How to Write a PhD Research Proposal (With Examples)

To write a PhD research proposal, start with a focused research question, explain what existing studies have established, identify a meaningful research gap, and describe how you plan to investigate it. Your proposal should show why the research matters, what methods you will use, and whether the project is realistic within the time and resources available. A typical PhD research proposal includes a working title, research background, literature review, research questions, objectives, methodology, timeline, expected contribution, and references. However, universities and departments have different requirements, so there is no single format or word limit that applies everywhere.

This guide walks you through each section, explains how to turn a broad research interest into a feasible doctoral project, and includes a detailed illustrative proposal, examples of weak and improved research questions, and a checklist to review before submission.

What is a PhD research proposal?

A PhD research proposal is an academic document outlining the research project you intend to undertake during your doctorate.

It presents a research problem, identifies its relationship to existing knowledge, and explains the methods you plan to use to investigate it.

Universities use research proposals to assess whether applicants can formulate meaningful research questions, understand relevant academic literature, develop suitable methods, and plan independent research.

A proposal also helps assess whether the proposed project fits the department’s expertise, facilities, and available supervision.

According to the University of Cambridge’s official guidance, applicants should demonstrate that their proposed research is valuable, achievable, and compatible with a supervisor or research group.

Importantly, a research proposal is not a completed thesis. You are not expected to know the results before beginning your PhD.

Your proposal should instead demonstrate that you have identified a worthwhile problem and developed a credible plan for investigating it.

Do all PhD applications require a research proposal?

No. Research proposal requirements vary substantially between doctoral programmes.

You are more likely to need a detailed proposal when applying for an individually developed research project, particularly in humanities, social sciences, education, business, and some engineering or science programmes.

However, applicants to advertised PhD projects, structured doctoral programmes, or laboratory-based positions may follow different procedures.

For example, the University of Oxford’s DPhil in Clinical Medicine states that applicants to its advertised research themes do not need to submit a separate research proposal. Applicants proposing their own projects follow a different route.

The purpose of your proposal also changes depending on the application stage.

Application purpose	What the proposal should emphasize
University PhD admission	Academic significance, research questions, methodology, feasibility, and departmental fit
Scholarship or research funding	Research quality, relevance to funding priorities, expected contribution, feasibility, and any additional assessment criteria
Initial supervisor discussion	Research direction, academic background, potential questions, and alignment with the supervisor’s expertise
Advertised PhD project	Understanding of the existing project, possible research approach, and your suitability, where a proposal is requested

For an initial supervisor inquiry, a short research concept note may be more appropriate than a complete proposal.

Note: Cambridge also identifies Gates Cambridge funding applicants as a group required to prepare a research proposal, so applicants should check scholarship requirements even when their chosen course has a different application format.

If you need to contact a potential supervisor before applying, our guide on How to Email a Professor for PhD Opportunities (With Examples) explains how to introduce your research interests, discuss academic fit, and decide whether to attach a short research concept note or a complete proposal..

What is the difference between a research proposal and a statement of purpose?

A PhD research proposal explains the research you intend to conduct, including the problem, existing literature, research questions, methodology, and expected contribution.

A statement of purpose generally focuses on your academic preparation, research interests, reasons for applying, and suitability for the programme.

For example, a statement of purpose might explain how your master’s dissertation developed your interest in environmental engineering. A research proposal would explain the specific environmental engineering problem you now want to investigate and how you plan to study it.

Some universities request both documents, while others combine their requirements or use different application questions. Always follow the instructions for your chosen programme rather than submitting the same text in both documents.

How long should a PhD research proposal be?

There is no universal word limit for PhD research proposals.

Some departments require a short document of a few pages, while others expect a more developed discussion of the literature, research methods, and theoretical contribution.

Examples from official university guidance illustrate these differences.

University and programme	Published proposal requirement
University of Oxford, DPhil in Management	Maximum 2,000 words, excluding references, citations, and bibliography
University of Oxford, DPhil in English	Maximum 1,500 words
University of Oxford, DPhil in Information, Communication and the Social Sciences	Maximum 2,500 words
University of Edinburgh, School of GeoSciences PhD	Maximum four pages, including references
University of Cambridge	Check the specific course and application portal for applicable limits

Sources: Oxford Saïd Business School, Oxford DPhil in English, Oxford Internet Institute, University of Edinburgh, and University of Cambridge.

Treat your department’s word or page limit as a submission requirement, not a suggested target. Some universities may reject or disregard documents that exceed the permitted length. Also check whether references, footnotes, tables, or appendices count towards the limit.

If your department provides no word limit, a proposal of approximately 1,500–2,500 words may be a reasonable initial drafting target for some disciplines. This is general writing advice, not a university requirement.

Always follow the current instructions for your specific programme. Check whether the word limit includes references, tables, footnotes, or appendices.

PhD research proposal structure: What should you include?

A practical PhD research proposal usually contains the following sections.

1. Research title

Your title should communicate the central subject of your investigation without becoming unnecessarily long or vague.

A broad title may identify your field but reveal little about the actual project.

For example:

Weak title: Renewable Energy and Climate Change

Improved title: Assessing the Effects of Solar Irrigation Adoption on Agricultural Energy Costs in Rural Pakistan

The improved title identifies the technology, outcome, application, and geographical context.

A good working title often includes the main phenomenon being investigated and the specific setting or relationship you intend to study.

You can revise it as your research develops.

2. Introduction and research background

Your introduction explains the problem that motivates your proposed research.

It should answer three basic questions:

What is the research problem?
Why does it deserve investigation?
What specific issue will your project address?

Begin with the subject and move towards a clearly defined problem.

Avoid opening with several paragraphs of general information about how important your field is.

For example, a proposal about wastewater treatment does not need a lengthy history of global water pollution. It should establish the particular treatment limitation, process challenge, or unresolved scientific question that the research will investigate.

Support factual claims with relevant academic literature rather than broad statements without evidence.

3. Literature review and research gap

The literature review demonstrates your understanding of existing research.

Its purpose is not to summarize every publication in your field. Instead, it should identify the studies, findings, theories, and methods most relevant to your proposed question.

A useful literature review explains what researchers already know, where findings disagree, what limitations remain, and how your proposed study relates to that knowledge.

How to identify a genuine research gap

Start with recent review papers and influential studies in your research area. Examine their research questions, methods, limitations, and recommendations for further investigation.

A practical way to identify a research gap is to compare a small group of closely related studies rather than reading papers in isolation. For each study, record the research question, methods, main findings, limitations, and questions that remain unresolved.

Look for a recurring uncertainty across several papers. For example, researchers may agree that a particular treatment technology works under controlled laboratory conditions but disagree about the mechanisms affecting its performance when operating conditions change.

Before calling this a research gap, check whether newer publications have already addressed it. Then explain why resolving the remaining uncertainty would contribute useful knowledge.

Your proposal should make three points clear: what previous studies established, what remains uncertain, and how your research could investigate that uncertainty.

Then compare related studies rather than evaluating each publication separately.

You might identify:

A question that existing research has not adequately answered.
Conflicting findings that require further investigation.
A methodological limitation affecting previous conclusions.
A theory that has not been sufficiently examined in a relevant context.
A relationship or mechanism that remains poorly understood.

However, a research gap is not automatically a good PhD research question.

The fact that few researchers have studied a particular combination of variables does not necessarily make that combination important.

Oxford’s guidance on developing DPhil research proposals in international development makes this distinction: a gap must also be intellectually significant.

Consider this illustrative example.

Weak gap statement:

“Very little research has investigated wastewater treatment in Country X.”

This does not explain which scientific question remains unresolved or why studying another location would advance knowledge.

Improved gap statement:

“Existing studies suggest that membrane fouling is influenced by wastewater composition, but the relative effects of changing organic and inorganic constituents under variable operating conditions remain insufficiently characterized for the treatment system considered here.”

This identifies a specific technical uncertainty that could be investigated experimentally.

It is an illustrative statement, not a verified conclusion about the literature. In an actual proposal, you would need to support it with published studies.

4. Research questions and objectives

Your research question is the central problem your doctoral project intends to answer.

It should be sufficiently focused to guide your methodology, while still allowing meaningful investigation and interpretation.

Consider the difference:

Element	Weak example	Improved example
Research question	How can wastewater treatment be improved?	How do variations in organic loading and operating temperature affect membrane fouling rates in a selected treatment system?
Research aim	Improve wastewater treatment technology	Investigate the influence of selected operating conditions on membrane fouling behaviour
Research objective	Study different operating conditions	Quantify changes in fouling resistance under controlled variations in organic loading and temperature

These are illustrative examples, not findings from a completed research project.

A research aim describes the overall purpose of the study. Objectives divide that aim into achievable research activities.

Useful objectives often begin with verbs such as evaluate, compare, quantify, characterize, investigate, or develop.

For example, a doctoral project might have three connected objectives:

Characterize the effect of selected operating conditions on membrane performance.
Quantify the relationship between wastewater composition and fouling behaviour.
Develop and evaluate a predictive model using the experimental observations.

Each objective should contribute directly to answering the main research question.

Avoid including objectives that require unrelated experiments, separate disciplines, or resources beyond the project’s likely capacity.

5. Research methodology

Your methodology explains how you intend to generate and analyze the evidence needed to answer your research questions.

This is one of the most important sections because an interesting research question is not enough if your proposed approach cannot answer it.

The appropriate methodology depends on your discipline.

In experimental engineering or natural sciences, you might describe laboratory experiments, process simulations, analytical techniques, or computational modelling.

In social sciences, your methods might involve interviews, surveys, comparative case studies, statistical analysis, or mixed-methods research.

In humanities, the methodology may involve archival research, textual interpretation, historical comparison, or theoretical analysis.

Whatever the discipline, explain:

Research design: Will your study be experimental, qualitative, quantitative, theoretical, computational, or mixed-methods?

Data or evidence: What information, samples, documents, observations, or measurements will you need?

Collection methods: How will you obtain the necessary evidence?

Analysis: How will you interpret the findings and connect them to your research questions?

Limitations: What uncertainties, assumptions, or practical constraints could affect the work?

For example, instead of writing:

“Experimental and statistical methods will be used to analyze membrane performance.”

A more informative explanation would be:

“Bench-scale filtration experiments will examine the effects of organic loading and temperature on membrane fouling. Permeate flux and transmembrane pressure will be monitored under controlled conditions. The resulting measurements will be analyzed to compare fouling behaviour across operating conditions.”

This shows how the proposed measurements relate to the research question.

It does not claim that the experiments have already been conducted.

The same principles of research feasibility apply beyond PhD admissions. For instance, the TWAS-FAPESP Postdoctoral Fellowship 2027 in Brazil requires applicants to prepare a concise research project explaining how their proposed work contributes to an eligible supervisor’s existing FAPESP-funded research.

6. Research timeline and feasibility

A PhD research proposal should demonstrate that the project can be completed within the expected doctoral period.

You do not need to predict every experiment or chapter precisely. However, you should show a sensible sequence of activities and recognize dependencies between them.

For an illustrative three-year research project, a timeline might look like this:

Period	Proposed activities
Months 1–6	Literature review, refine research questions, research training, and experimental design
Months 7–12	Develop experimental procedures and conduct preliminary investigations
Months 13–20	Main experiments and data collection
Months 21–26	Data analysis, modelling, and validation
Months 27–32	Integrate findings and prepare thesis chapters
Months 33–36	Complete thesis, revise, and prepare for submission

This schedule is illustrative. Actual doctoral durations and milestones differ across universities, countries, and programmes.

If your research involves fieldwork, human participants, specialized facilities, or external data access, account for approval procedures and possible delays.

For example, a project requiring interviews with vulnerable populations may need formal ethical approval before recruitment or data collection begins.

The University of Edinburgh’s School of GeoSciences explicitly includes ethical considerations and a research timetable in its proposal guidance.

7. Expected research contribution

This section explains what your research could add to existing knowledge.

Your contribution might involve developing a method, evaluating a theory, producing new empirical evidence, explaining a poorly understood mechanism, or improving understanding of a particular research problem.

Avoid claiming that your project will revolutionize an entire field or solve a global challenge.

Instead, describe the potential contribution in terms of the evidence your proposed methodology could reasonably produce.

For example:

“The proposed study is expected to improve understanding of how selected operating conditions influence membrane fouling behaviour. The findings may support the development of more reliable operating strategies for the treatment system investigated.”

This is a defensible expectation because it relates directly to the research question and proposed methods.

8. References and bibliography

Include the academic publications that establish the background, justify your research question, and support your methodological choices.

Prioritize peer-reviewed studies, relevant review articles, foundational theoretical work, and credible methodological sources.

Use the referencing style requested by your department. If no style is specified, choose an established style appropriate to your discipline and apply it consistently.

Check every reference for accuracy. Do not include publications you have not verified or cite studies that do not support the statements attributed to them.

Complete PhD research proposal example

The following is an original, illustrative example from environmental engineering. It demonstrates how a research title, literature gap, research questions, methodology, and expected contribution can connect within a single doctoral project.

It is not an actual university submission, and its proposed research gap would need to be verified through a detailed literature review before use in an application.

Proposed title

Investigating the Effects of Wastewater Composition and Operating Conditions on Membrane Fouling in Biological Wastewater Treatment

Research background

Membrane-based biological wastewater treatment systems combine biological treatment with physical separation. Their performance can be affected by membrane fouling, which may increase filtration resistance, reduce operating efficiency, and require additional cleaning.

Membrane fouling is influenced by multiple factors, including feed composition, membrane properties, microbial activity, and operating conditions.

Understanding the relationships among these factors is important for developing reliable operating strategies.

This proposed research will investigate how selected changes in wastewater composition and operating temperature affect membrane fouling under controlled experimental conditions.

Research problem and proposed gap

Membrane fouling involves interacting physical, chemical, and biological mechanisms.

For the purposes of this proposed study, the literature review will examine whether existing research adequately distinguishes the effects of wastewater composition from those of operating temperature in the selected biological treatment configuration.

If a significant unresolved relationship is established, the project will investigate that relationship experimentally.

This approach avoids assuming that a research gap exists before the relevant literature has been examined.

Research aim and questions

The main aim is to investigate the effects of selected wastewater characteristics and operating conditions on membrane fouling behaviour.

The proposed research questions are:

How does variation in organic loading influence membrane fouling under controlled filtration conditions?
How does operating temperature affect fouling behaviour when other major operating variables are controlled?
Can a predictive model describe the observed relationships within the experimental operating range?

Research objectives

The project will seek to:

Characterize membrane performance under selected wastewater compositions.
Quantify changes in fouling resistance at different operating temperatures.
Evaluate interactions between the selected experimental variables.
Develop and assess a model describing fouling behaviour using the experimental dataset.

Proposed methodology

A bench-scale membrane treatment system will be used to investigate the selected variables.

The research will begin with a review of relevant experimental studies to identify suitable operating ranges, measurement procedures, and analytical methods.

Preliminary experiments will establish baseline filtration performance.

The main experimental programme will then vary selected wastewater characteristics and operating temperatures while controlling other relevant conditions.

Membrane performance will be evaluated using measurements such as permeate flux, transmembrane pressure, and calculated filtration resistance.

Where appropriate, additional characterization will examine changes in wastewater properties and fouling-related material.

The experimental data will be analyzed to identify relationships among operating conditions, wastewater composition, and membrane performance.

A predictive model will be developed and evaluated using a suitable validation approach. The precise model structure will be selected after reviewing the available evidence and preliminary data.

Feasibility and limitations

The project is intended for a laboratory with suitable membrane filtration equipment and access to wastewater characterization facilities.

Before implementation, the experimental design will need to account for equipment availability, sample variability, operating costs, and the number of experiments required.

A potential limitation is that bench-scale findings may not directly represent full-scale treatment performance.

The study will therefore distinguish conclusions supported by laboratory evidence from broader operational implications requiring further validation.

Expected contribution

The research may improve understanding of how selected operating variables interact to influence membrane fouling.

It could also provide experimental evidence useful for evaluating operating strategies and identifying conditions requiring further investigation.

Any proposed improvement in treatment performance would need to be supported by the experimental findings rather than assumed in advance.

What Can You Learn From This Research Proposal Example?

The main strength of this example is the connection between the research problem, questions, methodology, and expected contribution.

The proposed study focuses on membrane fouling. Its research questions identify specific variables to investigate, while the methodology explains how those variables could be examined experimentally. The expected contribution remains consistent with what the proposed research could realistically establish.

Notice also how the proposal handles uncertainty. It does not claim that the research gap has already been proven, that the proposed model will necessarily succeed, or that laboratory findings will automatically apply to full-scale systems.

When preparing your own PhD research proposal, check whether each section supports the next. Your research questions should address the problem identified in the literature, your methodology should be capable of answering those questions, and your expected contribution should reflect what your study could reasonably demonstrate.

Careers Help Desk Practical Perspective: What makes a PhD proposal convincing?

One of the most common weaknesses in early PhD proposals is that applicants describe an interesting subject without identifying a research problem they can realistically investigate.

An applicant might propose studying artificial intelligence in healthcare, renewable energy for sustainable development, or the impact of climate change on agriculture.

These are legitimate research areas, but each contains numerous possible doctoral projects.

A stronger approach is to narrow the idea through four decisions.

First, identify the specific uncertainty. What exactly remains unknown, disputed, insufficiently explained, or methodologically difficult?

Second, define the boundaries. Which population, process, dataset, technology, theoretical framework, or geographical setting will you investigate?

Third, establish the evidence needed. What would you need to observe, measure, compare, calculate, or interpret to answer the question?

Fourth, test feasibility. Can you obtain that evidence with the time, expertise, facilities, funding, and permissions realistically available?

Consider an applicant interested in machine learning for medical diagnosis.

A broad proposal to develop AI for detecting diseases may be difficult to evaluate because it does not identify a specific technical problem.

A more focused project might investigate how differences between training and deployment datasets affect the calibration of a particular medical imaging classification model.

That question creates a clearer route towards selecting datasets, evaluating models, defining performance measures, and discussing limitations.

It also allows the applicant to explain why a particular research group would be suitable.

Supervisor alignment matters

Even a well-developed research proposal may be unsuitable for a department without the relevant supervision or facilities.

Before submitting, examine the potential supervisor’s recent publications, ongoing projects, methodological expertise, and available research infrastructure.

Do not assume that a professor working in the same broad discipline can supervise every topic within it.

For example, a department specializing in computational modelling may not have the experimental facilities needed for a proposal centered on extensive laboratory work.

Conversely, a project requiring advanced theoretical analysis may need supervision beyond the expertise of an otherwise relevant experimental research group.

The Cambridge–Tübingen PhD Fellowship 2027 illustrates the importance of research alignment. Applicants must identify suitable supervisors at Cambridge and the Max Planck Institute for Intelligent Systems while following the programme’s coordinated application procedures..

Originality does not mean nobody has studied the topic before

Applicants sometimes try to demonstrate originality by claiming that their proposed research has never been conducted.

Such claims are difficult to establish and can undermine credibility if closely related studies already exist.

A defensible contribution may involve testing an existing explanation under different conditions, improving a method, reconciling contradictory findings, or examining a previously overlooked mechanism.

What matters is whether the proposed work could produce meaningful new knowledge.

A carefully justified extension of existing research can be more convincing than an ambitious claim unsupported by the literature.

Originality expectations also differ between research funding programmes. The Branco Weiss Fellowship 2027 supports independent postdoctoral research that departs from mainstream approaches. Its selection priorities illustrate why applicants must understand how a funding programme defines a valuable research contribution.

Scholarship applications require an additional check

For a scholarship application, first check whether the funding provider requests a separate research proposal or uses the proposal submitted through university admissions.

If a separate document is required, examine the funding criteria before revising your proposal. Some scholarships evaluate academic originality and feasibility, while others place additional weight on research priorities, collaboration, training plans, or the wider significance of the proposed work.

Do not simply add ambitious claims about the potential impact of your research. Explain how the project addresses the funder’s stated criteria, and support those claims with an appropriate methodology and realistic outcomes.

A proposal prepared for an advertised doctoral project may also need a different emphasis from one proposing an independent research topic. In the former, demonstrate how your research interests and skills fit the existing project rather than presenting a completely unrelated study.

The Graduate Ellison Scholars 2027 programme at Oxford shows why scholarship applicants must examine project fit and selection procedures carefully. Its research areas follow different application routes, and candidates need to demonstrate how their background connects with the programme’s research priorities..

Common mistakes to avoid when writing a PhD research proposal

Several weaknesses can reduce the clarity and credibility of an otherwise promising application.

Choosing a topic that is too broad: Narrow the project to a defined question and realistic scope.

Writing a descriptive literature review: Compare findings, methods, and disagreements instead of summarizing papers individually.

Claiming a gap without evidence: Establish what existing research has addressed before explaining what remains unresolved.

Using vague objectives: Replace phrases such as “explore different aspects” with objectives that identify what will be investigated or evaluated.

Listing methods without justification: Explain why each method is appropriate for answering your research questions.

Ignoring practical constraints: Consider access to facilities, participants, datasets, funding, ethical approvals, and specialist training.

Overpromising results: Describe potential contributions without predicting discoveries or claiming guaranteed improvements.

Submitting a generic proposal: Adapt the document to the programme’s requirements and demonstrate genuine academic alignment.

A final consideration is academic integrity. Universities may have specific rules governing the use of generative AI in application materials. For example, Oxford’s DPhil in Management application guidance explicitly prohibits using generative AI to produce the research proposal. Check the current policy of every programme and ensure your submitted work complies with it.

PhD research proposal checklist before submission

Use this checklist to review the proposal after completing your draft.

I checked the university’s current proposal instructions, length, and format.
My title identifies a focused research topic.
The introduction explains a specific research problem.
My literature review uses relevant, verified academic sources.
The research gap is supported by existing literature.
My research questions are clear and realistically answerable.
Each research objective connects to a research question.
My methodology explains data collection and analysis.
I have considered ethics, data access, equipment, and other feasibility constraints.
My timeline includes realistic research milestones.
The expected contribution is specific and avoids exaggerated claims.
The proposal fits the department and potential supervisor’s expertise.
All citations and bibliography entries are accurate.
The document meets the university’s academic integrity and AI-use rules.
I have proofread the final version and checked the submission format.

Final advice: Start with the research question, not the template

A strong PhD research proposal begins with a problem worth investigating. The title, literature review, methodology, and timeline should all develop from that problem. Before writing a full draft, try explaining your proposed project in a short paragraph: what is currently understood, what remains uncertain, why that uncertainty matters, and how you could investigate it. If you cannot explain those connections clearly, refine the research idea before expanding the document.

Once your proposal has a focused question, credible evidence, appropriate methods, and realistic scope, you will be in a much better position to discuss it with prospective supervisors and prepare a competitive doctoral application. For the next stage, read our guide on emailing a professor about PhD opportunities to learn how to introduce your proposed research and approach suitable academic supervisors.

Official Sources:

Frequently asked questions about PhD research proposals

1. Can I apply for a PhD without a research proposal?

Yes, some programmes do not require one, particularly when applicants are applying to predefined research projects or structured doctoral programmes. Always check the specific course requirements. Even when a formal proposal is unnecessary, you may still need to explain your research interests during selection or interviews.

2. How many research questions should a PhD proposal have?

There is no fixed number. One central research question supported by two or three closely related subquestions is often a practical structure. The appropriate number depends on the project’s complexity, discipline, and methodology. Focus on whether the questions form a coherent doctoral project rather than meeting an arbitrary target.

3. Can I write a PhD proposal without previous research experience?

Yes, provided you meet the programme’s admission requirements. You can demonstrate research readiness through relevant coursework, dissertations, independent academic projects, or technical experience. However, previous research experience may be important or expected for some competitive programmes.

4. Does a PhD research proposal need a hypothesis?

Not always. Hypotheses are appropriate for studies designed to test specific relationships or predictions. Exploratory qualitative research, theoretical projects, and some humanities research may instead use research questions or analytical propositions. Choose the format that fits your discipline and research design.

5. Can I change my research topic after PhD admission?

Sometimes, but significant changes are subject to university and programme rules. Research questions and methods may develop during a doctorate, but changing the central research topic can require departmental or supervisor approval.

At Cambridge, a proposed change after an offer may need Degree Committee consideration, and funding tied to a specific project can limit the changes permitted.

Discuss any major revision with your department before assuming that you can change research direction after admission.

6. Should I contact a supervisor before writing my research proposal?

It depends on the programme. Some departments encourage early supervisor discussions, while others evaluate applicants through centralized admissions procedures. If preliminary contact is permitted, prepare a focused research idea and explain its relevance to the professor’s work. A short concept note may be sufficient for the initial discussion.

7. Can I use the same research proposal for different universities or scholarships?

You can use the same underlying research idea where appropriate, but you should adapt the proposal to each programme’s requirements. Different departments may have different word limits, methodological expectations, facilities, and supervision arrangements. Funding applications may also require a stronger explanation of relevance to the funder’s priorities.

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