what is the research proposal means

What (Exactly) Is A Research Proposal?

A simple explainer with examples + free template.

By: Derek Jansen (MBA) | Reviewed By: Dr Eunice Rautenbach | June 2020 (Updated April 2023)

Whether you’re nearing the end of your degree and your dissertation is on the horizon, or you’re planning to apply for a PhD program, chances are you’ll need to craft a convincing research proposal . If you’re on this page, you’re probably unsure exactly what the research proposal is all about. Well, you’ve come to the right place.

Overview: Research Proposal Basics

• What a research proposal is
• What a research proposal needs to cover
• How to structure your research proposal
• Example /sample proposals
• Proposal writing FAQs
• Key takeaways & additional resources

What is a research proposal?

Simply put, a research proposal is a structured, formal document that explains what you plan to research (your research topic), why it’s worth researching (your justification), and how  you plan to investigate it (your methodology). 

The purpose of the research proposal (its job, so to speak) is to convince  your research supervisor, committee or university that your research is  suitable  (for the requirements of the degree program) and  manageable  (given the time and resource constraints you will face). 

The most important word here is “ convince ” – in other words, your research proposal needs to  sell  your research idea (to whoever is going to approve it). If it doesn’t convince them (of its suitability and manageability), you’ll need to revise and resubmit . This will cost you valuable time, which will either delay the start of your research or eat into its time allowance (which is bad news). 

What goes into a research proposal?

A good dissertation or thesis proposal needs to cover the “ what “, “ why ” and” how ” of the proposed study. Let’s look at each of these attributes in a little more detail:

Your proposal needs to clearly articulate your research topic . This needs to be specific and unambiguous . Your research topic should make it clear exactly what you plan to research and in what context. Here’s an example of a well-articulated research topic:

An investigation into the factors which impact female Generation Y consumer’s likelihood to promote a specific makeup brand to their peers: a British context

As you can see, this topic is extremely clear. From this one line we can see exactly:

• What’s being investigated – factors that make people promote or advocate for a brand of a specific makeup brand
• Who it involves – female Gen-Y consumers
• In what context – the United Kingdom

So, make sure that your research proposal provides a detailed explanation of your research topic . If possible, also briefly outline your research aims and objectives , and perhaps even your research questions (although in some cases you’ll only develop these at a later stage). Needless to say, don’t start writing your proposal until you have a clear topic in mind , or you’ll end up waffling and your research proposal will suffer as a result of this.

Need a helping hand?

As we touched on earlier, it’s not good enough to simply propose a research topic – you need to justify why your topic is original . In other words, what makes it  unique ? What gap in the current literature does it fill? If it’s simply a rehash of the existing research, it’s probably not going to get approval – it needs to be fresh.

But,  originality  alone is not enough. Once you’ve ticked that box, you also need to justify why your proposed topic is  important . In other words, what value will it add to the world if you achieve your research aims?

As an example, let’s look at the sample research topic we mentioned earlier (factors impacting brand advocacy). In this case, if the research could uncover relevant factors, these findings would be very useful to marketers in the cosmetics industry, and would, therefore, have commercial value . That is a clear justification for the research.

So, when you’re crafting your research proposal, remember that it’s not enough for a topic to simply be unique. It needs to be useful and value-creating – and you need to convey that value in your proposal. If you’re struggling to find a research topic that makes the cut, watch  our video covering how to find a research topic .

It’s all good and well to have a great topic that’s original and valuable, but you’re not going to convince anyone to approve it without discussing the practicalities – in other words:

• How will you actually undertake your research (i.e., your methodology)?
• Is your research methodology appropriate given your research aims?
• Is your approach manageable given your constraints (time, money, etc.)?

While it’s generally not expected that you’ll have a fully fleshed-out methodology at the proposal stage, you’ll likely still need to provide a high-level overview of your research methodology . Here are some important questions you’ll need to address in your research proposal:

• Will you take a qualitative , quantitative or mixed -method approach?
• What sampling strategy will you adopt?
• How will you collect your data (e.g., interviews, surveys, etc)?
• How will you analyse your data (e.g., descriptive and inferential statistics , content analysis, discourse analysis, etc, .)?
• What potential limitations will your methodology carry?

So, be sure to give some thought to the practicalities of your research and have at least a basic methodological plan before you start writing up your proposal. If this all sounds rather intimidating, the video below provides a good introduction to research methodology and the key choices you’ll need to make.

How To Structure A Research Proposal

Now that we’ve covered the key points that need to be addressed in a proposal, you may be wondering, “ But how is a research proposal structured? “.

While the exact structure and format required for a research proposal differs from university to university, there are four “essential ingredients” that commonly make up the structure of a research proposal:

• A rich introduction and background to the proposed research
• An initial literature review covering the existing research
• An overview of the proposed research methodology
• A discussion regarding the practicalities (project plans, timelines, etc.)

In the video below, we unpack each of these four sections, step by step.

Research Proposal Examples/Samples

In the video below, we provide a detailed walkthrough of two successful research proposals (Master’s and PhD-level), as well as our popular free proposal template.

Proposal Writing FAQs

How long should a research proposal be.

This varies tremendously, depending on the university, the field of study (e.g., social sciences vs natural sciences), and the level of the degree (e.g. undergraduate, Masters or PhD) – so it’s always best to check with your university what their specific requirements are before you start planning your proposal.

As a rough guide, a formal research proposal at Masters-level often ranges between 2000-3000 words, while a PhD-level proposal can be far more detailed, ranging from 5000-8000 words. In some cases, a rough outline of the topic is all that’s needed, while in other cases, universities expect a very detailed proposal that essentially forms the first three chapters of the dissertation or thesis.

The takeaway – be sure to check with your institution before you start writing.

How do I choose a topic for my research proposal?

Finding a good research topic is a process that involves multiple steps. We cover the topic ideation process in this video post.

How do I write a literature review for my proposal?

While you typically won’t need a comprehensive literature review at the proposal stage, you still need to demonstrate that you’re familiar with the key literature and are able to synthesise it. We explain the literature review process here.

How do I create a timeline and budget for my proposal?

We explain how to craft a project plan/timeline and budget in Research Proposal Bootcamp .

Which referencing format should I use in my research proposal?

The expectations and requirements regarding formatting and referencing vary from institution to institution. Therefore, you’ll need to check this information with your university.

What common proposal writing mistakes do I need to look out for?

We’ve create a video post about some of the most common mistakes students make when writing a proposal – you can access that here . If you’re short on time, here’s a quick summary:

• The research topic is too broad (or just poorly articulated).
• The research aims, objectives and questions don’t align.
• The research topic is not well justified.
• The study has a weak theoretical foundation.
• The research design is not well articulated well enough.
• Poor writing and sloppy presentation.
• Poor project planning and risk management.
• Not following the university’s specific criteria.

Key Takeaways & Additional Resources

As you write up your research proposal, remember the all-important core purpose:  to convince . Your research proposal needs to sell your study in terms of suitability and viability. So, focus on crafting a convincing narrative to ensure a strong proposal.

At the same time, pay close attention to your university’s requirements. While we’ve covered the essentials here, every institution has its own set of expectations and it’s essential that you follow these to maximise your chances of approval.

By the way, we’ve got plenty more resources to help you fast-track your research proposal. Here are some of our most popular resources to get you started:

• Proposal Writing 101 : A Introductory Webinar
• Research Proposal Bootcamp : The Ultimate Online Course
• Template : A basic template to help you craft your proposal

If you’re looking for 1-on-1 support with your research proposal, be sure to check out our private coaching service , where we hold your hand through the proposal development process (and the entire research journey), step by step.

Psst… there’s more!

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

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51 Comments

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You’re most welcome. We don’t have any research proposals that we can share (the students own the intellectual property), but you might find our research proposal template useful: https://gradcoach.com/research-proposal-template/

Cheruiyot Moses Kipyegon

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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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• 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

Prevent plagiarism, run a free check.

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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If you want to cite this source, you can copy and paste the citation or click the ‘Cite this Scribbr article’ button to automatically add the citation to our free Reference Generator.

McCombes, S. & George, T. (2023, June 13). How to Write a Research Proposal | Examples & Templates. Scribbr. Retrieved 15 April 2024, from https://www.scribbr.co.uk/the-research-process/research-proposal-explained/

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What is a research proposal?

A research proposal is a type of text which maps out a proposed central research problem or question and a suggested approach to its investigation.

In many universities, including RMIT, the research proposal is a formal requirement. It is central to achieving your first milestone: your Confirmation of Candidature. The research proposal is useful for both you and the University: it gives you the opportunity to get valuable feedback about your intended research aims, objectives and design. It also confirms that your proposed research is worth doing, which puts you on track for a successful candidature supported by your School and the University. 

Although there may be specific School or disciplinary requirements that you need to be aware of, all research proposals address the following central themes:

• what   you propose to research
• why   the topic needs to be researched
• how  you plan to research it.

Purpose and audience

Before venturing into writing a research purposal, it is important to think about the  purpose  and  audience of this type of text.  Spend a moment or two to reflect on what these might be.

What do you think is the purpose of your research proposal and who is your audience?

The purpose of your research proposal is:

1. To allow experienced researchers (your supervisors and their peers) to assess whether

• the research question or problem is viable (that is, answers or solutions are possible)
• the research is worth doing in terms of its contribution to the field of study and benefits to stakeholders
• the scope is appropriate to the degree (Masters or PhD)
• you’ve understood the relevant key literature and identified the gap for your research
• you’ve chosen an appropriate methodological approach.

2. To help you clarify and focus on what you want to do, why you want to do it, and how you’ll do it. The research proposal helps you position yourself as a researcher in your field. It will also allow you to:

• systematically think through your proposed research, argue for its significance and identify the scope
• show a critical understanding of the scholarly field around your proposed research
• show the gap in the literature that your research will address
• justify your proposed research design
• identify all tasks that need to be done through a realistic timetable
• anticipate potential problems
• hone organisational skills that you will need for your research
• become familiar with relevant search engines and databases
• develop skills in research writing.

The main audience for your research proposal is your reviewers. Universities usually assign a panel of reviewers to which you need to submit your research proposal. Often this is within the first year of study for PhD candidates, and within the first six months for Masters by Research candidates.

Your reviewers may have a strong disciplinary understanding of the area of your proposed research, but depending on your specialisation, they may not. It is therefore important to create a clear context, rationale and framework for your proposed research. Limit jargon and specialist terminology so that non-specialists can comprehend it. You need to convince the reviewers that your proposed research is worth doing and that you will be able to effectively ‘interrogate’ your research questions or address the research problems through your chosen research design.

Your review panel will expect you to demonstrate:

• a clearly defined and feasible research project
• a clearly explained rationale for your research
• evidence that your research will make an original contribution through a critical review of the literature
• written skills appropriate to graduate research study.

Research and Writing Skills for Academic and Graduate Researchers Copyright © 2022 by RMIT University is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License , except where otherwise noted.

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SOC W 505/506 Foundations of Social Welfare Research

• What is a Research Proposal?
• Qualitative Research
• Quantitative Research
• General Research Methods
• IRB's and Research Ethics
• Data Management and Analysis

Information on Writing a Research Proposal

From the Sage Encyclopedia of Educational Research, Measurement and Evaluation:

Research proposals are written to propose a research project and oftentimes request funding, or sponsorship, for that research. The research proposal is used to assess the originality and quality of ideas and the feasibility of a proposed project. The goal of the research proposal is to convince others that the investigator has (a) an important idea; (b) the skills, knowledge, and resources to carry out the project; and (c) a plan to implement the project on time and within budget. This entry discusses the process of developing a research proposal and the elements of an effective proposal.

For a graduate student, a research proposal may be required to begin the dissertation process. This serves to communicate the research focus to others, such as members of the student’s dissertation committee. It also indicates the investigator’s plan of action, including a level of thoroughness and sufficient detail to replicate the study. The research proposal could also be considered as a contract, once members of the committee agree to the execution of the project.

Requirements may include:  an abstract, introduction, literature review, method section, and conclusion.  A research proposal has to clearly and concisely identify the proposed research and its importance. The background literature should support the need for the research and the potential impact of the findings.

The method section proposes a comprehensive explanation of the research design, including subjects, timeline, and data analysis. Research questions should be identified as well as measurement instruments and methods to answer the research questions. Proposals for research involving human subjects identify how the investigators will protect participants throughout their research project. 

Proposals often require engaging in an external review either by an external evaluator or advisory  board consisting of expert consultants in the field. References are included to provide documentation about the supporting literature identified in the proposal. Appendixes and supplemental materials may also be included, following the sponsoring organization’s guidelines. As a general rule, educational research proposals follow the American Psychological Association formatting guidelines and publishing standards. If funding is being requested, it is important for the proposal to identify how the research will benefit the sponsoring organization and its constituents.

The success of a research proposal depends on both the quality of the project and its presentation. A proposal may have specific goals, but if they are neither realistic nor desirable, the probability of obtaining funding is reduced. Similar to manuscripts being considered for journal articles, reviewers evaluate each research proposal to identify strengths and criticisms based on a general framework and scoring rubric determined by the sponsoring organization. Research proposals that meet the scoring criteria are considered for funding opportunities. If a proposal does not meet the scoring criteria, revisions may be necessary before resubmitting the proposal to the same or a different sponsoring organization.

Common mistakes and pitfalls can often be avoided in research proposal writing through awareness and careful planning. In an effective research proposal, the research idea is clearly stated as a problem and there is an explanation of how the proposed research addresses a demonstrable gap in the current literature. In addition, an effective proposal is well structured, frames the research question(s) within sufficient context supported by the literature, and has a timeline that is appropriate to address the focus and scope of the research project. All requirements of the sponsoring organization, including required project elements and document formatting, need to be met within the research proposal. Finally, an effective proposal is engaging and demonstrates the researcher’s passion and commitment to the research addressed.

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How to Write a Research Proposal: A Step-by-Step

By Danesh Ramuthi , Nov 29, 2023

A research proposal is a structured outline for a planned study on a specific topic. It serves as a roadmap, guiding researchers through the process of converting their research idea into a feasible project. 

The aim of a research proposal is multifold: it articulates the research problem, establishes a theoretical framework, outlines the research methodology and highlights the potential significance of the study. Importantly, it’s a critical tool for scholars seeking grant funding or approval for their research projects.

Crafting a good research proposal requires not only understanding your research topic and methodological approaches but also the ability to present your ideas clearly and persuasively. Explore Venngage’s Proposal Maker and Research Proposals Templates to begin your journey in writing a compelling research proposal.

What to include in a research proposal?

In a research proposal, include a clear statement of your research question or problem, along with an explanation of its significance. This should be followed by a literature review that situates your proposed study within the context of existing research. 

Your proposal should also outline the research methodology, detailing how you plan to conduct your study, including data collection and analysis methods.

Additionally, include a theoretical framework that guides your research approach, a timeline or research schedule, and a budget if applicable. It’s important to also address the anticipated outcomes and potential implications of your study. A well-structured research proposal will clearly communicate your research objectives, methods and significance to the readers.

How to format a research proposal?

Formatting a research proposal involves adhering to a structured outline to ensure clarity and coherence. While specific requirements may vary, a standard research proposal typically includes the following elements:

• Title Page: Must include the title of your research proposal, your name and affiliations. The title should be concise and descriptive of your proposed research.
• Abstract: A brief summary of your proposal, usually not exceeding 250 words. It should highlight the research question, methodology and the potential impact of the study.
• Introduction: Introduces your research question or problem, explains its significance, and states the objectives of your study.
• Literature review: Here, you contextualize your research within existing scholarship, demonstrating your knowledge of the field and how your research will contribute to it.
• Methodology: Outline your research methods, including how you will collect and analyze data. This section should be detailed enough to show the feasibility and thoughtfulness of your approach.
• Timeline: Provide an estimated schedule for your research, breaking down the process into stages with a realistic timeline for each.
• Budget (if applicable): If your research requires funding, include a detailed budget outlining expected cost.
• References/Bibliography: List all sources referenced in your proposal in a consistent citation style.

How to write a research proposal in 11 steps?

Writing a research proposal in structured steps ensures a comprehensive and coherent presentation of your research project. Let’s look at the explanation for each of the steps here:  

Step 1: Title and Abstract Step 2: Introduction Step 3: Research objectives Step 4: Literature review Step 5: Methodology Step 6: Timeline Step 7: Resources Step 8: Ethical considerations Step 9: Expected outcomes and significance Step 10: References Step 11: Appendices

Step 1: title and abstract.

Select a concise, descriptive title and write an abstract summarizing your research question, objectives, methodology and expected outcomes​​. The abstract should include your research question, the objectives you aim to achieve, the methodology you plan to employ and the anticipated outcomes. 

Step 2: Introduction

In this section, introduce the topic of your research, emphasizing its significance and relevance to the field. Articulate the research problem or question in clear terms and provide background context, which should include an overview of previous research in the field.

Step 3: Research objectives

Here, you’ll need to outline specific, clear and achievable objectives that align with your research problem. These objectives should be well-defined, focused and measurable, serving as the guiding pillars for your study. They help in establishing what you intend to accomplish through your research and provide a clear direction for your investigation.

Step 4: Literature review

In this part, conduct a thorough review of existing literature related to your research topic. This involves a detailed summary of key findings and major contributions from previous research. Identify existing gaps in the literature and articulate how your research aims to fill these gaps. The literature review not only shows your grasp of the subject matter but also how your research will contribute new insights or perspectives to the field.

Step 5: Methodology

Describe the design of your research and the methodologies you will employ. This should include detailed information on data collection methods, instruments to be used and analysis techniques. Justify the appropriateness of these methods for your research​​.

Step 6: Timeline

Construct a detailed timeline that maps out the major milestones and activities of your research project. Break the entire research process into smaller, manageable tasks and assign realistic time frames to each. This timeline should cover everything from the initial research phase to the final submission, including periods for data collection, analysis and report writing. 

It helps in ensuring your project stays on track and demonstrates to reviewers that you have a well-thought-out plan for completing your research efficiently.

Step 7: Resources

Identify all the resources that will be required for your research, such as specific databases, laboratory equipment, software or funding. Provide details on how these resources will be accessed or acquired. 

If your research requires funding, explain how it will be utilized effectively to support various aspects of the project. 

Step 8: Ethical considerations

Address any ethical issues that may arise during your research. This is particularly important for research involving human subjects. Describe the measures you will take to ensure ethical standards are maintained, such as obtaining informed consent, ensuring participant privacy, and adhering to data protection regulations. 

Here, in this section you should reassure reviewers that you are committed to conducting your research responsibly and ethically.

Step 9: Expected outcomes and significance

Articulate the expected outcomes or results of your research. Explain the potential impact and significance of these outcomes, whether in advancing academic knowledge, influencing policy or addressing specific societal or practical issues. 

Step 10: References

Compile a comprehensive list of all the references cited in your proposal. Adhere to a consistent citation style (like APA or MLA) throughout your document. The reference section not only gives credit to the original authors of your sourced information but also strengthens the credibility of your proposal.

Step 11: Appendices

Include additional supporting materials that are pertinent to your research proposal. This can be survey questionnaires, interview guides, detailed data analysis plans or any supplementary information that supports the main text. 

Appendices provide further depth to your proposal, showcasing the thoroughness of your preparation.

Research proposal FAQs

1. how long should a research proposal be.

The length of a research proposal can vary depending on the requirements of the academic institution, funding body or specific guidelines provided. Generally, research proposals range from 500 to 1500 words or about one to a few pages long. It’s important to provide enough detail to clearly convey your research idea, objectives and methodology, while being concise. Always check

2. Why is the research plan pivotal to a research project?

The research plan is pivotal to a research project because it acts as a blueprint, guiding every phase of the study. It outlines the objectives, methodology, timeline and expected outcomes, providing a structured approach and ensuring that the research is systematically conducted. 

A well-crafted plan helps in identifying potential challenges, allocating resources efficiently and maintaining focus on the research goals. It is also essential for communicating the project’s feasibility and importance to stakeholders, such as funding bodies or academic supervisors.

Mastering how to write a research proposal is an essential skill for any scholar, whether in social and behavioral sciences, academic writing or any field requiring scholarly research. From this article, you have learned key components, from the literature review to the research design, helping you develop a persuasive and well-structured proposal.

Remember, a good research proposal not only highlights your proposed research and methodology but also demonstrates its relevance and potential impact.

For additional support, consider utilizing Venngage’s Proposal Maker and Research Proposals Templates , valuable tools in crafting a compelling proposal that stands out.

Whether it’s for grant funding, a research paper or a dissertation proposal, these resources can assist in transforming your research idea into a successful submission.

How to write a Research Proposal: Explained with Examples

At some time in your student phase, you will have to do a Thesis or Dissertation, and for that, you will have to submit a research proposal. A Research Proposal in its most basic definition is a formally structured document that explains what, why, and how of your research. This document explains What you plan to research (your topic or theme of research), Why you are doing this research (justifying your research topic), and How you will do (your approach to complete the research). The purpose of a proposal is to convince other people apart from yourself that the work you’re doing is suitable and feasible for your academic position.

The process of writing a research proposal is lengthy and time-consuming. Your proposal will need constant edits as you keep taking your work forward and continue receiving feedback. Although, there is a structure or a template that needs to be followed. This article will guide you through this strenuous task. So, let’s get to work!

Research Proposal: Example

[ Let us take a running example throughout the article so that we cover all the points. Let us assume that we are working on a dissertation that needs to study the relationship between Gender and Money. ]

The Title is one of the first things the reader comes across. Your title should be crisp yet communicate all that you are trying to convey to the reader. In academia, a title gets even more weightage because in a sea of resources, sometimes your research project can get ignored because the title didn’t speak for itself. Therefore, make sure that you brainstorm multiple title options and see which fits the best. Many times in academic writing we use two forms of titles: the Main Title and the Subtitle. If you think that you cannot justify your research using just a Title, you can add a subtitle which will then convey the rest of your explanation.

[ Explanation through an example: Our theme is “Gender and Money”.

We can thus keep our title as: A study of “Gendered Money” in the Rural households of Delhi. ]

Insider’s Info: If you are not confident about your title in your research proposal, then write “Tentative Title” in brackets and italic below your Title. In this way, your superiors (professor or supervisor) will know that you are still working on fixing the title.

Overview / Abstract

The overview, also known as abstract and/or introduction, is the first section that you write for your proposal. Your overview should be a single paragraph that explains to the reader what your whole research will be about. In a nutshell, you will use your abstract to present all the arguments that you will be taking in detail in your thesis or research. What you can do is introduce your theme a little along with your topic and the aim of your research. But beware and do not reveal all that you have in your pocket. Make sure to spend plenty of time writing your overview because it will be used to determine if your research is worth taking forward or reading.

Existing Literature

This is one of the most important parts of your research and proposal. It should be obvious that in such a huge universe of research, the topic chosen by you cannot be the first of its kind. Therefore, you have to locate your research in the arguments or themes which are already out there. To do so, what you have to do is read the existing literature on the same topic or theme as yours. Without reading the existing literature you cannot possibly form your arguments or start your research. But to write the portion of existing literature you have to be cautious. In the course of your dissertation, at some point either before or after you submit your proposal, you will be asked to submit a “Literature Review”. Though it is very similar to existing literature, it is NOT the same.

Difference between “Literature Review” and “Existing Literature”

A literature review is a detailed essay that discusses all the material which is already out there regarding your topic. For a literature review, you will have to mention all the literature you have read and then explain how they benefit you in your field of research.

Whereas, an existing literature segment in your research proposal is the compact version of a literature review. It is a two to three-paragraph portion that locates your research topic in the larger argument. Here you need not reveal all your literature resources, but only mention the major ones which will be recurring literature throughout your research.

[ Explanation through an example: Now we know that our topic is: Our theme is “A study of “Gendered Money” in the Rural households of Delhi.”

To find the existing literature on this topic you should find academic articles relating to the themes of money, gender, economy, income, etc. ]

Insider’s Info : There is no limit when it comes to how much you read. You can read 2 articles or 20 articles for your research. The number doesn’t matter, what matters is how you use those concepts and arguments in your own thesis.

Research Gap

As you read and gather knowledge on your topic, you will start forming your own views. This might lead you to two conclusions. First, there exists a lot of literature regarding the relationship between gender and money, but they are all lacking something. Second, in the bundle of existing literature, you can bring a fresh perspective. Both of these thoughts help you in formulating your research gap. A research gap is nothing but you justifying why you should continue with your research even when it has been discussed many times already. Quoting your research gap helps you make a place for yourself in the academic world.

Based on 1st Conclusion, you can say that the research gap you found was that most of the studies done on the theme of gendered money looked at the urban situation, and with your analysis of ‘rural’ households, you will fill the gap.

Based on 2nd Conclusion, you can say that all the existing literature is mostly written from the economic point of view, but through your research, you will try to bring a feminist viewpoint to the theme of gendered money. ]

Insider’s Info : If you are unable to find a research gap for your dissertation, the best hack to fall back on is to say that all the research done up to this point have been based on western notions and social facts, but you will conduct research which holds in your localized reality.

Research Question / Hypothesis

Once you are sorted with your existing literature and have located your research gap, this section will be the easiest to tackle. A research question or hypothesis is nothing but a set of questions that you will try and answer throughout the course of your research. It is very crucial to include research questions in your proposal because this tells your superiors exactly what you plan to do. The number of questions you set for yourself can vary according to the time, resources, and finances you have. But we still recommend that you have at least three research questions stated in your proposal.

[ Explanation through an example: Now that we know what our topic is: our theme is “A study of “gendered money” in the rural households of Delhi.”

Some of the research questions you can state can be,

• Study the division for uses of wages, based on who earned it and where it is getting utilized. 
• How gender relations also play a role within the household not only in the form of kinship but in the indirect form of economics as well.
• How, even when we have the same currency signifying the meaning of money, it changes according to the source of who earned it.
• How moral values and judgments are added to the money comes from different sources. ]

Insider’s Info: If you are confused about your research question, you can look at the questions taken up by the other authors you studied and modify them according to your point of view. But we seriously recommend that the best way to do your research is by coming up with your research question on your own. Believe in yourself!

Research Methodology / Research Design

This part of the research proposal is about how you will conduct and complete your research. To understand better what research methodology is, we should first clarify the difference between methodology and method. Research Method is the technique used by you to conduct your research. A method includes the sources of collecting your data such as case studies, interviews, surveys, etc. On the other hand, Methodology is how you plan to apply your method . Your methodology determines how you execute various methods during the course of your dissertation.

Therefore, a research methodology, which is also known as research design, is where you tell your reader how you plan to do your research. You tell the step-by-step plan and then justify it. Your research methodology will inform your supervisor how you plan to use your research tools and methods.

Your methodology should explain where you are conducting the research and how. So for this research, your field will be rural Delhi. Explain why you chose to study rural households and not urban ones. Then comes the how, some of the methods you might want to opt for can be Interviews, Questionnaires, and/or Focused Group Discussions. Do not forget to mention your sample size, i.e., the number of people you plan to talk to. ]

Insider’s Info: Make sure that you justify all the methods you plan to use. The more you provide your supervisor with a justification; the more serious and formal you come out to be in front of them. Also, when you write your why down, it is hard to forget the track and get derailed from the goal.

This will not even be a section, but just 2 lines in your proposal where you will state the amount of time you plan to complete your dissertation and how you will utilize that time. This portion can also be included in your “Research Methodology” section. We have stated this as a separate subheading so that you do not miss out on this small but mighty aspect.

For this project, you can mention that you will be allocated 4 months, out of which 1 month will be utilized for fieldwork and the rest would be used for secondary research, compilation, and completion of the thesis. ]

Aim of the Research

The aim of the research is where you try to predict the result of your research. Your aim is what you wish to achieve at the end of this long process. This section also informs your supervisor how your research will be located in the ongoing larger argument corresponding to your selected topic/theme. Remember the research questions you set up for yourself earlier? This is the time when you envision answers to those questions.

You can present that through your research you will aim to find if the money which enters the household belongs equally to everyone, or does it get stratified and gendered in this realm. Through this research, you aim to present a fresh new perspective in the field of studies of gendered money. ]

Insider’s Info: The aim you write right now is just a prediction or the expected outcome. Therefore, even if the result of your research is different in the end it doesn’t matter.

Bibliography

The bibliography is the easiest and most sorted part of your proposal. It is nothing but a list of all the resources that you will study or already have studied for the completion of your research. This list will contain all the articles or essays mentioned by you in the existing literature section, and all the other things such as books, journal articles, reviews, news, etc.

The most basic format to write a bibliography is:

• Author’s Name with Surname mentioned first, then initials (Tiwari, E.)
• Article’s Title in single or double quotes ( ‘ ’ or “ ” )
• Journal Title in Italics ( Like this )
• Volume, issue number
• Year of Publication in brackets

Example: Tichenor, Veronica Jaris (1999). “Status and income as gendered resources: The case of marital power”. Journal of Marriage and Family . Pg 938-65 ]

Insider’s Info: You do not number or bullet your bibliography. They should be arranged alphabetically based on the surname of the author.

Learn: Citation with Examples

Also Check: How to Write Dissertation

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Hello! Eiti is a budding sociologist whose passion lies in reading, researching, and writing. She thrives on coffee, to-do lists, deadlines, and organization. Eiti's primary interest areas encompass food, gender, and academia.

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How to Write a Research Proposal

As part of the application for admission onto our MJur, MPhil and PhD programmes, you must prepare a research proposal outlining your proposed area of study.

What is a research proposal?

A research proposal is a concise and coherent summary of your proposed research. It sets out the central issues or questions that you intend to address. It outlines the general area of study within which your research falls, referring to the current state of knowledge and any recent debates on the topic. It also demonstrates the originality of your proposed research.

The proposal is the most important document that you submit as part of the application process. It gives you an opportunity to demonstrate that you have the aptitude for graduate level research, for example, by demonstrating that you have the ability to communicate complex ideas clearly, concisely and critically. The proposal also helps us to match your research interest with an appropriate supervisor.

What should you include in the proposal?

Regardless of whether you are applying for the MJur, MPhil or PhD programmes, your research proposal should normally include the following information:

This is just a tentative title for your intended research. You will be able to revise your title during the course of your research if you are accepted for admission.

Examples of the thesis titles of some of our current and recent research students can be seen on our Current Projects page .

2. Abstract

The proposal should include a concise statement of your intended research of no more than 100 words. This may be a couple of sentences setting out the problem that you want to examine or the central question that you wish to address.

3. Research Context

You should explain the broad background against which you will conduct your research. You should include a brief overview of the general area of study within which your proposed research falls, summarising the current state of knowledge and recent debates on the topic. This will allow you to demonstrate a familiarity with the relevant field as well as the ability to communicate clearly and concisely.

4. Research Questions

The proposal should set out the central aims and questions that will guide your research. Before writing your proposal, you should take time to reflect on the key questions that you are seeking to answer. Many research proposals are too broad, so reflecting on your key research questions is a good way to make sure that your project is sufficiently narrow and feasible (i.e. one that is likely to be completed with the normal period for a MJur, MPhil or PhD degree).

You might find it helpful to prioritize one or two main questions, from which you can then derive a number of secondary research questions. The proposal should also explain your intended approach to answering the questions: will your approach be empirical, doctrinal or theoretical etc?

5. Research Methods

The proposal should outline your research methods, explaining how you are going to conduct your research. Your methods may include visiting particular libraries or archives, field work or interviews.

Most research is library-based. If your proposed research is library-based, you should explain where your key resources (e.g. law reports, journal articles) are located (in the Law School’s library, Westlaw etc). If you plan to conduct field work or collect empirical data, you should provide details about this (e.g. if you plan interviews, who will you interview? How many interviews will you conduct? Will there be problems of access?). This section should also explain how you are going to analyse your research findings.

6. Significance of Research

The proposal should demonstrate the originality of your intended research. You should therefore explain why your research is important (for example, by explaining how your research builds on and adds to the current state of knowledge in the field or by setting out reasons why it is timely to research your proposed topic).

7. Bibliography

The proposal should include a short bibliography identifying the most relevant works for your topic.

How long should the proposal be?

The proposal should usually be around 2,500 words. It is important to bear in mind that specific funding bodies might have different word limits.

Can the School comment on my draft proposal?

We recognise that you are likely still developing your research topic. We therefore recommend that you contact a member of our staff with appropriate expertise to discuss your proposed research. If there is a good fit between your proposed research and our research strengths, we will give you advice on a draft of your research proposal before you make a formal application. For details of our staff and there areas of expertise please visit our staff pages . 

Read a sample proposal from a successful application  

Learn more about Birmingham's doctoral research programmes in Law:

Birmingham Law School is home to a broad range of internationally excellent and world-leading legal academics, with a thriving postgraduate research community. The perfect place for your postgraduate study.

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• Indian J Anaesth
• v.60(9); 2016 Sep

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.

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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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• What Is a Research Design | Types, Guide & Examples

What Is a Research Design | Types, Guide & Examples

Published on June 7, 2021 by Shona McCombes . Revised on November 20, 2023 by Pritha Bhandari.

A research design is a strategy for answering your   research question  using empirical data. Creating a research design means making decisions about:

• Your overall research objectives and approach
• Whether you’ll rely on primary research or secondary research
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research objectives and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, other interesting articles, frequently asked questions about research design.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities—start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed-methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

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Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types.

• Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships
• Descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analyzing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study—plants, animals, organizations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

• Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalize your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study , your aim is to deeply understand a specific context, not to generalize to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question .

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviors, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews .

Observation methods

Observational studies allow you to collect data unobtrusively, observing characteristics, behaviors or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what kinds of data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected—for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

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As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are high in reliability and validity.

Operationalization

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalization means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in—for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced, while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method , you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample—by mail, online, by phone, or in person?

If you’re using a probability sampling method , it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method , how will you avoid research bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organizing and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymize and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well-organized will save time when it comes to analyzing it. It can also help other researchers validate and add to your findings (high replicability ).

On its own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyze the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarize your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarize your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analyzing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

A research design is a strategy for answering your   research question . It defines your overall approach and determines how you will collect and analyze data.

A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources . This allows you to draw valid , trustworthy conclusions.

Quantitative research designs can be divided into two main categories:

• Correlational and descriptive designs are used to investigate characteristics, averages, trends, and associations between variables.
• Experimental and quasi-experimental designs are used to test causal relationships .

Qualitative research designs tend to be more flexible. Common types of qualitative design include case study , ethnography , and grounded theory designs.

The priorities of a research design can vary depending on the field, but you usually have to specify:

• Your research questions and/or hypotheses
• Your overall approach (e.g., qualitative or quantitative )
• The type of design you’re using (e.g., a survey , experiment , or case study )
• Your data collection methods (e.g., questionnaires , observations)
• Your data collection procedures (e.g., operationalization , timing and data management)
• Your data analysis methods (e.g., statistical tests  or thematic analysis )

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

Operationalization means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioral avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalize the variables that you want to measure.

A research project is an academic, scientific, or professional undertaking to answer a research question . Research projects can take many forms, such as qualitative or quantitative , descriptive , longitudinal , experimental , or correlational . What kind of research approach you choose will depend on your topic.

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Call for Proposals - The Pulse of Progress: Harnessing High-Frequency Survey Data for Development Research in the Polycrisis Era Conference

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The World Bank Living Standards Measurement Study (LSMS) program is inviting researchers to submit extended abstracts for The Pulse of Progress: Harnessing High-Frequency Survey Data for Development Research in the Polycrisis Era . This one-day conference will take place on December 10, 2024, at the World Bank Headquarters in Washington, D.C.

The conference will celebrate four years of the LSMS efforts in conducting longitudinal high-frequency phone surveys (HFPS) in Burkina Faso, Ethiopia, Malawi, Nigeria, Tanzania, and Uganda. Launched initially to address data and knowledge gaps related to the COVID-19 pandemic, these surveys facilitate routine monitoring of large-scale shocks and their socioeconomic impacts. They have had a transformative impact on national statistical and data systems , complementing existing in-person survey infrastructure with high frequency data collection on policy-relevant topics. To date, more than 100 survey rounds and 200,000 interviews have been completed across the six countries.

The conference aims to showcase applied research that leverages high-frequency phone survey data, including but not limited to the LSMS-HFPS, as the primary data source for addressing substantive questions in development economics and related fields.

We welcome extended abstracts (max. 800 words) for innovative research papers that utilize high-frequency phone survey data to study social and economic development issues. Submissions may cover a range of topics, including but not limited to:  

Researchers should submit their proposals to: [email protected] . Early-career researchers are especially encouraged to apply. The submitter should indicate who will be presenting and confirm that the presenter can attend the conference in person. Travel and accommodation expenses for selected presenters will be covered by the World Bank.

We particularly encourage submissions using the LSMS-HFPS data, and to facilitate them, we are making available an open-access, harmonized dataset accessible here  (dataset) and here (stata syntax).

The dataset covers all LSMS-HFPS survey rounds and allows linkages at the household and individual levels over time. It can be integrated with the LSMS-Integrated Survey on Agriculture (LSMS-ISA) series of nationally representative face-to-face household surveys in the same countries, including geo-variables and cluster locations. Interested authors can explore the scope of data on the LSMS webpage and access raw LSMS-HFPS and LSMS-ISA data through the World Bank Microdata Library .

Deadlines and important dates

• Extended abstracts due :  July 12, 2024
• Notification to authors:  August 16, 2024
• Full paper draft due:  November 8, 2024
• Event:  December 10, 2024 @ World Bank HQ in Washington, D.C.

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3 Questions: Enhancing last-mile logistics with machine learning

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Across the country, hundreds of thousands of drivers deliver packages and parcels to customers and companies each day, with many click-to-door times averaging only a few days. Coordinating a supply chain feat of this magnitude in a predictable and timely way is a longstanding problem of operations research, where researchers have been working to optimize the last leg of delivery routes. This is because the last phase of the process is often the costliest due to inefficiencies like long distances between stops due to increased ecommerce demand, weather delays, traffic, lack of parking availability, customer delivery preferences, or partially full trucks — inefficiencies that became more exaggerated and evident during the pandemic.

With newer technology and more individualized and nuanced data, researchers are able to develop models with better routing options but at the same time need to balance the computational cost of running them. Matthias Winkenbach, MIT principal research scientist, director of research for the MIT Center for Transportation and Logistics (CTL) and a researcher with the MIT-IBM Watson AI Lab, discusses how artificial intelligence could provide better and more computationally efficient solutions to a combinatorial optimization problem like this one.

Q: What is the vehicle routing problem, and how do traditional operations research (OR) methods address it?

A: The vehicle routing problem is faced by pretty much every logistics and delivery company like USPS, Amazon, UPS, FedEx, DHL every single day. Simply speaking, it's finding an efficient route that connects a set of customers that need to be either delivered to, or something needs to be picked up from them. It’s deciding which customers each of those vehicles — that you see out there on the road — should visit on a given day and in which sequence. Usually, the objective there is to find routes that lead to the shortest, or the fastest, or the cheapest route. But very often they are also driven by constraints that are specific to a customer. For instance, if you have a customer who has a delivery time window specified, or a customer on the 15th floor in the high-rise building versus the ground floor. This makes these customers more difficult to integrate into an efficient delivery route.

To solve the vehicle routing problem, we obviously we can't do our modeling without proper demand information and, ideally, customer-related characteristics. For instance, we need to know the size or weight of the packages ordered by a given customer, or how many units of a certain product need to be shipped to a certain location. All of this determines the time that you would need to service that particular stop. For realistic problems, you also want to know where the driver can park the vehicle safely. Traditionally, a route planner had to come up with good estimates for these parameters, so very often you find models and planning tools that are making blanket assumptions because there weren’t stop-specific data available.

Machine learning can be very interesting for this because nowadays most of the drivers have smartphones or GPS trackers, so there is a ton of information as to how long it takes to deliver a package. You can now, at scale, in a somewhat automated way, extract that information and calibrate every single stop to be modeled in a realistic way.

Using a traditional OR approach means you write up an optimization model, where you start by defining the objective function. In most cases that's some sort of cost function. Then there are a bunch of other equations that define the inner workings of a routing problem. For instance, you must tell the model that, if the vehicle visits a customer, it also needs to leave the customer again. In academic terms, that's usually called flow conservation. Similarly, you need to make sure that every customer is visited exactly once on a given route. These and many other real-world constraints together define what constitutes a viable route. It may seem obvious to us, but this needs to be encoded explicitly.

Once an optimization problem is formulated, there are algorithms out there that help us find the best possible solution; we refer to them as solvers. Over time they find solutions that comply with all the constraints. Then, it tries to find routes that are better and better, so cheaper and cheaper ones until you either say, "OK, this is good enough for me," or until it can mathematically prove that it found the optimal solution. The average delivery vehicle in a U.S. city makes about 120 stops. It can take a while to solve that explicitly, so that's usually not what companies do, because it's just too computationally expensive. Therefore, they use so-called heuristics, which are algorithms that are very efficient in finding reasonably good solutions but typically cannot quantify how far away these solutions are from the theoretical optimum.

Q: You’re currently applying machine learning to the vehicle routing problem. How are you employing it to leverage and possibly outperform traditional OR methods?

A: That's what we're currently working on with folks from the MIT-IBM Watson AI Lab. Here, the general idea is that you train a model on a large set of existing routing solutions that you either observed in a company’s real-world operations or that you generated using one of these efficient heuristics. In most machine-learning models, you no longer have an explicit objective function. Instead, you need to make the model understand what kind of problem it's actually looking at and what a good solution to the problem looks like. For instance, similar to training a large language model on words in a given language, you need to train a route learning model on the concept of the various delivery stops and their demand characteristics. Like understanding the inherent grammar of natural language, your model needs to understand how to connect these delivery stops in a way that results in a good solution — in our case, a cheap or fast solution. If you then throw a completely new set of customer demands at it, it will still be able to connect the dots quite literally in a way that you would also do if you were trying to find a good route to connect these customers.

For this, we're using model architectures that most people know from the language processing space. It seems a little bit counterintuitive because what does language processing have to do with routing? But actually, the properties of these models, especially transformer models, are good at finding structure in language — connecting words in a way that they form sentences. For instance, in a language, you have a certain vocabulary, and that's fixed. It's a discrete set of possible words that you can use, and the challenge is to combine them in a meaningful way. In routing, it's similar. In Cambridge there are like 40,000 addresses that you can visit. Usually, it's a subset of these addresses that need to be visited, and the challenge is: How do we combine this subset — these "words" — in a sequence that makes sense?

That's kind of the novelty of our approach — leveraging that structure that has proven to be extremely effective in the language space and bringing it into combinatorial optimization. Routing is just a great test bed for us because it's the most fundamental problem in the logistics industry. 

Of course, there are already very good routing algorithms out there that emerged from decades of operations research. What we are trying to do in this project is show that with a completely different, purely machine learning-based methodological approach, we are able to predict routes that are pretty much as good as, or better than, the routes that you would get from running a state-of-the-art route optimization heuristic.

Q: What advantages does a method like yours have over other state-of-the-art OR techniques?

A: Right now, the best methods are still very hungry in terms of computational resources that are required to train these models, but you can front-load some of this effort. Then, the trained model is relatively efficient in producing a new solution as it becomes required. 

Another aspect to consider is that the operational environment of a route, especially in cities, is constantly changing. The available road infrastructure, or traffic rules and speed limits might be altered, the ideal parking lot may be occupied by something else, or a construction site might block a road. With a pure OR-based approach, you might actually be in trouble because you would have to basically resolve the entire problem instantly once new information about the problem becomes available. Since the operational environment is dynamically changing, you would have to do this over and over again. While if you have a well-trained model that has seen similar issues before, it could potentially suggest the next-best route to take, almost instantaneously. It's more of a tool that would help companies to adjust to increasingly unpredictable changes in the environment.

Moreover, optimization algorithms are often manually crafted to solve the specific problem of a given company. The quality of the solutions obtained from such explicit algorithms is bounded by the level of detail and sophistication that went into the design of the algorithm. A learning-based model, on the other hand, continuously learns a routing policy from data. Once you have defined the model structure, a well-designed route learning model will distill potential improvements to your routing policy from the vast amount of routes it is being trained on. Simply put, a learning-based routing tool will continue to find improvements to your routes without you having to invest into explicitly designing these improvements into the algorithm.

Lastly, optimization-based methods are typically limited to optimizing for a very clearly defined objective function, which often seeks to minimize cost or maximize profits. In reality, the objectives that companies and drivers face are much more complex than that, and often they are also somewhat contradictory. For instance, a company wants to find efficient routes, but it also wants to have a low emissions footprint. The driver also wants to be safe and have a convenient way of serving these customers. On top of all of that, companies also care about consistency. A well-designed route learning model can eventually capture these high-dimensional objectives by itself, and that is something that you would never be able to achieve in the same way with a traditional optimization approach.

So, this is the kind of machine learning application that can actually have a tangible real-world impact in industry, on society, and on the environment. The logistics industry has problems that are much more complex than this. For instance, if you want to optimize an entire supply chain — let's say, the flow of a product from the manufacturer in China through the network of different ports around the world, through the distribution network of a big retailer in North America to your store where you actually buy it — there are so many decisions involved in that, which obviously makes it a much harder task than optimizing a single vehicle route. Our hope is that with this initial work, we can lay the foundation for research and also private sector development efforts to build tools that will eventually enable better end-to-end supply chain optimization.

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Interoperability is Key to Effective Emergency Communications

During National Public Safety Telecommunicators Week, we’re sharing updates on S&T efforts focused on getting first responders the information they need quickly.

When it comes to communicating emergency information to and among first responders, interoperability is a problem. In some cases, emergency responders cannot talk to some parts of their own agencies—let alone communicate with agencies in neighboring cities, counties, or states. And when time is of the essence, the results can be catastrophic. But there are other factors that can impede response, and we are keenly focused on addressing each of these with technological solutions.

The 9/11 Commission Report speaks at great length about the issues the lack of interoperability caused. As a result of the Commission Report, there was a significant reorganization of response capabilities, which included the creation of the Department of Homeland Security (DHS) and, soon after, the Science and Technology Directorate (S&T). We've been on the case ever since, working for and with responders to better understand and deliver on their technology needs.

While all these organizations are working to find a solution, we have multiple efforts underway to support new technologies to help correct for these gaps. For instance, our First Responder Capability portfolio and Technology Centers work with responders across the country on communications solutions. But the challenges are formidable, as jurisdictions manage their own technology across 6,000 911 call centers nationwide.

Wireless: The Wave of the Future

Let’s face it. The future of communications is going to be wireless, and that extends to emergency communications, too.

S&T has been sponsoring research across a number of areas, based on findings in the S&T “Study on Mobile Device Security” Report, which concluded that targeted research and development (R&D) could inform standards to improve security and resilience of critical mobile communications networks. As a result, S&T’s Mobile Security R&D Program established the Secure and Resilient Mobile Network Infrastructure (SRMNI) project and has efforts underway to establish standards for secure voice and video capability for communications across the 3G, 4G, and 5G networks.

Last year, interagency discussions were held that included S&T, Cybersecurity & Infrastructure Security Agency, and the U.S. Department of Defense, among others, to identify lab testing requirements for 5G Emergency Communications interoperability. Then, in early spring of 2024, S&T and MITRE demoed new features in the new 5G ecosystem critical to DHS components and first responder use cases and continued to conduct engineering analysis and lab-based research to identify potential gaps. Research will be ongoing.

So, we are trending forward but are still working on helping aid improvements across traditional networks.

Connectivity is Key

As it stands, CAD-to-CAD (computer-aided dispatch) communications are the key to interoperability and resilience between government agencies responding to emergencies. Once the 911 call or text is answered, the information is sent to CAD, which is used to send the right resource to the right location. Public safety agencies have different CAD systems that don’t always efficiently share information. The result is ineffective and costly interoperable issues across communications systems.

In 2021, S&T funded a successful CAD-to-CAD interoperability pilot project run by the Integrated Justice Information Systems (IJIS) Institute to apply a single standard across municipalities to achieve interoperability. This pilot was successful in testing this theory by applying specifications across three localities – two in New Hampshire and one in Vermont, all three reliant on an InfoCAD™ environment hosted in the Amazon GovCloud. Through testing of two use cases – a three- or four-alarm fire and a medical emergency – IJIS demonstrated a viable solution in a live environment.  

Our Office of Mission and Capability Support will be conducting market research within the next few months on CAD-to-CAD Interoperability Compliance / Conformance testing. This upcoming effort is part of a five-year research & development portfolio under S&T’s Critical Infrastructure Security & Resilience Research (CISRR) Program, which is funded by the Infrastructure Investment and Jobs Act (IIJA) of 2021. The objective is to build upon the previous work done by the SRMNI project to establish interoperability functional specifications and develop a model for wide-scale implementation of these standards.

Location, Location, Location

Out-of-date Voice-over-IP (VoIP) phone numbers, connected to the Internet by design, are another issue that can create emergence response delays. The Federal Communications Commission (FCC) requires VoIP telephone service providers to maintain a subscriber’s verified street address as a dispatchable location to the 911 community. If a call is placed for emergency services and there is a lack of cellular coverage, the VoIP address should serve as backup. But these addresses aren’t being updated when moves are made.

The result is first responders routed to the wrong place during emergencies. Our Small Business Innovation Research (SBIR) program released a solicitation in 2023 calling for a solution to help identify whether a call to 911 is coming from a different location than the registered location. We will have more information available on this later this spring, but the aim is to better enable VoIP service providers to provide a valid, dispatchable address.

By helping to advance CAD-to-CAD interoperability testing, seeking a solution to assist with address accuracy through VoIP, and planning for mobile interoperability solutions of the future, we at S&T are hopeful that we can help support first responders and the telecommunicators that assist them get services to the people that need them more efficiently.

Learn more about other S&T efforts to help provide technology solutions to improve emergency response communications .

• Science and Technology
• Emergency Communication
• Public Safety
• First Responders