnographic studies
Text Analysis

Quantitative methods deal with numbers and measurable forms . It uses a systematic way of investigating events or data. It answers questions to justify relationships with measurable variables to either explain, predict, or control a phenomenon.

Types of quantitative methods include:

Survey research
Descriptive research
Correlational research

LEARN MORE: Descriptive Research vs Correlational Research

Remember, it is only valuable and useful when it is valid, accurate, and reliable. Incorrect results can lead to customer churn and a decrease in sales.

It is essential to ensure that your data is:

Valid – founded, logical, rigorous, and impartial.
Accurate – free of errors and including required details.
Reliable – other people who investigate in the same way can produce similar results.
Timely – current and collected within an appropriate time frame.
Complete – includes all the data you need to support your business decisions.

Gather insights

Identify the main trends and issues, opportunities, and problems you observe. Write a sentence describing each one.
Keep track of the frequency with which each of the main findings appears.
Make a list of your findings from the most common to the least common.
Evaluate a list of the strengths, weaknesses, opportunities, and threats identified in a SWOT analysis .
Prepare conclusions and recommendations about your study.
Act on your strategies
Look for gaps in the information, and consider doing additional inquiry if necessary
Plan to review the results and consider efficient methods to analyze and interpret results.

Review your goals before making any conclusions about your study. Remember how the process you have completed and the data you have gathered help answer your questions. Ask yourself if what your analysis revealed facilitates the identification of your conclusions and recommendations.

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Types of Research – Explained with Examples

By DiscoverPhDs
October 2, 2020

Types of Research

Research is about using established methods to investigate a problem or question in detail with the aim of generating new knowledge about it.

It is a vital tool for scientific advancement because it allows researchers to prove or refute hypotheses based on clearly defined parameters, environments and assumptions. Due to this, it enables us to confidently contribute to knowledge as it allows research to be verified and replicated.

Knowing the types of research and what each of them focuses on will allow you to better plan your project, utilises the most appropriate methodologies and techniques and better communicate your findings to other researchers and supervisors.

Classification of Types of Research

There are various types of research that are classified according to their objective, depth of study, analysed data, time required to study the phenomenon and other factors. It’s important to note that a research project will not be limited to one type of research, but will likely use several.

According to its Purpose

Theoretical research.

Theoretical research, also referred to as pure or basic research, focuses on generating knowledge , regardless of its practical application. Here, data collection is used to generate new general concepts for a better understanding of a particular field or to answer a theoretical research question.

Results of this kind are usually oriented towards the formulation of theories and are usually based on documentary analysis, the development of mathematical formulas and the reflection of high-level researchers.

Applied Research

Here, the goal is to find strategies that can be used to address a specific research problem. Applied research draws on theory to generate practical scientific knowledge, and its use is very common in STEM fields such as engineering, computer science and medicine.

This type of research is subdivided into two types:

Technological applied research : looks towards improving efficiency in a particular productive sector through the improvement of processes or machinery related to said productive processes.
Scientific applied research : has predictive purposes. Through this type of research design, we can measure certain variables to predict behaviours useful to the goods and services sector, such as consumption patterns and viability of commercial projects.

According to your Depth of Scope

Exploratory research.

Exploratory research is used for the preliminary investigation of a subject that is not yet well understood or sufficiently researched. It serves to establish a frame of reference and a hypothesis from which an in-depth study can be developed that will enable conclusive results to be generated.

Because exploratory research is based on the study of little-studied phenomena, it relies less on theory and more on the collection of data to identify patterns that explain these phenomena.

Descriptive Research

The primary objective of descriptive research is to define the characteristics of a particular phenomenon without necessarily investigating the causes that produce it.

In this type of research, the researcher must take particular care not to intervene in the observed object or phenomenon, as its behaviour may change if an external factor is involved.

Explanatory Research

Explanatory research is the most common type of research method and is responsible for establishing cause-and-effect relationships that allow generalisations to be extended to similar realities. It is closely related to descriptive research, although it provides additional information about the observed object and its interactions with the environment.

Correlational Research

The purpose of this type of scientific research is to identify the relationship between two or more variables. A correlational study aims to determine whether a variable changes, how much the other elements of the observed system change.

According to the Type of Data Used

Qualitative research.

Qualitative methods are often used in the social sciences to collect, compare and interpret information, has a linguistic-semiotic basis and is used in techniques such as discourse analysis, interviews, surveys, records and participant observations.

In order to use statistical methods to validate their results, the observations collected must be evaluated numerically. Qualitative research, however, tends to be subjective, since not all data can be fully controlled. Therefore, this type of research design is better suited to extracting meaning from an event or phenomenon (the ‘why’) than its cause (the ‘how’).

Quantitative Research

Quantitative research study delves into a phenomena through quantitative data collection and using mathematical, statistical and computer-aided tools to measure them . This allows generalised conclusions to be projected over time.

According to the Degree of Manipulation of Variables

Experimental research.

It is about designing or replicating a phenomenon whose variables are manipulated under strictly controlled conditions in order to identify or discover its effect on another independent variable or object. The phenomenon to be studied is measured through study and control groups, and according to the guidelines of the scientific method.

Non-Experimental Research

Also known as an observational study, it focuses on the analysis of a phenomenon in its natural context. As such, the researcher does not intervene directly, but limits their involvement to measuring the variables required for the study. Due to its observational nature, it is often used in descriptive research.

Quasi-Experimental Research

It controls only some variables of the phenomenon under investigation and is therefore not entirely experimental. In this case, the study and the focus group cannot be randomly selected, but are chosen from existing groups or populations . This is to ensure the collected data is relevant and that the knowledge, perspectives and opinions of the population can be incorporated into the study.

According to the Type of Inference

Deductive investigation.

In this type of research, reality is explained by general laws that point to certain conclusions; conclusions are expected to be part of the premise of the research problem and considered correct if the premise is valid and the inductive method is applied correctly.

Inductive Research

In this type of research, knowledge is generated from an observation to achieve a generalisation. It is based on the collection of specific data to develop new theories.

Hypothetical-Deductive Investigation

It is based on observing reality to make a hypothesis, then use deduction to obtain a conclusion and finally verify or reject it through experience.

According to the Time in Which it is Carried Out

Longitudinal study (also referred to as diachronic research).

It is the monitoring of the same event, individual or group over a defined period of time. It aims to track changes in a number of variables and see how they evolve over time. It is often used in medical, psychological and social areas .

Cross-Sectional Study (also referred to as Synchronous Research)

Cross-sectional research design is used to observe phenomena, an individual or a group of research subjects at a given time.

According to The Sources of Information

Primary research.

This fundamental research type is defined by the fact that the data is collected directly from the source, that is, it consists of primary, first-hand information.

Secondary research

Unlike primary research, secondary research is developed with information from secondary sources, which are generally based on scientific literature and other documents compiled by another researcher.

According to How the Data is Obtained

Documentary (cabinet).

Documentary research, or secondary sources, is based on a systematic review of existing sources of information on a particular subject. This type of scientific research is commonly used when undertaking literature reviews or producing a case study.

Field research study involves the direct collection of information at the location where the observed phenomenon occurs.

From Laboratory

Laboratory research is carried out in a controlled environment in order to isolate a dependent variable and establish its relationship with other variables through scientific methods.

Mixed-Method: Documentary, Field and/or Laboratory

Mixed research methodologies combine results from both secondary (documentary) sources and primary sources through field or laboratory research.

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Methodology

Research Methods | Definition, Types, Examples

Research methods are specific procedures for collecting and analysing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.

First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :

Qualitative vs quantitative : Will your data take the form of words or numbers?
Primary vs secondary : Will you collect original data yourself, or will you use data that have already been collected by someone else?
Descriptive vs experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyse the data .

For quantitative data, you can use statistical analysis methods to test relationships between variables.
For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

Methods for collecting data, examples of data collection methods, methods for analysing data, examples of data analysis methods, frequently asked questions about methodology.

Data are the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.

Qualitative vs quantitative data

Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.

For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .

If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .

You can also take a mixed methods approach, where you use both qualitative and quantitative research methods.

Primary vs secondary data

Primary data are any original information that you collect for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary data are information that has already been collected by other researchers (e.g. in a government census or previous scientific studies).

If you are exploring a novel research question, you’ll probably need to collect primary data. But if you want to synthesise existing knowledge, analyse historical trends, or identify patterns on a large scale, secondary data might be a better choice.

Descriptive vs experimental data

In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .

In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .

To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.

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Your data analysis methods will depend on the type of data you collect and how you prepare them for analysis.

Data can often be analysed both quantitatively and qualitatively. For example, survey responses could be analysed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.

Qualitative analysis methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that were collected:

From open-ended survey and interview questions, literature reviews, case studies, and other sources that use text rather than numbers.
Using non-probability sampling methods .

Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions.

Quantitative analysis methods

Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).

You can use quantitative analysis to interpret data that were collected either:

During an experiment.
Using probability sampling methods .

Because the data are collected and analysed in a statistically valid way, the results of quantitative analysis can be easily standardised and shared among researchers.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

The research methods you use depend on the type of data you need to answer your research question .

If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

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The Craft of Writing a Strong Hypothesis

Writing a hypothesis is one of the essential elements of a scientific research paper. It needs to be to the point, clearly communicating what your research is trying to accomplish. A blurry, drawn-out, or complexly-structured hypothesis can confuse your readers. Or worse, the editor and peer reviewers.

A captivating hypothesis is not too intricate. This blog will take you through the process so that, by the end of it, you have a better idea of how to convey your research paper's intent in just one sentence.

What is a Hypothesis?

The first step in your scientific endeavor, a hypothesis, is a strong, concise statement that forms the basis of your research. It is not the same as a thesis statement , which is a brief summary of your research paper .

The sole purpose of a hypothesis is to predict your paper's findings, data, and conclusion. It comes from a place of curiosity and intuition . When you write a hypothesis, you're essentially making an educated guess based on scientific prejudices and evidence, which is further proven or disproven through the scientific method.

The reason for undertaking research is to observe a specific phenomenon. A hypothesis, therefore, lays out what the said phenomenon is. And it does so through two variables, an independent and dependent variable.

The independent variable is the cause behind the observation, while the dependent variable is the effect of the cause. A good example of this is “mixing red and blue forms purple.” In this hypothesis, mixing red and blue is the independent variable as you're combining the two colors at your own will. The formation of purple is the dependent variable as, in this case, it is conditional to the independent variable.

Different Types of Hypotheses‌

Types of hypotheses

Some would stand by the notion that there are only two types of hypotheses: a Null hypothesis and an Alternative hypothesis. While that may have some truth to it, it would be better to fully distinguish the most common forms as these terms come up so often, which might leave you out of context.

Apart from Null and Alternative, there are Complex, Simple, Directional, Non-Directional, Statistical, and Associative and casual hypotheses. They don't necessarily have to be exclusive, as one hypothesis can tick many boxes, but knowing the distinctions between them will make it easier for you to construct your own.

1. Null hypothesis

A null hypothesis proposes no relationship between two variables. Denoted by H 0 , it is a negative statement like “Attending physiotherapy sessions does not affect athletes' on-field performance.” Here, the author claims physiotherapy sessions have no effect on on-field performances. Even if there is, it's only a coincidence.

2. Alternative hypothesis

Considered to be the opposite of a null hypothesis, an alternative hypothesis is donated as H1 or Ha. It explicitly states that the dependent variable affects the independent variable. A good alternative hypothesis example is “Attending physiotherapy sessions improves athletes' on-field performance.” or “Water evaporates at 100 °C. ” The alternative hypothesis further branches into directional and non-directional.

Directional hypothesis: A hypothesis that states the result would be either positive or negative is called directional hypothesis. It accompanies H1 with either the ‘<' or ‘>' sign.
Non-directional hypothesis: A non-directional hypothesis only claims an effect on the dependent variable. It does not clarify whether the result would be positive or negative. The sign for a non-directional hypothesis is ‘≠.'

3. Simple hypothesis

A simple hypothesis is a statement made to reflect the relation between exactly two variables. One independent and one dependent. Consider the example, “Smoking is a prominent cause of lung cancer." The dependent variable, lung cancer, is dependent on the independent variable, smoking.

4. Complex hypothesis

In contrast to a simple hypothesis, a complex hypothesis implies the relationship between multiple independent and dependent variables. For instance, “Individuals who eat more fruits tend to have higher immunity, lesser cholesterol, and high metabolism.” The independent variable is eating more fruits, while the dependent variables are higher immunity, lesser cholesterol, and high metabolism.

5. Associative and casual hypothesis

Associative and casual hypotheses don't exhibit how many variables there will be. They define the relationship between the variables. In an associative hypothesis, changing any one variable, dependent or independent, affects others. In a casual hypothesis, the independent variable directly affects the dependent.

6. Empirical hypothesis

Also referred to as the working hypothesis, an empirical hypothesis claims a theory's validation via experiments and observation. This way, the statement appears justifiable and different from a wild guess.

Say, the hypothesis is “Women who take iron tablets face a lesser risk of anemia than those who take vitamin B12.” This is an example of an empirical hypothesis where the researcher the statement after assessing a group of women who take iron tablets and charting the findings.

7. Statistical hypothesis

The point of a statistical hypothesis is to test an already existing hypothesis by studying a population sample. Hypothesis like “44% of the Indian population belong in the age group of 22-27.” leverage evidence to prove or disprove a particular statement.

Characteristics of a Good Hypothesis

Writing a hypothesis is essential as it can make or break your research for you. That includes your chances of getting published in a journal. So when you're designing one, keep an eye out for these pointers:

A research hypothesis has to be simple yet clear to look justifiable enough.
It has to be testable — your research would be rendered pointless if too far-fetched into reality or limited by technology.
It has to be precise about the results —what you are trying to do and achieve through it should come out in your hypothesis.
A research hypothesis should be self-explanatory, leaving no doubt in the reader's mind.
If you are developing a relational hypothesis, you need to include the variables and establish an appropriate relationship among them.
A hypothesis must keep and reflect the scope for further investigations and experiments.

Separating a Hypothesis from a Prediction

Outside of academia, hypothesis and prediction are often used interchangeably. In research writing, this is not only confusing but also incorrect. And although a hypothesis and prediction are guesses at their core, there are many differences between them.

A hypothesis is an educated guess or even a testable prediction validated through research. It aims to analyze the gathered evidence and facts to define a relationship between variables and put forth a logical explanation behind the nature of events.

Predictions are assumptions or expected outcomes made without any backing evidence. They are more fictionally inclined regardless of where they originate from.

For this reason, a hypothesis holds much more weight than a prediction. It sticks to the scientific method rather than pure guesswork. "Planets revolve around the Sun." is an example of a hypothesis as it is previous knowledge and observed trends. Additionally, we can test it through the scientific method.

Whereas "COVID-19 will be eradicated by 2030." is a prediction. Even though it results from past trends, we can't prove or disprove it. So, the only way this gets validated is to wait and watch if COVID-19 cases end by 2030.

Finally, How to Write a Hypothesis

Quick tips on writing a hypothesis

1. Be clear about your research question

A hypothesis should instantly address the research question or the problem statement. To do so, you need to ask a question. Understand the constraints of your undertaken research topic and then formulate a simple and topic-centric problem. Only after that can you develop a hypothesis and further test for evidence.

2. Carry out a recce

Once you have your research's foundation laid out, it would be best to conduct preliminary research. Go through previous theories, academic papers, data, and experiments before you start curating your research hypothesis. It will give you an idea of your hypothesis's viability or originality.

Making use of references from relevant research papers helps draft a good research hypothesis. SciSpace Discover offers a repository of over 270 million research papers to browse through and gain a deeper understanding of related studies on a particular topic. Additionally, you can use SciSpace Copilot , your AI research assistant, for reading any lengthy research paper and getting a more summarized context of it. A hypothesis can be formed after evaluating many such summarized research papers. Copilot also offers explanations for theories and equations, explains paper in simplified version, allows you to highlight any text in the paper or clip math equations and tables and provides a deeper, clear understanding of what is being said. This can improve the hypothesis by helping you identify potential research gaps.

3. Create a 3-dimensional hypothesis

Variables are an essential part of any reasonable hypothesis. So, identify your independent and dependent variable(s) and form a correlation between them. The ideal way to do this is to write the hypothetical assumption in the ‘if-then' form. If you use this form, make sure that you state the predefined relationship between the variables.

In another way, you can choose to present your hypothesis as a comparison between two variables. Here, you must specify the difference you expect to observe in the results.

4. Write the first draft

Now that everything is in place, it's time to write your hypothesis. For starters, create the first draft. In this version, write what you expect to find from your research.

Clearly separate your independent and dependent variables and the link between them. Don't fixate on syntax at this stage. The goal is to ensure your hypothesis addresses the issue.

5. Proof your hypothesis

After preparing the first draft of your hypothesis, you need to inspect it thoroughly. It should tick all the boxes, like being concise, straightforward, relevant, and accurate. Your final hypothesis has to be well-structured as well.

Research projects are an exciting and crucial part of being a scholar. And once you have your research question, you need a great hypothesis to begin conducting research. Thus, knowing how to write a hypothesis is very important.

Now that you have a firmer grasp on what a good hypothesis constitutes, the different kinds there are, and what process to follow, you will find it much easier to write your hypothesis, which ultimately helps your research.

Now it's easier than ever to streamline your research workflow with SciSpace Discover . Its integrated, comprehensive end-to-end platform for research allows scholars to easily discover, write and publish their research and fosters collaboration.

It includes everything you need, including a repository of over 270 million research papers across disciplines, SEO-optimized summaries and public profiles to show your expertise and experience.

If you found these tips on writing a research hypothesis useful, head over to our blog on Statistical Hypothesis Testing to learn about the top researchers, papers, and institutions in this domain.

Frequently Asked Questions (FAQs)

1. what is the definition of hypothesis.

According to the Oxford dictionary, a hypothesis is defined as “An idea or explanation of something that is based on a few known facts, but that has not yet been proved to be true or correct”.

2. What is an example of hypothesis?

The hypothesis is a statement that proposes a relationship between two or more variables. An example: "If we increase the number of new users who join our platform by 25%, then we will see an increase in revenue."

3. What is an example of null hypothesis?

A null hypothesis is a statement that there is no relationship between two variables. The null hypothesis is written as H0. The null hypothesis states that there is no effect. For example, if you're studying whether or not a particular type of exercise increases strength, your null hypothesis will be "there is no difference in strength between people who exercise and people who don't."

4. What are the types of research?

• Fundamental research

• Applied research

• Qualitative research

• Quantitative research

• Mixed research

• Exploratory research

• Longitudinal research

• Cross-sectional research

• Field research

• Laboratory research

• Fixed research

• Flexible research

• Action research

• Policy research

• Classification research

• Comparative research

• Causal research

• Inductive research

• Deductive research

5. How to write a hypothesis?

• Your hypothesis should be able to predict the relationship and outcome.

• Avoid wordiness by keeping it simple and brief.

• Your hypothesis should contain observable and testable outcomes.

• Your hypothesis should be relevant to the research question.

6. What are the 2 types of hypothesis?

• Null hypotheses are used to test the claim that "there is no difference between two groups of data".

• Alternative hypotheses test the claim that "there is a difference between two data groups".

7. Difference between research question and research hypothesis?

A research question is a broad, open-ended question you will try to answer through your research. A hypothesis is a statement based on prior research or theory that you expect to be true due to your study. Example - Research question: What are the factors that influence the adoption of the new technology? Research hypothesis: There is a positive relationship between age, education and income level with the adoption of the new technology.

8. What is plural for hypothesis?

The plural of hypothesis is hypotheses. Here's an example of how it would be used in a statement, "Numerous well-considered hypotheses are presented in this part, and they are supported by tables and figures that are well-illustrated."

9. What is the red queen hypothesis?

The red queen hypothesis in evolutionary biology states that species must constantly evolve to avoid extinction because if they don't, they will be outcompeted by other species that are evolving. Leigh Van Valen first proposed it in 1973; since then, it has been tested and substantiated many times.

10. Who is known as the father of null hypothesis?

The father of the null hypothesis is Sir Ronald Fisher. He published a paper in 1925 that introduced the concept of null hypothesis testing, and he was also the first to use the term itself.

11. When to reject null hypothesis?

You need to find a significant difference between your two populations to reject the null hypothesis. You can determine that by running statistical tests such as an independent sample t-test or a dependent sample t-test. You should reject the null hypothesis if the p-value is less than 0.05.

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What are Scholarly Sources and Where Can You Find Them?

Scholarly or academic sources of information are typically intended for academic audiences and are primarily based on scientific, evidence-based research and well thought out ideas and theories. They differ from popular or general sources in terms of their formal structure, authority, rigor, and purpose. Scholarly sources are authored by experts whose main purpose is to present research findings. Researchers and academicians typically use scholarly sources as they offer access to a wide array of past work that can be used as references and cited in manuscripts. This is especially crucial given the high level of dependability that scholarly sources provide given that they are peer reviewed in a rigorous manner.

6 types of scholarly sources and its importance in academic writing .

9 ways to identify and access scholarly sources
Where can you find scholarly sources?
How to cite scholarly sources in research with Paperpal?

On the other hand, popular or general sources of information such as magazines and news articles are written for wider and more general audiences. They are mainly written to provide information and to keep readers up to date with current news and developments, to entertain and so on. There is an aspect of research involved but they do not necessarily provide links to citations or sources. Popular sources offer a cross section of views and usually conform to specific ideologies and ways of thinking.

Common types of scholarly sources include the following:

Scholarly books: These are published by a university press or an academic publisher. They also include monographs that synthesize existing research or present new insights and perspectives on a specific subject.
Journal articles: These are published in recognized journals after rigorous peer-reviews.
Conference publications: These consist of papers presented at a conference or seminar. They focus on cutting edge research and are authored and presented by scholars and researchers. Conference proceedings are a good source to understand about new research in the field even before they are published.
Publications issued by government agencies: These include white papers, reports and policy documents issued by research institutions that are tasked with providing the government with accurate data, statistics, and analysis on a wide range of topics.
Websites: Some websites are also considered scholarly sources. To determine if it is a scholarly source it is important to check the domain of the page, and see if the contact information of the author or publisher is provided. It is also a good idea to evaluate the recency of the information provided and assess if there is any possible bias.
Doctoral theses: Written by PhD students as part of their degree requirements, these scholarly sources provide in-depth research on specific topics, and often contribute new ideas and knowledge to different disciplines.

Scholarly sources are important in academic writing as it provides academicians and researchers the required stamp of rigor and reliability when writing manuscripts. When you submit your manuscript or article for publishing with adequate scholarly sources, it instantly gives your work much needed credibility and trustworthiness. Similarly, when one cites relevant, important experts or scholarly sources, it provides a certain authority to one’s submission.

Confirmation bias can be prevented when a researcher or author quotes from scholarly sources. Publications look for papers that cite scholarly sources as they have a legacy that is trusted and also offer views on research topics that are unbiased and original.

9 ways to identify and access scholarly sources

Academicians and researchers should carefully evaluate the sources to identify whether these are scholarly or popular sources. There are some distinct features that differentiate scholarly sources that help academics identify them, as listed below.

Evidence based: Scholarly sources contain data and arguments based on evidence and the information can be verified. A list of references or bibliography is provided in a scholarly publication from which the sources used in it can be verified.
Author credentials: For every scholarly source the name of the author or authors with their institutional affiliations are provided together with their qualifications.
Publisher: Are academic institutions, university presses or commercial publishers.
Target audience: Scholarly publications are intended for academicians, experts, students, researchers, and faculty in the specific or inter-related field.
Language: Scholarly sources follow the academic style of writing with the use of discipline specific terminology and academic terms. The language is specialized and not simple.
Purpose: The purpose of scholarly sources is to communicate findings of original research studies and advance knowledge in the field of study.
Bias: As scholarly publications base their information on evidence and facts, it strives to be free from bias.
Structure: Scholarly publications are well structured with an abstract, introduction, literature review, sections on methodology, results, and conclusion. They also contain in-text citations and a list of references or a comprehensive bibliography at the end.
Peer review: Scholarly sources generally undergo a strict peer review process. The peer review is conducted by different experts in the field. However, there may be some articles that may be considered scholarly even when these are not peer reviewed.

Where can you find scholarly sources?

While writing academic and research papers, it is vital to use and cite scholarly sources. In order to access scholarly sources, researchers can use the following ways:

Institution’s library: an ideal place to access scholarly sources is your institution’s library. Find out the books, journals, databases that your institution’s library provides access to.
Database: you can consult credible research databases. Your institution library may provide access to reliable databases. You can also browse through digital libraries.
Reputed publisher: Identify books that are published by press associated with universities and reputed publishing companies as these are considered credible and trustworthy.
Peer reviewed articles: Browsing through peer reviewed articles in reputed and high impact journals is also another way to access scholarly sources.

How to cite scholarly sources in research with Paperpal?

Researchers typically write by searching for existing information and then conduct their study. They then write their paper, but often discover something new they want to explore. This means going back to find more information to make sure their ideas are well-supported.

Doing research this way involves looking in many places for information, choosing the best sources, and checking if they are trustworthy. It can be slow and tricky to know what information to trust. On top of that, researchers often need to dig deeper while they write to find opposing viewpoints that make their arguments stronger.

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Research Feature: Once you sign up/log in , you’ll notice that the Research feature in Paperpal has two parts: Search and Citation Library.
Search: You can submit your query and get accurate insights from over 250 million research articles with verified sources.
Citation Library: Below the AI response, you’ll find references. You can add these references to your Citation Library to keep track of new sources.
Citing Sources: You can cite a source using numbers, where each number corresponds to a particular source in the list of references in your text. Alternatively, you can cite using the first/last author of the source mentioned in the list of references.

Now that you’ve explored what scholarly sources are and where to find them, you’re well on your way to strengthening your research and writing. Remember, using credible sources adds weight to your arguments and demonstrates the depth of your knowledge.

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How to Write a Hypothesis? Types and Examples

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Open access
Published: 18 April 2024

Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research

James Shaw 1 , 13 ,
Joseph Ali 2 , 3 ,
Caesar A. Atuire 4 , 5 ,
Phaik Yeong Cheah 6 ,
Armando Guio Español 7 ,
Judy Wawira Gichoya 8 ,
Adrienne Hunt 9 ,
Daudi Jjingo 10 ,
Katherine Littler 9 ,
Daniela Paolotti 11 &
Effy Vayena 12

BMC Medical Ethics volume 25 , Article number: 46 ( 2024 ) Cite this article

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The ethical governance of Artificial Intelligence (AI) in health care and public health continues to be an urgent issue for attention in policy, research, and practice. In this paper we report on central themes related to challenges and strategies for promoting ethics in research involving AI in global health, arising from the Global Forum on Bioethics in Research (GFBR), held in Cape Town, South Africa in November 2022.

The GFBR is an annual meeting organized by the World Health Organization and supported by the Wellcome Trust, the US National Institutes of Health, the UK Medical Research Council (MRC) and the South African MRC. The forum aims to bring together ethicists, researchers, policymakers, research ethics committee members and other actors to engage with challenges and opportunities specifically related to research ethics. In 2022 the focus of the GFBR was “Ethics of AI in Global Health Research”. The forum consisted of 6 case study presentations, 16 governance presentations, and a series of small group and large group discussions. A total of 87 participants attended the forum from 31 countries around the world, representing disciplines of bioethics, AI, health policy, health professional practice, research funding, and bioinformatics. In this paper, we highlight central insights arising from GFBR 2022.

We describe the significance of four thematic insights arising from the forum: (1) Appropriateness of building AI, (2) Transferability of AI systems, (3) Accountability for AI decision-making and outcomes, and (4) Individual consent. We then describe eight recommendations for governance leaders to enhance the ethical governance of AI in global health research, addressing issues such as AI impact assessments, environmental values, and fair partnerships.

Conclusions

The 2022 Global Forum on Bioethics in Research illustrated several innovations in ethical governance of AI for global health research, as well as several areas in need of urgent attention internationally. This summary is intended to inform international and domestic efforts to strengthen research ethics and support the evolution of governance leadership to meet the demands of AI in global health research.

Peer Review reports

Introduction

The ethical governance of Artificial Intelligence (AI) in health care and public health continues to be an urgent issue for attention in policy, research, and practice [ 1 , 2 , 3 ]. Beyond the growing number of AI applications being implemented in health care, capabilities of AI models such as Large Language Models (LLMs) expand the potential reach and significance of AI technologies across health-related fields [ 4 , 5 ]. Discussion about effective, ethical governance of AI technologies has spanned a range of governance approaches, including government regulation, organizational decision-making, professional self-regulation, and research ethics review [ 6 , 7 , 8 ]. In this paper, we report on central themes related to challenges and strategies for promoting ethics in research involving AI in global health research, arising from the Global Forum on Bioethics in Research (GFBR), held in Cape Town, South Africa in November 2022. Although applications of AI for research, health care, and public health are diverse and advancing rapidly, the insights generated at the forum remain highly relevant from a global health perspective. After summarizing important context for work in this domain, we highlight categories of ethical issues emphasized at the forum for attention from a research ethics perspective internationally. We then outline strategies proposed for research, innovation, and governance to support more ethical AI for global health.

In this paper, we adopt the definition of AI systems provided by the Organization for Economic Cooperation and Development (OECD) as our starting point. Their definition states that an AI system is “a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. AI systems are designed to operate with varying levels of autonomy” [ 9 ]. The conceptualization of an algorithm as helping to constitute an AI system, along with hardware, other elements of software, and a particular context of use, illustrates the wide variety of ways in which AI can be applied. We have found it useful to differentiate applications of AI in research as those classified as “AI systems for discovery” and “AI systems for intervention”. An AI system for discovery is one that is intended to generate new knowledge, for example in drug discovery or public health research in which researchers are seeking potential targets for intervention, innovation, or further research. An AI system for intervention is one that directly contributes to enacting an intervention in a particular context, for example informing decision-making at the point of care or assisting with accuracy in a surgical procedure.

The mandate of the GFBR is to take a broad view of what constitutes research and its regulation in global health, with special attention to bioethics in Low- and Middle- Income Countries. AI as a group of technologies demands such a broad view. AI development for health occurs in a variety of environments, including universities and academic health sciences centers where research ethics review remains an important element of the governance of science and innovation internationally [ 10 , 11 ]. In these settings, research ethics committees (RECs; also known by different names such as Institutional Review Boards or IRBs) make decisions about the ethical appropriateness of projects proposed by researchers and other institutional members, ultimately determining whether a given project is allowed to proceed on ethical grounds [ 12 ].

However, research involving AI for health also takes place in large corporations and smaller scale start-ups, which in some jurisdictions fall outside the scope of research ethics regulation. In the domain of AI, the question of what constitutes research also becomes blurred. For example, is the development of an algorithm itself considered a part of the research process? Or only when that algorithm is tested under the formal constraints of a systematic research methodology? In this paper we take an inclusive view, in which AI development is included in the definition of research activity and within scope for our inquiry, regardless of the setting in which it takes place. This broad perspective characterizes the approach to “research ethics” we take in this paper, extending beyond the work of RECs to include the ethical analysis of the wide range of activities that constitute research as the generation of new knowledge and intervention in the world.

Ethical governance of AI in global health

The ethical governance of AI for global health has been widely discussed in recent years. The World Health Organization (WHO) released its guidelines on ethics and governance of AI for health in 2021, endorsing a set of six ethical principles and exploring the relevance of those principles through a variety of use cases. The WHO guidelines also provided an overview of AI governance, defining governance as covering “a range of steering and rule-making functions of governments and other decision-makers, including international health agencies, for the achievement of national health policy objectives conducive to universal health coverage.” (p. 81) The report usefully provided a series of recommendations related to governance of seven domains pertaining to AI for health: data, benefit sharing, the private sector, the public sector, regulation, policy observatories/model legislation, and global governance. The report acknowledges that much work is yet to be done to advance international cooperation on AI governance, especially related to prioritizing voices from Low- and Middle-Income Countries (LMICs) in global dialogue.

One important point emphasized in the WHO report that reinforces the broader literature on global governance of AI is the distribution of responsibility across a wide range of actors in the AI ecosystem. This is especially important to highlight when focused on research for global health, which is specifically about work that transcends national borders. Alami et al. (2020) discussed the unique risks raised by AI research in global health, ranging from the unavailability of data in many LMICs required to train locally relevant AI models to the capacity of health systems to absorb new AI technologies that demand the use of resources from elsewhere in the system. These observations illustrate the need to identify the unique issues posed by AI research for global health specifically, and the strategies that can be employed by all those implicated in AI governance to promote ethically responsible use of AI in global health research.

RECs and the regulation of research involving AI

RECs represent an important element of the governance of AI for global health research, and thus warrant further commentary as background to our paper. Despite the importance of RECs, foundational questions have been raised about their capabilities to accurately understand and address ethical issues raised by studies involving AI. Rahimzadeh et al. (2023) outlined how RECs in the United States are under-prepared to align with recent federal policy requiring that RECs review data sharing and management plans with attention to the unique ethical issues raised in AI research for health [ 13 ]. Similar research in South Africa identified variability in understanding of existing regulations and ethical issues associated with health-related big data sharing and management among research ethics committee members [ 14 , 15 ]. The effort to address harms accruing to groups or communities as opposed to individuals whose data are included in AI research has also been identified as a unique challenge for RECs [ 16 , 17 ]. Doerr and Meeder (2022) suggested that current regulatory frameworks for research ethics might actually prevent RECs from adequately addressing such issues, as they are deemed out of scope of REC review [ 16 ]. Furthermore, research in the United Kingdom and Canada has suggested that researchers using AI methods for health tend to distinguish between ethical issues and social impact of their research, adopting an overly narrow view of what constitutes ethical issues in their work [ 18 ].

The challenges for RECs in adequately addressing ethical issues in AI research for health care and public health exceed a straightforward survey of ethical considerations. As Ferretti et al. (2021) contend, some capabilities of RECs adequately cover certain issues in AI-based health research, such as the common occurrence of conflicts of interest where researchers who accept funds from commercial technology providers are implicitly incentivized to produce results that align with commercial interests [ 12 ]. However, some features of REC review require reform to adequately meet ethical needs. Ferretti et al. outlined weaknesses of RECs that are longstanding and those that are novel to AI-related projects, proposing a series of directions for development that are regulatory, procedural, and complementary to REC functionality. The work required on a global scale to update the REC function in response to the demands of research involving AI is substantial.

These issues take greater urgency in the context of global health [ 19 ]. Teixeira da Silva (2022) described the global practice of “ethics dumping”, where researchers from high income countries bring ethically contentious practices to RECs in low-income countries as a strategy to gain approval and move projects forward [ 20 ]. Although not yet systematically documented in AI research for health, risk of ethics dumping in AI research is high. Evidence is already emerging of practices of “health data colonialism”, in which AI researchers and developers from large organizations in high-income countries acquire data to build algorithms in LMICs to avoid stricter regulations [ 21 ]. This specific practice is part of a larger collection of practices that characterize health data colonialism, involving the broader exploitation of data and the populations they represent primarily for commercial gain [ 21 , 22 ]. As an additional complication, AI algorithms trained on data from high-income contexts are unlikely to apply in straightforward ways to LMIC settings [ 21 , 23 ]. In the context of global health, there is widespread acknowledgement about the need to not only enhance the knowledge base of REC members about AI-based methods internationally, but to acknowledge the broader shifts required to encourage their capabilities to more fully address these and other ethical issues associated with AI research for health [ 8 ].

Although RECs are an important part of the story of the ethical governance of AI for global health research, they are not the only part. The responsibilities of supra-national entities such as the World Health Organization, national governments, organizational leaders, commercial AI technology providers, health care professionals, and other groups continue to be worked out internationally. In this context of ongoing work, examining issues that demand attention and strategies to address them remains an urgent and valuable task.

The GFBR is an annual meeting organized by the World Health Organization and supported by the Wellcome Trust, the US National Institutes of Health, the UK Medical Research Council (MRC) and the South African MRC. The forum aims to bring together ethicists, researchers, policymakers, REC members and other actors to engage with challenges and opportunities specifically related to research ethics. Each year the GFBR meeting includes a series of case studies and keynotes presented in plenary format to an audience of approximately 100 people who have applied and been competitively selected to attend, along with small-group breakout discussions to advance thinking on related issues. The specific topic of the forum changes each year, with past topics including ethical issues in research with people living with mental health conditions (2021), genome editing (2019), and biobanking/data sharing (2018). The forum is intended to remain grounded in the practical challenges of engaging in research ethics, with special interest in low resource settings from a global health perspective. A post-meeting fellowship scheme is open to all LMIC participants, providing a unique opportunity to apply for funding to further explore and address the ethical challenges that are identified during the meeting.

In 2022, the focus of the GFBR was “Ethics of AI in Global Health Research”. The forum consisted of 6 case study presentations (both short and long form) reporting on specific initiatives related to research ethics and AI for health, and 16 governance presentations (both short and long form) reporting on actual approaches to governing AI in different country settings. A keynote presentation from Professor Effy Vayena addressed the topic of the broader context for AI ethics in a rapidly evolving field. A total of 87 participants attended the forum from 31 countries around the world, representing disciplines of bioethics, AI, health policy, health professional practice, research funding, and bioinformatics. The 2-day forum addressed a wide range of themes. The conference report provides a detailed overview of each of the specific topics addressed while a policy paper outlines the cross-cutting themes (both documents are available at the GFBR website: https://www.gfbr.global/past-meetings/16th-forum-cape-town-south-africa-29-30-november-2022/ ). As opposed to providing a detailed summary in this paper, we aim to briefly highlight central issues raised, solutions proposed, and the challenges facing the research ethics community in the years to come.

In this way, our primary aim in this paper is to present a synthesis of the challenges and opportunities raised at the GFBR meeting and in the planning process, followed by our reflections as a group of authors on their significance for governance leaders in the coming years. We acknowledge that the views represented at the meeting and in our results are a partial representation of the universe of views on this topic; however, the GFBR leadership invested a great deal of resources in convening a deeply diverse and thoughtful group of researchers and practitioners working on themes of bioethics related to AI for global health including those based in LMICs. We contend that it remains rare to convene such a strong group for an extended time and believe that many of the challenges and opportunities raised demand attention for more ethical futures of AI for health. Nonetheless, our results are primarily descriptive and are thus not explicitly grounded in a normative argument. We make effort in the Discussion section to contextualize our results by describing their significance and connecting them to broader efforts to reform global health research and practice.

Uniquely important ethical issues for AI in global health research

Presentations and group dialogue over the course of the forum raised several issues for consideration, and here we describe four overarching themes for the ethical governance of AI in global health research. Brief descriptions of each issue can be found in Table 1 . Reports referred to throughout the paper are available at the GFBR website provided above.

The first overarching thematic issue relates to the appropriateness of building AI technologies in response to health-related challenges in the first place. Case study presentations referred to initiatives where AI technologies were highly appropriate, such as in ear shape biometric identification to more accurately link electronic health care records to individual patients in Zambia (Alinani Simukanga). Although important ethical issues were raised with respect to privacy, trust, and community engagement in this initiative, the AI-based solution was appropriately matched to the challenge of accurately linking electronic records to specific patient identities. In contrast, forum participants raised questions about the appropriateness of an initiative using AI to improve the quality of handwashing practices in an acute care hospital in India (Niyoshi Shah), which led to gaming the algorithm. Overall, participants acknowledged the dangers of techno-solutionism, in which AI researchers and developers treat AI technologies as the most obvious solutions to problems that in actuality demand much more complex strategies to address [ 24 ]. However, forum participants agreed that RECs in different contexts have differing degrees of power to raise issues of the appropriateness of an AI-based intervention.

The second overarching thematic issue related to whether and how AI-based systems transfer from one national health context to another. One central issue raised by a number of case study presentations related to the challenges of validating an algorithm with data collected in a local environment. For example, one case study presentation described a project that would involve the collection of personally identifiable data for sensitive group identities, such as tribe, clan, or religion, in the jurisdictions involved (South Africa, Nigeria, Tanzania, Uganda and the US; Gakii Masunga). Doing so would enable the team to ensure that those groups were adequately represented in the dataset to ensure the resulting algorithm was not biased against specific community groups when deployed in that context. However, some members of these communities might desire to be represented in the dataset, whereas others might not, illustrating the need to balance autonomy and inclusivity. It was also widely recognized that collecting these data is an immense challenge, particularly when historically oppressive practices have led to a low-trust environment for international organizations and the technologies they produce. It is important to note that in some countries such as South Africa and Rwanda, it is illegal to collect information such as race and tribal identities, re-emphasizing the importance for cultural awareness and avoiding “one size fits all” solutions.

The third overarching thematic issue is related to understanding accountabilities for both the impacts of AI technologies and governance decision-making regarding their use. Where global health research involving AI leads to longer-term harms that might fall outside the usual scope of issues considered by a REC, who is to be held accountable, and how? This question was raised as one that requires much further attention, with law being mixed internationally regarding the mechanisms available to hold researchers, innovators, and their institutions accountable over the longer term. However, it was recognized in breakout group discussion that many jurisdictions are developing strong data protection regimes related specifically to international collaboration for research involving health data. For example, Kenya’s Data Protection Act requires that any internationally funded projects have a local principal investigator who will hold accountability for how data are shared and used [ 25 ]. The issue of research partnerships with commercial entities was raised by many participants in the context of accountability, pointing toward the urgent need for clear principles related to strategies for engagement with commercial technology companies in global health research.

The fourth and final overarching thematic issue raised here is that of consent. The issue of consent was framed by the widely shared recognition that models of individual, explicit consent might not produce a supportive environment for AI innovation that relies on the secondary uses of health-related datasets to build AI algorithms. Given this recognition, approaches such as community oversight of health data uses were suggested as a potential solution. However, the details of implementing such community oversight mechanisms require much further attention, particularly given the unique perspectives on health data in different country settings in global health research. Furthermore, some uses of health data do continue to require consent. One case study of South Africa, Nigeria, Kenya, Ethiopia and Uganda suggested that when health data are shared across borders, individual consent remains necessary when data is transferred from certain countries (Nezerith Cengiz). Broader clarity is necessary to support the ethical governance of health data uses for AI in global health research.

Recommendations for ethical governance of AI in global health research

Dialogue at the forum led to a range of suggestions for promoting ethical conduct of AI research for global health, related to the various roles of actors involved in the governance of AI research broadly defined. The strategies are written for actors we refer to as “governance leaders”, those people distributed throughout the AI for global health research ecosystem who are responsible for ensuring the ethical and socially responsible conduct of global health research involving AI (including researchers themselves). These include RECs, government regulators, health care leaders, health professionals, corporate social accountability officers, and others. Enacting these strategies would bolster the ethical governance of AI for global health more generally, enabling multiple actors to fulfill their roles related to governing research and development activities carried out across multiple organizations, including universities, academic health sciences centers, start-ups, and technology corporations. Specific suggestions are summarized in Table 2 .

First, forum participants suggested that governance leaders including RECs, should remain up to date on recent advances in the regulation of AI for health. Regulation of AI for health advances rapidly and takes on different forms in jurisdictions around the world. RECs play an important role in governance, but only a partial role; it was deemed important for RECs to acknowledge how they fit within a broader governance ecosystem in order to more effectively address the issues within their scope. Not only RECs but organizational leaders responsible for procurement, researchers, and commercial actors should all commit to efforts to remain up to date about the relevant approaches to regulating AI for health care and public health in jurisdictions internationally. In this way, governance can more adequately remain up to date with advances in regulation.

Second, forum participants suggested that governance leaders should focus on ethical governance of health data as a basis for ethical global health AI research. Health data are considered the foundation of AI development, being used to train AI algorithms for various uses [ 26 ]. By focusing on ethical governance of health data generation, sharing, and use, multiple actors will help to build an ethical foundation for AI development among global health researchers.

Third, forum participants believed that governance processes should incorporate AI impact assessments where appropriate. An AI impact assessment is the process of evaluating the potential effects, both positive and negative, of implementing an AI algorithm on individuals, society, and various stakeholders, generally over time frames specified in advance of implementation [ 27 ]. Although not all types of AI research in global health would warrant an AI impact assessment, this is especially relevant for those studies aiming to implement an AI system for intervention into health care or public health. Organizations such as RECs can use AI impact assessments to boost understanding of potential harms at the outset of a research project, encouraging researchers to more deeply consider potential harms in the development of their study.

Fourth, forum participants suggested that governance decisions should incorporate the use of environmental impact assessments, or at least the incorporation of environment values when assessing the potential impact of an AI system. An environmental impact assessment involves evaluating and anticipating the potential environmental effects of a proposed project to inform ethical decision-making that supports sustainability [ 28 ]. Although a relatively new consideration in research ethics conversations [ 29 ], the environmental impact of building technologies is a crucial consideration for the public health commitment to environmental sustainability. Governance leaders can use environmental impact assessments to boost understanding of potential environmental harms linked to AI research projects in global health over both the shorter and longer terms.

Fifth, forum participants suggested that governance leaders should require stronger transparency in the development of AI algorithms in global health research. Transparency was considered essential in the design and development of AI algorithms for global health to ensure ethical and accountable decision-making throughout the process. Furthermore, whether and how researchers have considered the unique contexts into which such algorithms may be deployed can be surfaced through stronger transparency, for example in describing what primary considerations were made at the outset of the project and which stakeholders were consulted along the way. Sharing information about data provenance and methods used in AI development will also enhance the trustworthiness of the AI-based research process.

Sixth, forum participants suggested that governance leaders can encourage or require community engagement at various points throughout an AI project. It was considered that engaging patients and communities is crucial in AI algorithm development to ensure that the technology aligns with community needs and values. However, participants acknowledged that this is not a straightforward process. Effective community engagement requires lengthy commitments to meeting with and hearing from diverse communities in a given setting, and demands a particular set of skills in communication and dialogue that are not possessed by all researchers. Encouraging AI researchers to begin this process early and build long-term partnerships with community members is a promising strategy to deepen community engagement in AI research for global health. One notable recommendation was that research funders have an opportunity to incentivize and enable community engagement with funds dedicated to these activities in AI research in global health.

Seventh, forum participants suggested that governance leaders can encourage researchers to build strong, fair partnerships between institutions and individuals across country settings. In a context of longstanding imbalances in geopolitical and economic power, fair partnerships in global health demand a priori commitments to share benefits related to advances in medical technologies, knowledge, and financial gains. Although enforcement of this point might be beyond the remit of RECs, commentary will encourage researchers to consider stronger, fairer partnerships in global health in the longer term.

Eighth, it became evident that it is necessary to explore new forms of regulatory experimentation given the complexity of regulating a technology of this nature. In addition, the health sector has a series of particularities that make it especially complicated to generate rules that have not been previously tested. Several participants highlighted the desire to promote spaces for experimentation such as regulatory sandboxes or innovation hubs in health. These spaces can have several benefits for addressing issues surrounding the regulation of AI in the health sector, such as: (i) increasing the capacities and knowledge of health authorities about this technology; (ii) identifying the major problems surrounding AI regulation in the health sector; (iii) establishing possibilities for exchange and learning with other authorities; (iv) promoting innovation and entrepreneurship in AI in health; and (vi) identifying the need to regulate AI in this sector and update other existing regulations.

Ninth and finally, forum participants believed that the capabilities of governance leaders need to evolve to better incorporate expertise related to AI in ways that make sense within a given jurisdiction. With respect to RECs, for example, it might not make sense for every REC to recruit a member with expertise in AI methods. Rather, it will make more sense in some jurisdictions to consult with members of the scientific community with expertise in AI when research protocols are submitted that demand such expertise. Furthermore, RECs and other approaches to research governance in jurisdictions around the world will need to evolve in order to adopt the suggestions outlined above, developing processes that apply specifically to the ethical governance of research using AI methods in global health.

Research involving the development and implementation of AI technologies continues to grow in global health, posing important challenges for ethical governance of AI in global health research around the world. In this paper we have summarized insights from the 2022 GFBR, focused specifically on issues in research ethics related to AI for global health research. We summarized four thematic challenges for governance related to AI in global health research and nine suggestions arising from presentations and dialogue at the forum. In this brief discussion section, we present an overarching observation about power imbalances that frames efforts to evolve the role of governance in global health research, and then outline two important opportunity areas as the field develops to meet the challenges of AI in global health research.

Dialogue about power is not unfamiliar in global health, especially given recent contributions exploring what it would mean to de-colonize global health research, funding, and practice [ 30 , 31 ]. Discussions of research ethics applied to AI research in global health contexts are deeply infused with power imbalances. The existing context of global health is one in which high-income countries primarily located in the “Global North” charitably invest in projects taking place primarily in the “Global South” while recouping knowledge, financial, and reputational benefits [ 32 ]. With respect to AI development in particular, recent examples of digital colonialism frame dialogue about global partnerships, raising attention to the role of large commercial entities and global financial capitalism in global health research [ 21 , 22 ]. Furthermore, the power of governance organizations such as RECs to intervene in the process of AI research in global health varies widely around the world, depending on the authorities assigned to them by domestic research governance policies. These observations frame the challenges outlined in our paper, highlighting the difficulties associated with making meaningful change in this field.

Despite these overarching challenges of the global health research context, there are clear strategies for progress in this domain. Firstly, AI innovation is rapidly evolving, which means approaches to the governance of AI for health are rapidly evolving too. Such rapid evolution presents an important opportunity for governance leaders to clarify their vision and influence over AI innovation in global health research, boosting the expertise, structure, and functionality required to meet the demands of research involving AI. Secondly, the research ethics community has strong international ties, linked to a global scholarly community that is committed to sharing insights and best practices around the world. This global community can be leveraged to coordinate efforts to produce advances in the capabilities and authorities of governance leaders to meaningfully govern AI research for global health given the challenges summarized in our paper.

Limitations

Our paper includes two specific limitations that we address explicitly here. First, it is still early in the lifetime of the development of applications of AI for use in global health, and as such, the global community has had limited opportunity to learn from experience. For example, there were many fewer case studies, which detail experiences with the actual implementation of an AI technology, submitted to GFBR 2022 for consideration than was expected. In contrast, there were many more governance reports submitted, which detail the processes and outputs of governance processes that anticipate the development and dissemination of AI technologies. This observation represents both a success and a challenge. It is a success that so many groups are engaging in anticipatory governance of AI technologies, exploring evidence of their likely impacts and governing technologies in novel and well-designed ways. It is a challenge that there is little experience to build upon of the successful implementation of AI technologies in ways that have limited harms while promoting innovation. Further experience with AI technologies in global health will contribute to revising and enhancing the challenges and recommendations we have outlined in our paper.

Second, global trends in the politics and economics of AI technologies are evolving rapidly. Although some nations are advancing detailed policy approaches to regulating AI more generally, including for uses in health care and public health, the impacts of corporate investments in AI and political responses related to governance remain to be seen. The excitement around large language models (LLMs) and large multimodal models (LMMs) has drawn deeper attention to the challenges of regulating AI in any general sense, opening dialogue about health sector-specific regulations. The direction of this global dialogue, strongly linked to high-profile corporate actors and multi-national governance institutions, will strongly influence the development of boundaries around what is possible for the ethical governance of AI for global health. We have written this paper at a point when these developments are proceeding rapidly, and as such, we acknowledge that our recommendations will need updating as the broader field evolves.

Ultimately, coordination and collaboration between many stakeholders in the research ethics ecosystem will be necessary to strengthen the ethical governance of AI in global health research. The 2022 GFBR illustrated several innovations in ethical governance of AI for global health research, as well as several areas in need of urgent attention internationally. This summary is intended to inform international and domestic efforts to strengthen research ethics and support the evolution of governance leadership to meet the demands of AI in global health research.

Data availability

All data and materials analyzed to produce this paper are available on the GFBR website: https://www.gfbr.global/past-meetings/16th-forum-cape-town-south-africa-29-30-november-2022/ .

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Acknowledgements

We would like to acknowledge the outstanding contributions of the attendees of GFBR 2022 in Cape Town, South Africa. This paper is authored by members of the GFBR 2022 Planning Committee. We would like to acknowledge additional members Tamra Lysaght, National University of Singapore, and Niresh Bhagwandin, South African Medical Research Council, for their input during the planning stages and as reviewers of the applications to attend the Forum.

This work was supported by Wellcome [222525/Z/21/Z], the US National Institutes of Health, the UK Medical Research Council (part of UK Research and Innovation), and the South African Medical Research Council through funding to the Global Forum on Bioethics in Research.

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Caesar A. Atuire

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JS led the writing, contributed to conceptualization and analysis, critically reviewed and provided feedback on drafts of this paper, and provided final approval of the paper. JA contributed to conceptualization and analysis, critically reviewed and provided feedback on drafts of this paper, and provided final approval of the paper. CA contributed to conceptualization and analysis, critically reviewed and provided feedback on drafts of this paper, and provided final approval of the paper. PYC contributed to conceptualization and analysis, critically reviewed and provided feedback on drafts of this paper, and provided final approval of the paper. AE contributed to conceptualization and analysis, critically reviewed and provided feedback on drafts of this paper, and provided final approval of the paper. JWG contributed to conceptualization and analysis, critically reviewed and provided feedback on drafts of this paper, and provided final approval of the paper. AH contributed to conceptualization and analysis, critically reviewed and provided feedback on drafts of this paper, and provided final approval of the paper. DJ contributed to conceptualization and analysis, critically reviewed and provided feedback on drafts of this paper, and provided final approval of the paper. KL contributed to conceptualization and analysis, critically reviewed and provided feedback on drafts of this paper, and provided final approval of the paper. DP contributed to conceptualization and analysis, critically reviewed and provided feedback on drafts of this paper, and provided final approval of the paper. EV contributed to conceptualization and analysis, critically reviewed and provided feedback on drafts of this paper, and provided final approval of the paper.

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Shaw, J., Ali, J., Atuire, C.A. et al. Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research. BMC Med Ethics 25 , 46 (2024). https://doi.org/10.1186/s12910-024-01044-w

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DOI : https://doi.org/10.1186/s12910-024-01044-w

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Stack of paper. Image Credit: Shutterstock.com/Nomad_Soul

52 Types of Paper

Paper, an integral part of human civilization, evolved over many centuries and has served a variety of purposes beyond mere writing. The world of paper encompasses a vast array of types that are tailored to satisfy specific needs and applications.

This article will discuss 52 types of papers, exploring their characteristics, advantages, drawbacks, and costs.

.css-2xf3ee{font-size:0.6em;margin-left:-2em;position:absolute;color:#22445F;} .css-14nvrlq{display:inline-block;line-height:1;height:1em;background-color:currentColor;-webkit-mask:url(https://assets.xometry.com/fontawesome-pro/v6/svgs/light/link.svg) no-repeat center/contain content-box;mask:url(https://assets.xometry.com/fontawesome-pro/v6/svgs/light/link.svg) no-repeat center/contain content-box;-webkit-mask:url(https://assets.xometry.com/fontawesome-pro/v6/svgs/light/link.svg) no-repeat center/contain content-box;aspect-ratio:640/512;vertical-align:-15%;}.css-14nvrlq:before{content:"";} 1. Wallpaper

Wallpaper is a decorative type of paper used to enhance the visual appeal of interior walls. A big advantage of wallpaper is its customizable nature and extensive range of design possibilities, making it suitable for many different environments and styles. Disadvantages of wallpaper are that its installation is labor intensive, and its removal may damage the wall. The cost of wallpaper varies based on its design and quality of fabrication.

2. Graph Paper

Graph paper is a type of paper with a grid of horizontal and vertical lines. It is used to make it easier to plot mathematical functions, to facilitate drawing diagrams, and to provide an easy way to neatly order the steps of computations. Graph paper is commonly employed in educational, mathematical, or engineering environments. Graph paper’s grid lines are a big advantage since they make plotting diagrams easy. However, its disadvantages include limited use beyond drawing diagrams and note-taking. Graph paper is cost-effective and easily accessible.

3. Parchment Paper

Parchment paper is a type treated with sulfuric acid or zinc chloride to give it a smooth, nonstick surface. It can also refer to an obsolete type that documents like the Declaration of Independence were written on. In today’s use, parchment paper is frequently employed in cooking, where its nonstick properties make it a viable alternative to cooking oil in some situations. Key advantages include its nonstick performance and ease of use, while disadvantages include environmental considerations due to chemicals leaching into the environment upon disposal.

4. Wrapping Paper

Wrapping paper is an ornamental type of paper that is used to cover gifts for special occasions such as birthdays or holidays. It is lightweight and covers a myriad of design choices, though the fact that it is intended as a single-use, disposable product is a disadvantage. Wrapping paper is affordable. Its cost depends on the quality and design of the paper.

5. Cardstock

Cardstock, a thick and durable type of paper, is known for its heavy weight. Because of these properties, cardstock is often used for greeting cards, invitations, postcards, playing cards, business cards, and more. Its durability is an advantage while its lack of flexibility is a disadvantage. Cardstock is still inexpensive but typically costs more than other types of paper such as tissue or copy paper.

6. Butcher Paper

Butcher paper is used to wrap meats like: beef, pork, poultry, fish, and more. Its thickness, durability, and waterproof coating make it useful for wrapping meats, but it has limited use outside of that application since the waterproof coating affects printing capability. Butcher paper is affordable and widely available.

7. Tissue Paper

Tissue paper is a type of paper that is characterized by its thinness, softness, light weight, and ornamental potential. Because of these characteristics, tissue paper is often used to wrap and protect gifts and fragile objects with an elegant presentation. Another common use is facial tissue or toilet paper. Its light weight and ability to conform to irregular surfaces are advantages, but it can be easily torn. Tissue paper is cheap compared to other types of paper.

8. Construction Paper

Construction paper is a popular type of paper used for arts and crafts. It comes in a variety of colors and is known for its thickness compared to copy paper, its flexibility, and versatility. Despite these advantages, a disadvantage of construction paper is its rough texture which makes it less than ideal for printing, and its brittleness compared to other types of paper.. Construction paper is widely accessible and affordable.

9. Watercolor Paper

Watercolor paper is a paper type that is commonly used in art and comes in hot-pressed and cold-pressed varieties. The difference between the varieties is in their texture — cold-pressed has a textured surface, while hot-pressed has a smooth surface. An advantage of watercolor paper is that it absorbs water well, which makes it useful for watercolor painting. Limitations include the expensive price compared to other types of paper and limited use beyond watercolor painting.

10. Wax Paper

Wax paper consists of layers of tissue paper that are coated with food-grade paraffin wax. This makes it useful for nonstick cooking applications and moisture resistance. Parchment paper has a similar function, but compared to parchment paper, wax paper is cheaper and less tolerant of high temperatures.

11. Crepe Paper

Crepe paper is another type of ornamental paper that is used in crafts and gift wrapping. It is similar to tissue paper in that it is thin and comes in a variety of colors and textures. This makes it commonly used for decorating parties or special occasions or for wrapping gifts. However, crepe paper is easily torn and has limited use outside of its ornamental value.

12. Vellum Paper

Vellum, a translucent paper, is favored by scrapbook makers and card artists for its appearance, elegant texture, and capacity for creative endeavors. Initially crafted from lambskin or calfskin, modern vellum imitations are composed of cotton and come in, off-white varieties in varying weights. Despite its appeal, caution is advised when handling vellum for crafts due to its tendency to smudge and crease easily.

13. Copy Paper

Copy paper serves the purpose of document copying and printing and is typically available in standard legal and letter sizes. Copy paper is versatile and can be used for a variety of applications — from printing official documents to sketching — due to its moderate weight. Advantages of copy paper include its widespread availability and low price, but a major disadvantage is that its thickness may not be ideal for certain applications, like printing photos.

14. Sandpaper

Sandpaper is a heavy-duty paper with abrasive bonded to it and is characterized by its diverse range of grit sizes. It is commonly utilized to alter the surface textures of wood, plastic, drywall, metal, and other materials by removing, smoothing, or roughing surfaces. The grit size numbering system assigns low numbers to more coarse abrasives, while high numbers denote finer abrasive textures. Sandpaper’s ability to alter surfaces is an advantage, although a disadvantage is the risk of damaging delicate surfaces. Sandpaper is affordable but more often more expensive than other types such as copy paper and tissue paper.

15. Litmus Paper

Impregnated with dyes extracted from lichens, litmus paper undergoes color changes based on the pH level of any solution it contacts. This property allows for quick assessment of the pH level of various liquids. Its rapid response time is a notable advantage, although it may lack precision in determining specific acidity or alkalinity levels. Litmus paper is a specialized type of paper that is cost-effective over time given the price of test strips. A pack of 100 test strips can be purchased for less than $5.

16. Tracing Paper

Thin and translucent, tracing paper serves as an ideal medium for replicating patterns for design and artwork. Its lightweight construction and translucent appearance contribute to its preferred use in artwork, though, like tissue paper, it is susceptible to ripping. Tracing paper allows a user to precisely copy designs and drawings, facilitating the creation of intricate artwork or precise patterns in a variety of projects. Tracing paper is relatively inexpensive. A 1’ wide by 150’ long roll can be purchased for roughly $15.

17. Photo Paper

Photo paper has special design features to enable it to accurately reproduce images. Photo paper is thicker and heavier than copy paper and has specialty surface coatings composed of various polymers or resins that make it ideal for use in photography where it bolsters the image quality of photos. Despite its advantages for optimizing image quality, photo paper can be expensive and is seldom used for other applications. For example, 20 sheets of letter-sized photo paper cost roughly $10.

18. Printing Paper

Printing paper is a versatile paper type that encompasses a range of types tailored for various commercial purposes. Uses of printing paper include: books, magazines, newspapers, office documents, and more. Each type of printing paper has distinct characteristics such as varying weight or surface texture that make it suitable for different applications. The advantage of printer paper lies in its versatility and compatibility with various printing devices. However, this versatility means that it does not offer the same excellent results as specialized papers made for specific applications, such as photo printing or greeting cards.

19. Blotting Paper

A convenient accessory in calligraphy, blotting paper is a type of paper known for its absorbency and smudge prevention. Blotting paper is porous and easily absorbs extra oil or ink when doing calligraphy. This trait is a well-known advantage. However, a big disadvantage of blotting paper is its limited thickness.

20. Kraft Paper

Kraft paper, manufactured from wood pulp, is typically brown and is known for its tear resistance. Its strength and versatility make it a popular choice for food packaging, envelopes, and paper bags. It is both flexible and strong which makes it ideal for various packaging applications. However, one disadvantage of kraft paper is that it becomes weak when wet.

21. Bristol Paper

Bristol paper typically refers to drawing paper composed of multiple layers of paper bonded under high pressure between felt rollers. This paper type offers a sturdy surface for artistic endeavors without the need for additional mounting. Outside of drawing and painting, Bristol paper can also fulfill many of the same uses as cardstock.

22. Linen Paper

Linen paper is a type used for “fine stationery.” It is often used for elegant certificates, wedding invitations, restaurant menus, resumes, and more. Its aesthetic appeal and resemblance to linen fabric is an advantage. However, it is expensive compared to other types of paper.

23. Manila Paper

Crafted from partly bleached wood fibers, manila paper finds extensive use in businesses as document storage folders and in art for many of the same applications as cardstock or paperboard. Compared to these two types of paper, manila paper is the lighter, more pliable, and more cost-effective option. However, its pigmented appearance may be aesthetically undesirable for some applications.

24. Thermal Paper

Thermal paper is a unique type of paper that changes color as heat is applied due to heat-sensitive dyes present in its composition. Thermal paper is often used in point-of-sale terminals commonly seen in retail and food-service environments or financial institutions like banks. Thermal paper’s advantages include instant printing without the need for expensive consumables like ink. However, a disadvantage is that it fades over time and is not suitable for archival documents.

25. Foil Paper

Foil paper is a unique and lustrous paper type that consists of mylar-coated paper sheets. The malleability of foil paper allows it to easily be bent or wrapped around objects, allowing it to satisfy many uses — from cooking and food storage to packaging to arts and crafts. Advantages include malleability and heat resistance while a big disadvantage is that it is unsuitable for printing.

26. Newsprint

Newsprint is a thin, weak, and not tear-resistant paper variant fabricated from finely ground wood pulp. It is commonly employed in the printing of newspapers, magazines, and other publications. Newsprint is characterized by its affordability, light weight, and availability in multiple grades that are often used for advertisements and or vibrant color photos. The cost-effectiveness, lightweight, and suitability for large-scale printing operations are notable advantages of newsprint paper but disadvantages include brittleness.

27. Filter Paper

Filter paper serves to separate contaminants from liquids or gasses. Its filtering properties originate from the web of fibers that limit the passage of oversized particles. This makes it useful for air filters, coffee filters, oil filters, teabags, and more. The advantages of filter paper are its affordability and filtering capability. However, certain disadvantages include limited compatibility with certain particles that are desired to be filtered. Filter paper is inexpensive.

28. Bond Paper

Bond paper, a premium type of paper, finds widespread use for letterheads, reports, and stationery. Crafted from rag pulp or textiles, it boasts superior strength compared to the majority of paper varieties. However, a big disadvantage is that it can be expensive.

29. Chart Paper

Chart paper is commonly used in the medical or scientific fields. It is a lightweight, lustrous, and heat-sensitive paper that resembles graph paper. Medical diagnostic scans such as EKGs can be printed onto chart paper due to their ability to facilitate organized presentation of content. However, chart paper is expensive and has limited use beyond the specific tasks it was designed for.

30. Mulberry Paper

Mulberry paper is named after the bark of the tree it is fabricated from. Mulberry paper is often textured and available in a variety of weights. Because of its composition and processing, mulberry paper has a distinct finish that features long fibers and irregular, yet attractive, edges. Mulberry paper is often used in traditional papermaking practices, arts and crafts, and is on par in price with other types of art papers, but has limited use outside of the arts.

31. Art Paper

Art paper is a general term used to describe types of paper that are used in many different art endeavors, including: drawing, painting, and printmaking. It is also available in acid-free options, which makes it useful for artists concerned about the longevity of their work. However, one potential drawback is that the quality of art paper may vary depending on the specific brand or type, which can impact its performance for different artistic techniques.

32. Canvas Paper

Canvas paper resembles canvas fabric, and is often employed in painting and other mixed-media artwork. Compared to traditional canvas, it is lighter and thus easier to frame. However, it has less durability than actual canvas and can be relatively expensive compared to actual canvas and other types of art paper.

33. Rag Paper

Rag paper is a high-quality paper type fabricated from cotton or linen fibers. It is often used for fine art and archival documents. Its notable advantages include its longevity and ability to maintain the integrity of documents and artwork over extended periods. However, one potential drawback is its higher cost compared to standard paper options. Additionally, rag paper may have limited availability, particularly in certain sizes or formats, which can pose challenges for specific projects.

34. Archival Paper

Archival paper, a type of rag paper, was developed to guarantee the preservation of the quality of paper documents over time by preventing degradation and discoloration. It is acid-free and manufactured entirely from cotton instead of wood pulp. While this is a desirable advantage of archival paper, it also makes it expensive in comparison to other types of paper.

35. Photographic Paper

Photographic paper is infused with chemicals sensitive to light. These chemicals facilitate the conversion of images into either a color or black-and-white printed image. The photographic paper serves as an excellent choice for individuals aiming to produce photographs suitable for display in printed formats. Additionally, photographic paper comes in multiple finishes. However, it requires specialized printing equipment and can be expensive.

36. Book Paper

Book paper is specifically designed for use in books due to its balance of weight, texture, and ease of printing. From paperbacks and hardcover books to manuals and diaries, book paper is a versatile paper type. The range of book paper varieties is extensive and encompasses thin, lightweight options like Bible paper, to thicker variants utilized in manuals or specific hardcover books, with numerous options available in between. It is affordable and widely available, however it is prone to yellowing over time.

37. Coated Paper

Coated paper is a type of paper that is covered with a gloss or matte layer. This coated layer helps to enhance print quality and paper durability. Additionally, it makes the paper more resistant to ink bleed which is often a challenge when using a rougher type of paper.. A major drawback of coated paper is that it is more expensive than copy paper or bond paper.

38. Greaseproof Paper

Greaseproof paper, also known as butcher paper, is a type of paper specially treated to resist grease and oil. This makes it a popular choice for baking and food packaging. Its advantages include preventing food from sticking and maintaining food freshness. However, it has limited heat resistance. Regarding cost, it falls within the moderate range compared to wax paper and parchment paper on the low end and sandpaper on the upper end.

39. Honeycomb Paper

Honeycomb paper is a type of kraft paper characterized by its lightweight nature and hexagonal cell structure which makes it suitable for packaging, insulation, and crafting purposes. Its advantages include being lightweight, yet remarkably strong. However, it may have limited availability and is typically reserved for specialized applications.

40. Wove Paper

Wove paper is a paper type that is commonly handmade by straining pulp with a wire mesh screen or woven fabric. Its name, wove paper, is attributed to its woven appearance when held against light due to the imprint of the screen used during its fabrication. Wove paper was an early type of paper and is still common today amongst hobbyists and in cultural traditions.

41. Typewriter Paper

Typewriter paper is a type of lightweight paper used for manual typewriters that is seldom used today due to the prevalence of personal computers. The benefits of typewriter paper include the availability of different colors and a specialized type for airmail due to weight considerations.

42. Uncoated Paper

Uncoated paper is similar to copy paper or printer paper but unlike these types of paper, it does not have a matte or glossy top layer. This makes it more prone to absorbing ink, and it has a rougher surface. These traits have both advantages and disadvantages. The capability to absorb more ink makes it more compatible with writing or printing compared to coated paper but also makes it more prone to smudging and having less vibrant printed images.

43. Greeting Card Paper

Greeting card paper is a type of cardstock that is used for special occasions such as: anniversaries, holidays, bereavement, and graduations. Because it is cardstock, greeting paper is heavier and thicker than regular printer paper or copy paper. Its aesthetic appeal and ease of taking on creative designs are advantages, but its lack of flexibility can be limiting. Cardstock is relatively expensive compared to copy paper and printer paper, but cheaper than photo paper.

44. Food Paper

Food paper encompasses other types of paper such as wax paper, parchment paper, and butcher paper. All of these papers are commonly used in cooking applications. Food paper’s characteristics depend on the specific application. For instance, meats are wrapped in butcher paper which is thicker than the wrapping paper used for candy. A big advantage of food paper is that there is a type to fit every need and every food. However, the single-use nature of these paper types can be wasteful.

45. Tobacco Paper

Tobacco paper is a type of thin paper specifically tailored for the manual rolling of cigarettes. Tobacco paper is traditionally composed of wood pulp, but can also be fabricated from cellulose from other plants, such as hemp or rice. Advantages of tobacco paper include minimal taste interference and slow-burning, however, disadvantages include limited use beyond smoking applications.

46. Offset Paper

Offset paper is a medium-weight paper that is wood-free and brighter than copy paper. It is frequently used in large-volume offset printing processes due to its smooth surface texture. While its smooth texture and compatibility with large volume tasks are an advantage, it has limited availability in specialty sizes which poses challenges for specific printing requirements.

47. Envelope Paper

Envelope paper is a type of paper for enclosing and protecting documents or mail during transit or storage. Envelope paper offers security to sensitive documents through an opaque texture printed on its surface and often features an adhesive or clasp for closure. Envelope paper comes in different colors and sizes. Envelope paper is affordable compared to more expensive options like Tyvek envelopes.

48. Acid-Free Paper

Acid-free paper is characterized by its neutral or alkaline pH level, which prevents yellowing and deterioration over time. It is appreciated for its ability to preserve documents, photographs, and artwork — making it a popular choice for archival applications. However, one potential drawback is its higher cost. Overall, the cost of acid-free paper typically falls within the moderate to high range due to its superior quality and preservation properties.

49. Banknote Paper

Banknote paper is a paper type that is often used for printing currency. Commonly composed of cotton and linen, banknote paper is known for its fiber distribution which adds aesthetic appeal to the paper, and watermarks which help to make currency counterfeit-proof.

50. Laid Paper

Laid paper is a type of paper similar to wove paper in that it is created by using a screen. Unlike wove paper, however, the screen used leaves vertical and horizontal ribs on the laid paper due to inadequate absorption of pulp during the fabrication process. Like banknote paper, laid paper is used for currency due to its counterfeit-proof characteristics, but also in ledgers and books.

51. Shoe Paper

Shoe paper is a specially tailored paper used to protect shoes while in transit or storage. It is a thicker type of paper and an effective barrier to scuffs and dust, but its limited use beyond shoe protection is a disadvantage.

52. Post-Consumer Recycled Paper

Post-consumer recycled paper is fabricated from previously used paper that is recycled back into the paper manufacturing process. Breaking the recycled paper back down to pulp requires processes to remove inks and adhesives and then mix it with newly created pulp. Post-consumer recycled paper products find many uses — from copy and printer paper to cardstock and more. This type of paper is often more expensive, 10-25% more, than other types due to the extra processes required to create it.

What Is Paper?

Traditionally, paper is a material composed of cellulose fibers derived from wood, rags, grasses, or other sources, processed into thin sheets. These sheets are then utilized for writing, printing, drawing, packaging, and a multitude of other applications. Generally, paper can also be defined as any thin, flexible material that can be written on, printed on, or used for packaging.

What Are the Considerations When Choosing a Paper Type To Use?

Selecting the appropriate paper type depends on such factors as: its intended use, durability requirements, printing method, and budget constraints. Factors like weight, texture, finish, and composition play crucial roles in decision-making.

What Type of Paper Is Used for Embossing?

Embossing typically requires thicker paper types such as cardstock or Bristol paper, which can withstand the pressure required for embossing without tearing or warping. These papers provide a sturdy base for creating raised designs or patterns.

What Type of Paper Is Used for Laser Engraving?

Laser engraving requires paper that can withstand the intense heat generated by the laser without scorching or igniting. Therefore, coated papers such as cardstock, or specialty laser engraving paper are commonly used for this purpose.

Are There Any Types of Paper That Are Suitable for 3D Printing?

While conventional paper is not suitable for 3D printing due to its lack of structural integrity and flexibility, some specialty papers infused with polymers or other additives can be 3D printed through a type of 3D printing called selective deposition lamination (SDL). SDL consists of bonding successive layers of coated paper together that are cut into the desired shape. However, the use of paper in 3D printing remains limited compared to other materials such as plastics, metals, and resins.

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Assay Validation of Cell-Free DNA Shallow Whole-Genome Sequencing to Determine Tumor Fraction in Advanced Cancers.

Author(s): Rickles-Young M, Tinoco G, Tsuji J, Pollock S, Haynam M, Lefebvre H, Glover K, Owen DH, Collier KA, Ha G, Adalsteinsson VA, Cibulskis C, Lennon NJ, Stover DG

Publication: J Mol Diagn , 2024, Vol. , Page

PubMed ID: 38490303 PubMed Review Paper? No

Purpose of Paper

This paper describes the validation of an ultra low-pass whole genome sequencing (ULP-WGS) assay for identification of tumor fraction in cell-free DNA (cfDNA) and establishes the minimum tumor fraction by comparing results with whole exome sequencing (WES), identifies the minimum cfDNA input required, and investigates assay reproducibility. ULP-WGS metrics and tumor fraction were compared between matched blood specimens collected in Streck and EDTA tubes that were stored for up to 24 h at room temperature before analysis.

Conclusion of Paper

Using the ultra low-pass whole genome sequencing (ULP-WGS) assay, the mean normalized standard deviation (MNSD) of the tumor fraction increased as the tumor fraction fell below 3% but was low among specimens with a tumor fraction above 3% (≤0.54). When the tumor fraction was 3 or 4%, the sensitivity of mutations detected by whole exome sequencing was 97.2-100%. GC-corrected mean absolute deviation (MAD) scores were very similar between the two sequencing instruments and the data did not cluster by instrument during hierarchical clustering. Although the observed tumor fraction was consistent when the input to the ULP-WGS assay was as low as 1 ng DNA, some quality metrics were not met; consequently, the authors suggest the use of at least 20 ng input. Overall, quality metrics (mean depth, library size, or MAD) did not differ between matched specimens that were collected in EDTA and Streck tubes and stored for up to 24 h at room temperature. Tumor fractions were also generally comparable between EDTA and Streck specimens. For the three specimens stored <4 h at room temperature, there was a 4.75% absolute error between the tube types, but the absolute error was 7.9% for the 12 specimens stored 12-24 h. Based on these data, the authors suggest both tubes are acceptable for ULP-WGS and WES and that EDTA tubes can be stored for ≤8 h.

Study Purpose

This study describes the validation of an ultra low-pass whole genome sequencing (ULP-WGS) assay for identification of the tumor fraction of cfDNA and establishes the minimum acceptable tumor fraction by comparing results with whole exome sequencing, identifies minimum cfDNA input and investigates assay reproducibility. ULP-WGS metrics and tumor fraction are compared between blood collected from the same patients into Streck and EDTA tube that were stored for up to 24 h at room temperature before analysis. Unless otherwise specified, blood was collected from thirty-four patients with metastatic breast cancer into EDTA tubes and plasma was separated within 4 h of blood collection by density gradient centrifugation (details not provided). Plasma was then recentrifuged at 19000 g for 10 min and frozen at -80°C until extraction. Plasma was thawed at room temperature, and cfDNA was isolated using the Circulating DNA Kit on the QIAsymphony liquid handling instrument. Ultra low-pass (ULP) shallow whole genome sequencing (WGS) libraries were sequenced using HiSeqX and NovaSeq and data was compared to whole exome sequencing (WES). To investigate linearity with dilution, specimens from 3 patients were used to make 8 dilutions. Repeatability was investigated using six replicate specimens from each of ten patients, and the effects of cfDNA input were investigated using 1, 5, 20, and 50 ng of cfDNA from seven patients. To investigate the effects of tube type and delayed processing, blood was collected from twenty-three patients into EDTA and Streck BCT tubes and stored for <4 (3 patients), 6-8 (8 patients), or 12-24 h (12 patients) at room temperature before plasma separation.

Summary of Findings:

GC-corrected mean absolute deviation (MAD) scores were very similar between the two sequencing instruments (HiSeqX versus NovaSeq) and the data did not cluster by instrument during hierarchical clustering. Through dilution of three specimens, the authors identified an increase in mean normalized standard deviation (MNSD) of the ULP-WGS tumor fraction when the tumor fraction was <3%. When the tumor fraction was 3 or 4% by ULP-WGS, the sensitivity for mutations detected by WES was 97.2-100% both at 1 x depth and when downsampled to 0.1 x depth. For specimens with a tumor fraction >10% and >5% the MNSDs for replicate specimens were <0.19 and <0.35, respectively; for the three specimens with tumor fractions between 3-5%, the MNSD ranged from 0.33-0.54. Overall, quality metrics (mean depth, library size, or MAD) did not differ between matched specimens that were collected in EDTA and Streck tubes and stored for up to 24 h at room temperature. Tumor fractions were generally comparable between EDTA and Streck specimens; however, there was a 4.75% absolute error between tube types for the three specimens stored <4 h at room temperature, and the absolute error increased to 7.9% for the 12 specimens stored for 12-24 h. Based on these data, the authors concluded that both tubes are acceptable and that EDTA tubes can be stored for ≤8 h at room temperature. The observed tumor fraction was consistent when the input amount was as low as 1 ng DNA, but one specimen failed to achieve the desired library size (>4 x 10 7 ), mean depth (>0.25), MAD (<0.20), and coverage per pass filter gigabase (>0.15) when only 1 ng was used. All sequencing metrics were met in all specimens when libraries were constructed from 20 or 50 ng DNA. Based on this, the authors advise using a minimum input amount of 20 ng, but state that 5 ng is acceptable.

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Congress Passed a Bill That Could Ban TikTok. Now Comes the Hard Part.

President Biden has signed the bill to force a sale of the video app or ban it. Now the law faces court challenges, a shortage of qualified buyers and Beijing’s hostility.

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A crowd of people, all holding signs that support TikTok.

By Sapna Maheshwari and David McCabe

Sapna Maheshwari reported from New York, and David McCabe from Washington.

A bill that would force a sale of TikTok by its Chinese owner, ByteDance — or ban it outright — was passed by the Senate on Tuesday and signed into law Wednesday by President Biden.

Now the process is likely to get even more complicated.

Congress passed the measure citing national security concerns because of TikTok’s Chinese ties. Both lawmakers and security experts have said there are risks that the Chinese government could lean on ByteDance for access to sensitive data belonging to its 170 million U.S. users or to spread propaganda.

The law would allow TikTok to continue to operate in the United States if ByteDance sold it within 270 days, or about nine months, a time frame that the president could extend to a year.

The measure is likely to face legal challenges, as well as possible resistance from Beijing, which could block the sale or export of the technology. It’s also unclear who has the resources to buy TikTok, since it will carry a hefty price tag.

The issue could take months or even years to settle, during which the app would probably continue to function for U.S. consumers.

“It’s going to be a royal mess,” said Anupam Chander, a visiting scholar at the Institute for Rebooting Social Media at Harvard and an expert on the global regulation of new technologies.

TikTok pledged to challenge the law. “Rest assured, we aren’t going anywhere,” its chief executive, Shou Chew, said in a video posted to the platform. “We are confident, and we will keep fighting for your rights in the courts.”

Here’s what to expect next.

TikTok’s Day in Court

TikTok is likely to start by challenging the measure in the courts.

“I think that’s the one certainty: There will be litigation,” said Jeff Kosseff, an associate professor of cybersecurity law at the Naval Academy.

TikTok’s case will probably lean on the First Amendment, legal experts said. The company is expected to argue that a forced sale could violate its users’ free speech rights because a new owner could change the app’s content policies and reshape what users are able to freely share on the platform.

“Thankfully, we have a Constitution in this country, and people’s First Amendment rights are very important,” Michael Beckerman, TikTok’s vice president of public policy, said in an interview with a creator on the platform last week. “We’ll continue to fight for you and all the other users on TikTok.”

Other groups, like the American Civil Liberties Union, which has been a vocal opponent of the bill, may also join the legal fight. A spokeswoman for the A.C.L.U. said on Tuesday that the group was still weighing its role in potential litigation challenging the law.

The government will probably need to make a strong case that ByteDance’s ownership of TikTok makes it necessary to limit speech because of national security concerns, the legal experts said.

TikTok already has a strong record in similar First Amendment battles. When he was president, Donald J. Trump tried to force a sale or ban of the app in 2020, but federal judges blocked the effort because it would have had the effect of shutting down a “platform for expressive activity.” Montana tried to ban TikTok in the state last year because of the app’s Chinese ownership, but a different federal judge ruled against the state law for similar reasons.

Only one narrower TikTok restriction has survived a court challenge. The governor of Texas announced a ban of the app on state government devices and networks in 2022 because of its Chinese ownership and related data privacy concerns. Professors at public universities challenged the ban in court last year, saying it blocked them from doing research on the app. A federal judge upheld the state ban in December, finding it was a “reasonable restriction” in light of Texas’ concerns and the narrow scope affecting only state employees.

Small Buyer Pool

Analysts estimate that the price for the U.S. portion of TikTok could be tens of billions of dollars.

ByteDance itself is one of the world’s most valuable start-ups , with an estimated worth of $225 billion, according to CB Insights, a firm that tracks venture capital and start-ups.

The steep price tag would limit the list of who could afford TikTok. Tech giants like Meta or Google would probably be blocked from an acquisition because of antitrust concerns.

Private equity firms or other investors could form a group to raise enough money to buy TikTok. Former Treasury Secretary Steven Mnuchin said in March that he wanted to build such a group. And anyone who can pony up the money still has to pass muster with the U.S. government, which needs to sign off on any purchase.

Few others have expressed public interest in buying the app.

The last time the government tried to force ByteDance to sell TikTok in 2020, the company held talks with Microsoft and the software company Oracle. (Oracle and Walmart ultimately appeared to reach an agreement with ByteDance, but the deal never materialized .)

A Complicated Divestment

Even if TikTok approaches a sale, the process of separating TikTok from ByteDance is likely to be messy.

The legislation prohibits any connection between ByteDance and TikTok after a sale. Yet TikTok employees use ByteDance software in their communications, and the company’s employees are global, with executives in Singapore, Dublin, Los Angeles and Mountain View, Calif.

It’s unclear if ByteDance would consider selling TikTok’s entire global footprint or just its U.S. operations, where the company has nearly 7,000 employees.

Breaking off just the U.S. portion of TikTok could prove particularly challenging. The app's recommendation algorithm, which figures out what users like and serves up content, is key to the success of the app. But Chinese engineers work on that algorithm, which ByteDance owns.

During Mr. Trump’s attempt to force a sale in 2020, the Chinese government issued export restrictions that appeared to require its regulators to grant permission before ByteDance algorithms could be sold or licensed to outsiders.

The uncertainty around the export of the algorithm and other ByteDance technology could also deter interested buyers.

China’s Unpredictable Role

The Chinese government could also try to block a TikTok sale.

Chinese officials criticized a similar bill after the House passed it in March, although they have not yet said whether they would block a divestment. About a year ago, China’s commerce ministry said it would “firmly oppose” a sale of the app by ByteDance.

Chinese export regulations appear to cover TikTok’s content recommendation algorithm, giving Beijing a say in whether ByteDance could sell or license the app’s most valuable feature.

It “is not a foregone conclusion by any means” that China will allow a sale, said Lindsay Gorman, a senior fellow at the German Marshall Fund who specializes in emerging tech and China.

China may retaliate against American companies. On Friday, China’s Cyberspace Administration asked Apple to remove Meta’s WhatsApp and Threads from its App Store, according to the iPhone manufacturer. The Chinese government cited national security reasons in making the demand.

Sapna Maheshwari reports on TikTok, technology and emerging media companies. She has been a business reporter for more than a decade. Contact her at [email protected] . More about Sapna Maheshwari

David McCabe covers tech policy. He joined The Times from Axios in 2019. More about David McCabe

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FTC Announces Rule Banning Noncompetes

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Today, the Federal Trade Commission issued a final rule to promote competition by banning noncompetes nationwide, protecting the fundamental freedom of workers to change jobs, increasing innovation, and fostering new business formation.

“Noncompete clauses keep wages low, suppress new ideas, and rob the American economy of dynamism, including from the more than 8,500 new startups that would be created a year once noncompetes are banned,” said FTC Chair Lina M. Khan. “The FTC’s final rule to ban noncompetes will ensure Americans have the freedom to pursue a new job, start a new business, or bring a new idea to market.”

The FTC estimates that the final rule banning noncompetes will lead to new business formation growing by 2.7% per year, resulting in more than 8,500 additional new businesses created each year. The final rule is expected to result in higher earnings for workers, with estimated earnings increasing for the average worker by an additional $524 per year, and it is expected to lower health care costs by up to $194 billion over the next decade. In addition, the final rule is expected to help drive innovation, leading to an estimated average increase of 17,000 to 29,000 more patents each year for the next 10 years under the final rule.

Banning Non Competes: Good for workers, businesses, and the economy

Noncompetes are a widespread and often exploitative practice imposing contractual conditions that prevent workers from taking a new job or starting a new business. Noncompetes often force workers to either stay in a job they want to leave or bear other significant harms and costs, such as being forced to switch to a lower-paying field, being forced to relocate, being forced to leave the workforce altogether, or being forced to defend against expensive litigation. An estimated 30 million workers—nearly one in five Americans—are subject to a noncompete.

Under the FTC’s new rule, existing noncompetes for the vast majority of workers will no longer be enforceable after the rule’s effective date. Existing noncompetes for senior executives - who represent less than 0.75% of workers - can remain in force under the FTC’s final rule, but employers are banned from entering into or attempting to enforce any new noncompetes, even if they involve senior executives. Employers will be required to provide notice to workers other than senior executives who are bound by an existing noncompete that they will not be enforcing any noncompetes against them.

In January 2023, the FTC issued a proposed rule which was subject to a 90-day public comment period. The FTC received more than 26,000 comments on the proposed rule, with over 25,000 comments in support of the FTC’s proposed ban on noncompetes. The comments informed the FTC’s final rulemaking process, with the FTC carefully reviewing each comment and making changes to the proposed rule in response to the public’s feedback.

In the final rule, the Commission has determined that it is an unfair method of competition, and therefore a violation of Section 5 of the FTC Act, for employers to enter into noncompetes with workers and to enforce certain noncompetes.

The Commission found that noncompetes tend to negatively affect competitive conditions in labor markets by inhibiting efficient matching between workers and employers. The Commission also found that noncompetes tend to negatively affect competitive conditions in product and service markets, inhibiting new business formation and innovation. There is also evidence that noncompetes lead to increased market concentration and higher prices for consumers.

Alternatives to Noncompetes

The Commission found that employers have several alternatives to noncompetes that still enable firms to protect their investments without having to enforce a noncompete.

Trade secret laws and non-disclosure agreements (NDAs) both provide employers with well-established means to protect proprietary and other sensitive information. Researchers estimate that over 95% of workers with a noncompete already have an NDA.

The Commission also finds that instead of using noncompetes to lock in workers, employers that wish to retain employees can compete on the merits for the worker’s labor services by improving wages and working conditions.

Changes from the NPRM

Under the final rule, existing noncompetes for senior executives can remain in force. Employers, however, are prohibited from entering into or enforcing new noncompetes with senior executives. The final rule defines senior executives as workers earning more than $151,164 annually and who are in policy-making positions.

Additionally, the Commission has eliminated a provision in the proposed rule that would have required employers to legally modify existing noncompetes by formally rescinding them. That change will help to streamline compliance.

Instead, under the final rule, employers will simply have to provide notice to workers bound to an existing noncompete that the noncompete agreement will not be enforced against them in the future. To aid employers’ compliance with this requirement, the Commission has included model language in the final rule that employers can use to communicate to workers.

The Commission vote to approve the issuance of the final rule was 3-2 with Commissioners Melissa Holyoak and Andrew N. Ferguson voting no. Commissioners Rebecca Kelly Slaughter , Alvaro Bedoya , Melissa Holyoak and Andrew N. Ferguson each issued separate statements. Chair Lina M. Khan will issue a separate statement.

The final rule will become effective 120 days after publication in the Federal Register.

Once the rule is effective, market participants can report information about a suspected violation of the rule to the Bureau of Competition by emailing [email protected] .

The Federal Trade Commission develops policy initiatives on issues that affect competition, consumers, and the U.S. economy. The FTC will never demand money, make threats, tell you to transfer money, or promise you a prize. Follow the FTC on social media , read consumer alerts and the business blog , and sign up to get the latest FTC news and alerts .

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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 ...
Research Paper: Definition, Structure, Characteristics, and Types
Research Paper. A research paper is a product of seeking information, analysis, human thinking, and time. Basically, when scholars want to get answers to questions, they start to search for information to expand, use, approve, or deny findings. In simple words, research papers are results of processes by considering writing works and following ...
What are the different types of research papers?
Experimental research paper. This type of research paper basically describes a particular experiment in detail. It is common in fields like: biology. chemistry. physics. Experiments are aimed to explain a certain outcome or phenomenon with certain actions. You need to describe your experiment with supporting data and then analyze it sufficiently.
How to Write a Research Paper
Understand the assignment. Choose a research paper topic. Conduct preliminary research. Develop a thesis statement. Create a research paper outline. Write a first draft of the research paper. Write the introduction. Write a compelling body of text. Write the conclusion.
Research Guides: Types of Research Papers: Overview
There are different types of research papers with varying purposes and expectations for sourcing. While this guide explains those differences broadly, disciplines and assignments vary. Ask your professor for clarification on the purpose, types of appropriate research questions, and expectations of sources for your assignment. Type. Purpose.
Types of Research Designs Compared
Types of Research Designs Compared | Guide & Examples. Published on June 20, 2019 by Shona McCombes.Revised on June 22, 2023. When you start planning a research project, developing research questions and creating a research design, you will have to make various decisions about the type of research you want to do.. There are many ways to categorize different types of research.
What is a research paper?
Definition. A research paper is a paper that makes an argument about a topic based on research and analysis. Any paper requiring the writer to research a particular topic is a research paper. Unlike essays, which are often based largely on opinion and are written from the author's point of view, research papers are based in fact.
Research Paper Structure: A Comprehensive Guide
A well-structured research paper not only helps readers follow the flow of ideas but also enhances the clarity and coherence of the content. By organizing information into sections, paragraphs, and sentences, researchers can present their thoughts logically and systematically. This logical organization allows readers to easily connect ideas ...
What Is a Research Paper?
A research paper is a common form of academic writing. Research papers require students and academics to locate information about a topic (that is, to conduct research ), take a stand on that topic, and provide support (or evidence) for that position in an organized report. The term research paper may also refer to a scholarly article that ...
Types of Research Papers
This type of paper hopes to persuade its reader to adopt the view presented. Example: a paper that argues the merits of early exposure to reading for children would be an argumentative essay. Analytical. An analytical research paper states the topic that the writer will be exploring, usually in the form of a question, initially taking a neutral ...
Research Methods
Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design. When planning your methods, there are two key decisions you will make. First, decide how you will collect data. Your methods depend on what type of data you need to answer your research question:
What is Research
Research is the careful consideration of study regarding a particular concern or research problem using scientific methods. According to the American sociologist Earl Robert Babbie, "research is a systematic inquiry to describe, explain, predict, and control the observed phenomenon. It involves inductive and deductive methods.".
What is an Academic Paper? Types and Elements
Types of academic papers. Academic papers are differentiated based on the context of the paper, its length and structure, its purpose and who it addresses. Research papers are the most common type of academic paper and present original research, usually conducted by PhD students who conduct in-depth investigations in their chosen field of study.
Types of Research
This type of research is subdivided into two types: Technological applied research: looks towards improving efficiency in a particular productive sector through the improvement of processes or machinery related to said productive processes. Scientific applied research: has predictive purposes. Through this type of research design, we can ...
Research Methods
To analyse data collected in a statistically valid manner (e.g. from experiments, surveys, and observations). Meta-analysis. Quantitative. To statistically analyse the results of a large collection of studies. Can only be applied to studies that collected data in a statistically valid manner.
What is Research? Definition, Types, Methods and Process
Research is defined as a meticulous and systematic inquiry process designed to explore and unravel specific subjects or issues with precision. This methodical approach encompasses the thorough collection, rigorous analysis, and insightful interpretation of information, aiming to delve deep into the nuances of a chosen field of study.
Research Hypothesis: Definition, Types, Examples and Quick Tips
Its integrated, comprehensive end-to-end platform for research allows scholars to easily discover, write and publish their research and fosters collaboration. It includes everything you need, including a repository of over 270 million research papers across disciplines, SEO-optimized summaries and public profiles to show your expertise and ...
What is Research Methodology? Definition, Types, and Examples
Definition, Types, and Examples. Research methodology 1,2 is a structured and scientific approach used to collect, analyze, and interpret quantitative or qualitative data to answer research questions or test hypotheses. A research methodology is like a plan for carrying out research and helps keep researchers on track by limiting the scope of ...
Writing a Research Paper Introduction
Table of contents. Step 1: Introduce your topic. Step 2: Describe the background. Step 3: Establish your research problem. Step 4: Specify your objective (s) Step 5: Map out your paper. Research paper introduction examples. Frequently asked questions about the research paper introduction.
What are Scholarly Sources and Where Can You Find Them?
6 types of scholarly sources and its importance in academic writing Common types of scholarly sources include the following: Scholarly books: These are published by a university press or an academic publisher. They also include monographs that synthesize existing research or present new insights and perspectives on a specific subject.
Research ethics and artificial intelligence for global health
The ethical governance of Artificial Intelligence (AI) in health care and public health continues to be an urgent issue for attention in policy, research, and practice. In this paper we report on central themes related to challenges and strategies for promoting ethics in research involving AI in global health, arising from the Global Forum on Bioethics in Research (GFBR), held in Cape Town ...
Apple targets Google staff to build artificial intelligence team
According to a Financial Times analysis of hundreds of LinkedIn profiles as well as public job postings and research papers, the $2.7tn company has undertaken a hiring spree over recent years to ...
52 Types of Paper
Cardstock, a thick and durable type of paper, is known for its heavy weight. Because of these properties, cardstock is often used for greeting cards, invitations, postcards, playing cards, business cards, and more. Its durability is an advantage while its lack of flexibility is a disadvantage. Cardstock is still inexpensive but typically costs ...
Assay Validation of Cell-Free DNA Shallow Whole-Genome Sequencing to
This paper describes the validation of an ultra low-pass whole genome sequencing (ULP-WGS) assay for identification of tumor fraction in cell-free DNA (cfDNA) and establishes the minimum tumor fraction by comparing results with whole exome sequencing (WES), identifies the minimum cfDNA input required, and investigates assay reproducibility.
Biden Signs TikTok Ban Bill Into Law. Here's What Happens Next.
The issue could take months or even years to settle, during which the app would probably continue to function for U.S. consumers. "It's going to be a royal mess," said Anupam Chander, a ...
What Is a Research Design
A research design is a strategy for answering your research question using empirical data. Creating a research design means making decisions about: Your overall research objectives and approach. Whether you'll rely on primary research or secondary research. Your sampling methods or criteria for selecting subjects. Your data collection methods.
FTC Announces Rule Banning Noncompetes
Today, the Federal Trade Commission issued a final rule to promote competition by banning noncompetes nationwide, protecting the fundamental freedom of workers to change jobs, increasing innovation, and fostering new business formation. "Noncompete clauses keep wages low, suppress new ideas, and rob the American economy of dynamism, including from the more than 8,500 new startups that would ...

Research Paper – Structure, Examples and Writing Guide

Research Paper

Structure of Research Paper

Introduction

Literature Review

How to Write Research Paper

Research Paper Example

Applications of Research Paper

When to Write Research Paper

Purpose of Research Paper

Characteristics of Research Paper

Advantages of Research Paper

Limitations of Research Paper

About the author

Muhammad Hassan

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Research Paper

Definition of What Is a Research Paper and Its Meaning

The Structure of a Research Work

🔸 The First Part of a Research Study

🔸 Literature Review and Research or Experiment

🔸 Analysis of Findings

🔸 The Final Part of a Conducted Research

Research Characteristics

Types of Research Papers

Typical Research Papers

Serious Research Studies

Types of Research Papers: Overview

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Types of Research – Explained with Examples

Types of Research

Classification of Types of Research

According to its Purpose

Applied Research

According to your Depth of Scope

Descriptive Research

Explanatory Research

Correlational Research

According to the Type of Data Used

Quantitative Research

According to the Degree of Manipulation of Variables

Non-Experimental Research

Quasi-Experimental Research

According to the Type of Inference

Inductive Research

Hypothetical-Deductive Investigation

According to the Time in Which it is Carried Out

Cross-Sectional Study (also referred to as Synchronous Research)

According to The Sources of Information

Secondary research

According to How the Data is Obtained