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Assignment Remit

Programme Title

Economics Suite

Module Title

Economics Dissertation

Module Code

38707

Assignment Title

Research Proposal Presentation

Level

LH

Weighting

15

Deadline Date & Time

13 November 2025

12pm

Feedback Post Date

16th working day after the deadline date

Assignment Format

Other

Assignment Length

10 minutes

Submission Format

Online

Individual

Module Learning Outcomes:

This assignment is designed to assess the following module learning outcomes. Your submission will be marked using the Grading Criteria given in the section below.

LO 1. Demonstrate an ability to work independently on an extended project

LO 2. Apply appropriate methods to the analysis of an economic issue

LO 3. Draw appropriate conclusions based on assembled data and insights from the degree overall.

LO 4. Present findings in a formal and appropriate format

Assignment:

This 10-minute recorded research proposal is an opportunity for you to pitch your dissertation project clearly, persuasively, and professionally. It acts as an early diagnostic to ensure your topic is well-defined, appropriately scoped, and methodologically sound, and it provides your supervisor with a foundation for ongoing guidance.

You are not expected to have completed your research, but you must demonstrate a credible plan and show that you understand what you’re doing, why it matters, and how you will do it. It is designed to help you:

•   Clarify your research question and project direction.

•    Receive early feedback on the scope, feasibility, and methodology of your proposed study.

•    Practice communicating complex economic research ideas clearly and concisely.

You must prepare and submit a 10-minute PowerPoint presentation, narrated by you, in which you present your planned dissertation. The recording should feature clear slides (including visuals, bullet points, and references where needed), and you must narrate the slides verbally.

You should assume you are addressing an academic audience who understands economics research and your job is to convince that your project:

•   Tackles an important question

•    Is grounded in relevant literature

Uses sound and feasible methods

Is achievable within the dissertation timeline and available resources

You must address the following eight core tasks. These align with the requirements for high-quality dissertation planning.

1.   Background and context: Outline the broader issue your dissertation will address while identifying motivation

2.   Research question: Clearly state your main research question or hypothesis. Ensure your question is specific, focused, and answerable.

3.   Preliminary literature review: Highlight key themes, debates, and gaps in the existing literature while showing what gap your question addresses in the literature or policy debate.

4.   Methodology: Explain your planned research design (e.g. empirical, theoretical, mixed.) and why your chosen approach is appropriate for your question

5.   Data: Explain what kind of data you will use and identify your proposed data source(s), if any.

6.   Anticipated findings (or hypotheses): Explain what kinds of results you expect to find. These can be speculative but should be plausible and logically connected to your question and methods

7.   Challenges and limitations: Anticipate difficulties (e.g., data issues, model complexity, access constraints) and discuss how you plan to mitigate or manage these challenges.

8.   Timeline: Present a realistic schedule for completing the dissertation over Semester 2 identifying key milestones.

Upload your recorded presentation to CANVAS by the stated deadline. Include your student ID on the first slide. Use Microsoft PowerPoint or a compatible format (e.g. .pptx + video narration or exported video). Add full references either throughout the slides or on the final slide.

Grading Criteria / Marking Rubric

Your submission will be graded according to the following criteria:

1.   Clarity of research question

2.   Demonstration of the significance of the research

3.   Awareness of existing literature

4.   Proposed methodology and data sources

5.   Feasibility and planning

6.   Timeline

7.   Quality of the Presentation

See the marking rubric at the end of the remit for more information on how your work will be marked and graded.

Ethical Use of Generative AI (GenAI)

This guidance applies to all summative and formative work in the Economics Dissertation module, including the 10-minute recorded research proposal presentation, research methods assignment and the final dissertation. The dissertation module assesses your  ability to work independently, think critically, and apply appropriate economic methods.

GenAI tools can support your thinking, but they cannot replace your own academic reasoning, literature engagement, or methodological design.

You may use GenAI to support tasks such as:

•    Brainstorming or refining your research question

•   Clarifying concepts or terminology in economics or econometrics

•   Outlining the structure of your proposal or dissertation (which you then write yourself)

•   Checking grammar and phrasing, particularly for clarity

•    Debugging code (e.g., in Stata, R, or Python)

•    Identifying keywords for searching academic databases

You may not use GenAI to:

•   Summarise academic articles you have not read

•   Conduct or write your literature review

•    Describe methods or models you do not understand

•   Generate or analyse data

•   Translate your work or paraphrase content for submission

•    Fill in placeholder content with the intention of editing later

•    Reword AI-generated content and submit it as your own thinking

GenAI should be applied with human oversight and control. You are responsible for reviewing all outputs critically, as AI tools can generate authoritative-sounding content that is incorrect, incomplete, uncritical, or biased. You may not submit any work generated by an AI tool as your own. Where you include any material generated by an AI tool, it should be properly declared, just like any other reference material. Alongside your assignment, you should provide a commentary in the Cover Sheet detailing how GenAI has been used to develop your final submission. If you have not used GenAI tools, you should clearly state this.

For the 10-minute recorded research proposal presentation, you must include a brief declaration -either spoken or on your final slide- stating whether and how you used GenAI. For example:

“I used ChatGPT to help me refine the phrasing of my research question. All literature summaries and methodological content were written independently.”