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• How to Write a Research Proposal | Examples & Templates

How to Write a Research Proposal | Examples & Templates

Published on 30 October 2022 by Shona McCombes and Tegan George. Revised on 13 June 2023.

A research proposal describes what you will investigate, why it’s important, and how you will conduct your research.

The format of a research proposal varies between fields, but most proposals will contain at least these elements:

Introduction

Literature review.

• Research design

Reference list

While the sections may vary, the overall objective is always the same. A research proposal serves as a blueprint and guide for your research plan, helping you get organised and feel confident in the path forward you choose to take.

Table of contents

Research proposal purpose, research proposal examples, research design and methods, contribution to knowledge, research schedule, frequently asked questions.

Academics often have to write research proposals to get funding for their projects. As a student, you might have to write a research proposal as part of a grad school application , or prior to starting your thesis or dissertation .

In addition to helping you figure out what your research can look like, a proposal can also serve to demonstrate why your project is worth pursuing to a funder, educational institution, or supervisor.

Research proposal length

The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.

One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.

Download our research proposal template

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Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.

• Example research proposal #1: ‘A Conceptual Framework for Scheduling Constraint Management’
• Example research proposal #2: ‘ Medical Students as Mediators of Change in Tobacco Use’

Like your dissertation or thesis, the proposal will usually have a title page that includes:

• The proposed title of your project
• Your supervisor’s name
• Your institution and department

The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.

Your introduction should:

• Introduce your topic
• Give necessary background and context
• Outline your  problem statement  and research questions

To guide your introduction , include information about:

• Who could have an interest in the topic (e.g., scientists, policymakers)
• How much is already known about the topic
• What is missing from this current knowledge
• What new insights your research will contribute
• Why you believe this research is worth doing

As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review  shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.

In this section, share exactly how your project will contribute to ongoing conversations in the field by:

• Comparing and contrasting the main theories, methods, and debates
• Examining the strengths and weaknesses of different approaches
• Explaining how will you build on, challenge, or synthesise prior scholarship

Following the literature review, restate your main  objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.

To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasise again what you aim to contribute and why it matters.

For example, your results might have implications for:

• Improving best practices
• Informing policymaking decisions
• Strengthening a theory or model
• Challenging popular or scientific beliefs
• Creating a basis for future research

Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .

Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.

Here’s an example schedule to help you get started. You can also download a template at the button below.

Download our research schedule template

If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.

Make sure to check what type of costs the funding body will agree to cover. For each item, include:

• Cost : exactly how much money do you need?
• Justification : why is this cost necessary to complete the research?
• Source : how did you calculate the amount?

To determine your budget, think about:

• Travel costs : do you need to go somewhere to collect your data? How will you get there, and how much time will you need? What will you do there (e.g., interviews, archival research)?
• Materials : do you need access to any tools or technologies?
• Help : do you need to hire any research assistants for the project? What will they do, and how much will you pay them?

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement.

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.

A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.

A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.

All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

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How to write a research proposal

What is a research proposal?

What is the purpose of a research proposal , how long should a research proposal be, what should be included in a research proposal, 1. the title page, 2. introduction, 3. literature review, 4. research design, 5. implications, 6. reference list, frequently asked questions about writing a research proposal, related articles.

If you’re in higher education, the term “research proposal” is something you’re likely to be familiar with. But what is it, exactly? You’ll normally come across the need to prepare a research proposal when you’re looking to secure Ph.D. funding.

When you’re trying to find someone to fund your Ph.D. research, a research proposal is essentially your “pitch.”

A research proposal is a concise and coherent summary of your proposed research.

You’ll need to set out the issues that are central to the topic area and how you intend to address them with your research. To do this, you’ll need to give the following:

• an outline of the general area of study within which your research falls
• an overview of how much is currently known about the topic
• a literature review that covers the recent scholarly debate or conversation around the topic

➡️  What is a literature review? Learn more in our guide.

Essentially, you are trying to persuade your institution that you and your project are worth investing their time and money into.

It is the opportunity for you to demonstrate that you have the aptitude for this level of research by showing that you can articulate complex ideas:

It also helps you to find the right supervisor to oversee your research. When you’re writing your research proposal, you should always have this in the back of your mind.

This is the document that potential supervisors will use in determining the legitimacy of your research and, consequently, whether they will invest in you or not. It is therefore incredibly important that you spend some time on getting it right.

Tip: While there may not always be length requirements for research proposals, you should strive to cover everything you need to in a concise way.

If your research proposal is for a bachelor’s or master’s degree, it may only be a few pages long. For a Ph.D., a proposal could be a pretty long document that spans a few dozen pages.

➡️ Research proposals are similar to grant proposals. Learn how to write a grant proposal in our guide.

When you’re writing your proposal, keep in mind its purpose and why you’re writing it. It, therefore, needs to clearly explain the relevance of your research and its context with other discussions on the topic. You need to then explain what approach you will take and why it is feasible.

Generally, your structure should look something like this:

• Introduction
• Literature Review
• Research Design
• Implications

If you follow this structure, you’ll have a comprehensive and coherent proposal that looks and feels professional, without missing out on anything important. We’ll take a deep dive into each of these areas one by one next.

The title page might vary slightly per your area of study but, as a general point, your title page should contain the following:

• The proposed title of your project
• Your supervisor’s name
• The name of your institution and your particular department

Tip: Keep in mind any departmental or institutional guidelines for a research proposal title page. Also, your supervisor may ask for specific details to be added to the page.

The introduction is crucial   to your research proposal as it is your first opportunity to hook the reader in. A good introduction section will introduce your project and its relevance to the field of study.

You’ll want to use this space to demonstrate that you have carefully thought about how to present your project as interesting, original, and important research. A good place to start is by introducing the context of your research problem.

Think about answering these questions:

• What is it you want to research and why?
• How does this research relate to the respective field?
• How much is already known about this area?
• Who might find this research interesting?
• What are the key questions you aim to answer with your research?
• What will the findings of this project add to the topic area?

Your introduction aims to set yourself off on a great footing and illustrate to the reader that you are an expert in your field and that your project has a solid foundation in existing knowledge and theory.

The literature review section answers the question who else is talking about your proposed research topic.

You want to demonstrate that your research will contribute to conversations around the topic and that it will sit happily amongst experts in the field.

➡️ Read more about how to write a literature review .

There are lots of ways you can find relevant information for your literature review, including:

• Research relevant academic sources such as books and journals to find similar conversations around the topic.
• Read through abstracts and bibliographies of your academic sources to look for relevance and further additional resources without delving too deep into articles that are possibly not relevant to you.
• Watch out for heavily-cited works . This should help you to identify authoritative work that you need to read and document.
• Look for any research gaps , trends and patterns, common themes, debates, and contradictions.
• Consider any seminal studies on the topic area as it is likely anticipated that you will address these in your research proposal.

This is where you get down to the real meat of your research proposal. It should be a discussion about the overall approach you plan on taking, and the practical steps you’ll follow in answering the research questions you’ve posed.

So what should you discuss here? Some of the key things you will need to discuss at this point are:

• What form will your research take? Is it qualitative/quantitative/mixed? Will your research be primary or secondary?
• What sources will you use? Who or what will you be studying as part of your research.
• Document your research method. How are you practically going to carry out your research? What tools will you need? What procedures will you use?
• Any practicality issues you foresee. Do you think there will be any obstacles to your anticipated timescale? What resources will you require in carrying out your research?

Your research design should also discuss the potential implications of your research. For example, are you looking to confirm an existing theory or develop a new one?

If you intend to create a basis for further research, you should describe this here.

It is important to explain fully what you want the outcome of your research to look like and what you want to achieve by it. This will help those reading your research proposal to decide if it’s something the field  needs  and  wants,  and ultimately whether they will support you with it.

When you reach the end of your research proposal, you’ll have to compile a list of references for everything you’ve cited above. Ideally, you should keep track of everything from the beginning. Otherwise, this could be a mammoth and pretty laborious task to do.

Consider using a reference manager like Paperpile to format and organize your citations. Paperpile allows you to organize and save your citations for later use and cite them in thousands of citation styles directly in Google Docs, Microsoft Word, or LaTeX.

Your project may also require you to have a timeline, depending on the budget you are requesting. If you need one, you should include it here and explain both the timeline and the budget you need, documenting what should be done at each stage of the research and how much of the budget this will use.

This is the final step, but not one to be missed. You should make sure that you edit and proofread your document so that you can be sure there are no mistakes.

A good idea is to have another person proofread the document for you so that you get a fresh pair of eyes on it. You can even have a professional proofreader do this for you.

This is an important document and you don’t want spelling or grammatical mistakes to get in the way of you and your reader.

➡️ Working on a research proposal for a thesis? Take a look at our guide on how to come up with a topic for your thesis .

A research proposal is a concise and coherent summary of your proposed research. Generally, your research proposal will have a title page, introduction, literature review section, a section about research design and explaining the implications of your research, and a reference list.

A good research proposal is concise and coherent. It has a clear purpose, clearly explains the relevance of your research and its context with other discussions on the topic. A good research proposal explains what approach you will take and why it is feasible.

You need a research proposal to persuade your institution that you and your project are worth investing their time and money into. It is your opportunity to demonstrate your aptitude for this level or research by showing that you can articulate complex ideas clearly, concisely, and critically.

A research proposal is essentially your "pitch" when you're trying to find someone to fund your PhD. It is a clear and concise summary of your proposed research. It gives an outline of the general area of study within which your research falls, it elaborates how much is currently known about the topic, and it highlights any recent debate or conversation around the topic by other academics.

The general answer is: as long as it needs to be to cover everything. The length of your research proposal depends on the requirements from the institution that you are applying to. Make sure to carefully read all the instructions given, and if this specific information is not provided, you can always ask.

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The goal of a research proposal is twofold: to present and justify the need to study a research problem and to present the practical ways in which the proposed study should be conducted. The design elements and procedures for conducting research are governed by standards of the predominant discipline in which the problem resides, therefore, the guidelines for research proposals are more exacting and less formal than a general project proposal. Research proposals contain extensive literature reviews. They must provide persuasive evidence that a need exists for the proposed study. In addition to providing a rationale, a proposal describes detailed methodology for conducting the research consistent with requirements of the professional or academic field and a statement on anticipated outcomes and benefits derived from the study's completion.

Krathwohl, David R. How to Prepare a Dissertation Proposal: Suggestions for Students in Education and the Social and Behavioral Sciences . Syracuse, NY: Syracuse University Press, 2005.

How to Approach Writing a Research Proposal

Your professor may assign the task of writing a research proposal for the following reasons:

• Develop your skills in thinking about and designing a comprehensive research study;
• Learn how to conduct a comprehensive review of the literature to determine that the research problem has not been adequately addressed or has been answered ineffectively and, in so doing, become better at locating pertinent scholarship related to your topic;
• Improve your general research and writing skills;
• Practice identifying the logical steps that must be taken to accomplish one's research goals;
• Critically review, examine, and consider the use of different methods for gathering and analyzing data related to the research problem; and,
• Nurture a sense of inquisitiveness within yourself and to help see yourself as an active participant in the process of conducting scholarly research.

A proposal should contain all the key elements involved in designing a completed research study, with sufficient information that allows readers to assess the validity and usefulness of your proposed study. The only elements missing from a research proposal are the findings of the study and your analysis of those findings. Finally, an effective proposal is judged on the quality of your writing and, therefore, it is important that your proposal is coherent, clear, and compelling.

Regardless of the research problem you are investigating and the methodology you choose, all research proposals must address the following questions:

• What do you plan to accomplish? Be clear and succinct in defining the research problem and what it is you are proposing to investigate.
• Why do you want to do the research? In addition to detailing your research design, you also must conduct a thorough review of the literature and provide convincing evidence that it is a topic worthy of in-depth study. A successful research proposal must answer the "So What?" question.
• How are you going to conduct the research? Be sure that what you propose is doable. If you're having difficulty formulating a research problem to propose investigating, go here for strategies in developing a problem to study.

Common Mistakes to Avoid

• Failure to be concise . A research proposal must be focused and not be "all over the map" or diverge into unrelated tangents without a clear sense of purpose.
• Failure to cite landmark works in your literature review . Proposals should be grounded in foundational research that lays a foundation for understanding the development and scope of the the topic and its relevance.
• Failure to delimit the contextual scope of your research [e.g., time, place, people, etc.]. As with any research paper, your proposed study must inform the reader how and in what ways the study will frame the problem.
• Failure to develop a coherent and persuasive argument for the proposed research . This is critical. In many workplace settings, the research proposal is a formal document intended to argue for why a study should be funded.
• Sloppy or imprecise writing, or poor grammar . Although a research proposal does not represent a completed research study, there is still an expectation that it is well-written and follows the style and rules of good academic writing.
• Too much detail on minor issues, but not enough detail on major issues . Your proposal should focus on only a few key research questions in order to support the argument that the research needs to be conducted. Minor issues, even if valid, can be mentioned but they should not dominate the overall narrative.

Procter, Margaret. The Academic Proposal.  The Lab Report. University College Writing Centre. University of Toronto; Sanford, Keith. Information for Students: Writing a Research Proposal. Baylor University; Wong, Paul T. P. How to Write a Research Proposal. International Network on Personal Meaning. Trinity Western University; Writing Academic Proposals: Conferences, Articles, and Books. The Writing Lab and The OWL. Purdue University; Writing a Research Proposal. University Library. University of Illinois at Urbana-Champaign.

Structure and Writing Style

Beginning the Proposal Process

As with writing most college-level academic papers, research proposals are generally organized the same way throughout most social science disciplines. The text of proposals generally vary in length between ten and thirty-five pages, followed by the list of references. However, before you begin, read the assignment carefully and, if anything seems unclear, ask your professor whether there are any specific requirements for organizing and writing the proposal.

A good place to begin is to ask yourself a series of questions:

• What do I want to study?
• Why is the topic important?
• How is it significant within the subject areas covered in my class?
• What problems will it help solve?
• How does it build upon [and hopefully go beyond] research already conducted on the topic?
• What exactly should I plan to do, and can I get it done in the time available?

In general, a compelling research proposal should document your knowledge of the topic and demonstrate your enthusiasm for conducting the study. Approach it with the intention of leaving your readers feeling like, "Wow, that's an exciting idea and I can’t wait to see how it turns out!"

Most proposals should include the following sections:

I.  Introduction

In the real world of higher education, a research proposal is most often written by scholars seeking grant funding for a research project or it's the first step in getting approval to write a doctoral dissertation. Even if this is just a course assignment, treat your introduction as the initial pitch of an idea based on a thorough examination of the significance of a research problem. After reading the introduction, your readers should not only have an understanding of what you want to do, but they should also be able to gain a sense of your passion for the topic and to be excited about the study's possible outcomes. Note that most proposals do not include an abstract [summary] before the introduction.

Think about your introduction as a narrative written in two to four paragraphs that succinctly answers the following four questions :

• What is the central research problem?
• What is the topic of study related to that research problem?
• What methods should be used to analyze the research problem?
• Answer the "So What?" question by explaining why this is important research, what is its significance, and why should someone reading the proposal care about the outcomes of the proposed study?

II.  Background and Significance

This is where you explain the scope and context of your proposal and describe in detail why it's important. It can be melded into your introduction or you can create a separate section to help with the organization and narrative flow of your proposal. Approach writing this section with the thought that you can’t assume your readers will know as much about the research problem as you do. Note that this section is not an essay going over everything you have learned about the topic; instead, you must choose what is most relevant in explaining the aims of your research.

To that end, while there are no prescribed rules for establishing the significance of your proposed study, you should attempt to address some or all of the following:

• State the research problem and give a more detailed explanation about the purpose of the study than what you stated in the introduction. This is particularly important if the problem is complex or multifaceted .
• Present the rationale of your proposed study and clearly indicate why it is worth doing; be sure to answer the "So What? question [i.e., why should anyone care?].
• Describe the major issues or problems examined by your research. This can be in the form of questions to be addressed. Be sure to note how your proposed study builds on previous assumptions about the research problem.
• Explain the methods you plan to use for conducting your research. Clearly identify the key sources you intend to use and explain how they will contribute to your analysis of the topic.
• Describe the boundaries of your proposed research in order to provide a clear focus. Where appropriate, state not only what you plan to study, but what aspects of the research problem will be excluded from the study.
• If necessary, provide definitions of key concepts, theories, or terms.

III.  Literature Review

Connected to the background and significance of your study is a section of your proposal devoted to a more deliberate review and synthesis of prior studies related to the research problem under investigation . The purpose here is to place your project within the larger whole of what is currently being explored, while at the same time, demonstrating to your readers that your work is original and innovative. Think about what questions other researchers have asked, what methodological approaches they have used, and what is your understanding of their findings and, when stated, their recommendations. Also pay attention to any suggestions for further research.

Since a literature review is information dense, it is crucial that this section is intelligently structured to enable a reader to grasp the key arguments underpinning your proposed study in relation to the arguments put forth by other researchers. A good strategy is to break the literature into "conceptual categories" [themes] rather than systematically or chronologically describing groups of materials one at a time. Note that conceptual categories generally reveal themselves after you have read most of the pertinent literature on your topic so adding new categories is an on-going process of discovery as you review more studies. How do you know you've covered the key conceptual categories underlying the research literature? Generally, you can have confidence that all of the significant conceptual categories have been identified if you start to see repetition in the conclusions or recommendations that are being made.

NOTE: Do not shy away from challenging the conclusions made in prior research as a basis for supporting the need for your proposal. Assess what you believe is missing and state how previous research has failed to adequately examine the issue that your study addresses. Highlighting the problematic conclusions strengthens your proposal. For more information on writing literature reviews, GO HERE .

To help frame your proposal's review of prior research, consider the "five C’s" of writing a literature review:

• Cite , so as to keep the primary focus on the literature pertinent to your research problem.
• Compare the various arguments, theories, methodologies, and findings expressed in the literature: what do the authors agree on? Who applies similar approaches to analyzing the research problem?
• Contrast the various arguments, themes, methodologies, approaches, and controversies expressed in the literature: describe what are the major areas of disagreement, controversy, or debate among scholars?
• Critique the literature: Which arguments are more persuasive, and why? Which approaches, findings, and methodologies seem most reliable, valid, or appropriate, and why? Pay attention to the verbs you use to describe what an author says/does [e.g., asserts, demonstrates, argues, etc.].
• Connect the literature to your own area of research and investigation: how does your own work draw upon, depart from, synthesize, or add a new perspective to what has been said in the literature?

IV.  Research Design and Methods

This section must be well-written and logically organized because you are not actually doing the research, yet, your reader must have confidence that you have a plan worth pursuing . The reader will never have a study outcome from which to evaluate whether your methodological choices were the correct ones. Thus, the objective here is to convince the reader that your overall research design and proposed methods of analysis will correctly address the problem and that the methods will provide the means to effectively interpret the potential results. Your design and methods should be unmistakably tied to the specific aims of your study.

Describe the overall research design by building upon and drawing examples from your review of the literature. Consider not only methods that other researchers have used, but methods of data gathering that have not been used but perhaps could be. Be specific about the methodological approaches you plan to undertake to obtain information, the techniques you would use to analyze the data, and the tests of external validity to which you commit yourself [i.e., the trustworthiness by which you can generalize from your study to other people, places, events, and/or periods of time].

When describing the methods you will use, be sure to cover the following:

• Specify the research process you will undertake and the way you will interpret the results obtained in relation to the research problem. Don't just describe what you intend to achieve from applying the methods you choose, but state how you will spend your time while applying these methods [e.g., coding text from interviews to find statements about the need to change school curriculum; running a regression to determine if there is a relationship between campaign advertising on social media sites and election outcomes in Europe ].
• Keep in mind that the methodology is not just a list of tasks; it is a deliberate argument as to why techniques for gathering information add up to the best way to investigate the research problem. This is an important point because the mere listing of tasks to be performed does not demonstrate that, collectively, they effectively address the research problem. Be sure you clearly explain this.
• Anticipate and acknowledge any potential barriers and pitfalls in carrying out your research design and explain how you plan to address them. No method applied to research in the social and behavioral sciences is perfect, so you need to describe where you believe challenges may exist in obtaining data or accessing information. It's always better to acknowledge this than to have it brought up by your professor!

V.  Preliminary Suppositions and Implications

Just because you don't have to actually conduct the study and analyze the results, doesn't mean you can skip talking about the analytical process and potential implications . The purpose of this section is to argue how and in what ways you believe your research will refine, revise, or extend existing knowledge in the subject area under investigation. Depending on the aims and objectives of your study, describe how the anticipated results will impact future scholarly research, theory, practice, forms of interventions, or policy making. Note that such discussions may have either substantive [a potential new policy], theoretical [a potential new understanding], or methodological [a potential new way of analyzing] significance.   When thinking about the potential implications of your study, ask the following questions:

• What might the results mean in regards to challenging the theoretical framework and underlying assumptions that support the study?
• What suggestions for subsequent research could arise from the potential outcomes of the study?
• What will the results mean to practitioners in the natural settings of their workplace, organization, or community?
• Will the results influence programs, methods, and/or forms of intervention?
• How might the results contribute to the solution of social, economic, or other types of problems?
• Will the results influence policy decisions?
• In what way do individuals or groups benefit should your study be pursued?
• What will be improved or changed as a result of the proposed research?
• How will the results of the study be implemented and what innovations or transformative insights could emerge from the process of implementation?

NOTE:   This section should not delve into idle speculation, opinion, or be formulated on the basis of unclear evidence . The purpose is to reflect upon gaps or understudied areas of the current literature and describe how your proposed research contributes to a new understanding of the research problem should the study be implemented as designed.

ANOTHER NOTE : This section is also where you describe any potential limitations to your proposed study. While it is impossible to highlight all potential limitations because the study has yet to be conducted, you still must tell the reader where and in what form impediments may arise and how you plan to address them.

VI.  Conclusion

The conclusion reiterates the importance or significance of your proposal and provides a brief summary of the entire study . This section should be only one or two paragraphs long, emphasizing why the research problem is worth investigating, why your research study is unique, and how it should advance existing knowledge.

Someone reading this section should come away with an understanding of:

• Why the study should be done;
• The specific purpose of the study and the research questions it attempts to answer;
• The decision for why the research design and methods used where chosen over other options;
• The potential implications emerging from your proposed study of the research problem; and
• A sense of how your study fits within the broader scholarship about the research problem.

VII.  Citations

As with any scholarly research paper, you must cite the sources you used . In a standard research proposal, this section can take two forms, so consult with your professor about which one is preferred.

• References -- a list of only the sources you actually used in creating your proposal.
• Bibliography -- a list of everything you used in creating your proposal, along with additional citations to any key sources relevant to understanding the research problem.

In either case, this section should testify to the fact that you did enough preparatory work to ensure the project will complement and not just duplicate the efforts of other researchers. It demonstrates to the reader that you have a thorough understanding of prior research on the topic.

Most proposal formats have you start a new page and use the heading "References" or "Bibliography" centered at the top of the page. Cited works should always use a standard format that follows the writing style advised by the discipline of your course [e.g., education=APA; history=Chicago] or that is preferred by your professor. This section normally does not count towards the total page length of your research proposal.

Develop a Research Proposal: Writing the Proposal. Office of Library Information Services. Baltimore County Public Schools; Heath, M. Teresa Pereira and Caroline Tynan. “Crafting a Research Proposal.” The Marketing Review 10 (Summer 2010): 147-168; Jones, Mark. “Writing a Research Proposal.” In MasterClass in Geography Education: Transforming Teaching and Learning . Graham Butt, editor. (New York: Bloomsbury Academic, 2015), pp. 113-127; Juni, Muhamad Hanafiah. “Writing a Research Proposal.” International Journal of Public Health and Clinical Sciences 1 (September/October 2014): 229-240; Krathwohl, David R. How to Prepare a Dissertation Proposal: Suggestions for Students in Education and the Social and Behavioral Sciences . Syracuse, NY: Syracuse University Press, 2005; Procter, Margaret. The Academic Proposal. The Lab Report. University College Writing Centre. University of Toronto; Punch, Keith and Wayne McGowan. "Developing and Writing a Research Proposal." In From Postgraduate to Social Scientist: A Guide to Key Skills . Nigel Gilbert, ed. (Thousand Oaks, CA: Sage, 2006), 59-81; Wong, Paul T. P. How to Write a Research Proposal. International Network on Personal Meaning. Trinity Western University; Writing Academic Proposals: Conferences , Articles, and Books. The Writing Lab and The OWL. Purdue University; Writing a Research Proposal. University Library. University of Illinois at Urbana-Champaign.

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Research Proposal Example/Sample

Detailed Walkthrough + Free Proposal Template

If you’re getting started crafting your research proposal and are looking for a few examples of research proposals , you’ve come to the right place.

In this video, we walk you through two successful (approved) research proposals , one for a Master’s-level project, and one for a PhD-level dissertation. We also start off by unpacking our free research proposal template and discussing the four core sections of a research proposal, so that you have a clear understanding of the basics before diving into the actual proposals.

• Research proposal example/sample – Master’s-level (PDF/Word)
• Research proposal example/sample – PhD-level (PDF/Word)
• Proposal template (Fully editable) 

If you’re working on a research proposal for a dissertation or thesis, you may also find the following useful:

• Research Proposal Bootcamp : Learn how to write a research proposal as efficiently and effectively as possible
• 1:1 Proposal Coaching : Get hands-on help with your research proposal

PS – If you’re working on a dissertation, be sure to also check out our collection of dissertation and thesis examples here .

FAQ: Research Proposal Example

Research proposal example: frequently asked questions, are the sample proposals real.

Yes. The proposals are real and were approved by the respective universities.

Can I copy one of these proposals for my own research?

As we discuss in the video, every research proposal will be slightly different, depending on the university’s unique requirements, as well as the nature of the research itself. Therefore, you’ll need to tailor your research proposal to suit your specific context.

You can learn more about the basics of writing a research proposal here .

How do I get the research proposal template?

You can access our free proposal template here .

Is the proposal template really free?

Yes. There is no cost for the proposal template and you are free to use it as a foundation for your research proposal.

Where can I learn more about proposal writing?

For self-directed learners, our Research Proposal Bootcamp is a great starting point.

For students that want hands-on guidance, our private coaching service is recommended.

Psst… there’s more!

This post is an extract from our bestselling short course, Research Proposal Bootcamp . If you want to work smart, you don't want to miss this .

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How to write a research proposal?

Department of Anaesthesiology, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India

Devika Rani Duggappa

Writing the proposal of a research work in the present era is a challenging task due to the constantly evolving trends in the qualitative research design and the need to incorporate medical advances into the methodology. The proposal is a detailed plan or ‘blueprint’ for the intended study, and once it is completed, the research project should flow smoothly. Even today, many of the proposals at post-graduate evaluation committees and application proposals for funding are substandard. A search was conducted with keywords such as research proposal, writing proposal and qualitative using search engines, namely, PubMed and Google Scholar, and an attempt has been made to provide broad guidelines for writing a scientifically appropriate research proposal.

INTRODUCTION

A clean, well-thought-out proposal forms the backbone for the research itself and hence becomes the most important step in the process of conduct of research.[ 1 ] The objective of preparing a research proposal would be to obtain approvals from various committees including ethics committee [details under ‘Research methodology II’ section [ Table 1 ] in this issue of IJA) and to request for grants. However, there are very few universally accepted guidelines for preparation of a good quality research proposal. A search was performed with keywords such as research proposal, funding, qualitative and writing proposals using search engines, namely, PubMed, Google Scholar and Scopus.

Five ‘C’s while writing a literature review

BASIC REQUIREMENTS OF A RESEARCH PROPOSAL

A proposal needs to show how your work fits into what is already known about the topic and what new paradigm will it add to the literature, while specifying the question that the research will answer, establishing its significance, and the implications of the answer.[ 2 ] The proposal must be capable of convincing the evaluation committee about the credibility, achievability, practicality and reproducibility (repeatability) of the research design.[ 3 ] Four categories of audience with different expectations may be present in the evaluation committees, namely academic colleagues, policy-makers, practitioners and lay audiences who evaluate the research proposal. Tips for preparation of a good research proposal include; ‘be practical, be persuasive, make broader links, aim for crystal clarity and plan before you write’. A researcher must be balanced, with a realistic understanding of what can be achieved. Being persuasive implies that researcher must be able to convince other researchers, research funding agencies, educational institutions and supervisors that the research is worth getting approval. The aim of the researcher should be clearly stated in simple language that describes the research in a way that non-specialists can comprehend, without use of jargons. The proposal must not only demonstrate that it is based on an intelligent understanding of the existing literature but also show that the writer has thought about the time needed to conduct each stage of the research.[ 4 , 5 ]

CONTENTS OF A RESEARCH PROPOSAL

The contents or formats of a research proposal vary depending on the requirements of evaluation committee and are generally provided by the evaluation committee or the institution.

In general, a cover page should contain the (i) title of the proposal, (ii) name and affiliation of the researcher (principal investigator) and co-investigators, (iii) institutional affiliation (degree of the investigator and the name of institution where the study will be performed), details of contact such as phone numbers, E-mail id's and lines for signatures of investigators.

The main contents of the proposal may be presented under the following headings: (i) introduction, (ii) review of literature, (iii) aims and objectives, (iv) research design and methods, (v) ethical considerations, (vi) budget, (vii) appendices and (viii) citations.[ 4 ]

Introduction

It is also sometimes termed as ‘need for study’ or ‘abstract’. Introduction is an initial pitch of an idea; it sets the scene and puts the research in context.[ 6 ] The introduction should be designed to create interest in the reader about the topic and proposal. It should convey to the reader, what you want to do, what necessitates the study and your passion for the topic.[ 7 ] Some questions that can be used to assess the significance of the study are: (i) Who has an interest in the domain of inquiry? (ii) What do we already know about the topic? (iii) What has not been answered adequately in previous research and practice? (iv) How will this research add to knowledge, practice and policy in this area? Some of the evaluation committees, expect the last two questions, elaborated under a separate heading of ‘background and significance’.[ 8 ] Introduction should also contain the hypothesis behind the research design. If hypothesis cannot be constructed, the line of inquiry to be used in the research must be indicated.

Review of literature

It refers to all sources of scientific evidence pertaining to the topic in interest. In the present era of digitalisation and easy accessibility, there is an enormous amount of relevant data available, making it a challenge for the researcher to include all of it in his/her review.[ 9 ] It is crucial to structure this section intelligently so that the reader can grasp the argument related to your study in relation to that of other researchers, while still demonstrating to your readers that your work is original and innovative. It is preferable to summarise each article in a paragraph, highlighting the details pertinent to the topic of interest. The progression of review can move from the more general to the more focused studies, or a historical progression can be used to develop the story, without making it exhaustive.[ 1 ] Literature should include supporting data, disagreements and controversies. Five ‘C's may be kept in mind while writing a literature review[ 10 ] [ Table 1 ].

Aims and objectives

The research purpose (or goal or aim) gives a broad indication of what the researcher wishes to achieve in the research. The hypothesis to be tested can be the aim of the study. The objectives related to parameters or tools used to achieve the aim are generally categorised as primary and secondary objectives.

Research design and method

The objective here is to convince the reader that the overall research design and methods of analysis will correctly address the research problem and to impress upon the reader that the methodology/sources chosen are appropriate for the specific topic. It should be unmistakably tied to the specific aims of your study.

In this section, the methods and sources used to conduct the research must be discussed, including specific references to sites, databases, key texts or authors that will be indispensable to the project. There should be specific mention about the methodological approaches to be undertaken to gather information, about the techniques to be used to analyse it and about the tests of external validity to which researcher is committed.[ 10 , 11 ]

The components of this section include the following:[ 4 ]

Population and sample

Population refers to all the elements (individuals, objects or substances) that meet certain criteria for inclusion in a given universe,[ 12 ] and sample refers to subset of population which meets the inclusion criteria for enrolment into the study. The inclusion and exclusion criteria should be clearly defined. The details pertaining to sample size are discussed in the article “Sample size calculation: Basic priniciples” published in this issue of IJA.

Data collection

The researcher is expected to give a detailed account of the methodology adopted for collection of data, which include the time frame required for the research. The methodology should be tested for its validity and ensure that, in pursuit of achieving the results, the participant's life is not jeopardised. The author should anticipate and acknowledge any potential barrier and pitfall in carrying out the research design and explain plans to address them, thereby avoiding lacunae due to incomplete data collection. If the researcher is planning to acquire data through interviews or questionnaires, copy of the questions used for the same should be attached as an annexure with the proposal.

Rigor (soundness of the research)

This addresses the strength of the research with respect to its neutrality, consistency and applicability. Rigor must be reflected throughout the proposal.

It refers to the robustness of a research method against bias. The author should convey the measures taken to avoid bias, viz. blinding and randomisation, in an elaborate way, thus ensuring that the result obtained from the adopted method is purely as chance and not influenced by other confounding variables.

Consistency

Consistency considers whether the findings will be consistent if the inquiry was replicated with the same participants and in a similar context. This can be achieved by adopting standard and universally accepted methods and scales.

Applicability

Applicability refers to the degree to which the findings can be applied to different contexts and groups.[ 13 ]

Data analysis

This section deals with the reduction and reconstruction of data and its analysis including sample size calculation. The researcher is expected to explain the steps adopted for coding and sorting the data obtained. Various tests to be used to analyse the data for its robustness, significance should be clearly stated. Author should also mention the names of statistician and suitable software which will be used in due course of data analysis and their contribution to data analysis and sample calculation.[ 9 ]

Ethical considerations

Medical research introduces special moral and ethical problems that are not usually encountered by other researchers during data collection, and hence, the researcher should take special care in ensuring that ethical standards are met. Ethical considerations refer to the protection of the participants' rights (right to self-determination, right to privacy, right to autonomy and confidentiality, right to fair treatment and right to protection from discomfort and harm), obtaining informed consent and the institutional review process (ethical approval). The researcher needs to provide adequate information on each of these aspects.

Informed consent needs to be obtained from the participants (details discussed in further chapters), as well as the research site and the relevant authorities.

When the researcher prepares a research budget, he/she should predict and cost all aspects of the research and then add an additional allowance for unpredictable disasters, delays and rising costs. All items in the budget should be justified.

Appendices are documents that support the proposal and application. The appendices will be specific for each proposal but documents that are usually required include informed consent form, supporting documents, questionnaires, measurement tools and patient information of the study in layman's language.

As with any scholarly research paper, you must cite the sources you used in composing your proposal. Although the words ‘references and bibliography’ are different, they are used interchangeably. It refers to all references cited in the research proposal.

Successful, qualitative research proposals should communicate the researcher's knowledge of the field and method and convey the emergent nature of the qualitative design. The proposal should follow a discernible logic from the introduction to presentation of the appendices.

Financial support and sponsorship

Conflicts of interest.

There are no conflicts of interest.

• Research Process

Writing a Scientific Research Project Proposal

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Table of Contents

The importance of a well-written research proposal cannot be underestimated. Your research really is only as good as your proposal. A poorly written, or poorly conceived research proposal will doom even an otherwise worthy project. On the other hand, a well-written, high-quality proposal will increase your chances for success.

In this article, we’ll outline the basics of writing an effective scientific research proposal, including the differences between research proposals, grants and cover letters. We’ll also touch on common mistakes made when submitting research proposals, as well as a simple example or template that you can follow.

What is a scientific research proposal?

The main purpose of a scientific research proposal is to convince your audience that your project is worthwhile, and that you have the expertise and wherewithal to complete it. The elements of an effective research proposal mirror those of the research process itself, which we’ll outline below. Essentially, the research proposal should include enough information for the reader to determine if your proposed study is worth pursuing.

It is not an uncommon misunderstanding to think that a research proposal and a cover letter are the same things. However, they are different. The main difference between a research proposal vs cover letter content is distinct. Whereas the research proposal summarizes the proposal for future research, the cover letter connects you to the research, and how you are the right person to complete the proposed research.

There is also sometimes confusion around a research proposal vs grant application. Whereas a research proposal is a statement of intent, related to answering a research question, a grant application is a specific request for funding to complete the research proposed. Of course, there are elements of overlap between the two documents; it’s the purpose of the document that defines one or the other.

Scientific Research Proposal Format

Although there is no one way to write a scientific research proposal, there are specific guidelines. A lot depends on which journal you’re submitting your research proposal to, so you may need to follow their scientific research proposal template.

In general, however, there are fairly universal sections to every scientific research proposal. These include:

• Title: Make sure the title of your proposal is descriptive and concise. Make it catch and informative at the same time, avoiding dry phrases like, “An investigation…” Your title should pique the interest of the reader.
• Abstract: This is a brief (300-500 words) summary that includes the research question, your rationale for the study, and any applicable hypothesis. You should also include a brief description of your methodology, including procedures, samples, instruments, etc.
• Introduction: The opening paragraph of your research proposal is, perhaps, the most important. Here you want to introduce the research problem in a creative way, and demonstrate your understanding of the need for the research. You want the reader to think that your proposed research is current, important and relevant.
• Background: Include a brief history of the topic and link it to a contemporary context to show its relevance for today. Identify key researchers and institutions also looking at the problem
• Literature Review: This is the section that may take the longest amount of time to assemble. Here you want to synthesize prior research, and place your proposed research into the larger picture of what’s been studied in the past. You want to show your reader that your work is original, and adds to the current knowledge.
• Research Design and Methodology: This section should be very clearly and logically written and organized. You are letting your reader know that you know what you are going to do, and how. The reader should feel confident that you have the skills and knowledge needed to get the project done.
• Preliminary Implications: Here you’ll be outlining how you anticipate your research will extend current knowledge in your field. You might also want to discuss how your findings will impact future research needs.
• Conclusion: This section reinforces the significance and importance of your proposed research, and summarizes the entire proposal.
• References/Citations: Of course, you need to include a full and accurate list of any and all sources you used to write your research proposal.

Common Mistakes in Writing a Scientific Research Project Proposal

Remember, the best research proposal can be rejected if it’s not well written or is ill-conceived. The most common mistakes made include:

• Not providing the proper context for your research question or the problem
• Failing to reference landmark/key studies
• Losing focus of the research question or problem
• Not accurately presenting contributions by other researchers and institutions
• Incompletely developing a persuasive argument for the research that is being proposed
• Misplaced attention on minor points and/or not enough detail on major issues
• Sloppy, low-quality writing without effective logic and flow
• Incorrect or lapses in references and citations, and/or references not in proper format
• The proposal is too long – or too short

Scientific Research Proposal Example

There are countless examples that you can find for successful research proposals. In addition, you can also find examples of unsuccessful research proposals. Search for successful research proposals in your field, and even for your target journal, to get a good idea on what specifically your audience may be looking for.

While there’s no one example that will show you everything you need to know, looking at a few will give you a good idea of what you need to include in your own research proposal. Talk, also, to colleagues in your field, especially if you are a student or a new researcher. We can often learn from the mistakes of others. The more prepared and knowledgeable you are prior to writing your research proposal, the more likely you are to succeed.

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One of the top reasons scientific research proposals are rejected is due to poor logic and flow. Check out our Language Editing Services to ensure a great proposal , that’s clear and concise, and properly referenced. Check our video for more information, and get started today.

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Advanced Research Methods

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• Library Research

What Is a Research Proposal?

Reference books.

• Writing the Research Paper
• Presenting the Research Paper

When applying for a research grant or scholarship, or, just before you start a major research project, you may be asked to write a preliminary document that includes basic information about your future research. This is the information that is usually needed in your proposal:

• The topic and goal of the research project.
• The kind of result expected from the research.
• The theory or framework in which the research will be done and presented.
• What kind of methods will be used (statistical, empirical, etc.).
• Short reference on the preliminary scholarship and why your research project is needed; how will it continue/justify/disprove the previous scholarship.
• How much will the research project cost; how will it be budgeted (what for the money will be spent).
• Why is it you who can do this research and not somebody else.

Most agencies that offer scholarships or grants provide information about the required format of the proposal. It may include filling out templates, types of information they need, suggested/maximum length of the proposal, etc.

Research proposal formats vary depending on the size of the planned research, the number of participants, the discipline, the characteristics of the research, etc. The following outline assumes an individual researcher. This is just a SAMPLE; several other ways are equally good and can be successful. If possible, discuss your research proposal with an expert in writing, a professor, your colleague, another student who already wrote successful proposals, etc.

• Author, author's affiliation
• Explain the topic and why you chose it. If possible explain your goal/outcome of the research . How much time you need to complete the research?
• Give a brief summary of previous scholarship and explain why your topic and goals are important.
• Relate your planned research to previous scholarship. What will your research add to our knowledge of the topic.
• Break down the main topic into smaller research questions. List them one by one and explain why these questions need to be investigated. Relate them to previous scholarship.
• Include your hypothesis into the descriptions of the detailed research issues if you have one. Explain why it is important to justify your hypothesis.
• This part depends of the methods conducted in the research process. List the methods; explain how the results will be presented; how they will be assessed.
• Explain what kind of results will justify or  disprove your hypothesis. 
• Explain how much money you need.
• Explain the details of the budget (how much you want to spend for what).
• Describe why your research is important.
• List the sources you have used for writing the research proposal, including a few main citations of the preliminary scholarship.

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11.2 Steps in Developing a Research Proposal

Learning objectives.

• Identify the steps in developing a research proposal.
• Choose a topic and formulate a research question and working thesis.
• Develop a research proposal.

Writing a good research paper takes time, thought, and effort. Although this assignment is challenging, it is manageable. Focusing on one step at a time will help you develop a thoughtful, informative, well-supported research paper.

Your first step is to choose a topic and then to develop research questions, a working thesis, and a written research proposal. Set aside adequate time for this part of the process. Fully exploring ideas will help you build a solid foundation for your paper.

Choosing a Topic

When you choose a topic for a research paper, you are making a major commitment. Your choice will help determine whether you enjoy the lengthy process of research and writing—and whether your final paper fulfills the assignment requirements. If you choose your topic hastily, you may later find it difficult to work with your topic. By taking your time and choosing carefully, you can ensure that this assignment is not only challenging but also rewarding.

Writers understand the importance of choosing a topic that fulfills the assignment requirements and fits the assignment’s purpose and audience. (For more information about purpose and audience, see Chapter 6 “Writing Paragraphs: Separating Ideas and Shaping Content” .) Choosing a topic that interests you is also crucial. You instructor may provide a list of suggested topics or ask that you develop a topic on your own. In either case, try to identify topics that genuinely interest you.

After identifying potential topic ideas, you will need to evaluate your ideas and choose one topic to pursue. Will you be able to find enough information about the topic? Can you develop a paper about this topic that presents and supports your original ideas? Is the topic too broad or too narrow for the scope of the assignment? If so, can you modify it so it is more manageable? You will ask these questions during this preliminary phase of the research process.

Identifying Potential Topics

Sometimes, your instructor may provide a list of suggested topics. If so, you may benefit from identifying several possibilities before committing to one idea. It is important to know how to narrow down your ideas into a concise, manageable thesis. You may also use the list as a starting point to help you identify additional, related topics. Discussing your ideas with your instructor will help ensure that you choose a manageable topic that fits the requirements of the assignment.

In this chapter, you will follow a writer named Jorge, who is studying health care administration, as he prepares a research paper. You will also plan, research, and draft your own research paper.

Jorge was assigned to write a research paper on health and the media for an introductory course in health care. Although a general topic was selected for the students, Jorge had to decide which specific issues interested him. He brainstormed a list of possibilities.

If you are writing a research paper for a specialized course, look back through your notes and course activities. Identify reading assignments and class discussions that especially engaged you. Doing so can help you identify topics to pursue.

• Health Maintenance Organizations (HMOs) in the news
• Sexual education programs
• Hollywood and eating disorders
• Americans’ access to public health information
• Media portrayal of health care reform bill
• Depictions of drugs on television
• The effect of the Internet on mental health
• Popularized diets (such as low-carbohydrate diets)
• Fear of pandemics (bird flu, HINI, SARS)
• Electronic entertainment and obesity
• Advertisements for prescription drugs
• Public education and disease prevention

Set a timer for five minutes. Use brainstorming or idea mapping to create a list of topics you would be interested in researching for a paper about the influence of the Internet on social networking. Do you closely follow the media coverage of a particular website, such as Twitter? Would you like to learn more about a certain industry, such as online dating? Which social networking sites do you and your friends use? List as many ideas related to this topic as you can.

Narrowing Your Topic

Once you have a list of potential topics, you will need to choose one as the focus of your essay. You will also need to narrow your topic. Most writers find that the topics they listed during brainstorming or idea mapping are broad—too broad for the scope of the assignment. Working with an overly broad topic, such as sexual education programs or popularized diets, can be frustrating and overwhelming. Each topic has so many facets that it would be impossible to cover them all in a college research paper. However, more specific choices, such as the pros and cons of sexual education in kids’ television programs or the physical effects of the South Beach diet, are specific enough to write about without being too narrow to sustain an entire research paper.

A good research paper provides focused, in-depth information and analysis. If your topic is too broad, you will find it difficult to do more than skim the surface when you research it and write about it. Narrowing your focus is essential to making your topic manageable. To narrow your focus, explore your topic in writing, conduct preliminary research, and discuss both the topic and the research with others.

Exploring Your Topic in Writing

“How am I supposed to narrow my topic when I haven’t even begun researching yet?” In fact, you may already know more than you realize. Review your list and identify your top two or three topics. Set aside some time to explore each one through freewriting. (For more information about freewriting, see Chapter 8 “The Writing Process: How Do I Begin?” .) Simply taking the time to focus on your topic may yield fresh angles.

Jorge knew that he was especially interested in the topic of diet fads, but he also knew that it was much too broad for his assignment. He used freewriting to explore his thoughts so he could narrow his topic. Read Jorge’s ideas.

Conducting Preliminary Research

Another way writers may focus a topic is to conduct preliminary research . Like freewriting, exploratory reading can help you identify interesting angles. Surfing the web and browsing through newspaper and magazine articles are good ways to start. Find out what people are saying about your topic on blogs and online discussion groups. Discussing your topic with others can also inspire you. Talk about your ideas with your classmates, your friends, or your instructor.

Jorge’s freewriting exercise helped him realize that the assigned topic of health and the media intersected with a few of his interests—diet, nutrition, and obesity. Preliminary online research and discussions with his classmates strengthened his impression that many people are confused or misled by media coverage of these subjects.

Jorge decided to focus his paper on a topic that had garnered a great deal of media attention—low-carbohydrate diets. He wanted to find out whether low-carbohydrate diets were as effective as their proponents claimed.

Writing at Work

At work, you may need to research a topic quickly to find general information. This information can be useful in understanding trends in a given industry or generating competition. For example, a company may research a competitor’s prices and use the information when pricing their own product. You may find it useful to skim a variety of reliable sources and take notes on your findings.

The reliability of online sources varies greatly. In this exploratory phase of your research, you do not need to evaluate sources as closely as you will later. However, use common sense as you refine your paper topic. If you read a fascinating blog comment that gives you a new idea for your paper, be sure to check out other, more reliable sources as well to make sure the idea is worth pursuing.

Review the list of topics you created in Note 11.18 “Exercise 1” and identify two or three topics you would like to explore further. For each of these topics, spend five to ten minutes writing about the topic without stopping. Then review your writing to identify possible areas of focus.

Set aside time to conduct preliminary research about your potential topics. Then choose a topic to pursue for your research paper.

Collaboration

Please share your topic list with a classmate. Select one or two topics on his or her list that you would like to learn more about and return it to him or her. Discuss why you found the topics interesting, and learn which of your topics your classmate selected and why.

A Plan for Research

Your freewriting and preliminary research have helped you choose a focused, manageable topic for your research paper. To work with your topic successfully, you will need to determine what exactly you want to learn about it—and later, what you want to say about it. Before you begin conducting in-depth research, you will further define your focus by developing a research question , a working thesis, and a research proposal.

Formulating a Research Question

In forming a research question, you are setting a goal for your research. Your main research question should be substantial enough to form the guiding principle of your paper—but focused enough to guide your research. A strong research question requires you not only to find information but also to put together different pieces of information, interpret and analyze them, and figure out what you think. As you consider potential research questions, ask yourself whether they would be too hard or too easy to answer.

To determine your research question, review the freewriting you completed earlier. Skim through books, articles, and websites and list the questions you have. (You may wish to use the 5WH strategy to help you formulate questions. See Chapter 8 “The Writing Process: How Do I Begin?” for more information about 5WH questions.) Include simple, factual questions and more complex questions that would require analysis and interpretation. Determine your main question—the primary focus of your paper—and several subquestions that you will need to research to answer your main question.

Here are the research questions Jorge will use to focus his research. Notice that his main research question has no obvious, straightforward answer. Jorge will need to research his subquestions, which address narrower topics, to answer his main question.

Using the topic you selected in Note 11.24 “Exercise 2” , write your main research question and at least four to five subquestions. Check that your main research question is appropriately complex for your assignment.

Constructing a Working ThesIs

A working thesis concisely states a writer’s initial answer to the main research question. It does not merely state a fact or present a subjective opinion. Instead, it expresses a debatable idea or claim that you hope to prove through additional research. Your working thesis is called a working thesis for a reason—it is subject to change. As you learn more about your topic, you may change your thinking in light of your research findings. Let your working thesis serve as a guide to your research, but do not be afraid to modify it based on what you learn.

Jorge began his research with a strong point of view based on his preliminary writing and research. Read his working thesis statement, which presents the point he will argue. Notice how it states Jorge’s tentative answer to his research question.

One way to determine your working thesis is to consider how you would complete sentences such as I believe or My opinion is . However, keep in mind that academic writing generally does not use first-person pronouns. These statements are useful starting points, but formal research papers use an objective voice.

Write a working thesis statement that presents your preliminary answer to the research question you wrote in Note 11.27 “Exercise 3” . Check that your working thesis statement presents an idea or claim that could be supported or refuted by evidence from research.

Creating a Research Proposal

A research proposal is a brief document—no more than one typed page—that summarizes the preliminary work you have completed. Your purpose in writing it is to formalize your plan for research and present it to your instructor for feedback. In your research proposal, you will present your main research question, related subquestions, and working thesis. You will also briefly discuss the value of researching this topic and indicate how you plan to gather information.

When Jorge began drafting his research proposal, he realized that he had already created most of the pieces he needed. However, he knew he also had to explain how his research would be relevant to other future health care professionals. In addition, he wanted to form a general plan for doing the research and identifying potentially useful sources. Read Jorge’s research proposal.

Before you begin a new project at work, you may have to develop a project summary document that states the purpose of the project, explains why it would be a wise use of company resources, and briefly outlines the steps involved in completing the project. This type of document is similar to a research proposal. Both documents define and limit a project, explain its value, discuss how to proceed, and identify what resources you will use.

Writing Your Own Research Proposal

Now you may write your own research proposal, if you have not done so already. Follow the guidelines provided in this lesson.

Key Takeaways

• Developing a research proposal involves the following preliminary steps: identifying potential ideas, choosing ideas to explore further, choosing and narrowing a topic, formulating a research question, and developing a working thesis.
• A good topic for a research paper interests the writer and fulfills the requirements of the assignment.
• Defining and narrowing a topic helps writers conduct focused, in-depth research.
• Writers conduct preliminary research to identify possible topics and research questions and to develop a working thesis.
• A good research question interests readers, is neither too broad nor too narrow, and has no obvious answer.
• A good working thesis expresses a debatable idea or claim that can be supported with evidence from research.
• Writers create a research proposal to present their topic, main research question, subquestions, and working thesis to an instructor for approval or feedback.

Writing for Success Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

Organizing Academic Research Papers: Writing a Research Proposal

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

The goal of a research proposal is to present and justify a research idea you have and to present the practical ways in which you think this research should be conducted. The forms and procedures for such research are defined by the field of study, so guidelines for research proposals are generally more exacting and less formal than a project proposal. Research proposals contain extensive literature reviews and must provide persuasive evidence that there is a need for the research study being proposed. In addition to providing rationale for the proposed research, a proposal describes detailed methodology for conducting the research consistent with requirements of the professional or academic field and a statement on anticipated outcomes and/or benefits derived from the study.

Krathwohl, David R. How to Prepare a Dissertation Proposal: Suggestions for Students in Education and the Social and Behavioral Sciences . Syracuse, NY: Syracuse University Press, 2005.

How to Approach Writing a Research Proposal

Your professor may assign the task of writing a research proposal for the following reasons:

• Develop your skills in thinking about and designing a comprehensive research study.
• Help learn how to conduct a comprehensive review of the literature to ensure a research problem has not already been answered [or you may determine the problem has been answered ineffectively] and, in so doing, become familiar with scholarship related to your topic.
• Improve your general research and writing skills.
• Practice identifying what logical steps must be taken to accomplish one's research goals.
• Nurture a sense of inquisitiveness within yourself and to help see yourself as an active participant in the process of doing scholarly research.

A proposal should contain all the key elements involved in designing a complete research study, with sufficient information that allows readers to assess the validity and usefulness of your proposed study. The only elements missing from a research proposal are the results of the study and your analysis of those results. Finally, an effective proposal is judged on the quality of your writing. It is, therefore, important that your writing is coherent, clear, and compelling.

Regardless of the research problem you are investigating and the methodology you choose, all research proposals must address the following questions:

• What do you plan to accomplish? Be clear and succient in defining the research problem and what it is you are proposing to research.
• Why do you want to do it? In addition to detailing your research design, you also must conduct a thorough review of the literature and provide convincing evidence that it is a topic worthy of study. Be sure to answer the "So what? question.
• How are you going to do it? Be sure that what you propose is doable.

Common Mistakes to Avoid

• Failure to be concise; being "all over the map" without a clear sense of purpose.
• Failure to cite landmark works in your literature review.
• Failure to delimit the contextual boundaries of your research [e.g., time, place, people, etc.].
• Failure to develop a coherent and persuasive argument for the proposed research.
• Failure to stay focused on the research question; going off on unrelated tangents.
• Sloppy or imprecise writing. Poor grammar.
• Too much detail on minor issues, but not enough detail on major issues.

Procter, Margaret. The Academic Proposal .  The Lab Report. University College Writing Centre. University of Toronto; Sanford, Keith. Information for Students: Writing a Research Proposal . Baylor University; Wong, Paul T. P. How to Write a Research Proposal . International Network on Personal Meaning. Trinity Western University; Writing Academic Proposals: Conferences, Articles, and Books . The Writing Lab and The OWL. Purdue University; Writing a Research Proposal. University Library. University of Illinois at Urbana-Champaign.

Structure and Writing Style

Beginning the Proposal Process

As with writing a traditional research paper, research proposals are generally organized the same way throughout the social sciences. Most proposals are between ten and fifteen pages in length. However, before you begin, read the assignment carefully and, if anything seems unclear, ask your professor whether there are any specific requirements for organizing and writing the proposal.

A good place to begin is to ask yourself a series of questions:

• What do I want to study, and why?
• How is it significant within the subject areas covered in my class?
• What problems will it help solve?
• How does it build upon [and hopefully go beyond] research already conducted on my topic?
• What exactly should I plan to do, and can I get it done in the time available?

In the end, your research proposal should document your knowledge of the topic and highlight enthusiasm for conducting the study. Approach it with the intention of leaving your readers feeling like--"Wow, that's an exciting idea and I can’t wait to see how it turns out!"

In general your proposal should include the following sections:

I.  Introduction

In the real world of higher education, a research proposal is most often written by scholars seeking grant funding for a research project or it's the first step in getting approval to write your doctoral dissertation. Even if this is just a course assignment, treat your introduction as the initial pitch of an idea. After reading the introduction, your readers should not only have an understanding of what you want to do, but they should also be able to sense your passion for the topic and be excited about its possible outcomes.

Think about your introduction as a narrative written in one to three paragraphs that succinctly answers the following four questions :

• What is the central research problem?
• What is the topic of study related to that problem?
• What methods should be used to analyze the research problem?
• Why is this important research, and why should someone reading the proposal care about the outcomes from the study?

II.  Background and Significance

This section can be melded into your introduction or you can create a separate section to help with the organization and flow of your proposal. This is where you explain the context of your project and outline why it's important. Approach writing this section with the thought that you can’t assume your readers will know as much about the research problem as you do. Note that this section is not an essay going over everything you have learned about the research problem; instead, you must choose what is relevant to help explain your goals for the study.

To that end, while there are no hard and fast rules, you should attempt to deal with some or all of the following:

• State the research problem and give a more detailed explanation about the purpose of the study than what you stated in the introduction.
• Present the rationale of your proposed study and clearly indicate why it is worth doing. Answer the "So what? question [i.e., why should anyone care].
• Describe the major issues or problems to be addressed by your research.
• Explain how you plan to go about conducting your research. Clearly identify the key sources you intend to use and explain how they will contribute to the analysis of your topic.
• Set the boundaries of your proposed research in order to provide a clear focus.
• Provide definitions of key concepts or terms, if necessary.

III.  Literature Review

Connected to the background and significance of your study is a more deliberate review and synthesis of prior studies related to the research problem under investigation . The purpose here is to place your project within the larger whole of what is currently being explored, while demonstrating to your readers that your work is original and innovative. Think about what questions other researchers have asked, what methods they've used, and what is your understanding of their findings. Assess what you believe is still missing, and state how previous research has failed to examine the issue that your study addresses.

Since a literature review is information dense, it is crucial that this section is intelligently structured to enable a reader to grasp the key arguments underpinning your study in relation to that of other researchers. A good strategy is to break the literature into "conceptual categories" [themes] rather than systematically describing materials one at a time.

To help frame your proposal's literature review, here are the "five C’s" of writing a literature review:

• Cite : keep the primary focus on the literature pertinent to your research problem.
• Compare the various arguments, theories, methodologies, and findings expressed in the literature: what do the authors agree on? Who applies similar approaches to analyzing the research problem?
• Contrast the various arguments, themes, methodologies, approaches and controversies expressed in the literature: what are the major areas of disagreement, controversy, or debate?
• Critique the literature: Which arguments are more persuasive, and why? Which approaches, findings, methodologies seem most reliable, valid, or appropriate, and why? Pay attention to the verbs you use to describe what an author says/does [e.g., asserts, demonstrates, etc.] .
• Connect the literature to your own area of research and investigation: how does your own work draw upon, depart from, or synthesize what has been said in the literature?

IV.  Research Design and Methods

This section must be well-written and logically organized because you are not actually doing the research . As a consequence, the reader will never have a study outcome from which to evaluate whether your methodological choices were the correct ones. The objective here is to ensure that the reader is convinced that your overall research design and methods of analysis will correctly address the research problem. Your design and methods should be absolutely and unmistakably tied to the specific aims of your study.

Describe the overall research design by building upon and drawing examples from your review of the literature. Be specific about the methodological approaches you plan to undertake to collect information, about the techniques you will use to analyze it, and about tests of external validity to which you commit yourself [i.e., the trustworthiness by which you can generalize from your study to other people, places or times].

When describing the methods you will use, be sure to cover these issues:

• Specify the research operations you will undertake and the way you will interpret the results of these operations in relation to your research problem. Don't just describe what you intend to achieve from applying the methods you choose, but state how you will spend your time while doing it.
• Keep in mind that a methodology is not just a list of research tasks; it is an argument as to why these tasks add up to the best way to investigate the research problem. This is an important point because the mere listing of tasks to perform does not demonstrate that they add up to the best feasible approach.
• Be sure to anticipate and acknowledge any potential barriers and pitfalls in carrying out your research design and explain how you plan to get around them.

V.  Preliminary Suppositions and Implications

Just because you don't have to actually conduct the study and analyze the results, it doesn't mean that you can skip talking about the process and potential implications . The purpose of this section is to argue how and in what ways you believe your research will refine, revise, or extend existing knowledge in the subject area under investigation. Depending on the aims and objectives of your study, describe how the anticipated results of your study will impact future scholarly research, theory, practice, forms of interventions, or policy. Note that such discussions may have either substantive [a potential new policy], theoretical [a potential new understanding], or methodological [a potential new way of analyzing] significance.   When thinking about the potential implications of your study, ask the following questions:

• What might the results mean in regards to the theoretical framework that frames the study?
• What suggestions for subsequent research could arise from the potential outcomes of the study?
• What will the results mean to practitioners in the "real world"?
• Will the results influence programs, methods, and/or forms of intervention?
• How might the results contribute to the solution of social, economic, or other types of problems?
• Will the results influence policy decisions?
• What will be improved or changed as a result of the proposed research?
• How will the results of the study be implemented, and what innovations will come about?

VI.  Conclusion

The conclusion reiterates the importance or significance of your proposal and provides a brief recap of the entire study . This section should be only one or two paragraphs long, emphasizing why your research study is unique, why it advances knowledge, and why the research problem is worth investigating.

Someone reading this section should come away with an understanding of:

• Why the study was done,
• The specific purpose of the study and the research questions it attempted to answer,
• The research design and methods used,
• The potential implications emerging from your proposed study of the research problem, and
• A sense of how your study fits within the broader scholarship about the research problem.

VII.  Citations

As with any scholarly research paper, you must cite the sources you used in composing your proposal. In a standard research proposal, this section can take two forms, so speak with your professor about which one is preferred.

• References -- lists only the literature that you actually used or cited in your proposal.
• Bibliography -- lists everything you used or cited in your proposal with additional citations of any key sources relevant to understanding the research problem.

In either case, this section should testify to the fact that you did enough preparatory work to make sure the project will complement and not duplicate the efforts of other researchers. Start a new page and use the heading "References" or "Bibliography" at the top of the page. Cited works should always use a standard format that follows the writing style advised by the discipline of your course [i.e., education=APA; history=Chicago, etc]. This section normally does not count towards the total length of your proposal.

Develop a Research Proposal: Writing the Proposal . Office of Library Information Services. Baltimore County Public Schools; Krathwohl, David R. How to Prepare a Dissertation Proposal: Suggestions for Students in Education and the Social and Behavioral Sciences. Syracuse, NY: Syracuse University Press, 2005; Procter, Margaret. The Academic Proposal . The Lab Report. University College Writing Centre. University of Toronto; Punch, Keith and Wayne McGowan. Developing and Writing a Research Proposal. In From Postgraduate to Social Scientist: A Guide to Key Skills. Nigel Gilbert, ed. (Thousand Oaks, CA: Sage, 2006), 59-81; Sanford, Keith. Information for Students: Writing a Research Proposal . Baylor University; Wong, Paul T. P. How to Write a Research Proposal . International Network on Personal Meaning. Trinity Western University; Writing Academic Proposals: Conferences, Articles, and Books . The Writing Lab and The OWL. Purdue University; Writing a Research Proposal . University Library. University of Illinois at Urbana-Champaign.

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AI Is Everybody’s Business

This briefing presents three principles to guide business leaders when making AI investments: invest in practices that build capabilities required for AI, involve all your people in your AI journey, and focus on realizing value from your AI projects. The principles are supported by the MIT CISR data monetization research, and the briefing illustrates them using examples from the Australia Taxation Office and CarMax. The three principles apply to any kind of AI, defined as technology that performs human-like cognitive tasks; subsequent briefings will present management advice distinct to machine learning and generative tools, respectively.

Access More Research!

Any visitor to the website can read many MIT CISR Research Briefings in the webpage. But site users who have signed up on the site and are logged in can download all available briefings, plus get access to additional content. Even more content is available to members of MIT CISR member organizations .

Author Barb Wixom reads this research briefing as part of our audio edition of the series. Follow the series on SoundCloud.

DOWNLOAD THE TRANSCRIPT

Today, everybody across the organization is hungry to know more about AI. What is it good for? Should I trust it? Will it take my job? Business leaders are investing in massive training programs, partnering with promising vendors and consultants, and collaborating with peers to identify ways to benefit from AI and avoid the risk of AI missteps. They are trying to understand how to manage AI responsibly and at scale.

Our book Data Is Everybody’s Business: The Fundamentals of Data Monetization describes how organizations make money using their data.[foot]Barbara H. Wixom, Cynthia M. Beath, and Leslie Owens, Data Is Everybody's Business: The Fundamentals of Data Monetization , (Cambridge: The MIT Press, 2023), https://mitpress.mit.edu/9780262048217/data-is-everybodys-business/ .[/foot] We wrote the book to clarify what data monetization is (the conversion of data into financial returns) and how to do it (by using data to improve work, wrap products and experiences, and sell informational solutions). AI technology’s role in this is to help data monetization project teams use data in ways that humans cannot, usually because of big complexity or scope or required speed. In our data monetization research, we have regularly seen leaders use AI effectively to realize extraordinary business goals. In this briefing, we explain how such leaders achieve big AI wins and maximize financial returns.

Using AI in Data Monetization

AI refers to the ability of machines to perform human-like cognitive tasks.[foot]See Hind Benbya, Thomas H. Davenport, and Stella Pachidi, “Special Issue Editorial: Artificial Intelligence in Organizations: Current State and Future Opportunities , ” MIS Quarterly Executive 19, no. 4 (December 2020), https://aisel.aisnet.org/misqe/vol19/iss4/4 .[/foot] Since 2019, MIT CISR researchers have been studying deployed data monetization initiatives that rely on machine learning and predictive algorithms, commonly referred to as predictive AI.[foot]This research draws on a Q1 to Q2 2019 asynchronous discussion about AI-related challenges with fifty-three data executives from the MIT CISR Data Research Advisory Board; more than one hundred structured interviews with AI professionals regarding fifty-two AI projects from Q3 2019 to Q2 2020; and ten AI project narratives published by MIT CISR between 2020 and 2023.[/foot] Such initiatives use large data repositories to recognize patterns across time, draw inferences, and predict outcomes and future trends. For example, the Australian Taxation Office (ATO) used machine learning, neural nets, and decision trees to understand citizen tax-filing behaviors and produce respectful nudges that helped citizens abide by Australia’s work-related expense policies. In 2018, the nudging resulted in AUD$113 million in changed claim amounts.[foot]I. A. Someh, B. H. Wixom, and R. W. Gregory, “The Australian Taxation Office: Creating Value with Advanced Analytics,” MIT CISR Working Paper No. 447, November 2020, https://cisr.mit.edu/publication/MIT_CISRwp447_ATOAdvancedAnalytics_SomehWixomGregory .[/foot]

In 2023, we began exploring data monetization initiatives that rely on generative AI.[foot]This research draws on two asynchronous generative AI discussions (Q3 2023, N=35; Q1 2024, N=34) regarding investments and capabilities and roles and skills, respectively, with data executives from the MIT CISR Data Research Advisory Board. It also draws on in-progress case studies with large organizations in the publishing, building materials, and equipment manufacturing industries.[/foot] This type of AI analyzes vast amounts of text or image data to discern patterns in them. Using these patterns, generative AI can create new text, software code, images, or videos, usually in response to user prompts. Organizations are now beginning to openly discuss data monetization initiative deployments that include generative AI technologies. For example, used vehicle retailer CarMax reported using OpenAI’s ChatGPT chatbot to help aggregate customer reviews and other car information from multiple data sets to create helpful, easy-to-read summaries about individual used cars for its online shoppers. At any point in time, CarMax has on average 50,000 cars on its website, so to produce such content without AI the company would require hundreds of content writers and years of time; using ChatGPT, the company’s content team can generate summaries in hours.[foot]Paula Rooney, “CarMax drives business value with GPT-3.5,” CIO , May 5, 2023, https://www.cio.com/article/475487/carmax-drives-business-value-with-gpt-3-5.html ; Hayete Gallot and Shamim Mohammad, “Taking the car-buying experience to the max with AI,” January 2, 2024, in Pivotal with Hayete Gallot, produced by Larj Media, podcast, MP3 audio, https://podcasts.apple.com/us/podcast/taking-the-car-buying-experience-to-the-max-with-ai/id1667013760?i=1000640365455 .[/foot]

Big advancements in machine learning, generative tools, and other AI technologies inspire big investments when leaders believe the technologies can help satisfy pent-up demand for solutions that previously seemed out of reach. However, there is a lot to learn about novel technologies before we can properly manage them. In this year’s MIT CISR research, we are studying predictive and generative AI from several angles. This briefing is the first in a series; in future briefings we will present management advice specific to machine learning and generative tools. For now, we present three principles supported by our data monetization research to guide business leaders when making AI investments of any kind: invest in practices that build capabilities required for AI, involve all your people in your AI journey, and focus on realizing value from your AI projects.

Principle 1: Invest in Practices That Build Capabilities Required for AI

Succeeding with AI depends on having deep data science skills that help teams successfully build and validate effective models. In fact, organizations need deep data science skills even when the models they are using are embedded in tools and partner solutions, including to evaluate their risks; only then can their teams make informed decisions about how to incorporate AI effectively into work practices. We worry that some leaders view buying AI products from providers as an opportunity to use AI without deep data science skills; we do not advise this.

But deep data science skills are not enough. Leaders often hire new talent and offer AI literacy training without making adequate investments in building complementary skills that are just as important. Our research shows that an organization’s progress in AI is dependent on having not only an advanced data science capability, but on having equally advanced capabilities in data management, data platform, acceptable data use, and customer understanding.[foot]In the June 2022 MIT CISR research briefing, we described why and how organizations build the five advanced data monetization capabilities for AI. See B. H. Wixom, I. A. Someh, and C. M. Beath, “Building Advanced Data Monetization Capabilities for the AI-Powered Organization,” MIT CISR Research Briefing, Vol. XXII, No. 6, June 2022, https://cisr.mit.edu/publication/2022_0601_AdvancedAICapabilities_WixomSomehBeath .[/foot] Think about it. Without the ability to curate data (an advanced data management capability), teams cannot effectively incorporate a diverse set of features into their models. Without the ability to oversee the legality and ethics of partners’ data use (an advanced acceptable data use capability), teams cannot responsibly deploy AI solutions into production.

It’s no surprise that ATO’s AI journey evolved in conjunction with the organization’s Smarter Data Program, which ATO established to build world-class data analytics capabilities, and that CarMax emphasizes that its governance, talent, and other data investments have been core to its generative AI progress.

Capabilities come mainly from learning by doing, so they are shaped by new practices in the form of training programs, policies, processes, or tools. As organizations undertake more and more sophisticated practices, their capabilities get more robust. Do invest in AI training—but also invest in practices that will boost the organization’s ability to manage data (such as adopting a data cataloging tool), make data accessible cost effectively (such as adopting cloud policies), improve data governance (such as establishing an ethical oversight committee), and solidify your customer understanding (such as mapping customer journeys). In particular, adopt policies and processes that will improve your data governance, so that data is only used in AI initiatives in ways that are consonant with your organization's values and its regulatory environment.

Principle 2: Involve All Your People in Your AI Journey

Data monetization initiatives require a variety of stakeholders—people doing the work, developing products, and offering solutions—to inform project requirements and to ensure the adoption and confident use of new data tools and behaviors.[foot]Ida Someh, Barbara Wixom, Michael Davern, and Graeme Shanks, “Configuring Relationships between Analytics and Business Domain Groups for Knowledge Integration, ” Journal of the Association for Information Systems 24, no. 2 (2023): 592-618, https://cisr.mit.edu/publication/configuring-relationships-between-analytics-and-business-domain-groups-knowledge .[/foot] With AI, involving a variety of stakeholders in initiatives helps non-data scientists become knowledgeable about what AI can and cannot do, how long it takes to deliver certain kinds of functionality, and what AI solutions cost. This, in turn, helps organizations in building trustworthy models, an important AI capability we call AI explanation (AIX).[foot]Ida Someh, Barbara H. Wixom, Cynthia M. Beath, and Angela Zutavern, “Building an Artificial Intelligence Explanation Capability,” MIS Quarterly Executive 21, no. 2 (2022), https://cisr.mit.edu/publication/building-artificial-intelligence-explanation-capability .[/foot]

For example, at ATO, data scientists educated business colleagues on the mechanics and results of models they created. Business colleagues provided feedback on the logic used in the models and helped to fine-tune them, and this interaction helped everyone understand how the AI made decisions. The data scientists provided their model results to ATO auditors, who also served as a feedback loop to the data scientists for improving the model. The data scientists regularly reported on initiative progress to senior management, regulators, and other stakeholders, which ensured that the AI team was proactively creating positive benefits without neglecting negative external factors that might surface.

Given the consumerization of generative AI tools, we believe that pervasive worker involvement in ideating, building, refining, using, and testing AI models and tools will become even more crucial to deploying fruitful AI projects—and building trust that AI will do the right thing in the right way at the right time.

Principle 3: Focus on Realizing Value From Your AI Projects

AI is costly—just add up your organization’s expenses in tools, talent, and training. AI needs to pay off, yet some organizations become distracted with endless experimentation. Others get caught up in finding the sweet spot of the technology, ignoring the sweet spot of their business model. For example, it is easy to become enamored of using generative AI to improve worker productivity, rolling out tools for employees to write better emails and capture what happened in meetings. But unless those activities materially impact how your organization makes money, there likely are better ways to spend your time and money.

Leaders with data monetization experience will make sure their AI projects realize value in the form of increased revenues or reduced expenses by backing initiatives that are clearly aligned with real challenges and opportunities. That is step one. In our research, the leaders that realize value from their data monetization initiatives measure and track their outcomes, especially their financial outcomes, and they hold someone accountable for achieving the desired financial returns. At CarMax, a cross-functional team owned the mission to provide better website information for used car shoppers, a mission important to the company’s sales goals. Starting with sales goals in mind, the team experimented with and then chose a generative AI solution that would enhance the shopper experience and increase sales.

Figure 1: Three Principles for Getting Value from AI Investments

The three principles are based on the following concepts from MIT CISR data research: 1. Data liquidity: the ease of data asset recombination and reuse 2. Data democracy: an organization that empowers employees in the access and use of data 3. Data monetization: the generation of financial returns from data assets

Managing AI Using a Data Monetization Mindset

AI has and always will play a big role in data monetization. It’s not a matter of whether to incorporate AI, but a matter of how to best use it. To figure this out, quantify the outcomes of some of your organization’s recent AI projects. How much money has the organization realized from them? If the answer disappoints, then make sure the AI technology value proposition is a fit for your organization’s most important goals. Then assign accountability for ensuring that AI technology is applied in use cases that impact your income statements. If the AI technology is not a fit for your organization, then don’t be distracted by media reports of the AI du jour.

Understanding your AI technology investments can be hard if your organization is using AI tools that are bundled in software you purchase or are built for you by a consultant. To set yourself up for success, ask your partners to be transparent with you about the quality of data they used to train their AI models and the data practices they relied on. Do their answers persuade you that their tools are trustworthy? Is it obvious that your partner is using data compliantly and is safeguarding the model from producing bad or undesired outcomes? If so, make sure this good news is shared with the people in your organization and those your organization serves. If not, rethink whether to break with your partner and find another way to incorporate the AI technology into your organization, such as by hiring people to build it in-house.

To paraphrase our book’s conclusion: When people actively engage in data monetization initiatives using AI , they learn, and they help their organization learn. Their engagement creates momentum that initiates a virtuous cycle in which people’s engagement leads to better data and more bottom-line value, which in turn leads to new ideas and more engagement, which further improves data and delivers more value, and so on. Imagine this happening across your organization as all people everywhere make it their business to find ways to use AI to monetize data.

This is why AI, like data, is everybody’s business.

© 2024 MIT Center for Information Systems Research, Wixom and Beath. MIT CISR Research Briefings are published monthly to update the center’s member organizations on current research projects.

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What is Data Monetization?

About the researchers.

Barbara H. Wixom, Principal Research Scientist, MIT Center for Information Systems Research (CISR)

Cynthia M. Beath, Professor Emerita, University of Texas and Academic Research Fellow, MIT CISR

Mit center for information systems research (cisr).

Founded in 1974 and grounded in MIT's tradition of combining academic knowledge and practical purpose, MIT CISR helps executives meet the challenge of leading increasingly digital and data-driven organizations. We work directly with digital leaders, executives, and boards to develop our insights. Our consortium forms a global community that comprises more than seventy-five organizations.

MIT CISR Associate Members

MIT CISR wishes to thank all of our associate members for their support and contributions.

MIT CISR's Mission Expand

MIT CISR helps executives meet the challenge of leading increasingly digital and data-driven organizations. We provide insights on how organizations effectively realize value from approaches such as digital business transformation, data monetization, business ecosystems, and the digital workplace. Founded in 1974 and grounded in MIT’s tradition of combining academic knowledge and practical purpose, we work directly with digital leaders, executives, and boards to develop our insights. Our consortium forms a global community that comprises more than seventy-five organizations.

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Using ideas from game theory to improve the reliability of language models

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Imagine you and a friend are playing a game where your goal is to communicate secret messages to each other using only cryptic sentences. Your friend's job is to guess the secret message behind your sentences. Sometimes, you give clues directly, and other times, your friend has to guess the message by asking yes-or-no questions about the clues you've given. The challenge is that both of you want to make sure you're understanding each other correctly and agreeing on the secret message.

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers have created a similar "game" to help improve how AI understands and generates text. It is known as a “consensus game” and it involves two parts of an AI system — one part tries to generate sentences (like giving clues), and the other part tries to understand and evaluate those sentences (like guessing the secret message).

The researchers discovered that by treating this interaction as a game, where both parts of the AI work together under specific rules to agree on the right message, they could significantly improve the AI's ability to give correct and coherent answers to questions. They tested this new game-like approach on a variety of tasks, such as reading comprehension, solving math problems, and carrying on conversations, and found that it helped the AI perform better across the board.

Traditionally, large language models answer one of two ways: generating answers directly from the model (generative querying) or using the model to score a set of predefined answers (discriminative querying), which can lead to differing and sometimes incompatible results. With the generative approach, "Who is the president of the United States?" might yield a straightforward answer like "Joe Biden." However, a discriminative query could incorrectly dispute this fact when evaluating the same answer, such as "Barack Obama."

So, how do we reconcile mutually incompatible scoring procedures to achieve coherent, efficient predictions? 

"Imagine a new way to help language models understand and generate text, like a game. We've developed a training-free, game-theoretic method that treats the whole process as a complex game of clues and signals, where a generator tries to send the right message to a discriminator using natural language. Instead of chess pieces, they're using words and sentences," says Athul Jacob, an MIT PhD student in electrical engineering and computer science and CSAIL affiliate. "Our way to navigate this game is finding the 'approximate equilibria,' leading to a new decoding algorithm called 'equilibrium ranking.' It's a pretty exciting demonstration of how bringing game-theoretic strategies into the mix can tackle some big challenges in making language models more reliable and consistent."

When tested across many tasks, like reading comprehension, commonsense reasoning, math problem-solving, and dialogue, the team's algorithm consistently improved how well these models performed. Using the ER algorithm with the LLaMA-7B model even outshone the results from much larger models. "Given that they are already competitive, that people have been working on it for a while, but the level of improvements we saw being able to outperform a model that's 10 times the size was a pleasant surprise," says Jacob. 

"Diplomacy," a strategic board game set in pre-World War I Europe, where players negotiate alliances, betray friends, and conquer territories without the use of dice — relying purely on skill, strategy, and interpersonal manipulation — recently had a second coming. In November 2022, computer scientists, including Jacob, developed “Cicero,” an AI agent that achieves human-level capabilities in the mixed-motive seven-player game, which requires the same aforementioned skills, but with natural language. The math behind this partially inspired the Consensus Game. 

While the history of AI agents long predates when OpenAI's software entered the chat in November 2022, it's well documented that they can still cosplay as your well-meaning, yet pathological friend. 

The consensus game system reaches equilibrium as an agreement, ensuring accuracy and fidelity to the model's original insights. To achieve this, the method iteratively adjusts the interactions between the generative and discriminative components until they reach a consensus on an answer that accurately reflects reality and aligns with their initial beliefs. This approach effectively bridges the gap between the two querying methods. 

In practice, implementing the consensus game approach to language model querying, especially for question-answering tasks, does involve significant computational challenges. For example, when using datasets like MMLU, which have thousands of questions and multiple-choice answers, the model must apply the mechanism to each query. Then, it must reach a consensus between the generative and discriminative components for every question and its possible answers. 

The system did struggle with a grade school right of passage: math word problems. It couldn't generate wrong answers, which is a critical component of understanding the process of coming up with the right one. 

“The last few years have seen really impressive progress in both strategic decision-making and language generation from AI systems, but we’re just starting to figure out how to put the two together. Equilibrium ranking is a first step in this direction, but I think there’s a lot we’ll be able to do to scale this up to more complex problems,” says Jacob.   

An avenue of future work involves enhancing the base model by integrating the outputs of the current method. This is particularly promising since it can yield more factual and consistent answers across various tasks, including factuality and open-ended generation. The potential for such a method to significantly improve the base model's performance is high, which could result in more reliable and factual outputs from ChatGPT and similar language models that people use daily. 

"Even though modern language models, such as ChatGPT and Gemini, have led to solving various tasks through chat interfaces, the statistical decoding process that generates a response from such models has remained unchanged for decades," says Google Research Scientist Ahmad Beirami, who was not involved in the work. "The proposal by the MIT researchers is an innovative game-theoretic framework for decoding from language models through solving the equilibrium of a consensus game. The significant performance gains reported in the research paper are promising, opening the door to a potential paradigm shift in language model decoding that may fuel a flurry of new applications."

Jacob wrote the paper with MIT-IBM Watson Lab researcher Yikang Shen and MIT Department of Electrical Engineering and Computer Science assistant professors Gabriele Farina and Jacob Andreas, who is also a CSAIL member. They presented their work at the International Conference on Learning Representations (ICLR) earlier this month, where it was highlighted as a "spotlight paper." The research also received a “best paper award” at the NeurIPS R0-FoMo Workshop in December 2023.

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MIT researchers have developed a new procedure that uses game theory to improve the accuracy and consistency of large language models (LLMs), reports Steve Nadis for Quanta Magazine . “The new work, which uses games to improve AI, stands in contrast to past approaches, which measured an AI program’s success via its mastery of games,” explains Nadis. 

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• MIT-IBM Watson AI Lab

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Public postings, public job postings at msu, job postings, proposal & capacity strengthening admin / research administrator ii, working/functional title.

Proposal & Capacity Strengthening Admin

Position Summary

The Alliance for African Partnership (AAP) is seeking an experienced, organized, enthusiastic, energetic and results-oriented professional, who has an understanding of and appreciation for working in Africa, possess a consistent level of excellent communication skills, while being able to balance a fast-paced and sometimes unpredictable environment to join its MSU-based team as a Proposal and Capacity Strengthening Administrator. This is a full-time (100%), fixed term, 12-month appointment with the possibility of renewal. ISP is currently operating under a hybrid modality structure, with staff working three days in person and two days remotely.

About the Alliance for African Partnership (AAP)

The AAP is a consortium of 10 leading African universities, a regional Think Tank network and Michigan State University (MSU). It was established by MSU in May 2016 to address today’s global challenges in a way that is sustainable, effective, and equitable. The vision of the AAP is to transform lives through co-created, research-driven initiatives that address shared challenges, and the mission is to initiate and support innovative, sustainable and equitable partnerships among African institutions, MSU and other collaborators. After a successful 5-year period of supporting new and innovative partnership development, AAP now requires a professional to coordinate its proposals and capacity development efforts with faculty in the AAP consortium.

Primary Responsibilities:

The successful candidate will coordinate proposal and capacity development collaborative efforts indicated below to support MSU and African faculty in the AAP consortium in the seven AAP priority areas with gender and inclusion as cross cutting, including other duties for the AAP on projects as needed:

  Faculty Teams Proposal Development

• Work with faculty in the AAP consortium to identify and organize proposal teams to submit concept notes and grant proposals to external funding agencies;
• Coordinate preparation of proposals by reviewing funding opportunities; creating proposal development timelines, matrices, and outlines; setting and monitoring internal deadlines; organizing and tracking inputs and drafts; and facilitating proposal team meetings;
• Contribute to all aspects of technical applications, including preparing templates, sharing relevant language from past proposals, writing capacity statements, collecting and editing personnel documents, and drafting text for institutional management sections and relevant annexes;
• Collaborate with the relevant department fiscal officer and contribute to proposal financial applications by reviewing budgets and budget justifications; assisting, as needed, with funder-required cost forms, certifications, and representations; drafting language regarding past performance and exemption requests; and facilitating institutional approvals and signatures on financial documents;
• Liaise internally at MSU and externally with AAP consortium members to prepare and process collaborative team agreements, memoranda of understanding, and sub-recipient awards;
• Prepare proposals for submission, including compiling application packages and uploading them in MSU internal (Kuali Coeus) and external (funder-specific) electronic systems;
• Work with faculty and OSP to ensure high-quality, timely application submissions that are compliant with MSU and funder rules and regulations;
• Maintain records and copies of submitted applications and proposal resources; contribute to unit annual reporting and metrics.

  Capacity building and partnership development

• Initiate and develop programs for strengthening capacity for proposal development across the AAP consortium;
• Support programs for strengthening capacity of faculty and professional staff on equitable partnership development and other relevant areas across the AAP consortium;
• Identify calls for proposals for AAP faculty and provide insights and recommendations to the AAP Directors and to AAP faculty and administrators;
• Participate in outreach to AAP consortium faculty and staff regarding services and processes.

  AAP Programming

• Provide insights to the AAP leadership on funding opportunities available from a network of funders such as individual donors, private foundations, governments, development banks etc to support the sustainability of the AAP;
• Liaise with the AAP Communications team to outreach to university faculty and staff regarding AAP’s services and processes as it relates to proposal and capacity strengthening;
• Support the preparation of the AAP semi-annual and annual reports including working with the AAP M&E team to compile data and develop data visuals that shows AAP’s resource mobilization;
• Support the pre-award processes for AAP grant programs including Africa GPS, PIRA, TI, Graduate Students Research Fellowships and others;
• Serve as a liaison with MSU International Advancement regarding pre-award processes for international scholarship and engagement;
• Serve as a member for the Resource Mobilization Team.  

The International Studies and Programs (ISP) at Michigan State University is committed to achieving excellence by creating and sustaining an accessible and inclusive culture that values cultural and academic diversity. We are an equal opportunity/affirmative action employer. The ISP is particularly interested in candidates of all backgrounds who are committed to the principle that academic excellence is achieved through open access and proactive inclusion.

Unit Specific Education/Experience/Skills

Knowledge normally acquired by completing a four-year college degree program in business administration, finance, or a relevant research-related field; one to three years of related and progressively more responsible or expansive work experience in proposal and budget development for foundation and government funding agencies such as USAID, Dept of State, NSF; and capacity development for international research, research administration including the area of pre-award processes, or related field such as regulatory administration; or an equivalent combination of education and experience. This position requires completion of Essentials of Research Administration (MSU Certificate) or equivalent within one year of hire.

Desired Qualifications

• Masters degree program in a relevant research-related field
• International research experience in East, West and/or Southern Africa
• Strong writing and proof-reading skills
• Prior experience with Kuali-Coeus system
• Excellent verbal and non-verbal communication skills and the ability to interact effectively with diverse audiences, particularly internationally
• Demonstrated knowledge of the priorities and best practices for preparing proposals for consideration by external funders as well as external funders rules and regulations
• Demonstrated ability to work independently on and complete assigned tasks with specific deadlines including multi-tasking
• Demonstrated experience with virtual environments, project implementation and coordination
• Experience in the use of word processing, spreadsheet, database, and presentation software
• Ability to respond effectively to changes in priorities on projects and activities
• Ability to travel in-state, out-of-state and internationally

Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.

Required Application Materials

Resume and letter of interest

STANDARD 8-5

Description of End Date

This is an off dated position funded for one year from the date of hire with possible extension contingent upon funding renewal.

HTTPS://AAP.ISP.MSU.EDU/

Remote Work Statement

MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.

Bidding eligibility ends May 21, 2024 at 11:55 P.M.

Advertised: May 15, 2024 Eastern Daylight Time Applications close: May 28, 2024 Eastern Daylight Time

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Department of Agricultural, Food, and Resource Economics Innovation Lab for Food Security Policy, Research, Capacity and Influence

Effect of Pesticide Use on Crop Production and Food Security in Uganda

May 14, 2024 - Linda Nakato, Umar Kabanda, Pauline Nakitende, Tess Lallemant & Milu Muyanga

The increasing pest proliferation has continued to cause a serious threat to food security in Uganda. This study explores the impact of pesticide adoption on food security in Uganda. Specifically, it seeks to assess whether the use of pesticides ensures food security, with crop productivity serving as an intervening variable. Employing the control function approach with fixed effects estimation on a dataset comprising 1,656 households spanning the periods 2013/2014, 2016/2015, and 2018/19 to 2019/20 obtained from the Uganda National Panel Survey, the study reveals several determinants influencing pesticide use in Uganda. The findings also highlight that the adoption of pesticides demonstrates a positive influence on crop productivity. However, when assessed through indicators such as Food Consumption Score (FCS), Minimum Acceptable Household Food Consumption (MAHFP), and Household Dietary Diversity Score (HDDS) at the pre-harvest stage, the results do not indicate a statistically significant correlation of pesticide use and food security outcomes. Consequently, beyond enhanced crop productivity and the pre-harvest activities focused on in the study, it is imperative to consider the post-harvest application of pesticides to comprehensively explain how pesticide use effects food security in Uganda. Based on the positive link between pesticides and crop productivity, its recommended that government should increase awareness on and access of insecticides among farmers. Given that insects are the main pests damaging crops in Uganda. It is also important for Uganda to reform and reactive a regulatory framework having a licensing system to regulate private local market dealers’ sale of pesticides. Given that the majority of the households purchase their pesticides from private traders in the local/village market. This approach might improve the quality of pesticide purchased by farmers and, increase pesticide use to diversify produce of more nutritious foods, to ultimately enhance access and nutrient intake per meal in Uganda.

 Pesticide use, crop productivity, food security.

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Home » Proposal – Types, Examples, and Writing Guide

Proposal – Types, Examples, and Writing Guide

Table of Contents

Definition:

Proposal is a formal document or presentation that outlines a plan, idea, or project and seeks to persuade others to support or adopt it. Proposals are commonly used in business, academia, and various other fields to propose new initiatives, solutions to problems, research studies, or business ventures.

Proposal Layout

While the specific layout of a proposal may vary depending on the requirements or guidelines provided by the recipient, there are some common sections that are typically included in a standard proposal. Here’s a typical layout for a proposal:

• The title of the proposal.
• Your name or the name of your organization.
• Date of submission.
• A list of sections or headings with corresponding page numbers for easy navigation.
• An overview of the proposal, highlighting its key points and benefits.
• Summarize the problem or opportunity.
• Outline the proposed solution or project.
• Mention the expected outcomes or deliverables.
• Keep it concise and compelling.
• Provide background information about the issue or context.
• Explain the purpose and objectives of the proposal.
• Clarify the problem statement or opportunity that the proposal aims to address.
• Describe in detail the methodology , approach , or plan to achieve the objectives.
• Outline the steps or tasks involved in implementing the proposal.
• Explain how the proposed solution or project will be executed.
• Include a timeline or schedule to demonstrate the project’s timeline.
• Define the specific activities, tasks, or services to be provided.
• Clarify the deliverables and expected outcomes.
• Mention any limitations or exclusions, if applicable.
• Provide a detailed breakdown of the costs associated with the proposal.
• Include itemized expenses such as personnel, materials, equipment, and any other relevant costs.
• If applicable, include a justification for each cost.
• Introduce the individuals or team members involved in the proposal.
• Highlight their qualifications, expertise, and experience relevant to the project.
• Include their roles and responsibilities.
• Specify how the success of the proposal will be measured.
• Define evaluation criteria and metrics to assess the outcomes.
• Explain how progress will be tracked and reported.
• Recap the main points of the proposal.
• Reiterate the benefits and advantages of the proposed solution.
• Emphasize the value and importance of supporting or adopting the proposal.
• Include any additional documents, references, charts, graphs, or data that support your proposal.
• These can include resumes, letters of support, financial projections, or relevant research materials.

Types of Types of Proposals

When it comes to proposals, there are various types depending on the context and purpose. Here are some common types of proposals:

Business Proposal

This type of proposal is used in the business world to present a plan, idea, or project to potential clients, investors, or partners. It typically includes an executive summary, problem statement, proposed solution, timeline, budget, and anticipated outcomes.

Project Proposal

A project proposal is a detailed document that outlines the objectives, scope, methodology, deliverables, and budget of a specific project. It is used to seek approval and funding from stakeholders or clients.

Research Proposal

Research proposals are commonly used in academic or scientific settings. They outline the research objectives, methodology, timeline, expected outcomes, and potential significance of a research study. These proposals are submitted to funding agencies, universities, or research institutions.

Grant Proposal

Non-profit organizations, researchers, or individuals seeking funding for a project or program often write grant proposals. These proposals provide a detailed plan of the project, including goals, methods, budget, and expected outcomes, to convince grant-making bodies to provide financial support.

Sales Proposal

Sales proposals are used by businesses to pitch their products or services to potential customers. They typically include information about the product/service, pricing, features, benefits, and a persuasive argument to encourage the recipient to make a purchase.

Sponsorship Proposal

When seeking sponsorship for an event, sports team, or individual, a sponsorship proposal is created. It outlines the benefits for the sponsor, the exposure they will receive, and the financial or in-kind support required.

Marketing Proposal

A marketing proposal is developed by marketing agencies or professionals to present their strategies and tactics to potential clients. It includes an analysis of the target market, proposed marketing activities, budget, and expected results.

Policy Proposal

In the realm of government or public policy, individuals or organizations may create policy proposals to suggest new laws, regulations, or changes to existing policies. These proposals typically provide an overview of the issue, the proposed solution, supporting evidence, and potential impacts.

Training Proposal

Organizations often create training proposals to propose a training program for their employees. These proposals outline the training objectives, topics to be covered, training methods, resources required, and anticipated outcomes.

Partnership Proposal

When two or more organizations or individuals wish to collaborate or form a partnership, a partnership proposal is used to present the benefits, shared goals, responsibilities, and terms of the proposed partnership.

Event Proposal

Event planners or individuals organizing an event, such as a conference, concert, or wedding, may create an event proposal. It includes details about the event concept, venue, logistics, budget, marketing plan, and anticipated attendee experience.

Technology Proposal

Technology proposals are used to present new technological solutions, system upgrades, or IT projects to stakeholders or decision-makers. These proposals outline the technology requirements, implementation plan, costs, and anticipated benefits.

Construction Proposal

Contractors or construction companies create construction proposals to bid on construction projects. These proposals include project specifications, cost estimates, timelines, materials, and construction methodologies.

Book Proposal

Authors or aspiring authors create book proposals to pitch their book ideas to literary agents or publishers. These proposals include a synopsis of the book, target audience, marketing plan, author’s credentials, and sample chapters.

Social Media Proposal

Social media professionals or agencies create social media proposals to present their strategies for managing social media accounts, creating content, and growing online presence. These proposals include an analysis of the current social media presence, proposed tactics, metrics for success, and pricing.

Training and Development Proposal

Similar to training proposals, these proposals focus on the overall development and growth of employees within an organization. They may include plans for leadership development, skill enhancement, or professional certification programs.

Consulting Proposal

Consultants create consulting proposals to present their services and expertise to potential clients. These proposals outline the problem statement, proposed approach, scope of work, timeline, deliverables, and fees.

Policy Advocacy Proposal

Organizations or individuals seeking to influence public policy or advocate for a particular cause create policy advocacy proposals. These proposals present research, evidence, and arguments to support a specific policy change or reform.

Website Design Proposal

Web designers or agencies create website design proposals to pitch their services to clients. These proposals outline the project scope, design concepts, development process, timeline, and pricing.

Environmental Proposal

Environmental proposals are created to address environmental issues or propose conservation initiatives. These proposals may include strategies for renewable energy, waste management, biodiversity preservation, or sustainable practices.

Health and Wellness Proposal

Proposals related to health and wellness can cover a range of topics, such as wellness programs, community health initiatives, healthcare system improvements, or health education campaigns.

Human Resources (HR) Proposal

HR professionals may create HR proposals to introduce new policies, employee benefits programs, performance evaluation systems, or employee training initiatives within an organization.

Nonprofit Program Proposal

Nonprofit organizations seeking funding or support for a specific program or project create nonprofit program proposals. These proposals outline the program’s objectives, activities, target beneficiaries, budget, and expected outcomes.

Government Contract Proposal

When bidding for government contracts, businesses or contractors create government contract proposals. These proposals include details about the project, compliance with regulations, cost estimates, and qualifications.

Product Development Proposal

Businesses or individuals seeking to develop and launch a new product present product development proposals. These proposals outline the product concept, market analysis, development process, production costs, and marketing strategies.

Feasibility Study Proposal

Feasibility study proposals are used to assess the viability and potential success of a project or business idea. These proposals include market research, financial analysis, risk assessment, and recommendations for implementation.

Educational Program Proposal

Educational institutions or organizations create educational program proposals to introduce new courses, curricula, or educational initiatives. These proposals outline the program objectives, learning outcomes, curriculum design, and resource requirements.

Social Service Proposal

Organizations involved in social services, such as healthcare, community development, or social welfare, create social service proposals to seek funding, support, or partnerships. These proposals outline the social issue, proposed interventions, anticipated impacts, and sustainability plans.

Proposal Writing Guide

Here’s a step-by-step guide to help you with proposal writing:

• Understand the Requirements: Before you begin writing your proposal, carefully review any guidelines, instructions, or requirements provided by the recipient or organization. This will ensure that you meet their expectations and include all necessary information.
• Research and Gather Information: Conduct thorough research on the topic or project you are proposing. Collect relevant data, statistics, case studies, and any supporting evidence that strengthens your proposal. This will demonstrate your knowledge and credibility.
• Define the Problem or Opportunity: Clearly identify and articulate the problem or opportunity that your proposal aims to address. Provide a concise and compelling explanation of why it is important and relevant.
• State Your Objectives: Outline the specific objectives or goals of your proposal. What do you hope to achieve? Make sure your objectives are clear, measurable, and aligned with the needs of the recipient.
• Present Your Solution: Propose your solution or approach to the problem. Describe how your solution is unique, innovative, and effective. Provide a step-by-step plan or methodology, highlighting key activities, deliverables, and timelines.
• Demonstrate Benefits and Impact: Clearly outline the benefits and impact of your proposal. Explain how it will add value, solve the problem, or create positive change. Use evidence and examples to support your claims.
• Develop a Budget: If applicable, include a detailed budget that outlines the costs associated with implementing your proposal. Be transparent and realistic about expenses, and clearly explain how the funding will be allocated.
• Address Potential Risks and Mitigation Strategies: Identify any potential risks, challenges, or obstacles that may arise during the implementation of your proposal. Offer strategies or contingency plans to mitigate these risks and ensure the success of your project.
• Provide Supporting Documentation: Include any supporting documents that add credibility to your proposal. This may include resumes or bios of key team members, letters of support or partnership, relevant certifications, or past success stories.
• Write Clearly and Concisely: Use clear and concise language to communicate your ideas effectively. Avoid jargon or technical terms that may confuse or alienate the reader. Structure your proposal with headings, subheadings, and bullet points to enhance readability.
• Proofread and Edit: Carefully review your proposal for grammar, spelling, and formatting errors. Ensure that it is well-organized, coherent, and flows logically. Consider asking someone else to review it for feedback and suggestions.
• Include a Professional Cover Letter: If appropriate, attach a cover letter introducing your proposal. This letter should summarize the key points, express your enthusiasm, and provide contact information for further discussion.
• Follow Submission Instructions: Follow the specific instructions for submitting your proposal. This may include submitting it electronically, mailing it, or delivering it in person. Pay attention to submission deadlines and any additional requirements.
• Follow Up: After submitting your proposal, consider following up with the recipient to ensure they received it and address any questions or concerns they may have. This shows your commitment and professionalism.

Purpose of Proposal

The purpose of a proposal is to present a plan, idea, project, or solution to a specific audience in a persuasive and compelling manner. Proposals are typically written documents that aim to:

• Convince and Persuade: The primary purpose of a proposal is to convince the recipient or decision-makers to accept and support the proposed plan or idea. It is important to present a strong case, providing evidence, logical reasoning, and clear benefits to demonstrate why the proposal should be approved.
• Seek Approval or Funding: Proposals often seek approval or funding for a project, program, research study, business venture, or initiative. The purpose is to secure the necessary resources, whether financial, human, or technical, to implement the proposed endeavor.
• Solve Problems or Address Opportunities: Proposals are often developed in response to a problem, challenge, or opportunity. The purpose is to provide a well-thought-out solution or approach that effectively addresses the issue or leverages the opportunity for positive outcomes.
• Present a Comprehensive Plan : Proposals outline a comprehensive plan, including objectives, strategies, methodologies, timelines, budgets, and anticipated outcomes. The purpose is to demonstrate the feasibility, practicality, and potential success of the proposed plan.
• Inform and Educate: Proposals provide detailed information and analysis to educate the audience about the subject matter. They offer a thorough understanding of the problem or opportunity, the proposed solution, and the potential impact.
• Establish Credibility: Proposals aim to establish the credibility and expertise of the individual or organization presenting the proposal. They demonstrate the knowledge, experience, qualifications, and track record that make the proposer capable of successfully executing the proposed plan.
• I nitiate Collaboration or Partnerships: Proposals may serve as a means to initiate collaboration, partnerships, or contractual agreements. They present an opportunity for individuals, organizations, or entities to work together towards a common goal or project.
• Provide a Basis for Decision-Making: Proposals offer the information and analysis necessary for decision-makers to evaluate the merits and feasibility of the proposed plan. They provide a framework for informed decision-making, allowing stakeholders to assess the risks, benefits, and potential outcomes.

When to write a Proposal

Proposals are typically written in various situations when you need to present a plan, idea, or project to a specific audience. Here are some common scenarios when you may need to write a proposal:

• Business Opportunities: When you identify a business opportunity, such as a potential client or partnership, you may write a proposal to pitch your products, services, or collaboration ideas.
• Funding or Grants: If you require financial support for a project, research study, non-profit program, or any initiative, you may need to write a proposal to seek funding from government agencies, foundations, or philanthropic organizations.
• Project Planning: When you plan to undertake a project, whether it’s a construction project, software development, event organization, or any other endeavor, writing a project proposal helps outline the objectives, deliverables, timelines, and resource requirements.
• Research Studies: In academic or scientific settings, researchers write research proposals to present their study objectives, research questions, methodology, anticipated outcomes, and potential significance to funding bodies, universities, or research institutions.
• Business Development: If you’re expanding your business, launching a new product or service, or entering a new market, writing a business proposal helps outline your plans, strategies, market analysis, and financial projections to potential investors or partners.
• Partnerships and Collaborations: When seeking partnerships, collaborations, or joint ventures with other organizations or individuals, writing a partnership proposal helps communicate the benefits, shared goals, responsibilities, and terms of the proposed partnership.
• Policy or Advocacy Initiatives: When advocating for a particular cause, addressing public policy issues, or proposing policy changes, writing a policy proposal helps outline the problem, proposed solutions, supporting evidence, and potential impacts.
• Contract Bidding: If you’re bidding for contracts, whether in government or private sectors, writing a proposal is necessary to present your capabilities, expertise, resources, and pricing to potential clients or procurement departments.
• Consulting or Service Contracts: If you offer consulting services, professional expertise, or specialized services, writing a proposal helps outline your approach, deliverables, fees, and timeline to potential clients.

Importance of Proposal

Proposals play a significant role in numerous areas and have several important benefits. Here are some key reasons why proposals are important:

• Communication and Clarity: Proposals serve as a formal means of communication, allowing you to clearly articulate your plan, idea, or project to others. By presenting your proposal in a structured format, you ensure that your message is conveyed effectively, minimizing misunderstandings and confusion.
• Decision-Making Tool: Proposals provide decision-makers with the necessary information and analysis to make informed choices. They offer a comprehensive overview of the proposal, including objectives, strategies, timelines, budgets, and anticipated outcomes. This enables stakeholders to evaluate the proposal’s feasibility, alignment with goals, and potential return on investment.
• Accountability and Documentation: Proposals serve as a written record of commitments, responsibilities, and expectations. Once a proposal is approved, it becomes a reference point for all parties involved, ensuring that everyone is on the same page and accountable for their roles and obligations.
• Planning and Organization: Writing a proposal requires thorough planning and organization. It compels you to define objectives, outline strategies, consider potential risks, and create a timeline. This process helps you think critically about the proposal, identifying strengths, weaknesses, and areas that require further refinement.
• Persuasion and Influence: Proposals are persuasive documents that aim to convince others to support or approve your plan. By presenting a well-constructed proposal, supported by evidence, logical reasoning, and benefits, you enhance your ability to influence decision-makers and stakeholders.
• Resource Allocation and Funding: Many proposals are written to secure resources, whether financial, human, or technical. A compelling proposal can increase the likelihood of obtaining funding, grants, or other resources needed to execute a project or initiative successfully.
• Partnership and Collaboration Opportunities: Proposals enable you to seek partnerships, collaborations, or joint ventures with other organizations or individuals. By presenting a clear proposal that outlines the benefits, shared goals, responsibilities, and terms, you increase the likelihood of forming mutually beneficial relationships.
• Professionalism and Credibility: A well-written proposal demonstrates professionalism, expertise, and credibility. It showcases your ability to analyze complex issues, develop effective strategies, and present ideas in a concise and persuasive manner. This can enhance your reputation and increase trust among stakeholders.
• Continual Improvement: The process of writing proposals encourages you to refine your ideas, explore alternatives, and seek feedback. It provides an opportunity for reflection and refinement, ultimately leading to continuous improvement in your plans and approaches.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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Justice Department takes 'major step' toward rescheduling marijuana

WASHINGTON — The Justice Department took a significant step toward rescheduling marijuana Thursday, formalizing its process to reclassify the drug as lower-risk and remove it from a category in which it has been treated as more dangerous than fentanyl and meth.

President Joe Biden announced the “major” move in a direct-to-camera video posted to his official account on X. “This is monumental,” Biden said in the message. “It’s an important move towards reversing long-standing inequities. … Far too many lives have been upended because of a failed approach to marijuana, and I’m committed to righting those wrongs. You have my word on it.”

The Biden administration has been signaling that it would move to reschedule the drug from Schedule I — a strict classification including drugs like heroin — to the less-stringent Schedule III, which would for the first time acknowledge the drug’s medical benefits at the federal level. The Drug Enforcement Administration submitted a notice of proposed rulemaking in the Federal Register on Thursday afternoon, triggering a 60-day comment period that will allow members of the public to submit remarks regarding the rescheduling proposal before it is finalized.

Biden first directed federal agencies to review how marijuana is scheduled in October 2022, weeks before that year’s midterm elections. The process was led by the DOJ and the Department of Health and Human Services.

“Look folks, no one should be in jail for merely using or possessing marijuana. Period,” Biden said in Thursday’s video, his third time speaking extensively on the topic since his directive two years ago.

The second time Biden addressed the issue was during this year’s State of the Union address, making history by referring to marijuana from the dais in the House chamber. “No one should be jailed for using or possessing marijuana,” he said at the time.

Vice President Kamala Harris also released a video Thursday, hailing the progress.

“Currently marijuana is classified on the same level as heroin and more dangerous than fentanyl. We are finally changing that,” Harris said. “We are on the road to getting it done.”

During the first 30 days of the comment period, interested parties could request a hearing regarding the rescheduling proposal. Under the statute, the DEA would be required to hold a hearing before an administrative law judge.

After the DEA reviews and considers the public comments, and at the conclusion of any requested hearing, the DEA will issue a final order to reschedule marijuana. (The DEA could decline to reschedule the drug but that’s unlikely given the administration’s strong support).

The entire process can take anywhere from a few months to up to a year.

Once completed, federal scientists will be able to research and study the potential medical benefits of the drug for the first time since the Controlled Substances Act was enacted in 1971. It could also open the door for pharmaceutical companies to get involved with the sale and distribution of medical marijuana in states where it is legal.

For the $34 billion cannabis industry, the move would also eliminate significant tax burdens for businesses in states where the drug is legal, notably removing it from the IRS code’s Section 280E, which prohibits legal cannabis companies from deducting what would otherwise be ordinary business expenses.

The Justice Department’s rescheduling decision could also help shrink the black market, which has thrived despite legalization in states like New York and California, and has undercut legal markets, which are fiercely regulated and highly taxed.

Dr. Kevin Sabet, president of the anti-marijuana legalization group Smart Approaches to Marijuana, blasted the decision. “It’s become undeniable that politics, not science, is driving this decision and has been since the very beginning. This decision won’t legalize marijuana, and it won’t release anyone from prison or jail,” Sabet said. “This is setting the stage to create the Big Tobacco of our time.”

During his time in office, Biden issued pardons for prior federal offenses of simple possession of marijuana and issued a proclamation granting additional pardons for simple possession, attempted simple possession and use of the drug.

The White House has also urged governors to do the same in their states and some have heeded the call, including in Oregon and Massachusetts.

Democrats in Congress are pursuing a partisan effort to remove cannabis entirely from the Controlled Substances Act, empowering states to create their own cannabis laws and prioritize restorative and economic justice for those affected by the “war on drugs.”

“Congress must do everything we can to end the federal prohibition on cannabis and address long-standing harms caused by the War on Drugs,” Senate Majority Leader Chuck Schumer, D-N.Y., said earlier this month.

Julie Tsirkin is a correspondent covering Capitol Hill.

Monica Alba is a White House correspondent for NBC News.

Microsoft Research Blog

Microsoft at chi 2024: innovations in human-centered design.

Published May 15, 2024

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The ways people engage with technology, through its design and functionality, determine its utility and acceptance in everyday use, setting the stage for widespread adoption. When computing tools and services respect the diversity of people’s experiences and abilities, technology is not only functional but also universally accessible. Human-computer interaction (HCI) plays a crucial role in this process, examining how technology integrates into our daily lives and exploring ways digital tools can be shaped to meet individual needs and enhance our interactions with the world.

The ACM CHI Conference on Human Factors in Computing Systems is a premier forum that brings together researchers and experts in the field, and Microsoft is honored to support CHI 2024 as a returning sponsor. We’re pleased to announce that 33 papers by Microsoft researchers and their collaborators have been accepted this year, with four winning the Best Paper Award and seven receiving honorable mentions.

This research aims to redefine how people work, collaborate, and play using technology, with a focus on design innovation to create more personalized, engaging, and effective interactions. Several projects emphasize customizing the user experience to better meet individual needs, such as exploring the potential of large language models (LLMs) to help reduce procrastination. Others investigate ways to boost realism in virtual and mixed reality environments, using touch to create a more immersive experience. There are also studies that address the challenges of understanding how people interact with technology. These include applying psychology and cognitive science to examine the use of generative AI and social media, with the goal of using the insights to guide future research and design directions. This post highlights these projects.

Microsoft Research Podcast

AI Frontiers: Models and Systems with Ece Kamar

Ece Kamar explores short-term mitigation techniques to make these models viable components of the AI systems that give them purpose and shares the long-term research questions that will help maximize their value. 

Best Paper Award recipients

DynaVis: Dynamically Synthesized UI Widgets for Visualization Editing   Priyan Vaithilingam, Elena L. Glassman, Jeevana Priya Inala , Chenglong Wang   GUIs used for editing visualizations can overwhelm users or limit their interactions. To address this, the authors introduce DynaVis, which combines natural language interfaces with dynamically synthesized UI widgets, enabling people to initiate and refine edits using natural language.  

Generative Echo Chamber? Effects of LLM-Powered Search Systems on Diverse Information Seeking   Nikhil Sharma, Q. Vera Liao , Ziang Xiao   Conversational search systems powered by LLMs potentially improve on traditional search methods, yet their influence on increasing selective exposure and fostering echo chambers remains underexplored. This research suggests that LLM-driven conversational search may enhance biased information querying, particularly when the LLM’s outputs reinforce user views, emphasizing significant implications for the development and regulation of these technologies.  

Piet: Facilitating Color Authoring for Motion Graphics Video   Xinyu Shi, Yinghou Wang, Yun Wang , Jian Zhao   Motion graphic (MG) videos use animated visuals and color to effectively communicate complex ideas, yet existing color authoring tools are lacking. This work introduces Piet, a tool prototype that offers an interactive palette and support for quick theme changes and controlled focus, significantly streamlining the color design process.

The Metacognitive Demands and Opportunities of Generative AI   Lev Tankelevitch , Viktor Kewenig, Auste Simkute, Ava Elizabeth Scott, Advait Sarkar , Abigail Sellen , Sean Rintel   Generative AI systems offer unprecedented opportunities for transforming professional and personal work, yet they present challenges around prompting, evaluating and relying on outputs, and optimizing workflows. This paper shows that metacognition—the psychological ability to monitor and control one’s thoughts and behavior—offers a valuable lens through which to understand and design for these usability challenges.  

Honorable Mentions

B ig or Small, It’s All in Your Head: Visuo-Haptic Illusion of Size-Change Using Finger-Repositioning Myung Jin Kim, Eyal Ofek, Michel Pahud , Mike J. Sinclair, Andrea Bianchi   This research introduces a fixed-sized VR controller that uses finger repositioning to create a visuo-haptic illusion of dynamic size changes in handheld virtual objects, allowing users to perceive virtual objects as significantly smaller or larger than the actual device. 

LLMR: Real-time Prompting of Interactive Worlds Using Large Language Models   Fernanda De La Torre, Cathy Mengying Fang, Han Huang, Andrzej Banburski-Fahey, Judith Amores , Jaron Lanier   Large Language Model for Mixed Reality (LLMR) is a framework for the real-time creation and modification of interactive mixed reality experiences using LLMs. It uses novel strategies to tackle difficult cases where ideal training data is scarce or where the design goal requires the synthesis of internal dynamics, intuitive analysis, or advanced interactivity. 

Observer Effect in Social Media Use   Koustuv Saha, Pranshu Gupta, Gloria Mark, Emre Kiciman , Munmun De Choudhury   This work investigates the observer effect in behavioral assessments on social media use. The observer effect is a phenomenon in which individuals alter their behavior due to awareness of being monitored. Conducted over an average of 82 months (about 7 years) retrospectively and five months prospectively using Facebook data, the study found that deviations in expected behavior and language post-enrollment in the study reflected individual psychological traits. The authors recommend ways to mitigate the observer effect in these scenarios.

Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming   Hussein Mozannar, Gagan Bansal , Adam Fourney , Eric Horvitz   By investigating how developers use GitHub Copilot, the authors created CUPS, a taxonomy of programmer activities during system interaction. This approach not only elucidates interaction patterns and inefficiencies but can also drive more effective metrics and UI design for code-recommendation systems with the goal of improving programmer productivity. 

SharedNeRF: Leveraging Photorealistic and View-dependent Rendering for Real-time and Remote Collaboration   Mose Sakashita, Bala Kumaravel, Nicolai Marquardt , Andrew D. Wilson   SharedNeRF, a system for synchronous remote collaboration, utilizes neural radiance field (NeRF) technology to provide photorealistic, viewpoint-specific renderings that are seamlessly integrated with point clouds to capture dynamic movements and changes in a shared space. A preliminary study demonstrated its effectiveness, as participants used this high-fidelity, multi-perspective visualization to successfully complete a flower arrangement task. 

Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination   Ananya Bhattacharjee, Yuchen Zeng, Sarah Yi Xu, Dana Kulzhabayeva, Minyi Ma, Rachel Kornfield, Syed Ishtiaque Ahmed, Alex Mariakakis, Mary P. Czerwinski , Anastasia Kuzminykh, Michael Liut, Joseph Jay Williams   In this study, the authors explore the potential of LLMs for customizing academic procrastination interventions, employing a technology probe to generate personalized advice. Their findings emphasize the need for LLMs to offer structured, deadline-oriented advice and adaptive questioning techniques, providing key design insights for LLM-based tools while highlighting cautions against their use for therapeutic guidance.

Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration   Haotian Li, Yun Wang , Huamin Qu This paper evaluates data storytelling tools using a dual framework to analyze the stages of the storytelling workflow—analysis, planning, implementation, communication—and the roles of humans and AI in each stage, such as creators, assistants, optimizers, and reviewers. The study identifies common collaboration patterns in existing tools, summarizes lessons from these patterns, and highlights future research opportunities for human-AI collaboration in data storytelling.

Learn more about our work and contributions to CHI 2024, including our full list of publications , on our conference webpage .

Related publications

The metacognitive demands and opportunities of generative ai, piet: facilitating color authoring for motion graphics video, dynavis: dynamically synthesized ui widgets for visualization editing, generative echo chamber effects of llm-powered search systems on diverse information seeking, understanding the role of large language models in personalizing and scaffolding strategies to combat academic procrastination, sharednerf: leveraging photorealistic and view-dependent rendering for real-time and remote collaboration, big or small, it’s all in your head: visuo-haptic illusion of size-change using finger-repositioning, llmr: real-time prompting of interactive worlds using large language models, reading between the lines: modeling user behavior and costs in ai-assisted programming, observer effect in social media use, where are we so far understanding data storytelling tools from the perspective of human-ai collaboration, continue reading.

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Dear Colleague Letter: Joint National Science Foundation and United States Department of Agriculture National Institute of Food and Agriculture Funding Opportunity: Supporting Foundational Research in Robotics (FRR)

April 18, 2024

Dear Colleague:

Recognizing the importance of use-inspired collaborations in promoting scientific discoveries, the National Science Foundation (NSF), in collaboration with United States Department of Agriculture National Institute of Food and Agriculture (USDA/NIFA), seeks proposals to advance foundational research in agricultural robotics. These proposals should be of mutual interest to the NSF Foundational Research in Robotics (FRR) program and to USDA/NIFA .

NSF's FRR program, jointly led by the Directorate for Engineering (ENG) and the Directorate for Computer and Information Science and Engineering (CISE), supports research to create innovative robots with unprecedented new functionality. USDA/NIFA has the mission to provide leadership and funding for programs that advance agriculture-related sciences. Proposals submitted under this Dear Colleague Letter (DCL) should present a compelling vision for pioneering robots with transformative potential in agricultural contexts. It is highly suggested that potential proposers contact the USDA/NIFA program director first (listed below) with a short narrative to determine project applicability for this program. If appropriate, an NSF program director will be further consulted.

PROPOSAL SUBMISSION REQUIREMENTS

NSF is the lead agency for this collaboration. Proposals to be considered under this Dear Colleague Letter should have a title prefixed by "NIFA:" and should be submitted to the FRR program. Submissions will be evaluated in FRR review panels, following the requirements of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) ( https://new.nsf.gov/policies/pappg ), and the FRR Program Description ( https://new.nsf.gov/funding/opportunities/foundational-research-robotics-frr ). Proposals submitted under this Dear Colleague Letter must be clearly justified by important needs in agriculture and the agricultural sciences.

NSF will manage and conduct the review process of proposals submitted in accordance with NSF standards and procedures, as described in the PAPPG. USDA staff will participate in panels as observers during the discussion of USDA-focused proposals. Information about proposals and unattributed reviews of proposals will be shared with USDA staff. NSF and NIFA will meet as soon as possible after the proposals have been reviewed to formulate a set of funding recommendations consistent with the goals of this DCL. Note that if a proposal is selected for an award to be funded by NIFA, NSF will request the submitting institution withdraw their NSF proposal and submit to NIFA.

Recipients funded by NIFA will be encouraged to participate in annual FRR grantee meetings, along with recipients funded by NSF.

Interested parties are encouraged to contact the listed program directors at NSF and USDA/NIFA prior to submission.

TECHNICAL POINTS OF CONTACT

FRR Program Officers:

USDA/NIFA Program Officers:

Margaret Martonosi Assistant Director Directorate for Computer and Information Science and Engineering<

Susan Margulies Assistant Director Directorate for Engineering