20 practical, difficulty-rated ways Economics students at Hobart and William Smith Colleges can use AI — each naming the exact tutorial it links to and what you’ll take away. Click any card to watch it.
Before you use these on graded work: check your professor’s policy on AI.
It differs by course, and these examples are study aids — not permission.
Easy
Explain an economic concept
Clarify comparative advantage with a simple numeric example. The linked tutorial covers a 10-step ChatGPT prompt system — standard definition, an explain-it-to-a-10-year-old version, real-life analogies, a simple diagram, then a comparison table — that you aim at any concept you're stuck on.
What you'll take awayA repeatable prompt sequence that turns a confusing idea into a definition, an analogy and a diagram you can check against your course notes.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Explain an economic concept — Clarify comparative advantage with a simple numeric example.
Start with a one-sentence definition, then explain it as if I'm 10, then give a real-world analogy. Finish by flagging anything scholars genuinely disagree about — and tell me what you're unsure of.
Pull out the identification strategy and what the result does not establish. The linked tutorial covers MacMost's copy-paste method — pull an article into reader view, paste it into ChatGPT after 'summarize this:', then ask for a set word count or a 10-bullet version; also how to grab a YouTube transcript to summarise a video.
What you'll take awayHow to compress a long reading or video into a summary of the exact length you need, and why pasting the source keeps it accurate.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Summarize an NBER working paper — Pull out the identification strategy and what the result does not establish.
Give me (1) a three-sentence summary, (2) five bullet-point key claims, and (3) anything the author asserts without supporting evidence. Text below:
[PASTE THE TEXT HERE]
Explain elasticity, deadweight loss, and marginal utility. The linked tutorial covers ChatGPT's Study Mode (type /study), an interactive tutor that guides you with questions step by step instead of just handing over the answer.
What you'll take awayHow to switch ChatGPT into tutor mode so it drills you on terms and ideas rather than doing the thinking for you.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Define economic terms — Explain elasticity, deadweight loss, and marginal utility.
Define each term in one clear sentence, then give a concrete example of each in context. Once I've read them, quiz me on them one at a time and tell me what I got wrong and why.
Generate research questions in labor or development economics. The linked tutorial covers three brainstorming methods in ChatGPT — a reusable custom-instructions 'brainstorm paradigm', an AI-diagram tree that fans one topic into dozens of branches, and a SWOT prompt to pressure-test an idea.
What you'll take awayThree prompt patterns you can reuse to go from a blank page to a categorised list of options, plus a way to stress-test the one you pick.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Brainstorm thesis topics — Generate research questions in labor or development economics.
Give me 10 options grouped into 3 themes, then mark the 3 most original and explain what makes them stronger.
Explain what a shift in the supply curve implies. The linked tutorial covers uploading an image to ChatGPT with the + button and asking questions about it — the demo uploads a problem and asks ChatGPT to explain what it shows.
What you'll take awayHow to get AI to read a picture, diagram or screenshot you're stuck on, rather than trying to describe it in words.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Interpret a graph — Explain what a shift in the supply curve implies.
I'm uploading an image. Describe what you can actually see first, then interpret it, and tell me what you're uncertain about.
Summarize how a carbon tax is intended to work. The linked tutorial covers a 10-step ChatGPT prompt system — standard definition, an explain-it-to-a-10-year-old version, real-life analogies, a simple diagram, then a comparison table — that you aim at any concept you're stuck on.
What you'll take awayA repeatable prompt sequence that turns a confusing idea into a definition, an analogy and a diagram you can check against your course notes.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Explain a policy — Summarize how a carbon tax is intended to work.
Start with a one-sentence definition, then explain it as if I'm 10, then give a real-world analogy. Finish by flagging anything scholars genuinely disagree about — and tell me what you're unsure of.
Write a request for data access to a research office. The linked tutorial covers drafting an email in ChatGPT and improving it through conversation — the first draft is deliberately generic, then detail is added turn by turn — plus what not to paste in for privacy.
What you'll take awayWhy the first draft always reads like AI, how to iterate it into your own voice, and to keep real names out of the prompt.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Draft an email requesting data access — Write a request for data access to a research office.
Keep it under 150 words: polite, specific, with one clear ask. Give me two versions — one formal, one warmer. Don't include real names, ID numbers, or anything private.
Turn micro theory formulas into review cards. The linked tutorial covers prompting ChatGPT for a set of question-and-answer flashcards on a topic, then exporting the set straight into Quizlet.
What you'll take awayA pipeline from topic to a study-ready Quizlet deck in a couple of minutes.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Create flashcards for micro theory formulas — Turn micro theory formulas into review cards.
Create 20 flashcards formatted as 'Question | Answer', one per line, so I can paste them straight into Quizlet or Anki. Keep each answer under 25 words.
Break down an economic story from the financial press. The linked tutorial covers a 10-step ChatGPT prompt system — standard definition, an explain-it-to-a-10-year-old version, real-life analogies, a simple diagram, then a comparison table — that you aim at any concept you're stuck on.
What you'll take awayA repeatable prompt sequence that turns a confusing idea into a definition, an analogy and a diagram you can check against your course notes.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Explain a news article — Break down an economic story from the financial press.
Start with a one-sentence definition, then explain it as if I'm 10, then give a real-world analogy. Finish by flagging anything scholars genuinely disagree about — and tell me what you're unsure of.
Structure a clear approach to a utility maximization problem. The linked tutorial covers using ChatGPT across the research-paper workflow — finding a topic where a genuine gap exists, then structuring the paper around it.
What you'll take awayHow to pick a defensible topic and lay out the sections before you start writing.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Outline a problem set answer — Structure a clear approach to a utility maximization problem.
Give a topic-sentence outline only — not full prose. For each section, state the argument it makes and the evidence it would need.
Use Copilot to compute summary stats and build charts. The linked tutorial covers dragging a dataset straight into ChatGPT and prompting it to describe the data, produce descriptive statistics per column, and chart the columns you care about.
What you'll take awayHow to interrogate a spreadsheet conversationally, and why the 'analyzing' step means it ran real code rather than guessing.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Analyze a dataset in Excel — Use Copilot to compute summary stats and build charts.
I'm uploading my dataset. First describe what's in it and flag any data-quality problems, then answer my question, and show the code you ran so I can check it myself.
Contrast Keynesian and monetarist views on stabilization. The linked tutorial covers a compare-and-contrast prompt in ChatGPT (demonstrated on Buddhism vs Hinduism) that asks for similarities and differences, then expands any point you want more depth on.
What you'll take awayA prompt for structured comparisons, and how to push ChatGPT to elaborate on the specific dimension you care about.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Compare economic theories — Contrast Keynesian and monetarist views on stabilization.
Give me a table of the key similarities and differences, then one short paragraph on which difference matters most and why.
Synthesize multiple studies on minimum wage effects. The linked tutorial covers ResearchRabbit — seed it with one paper, then explore the citation network visually to surface related work and spot gaps.
What you'll take awayA way to map a literature landscape from a single starting paper instead of searching keyword by keyword.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Build a literature review on minimum-wage effects — Synthesize multiple studies on minimum wage effects.
Group the sources below into themes, show where they agree and disagree, and name the gap that's left. Do not invent sources.
[PASTE SOURCES OR ABSTRACTS HERE]
Outline hypothesis, data, and identification strategy. The linked tutorial covers ChatGPT Projects as a workspace — turning a rough idea into a full plan with timelines, task assignments and a risk assessment that stays organised across sessions.
What you'll take awayHow to go from a vague goal to a structured plan with milestones and risks, kept in one persistent workspace.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Plan an empirical project — Outline hypothesis, data, and identification strategy.
Break this into phases with milestones, working backwards from [DUE DATE]. Include the top 3 risks and how I'd mitigate each.
Explain coefficients, significance, and caveats from a table. The linked tutorial covers dragging a dataset straight into ChatGPT and prompting it to describe the data, produce descriptive statistics per column, and chart the columns you care about.
What you'll take awayHow to interrogate a spreadsheet conversationally, and why the 'analyzing' step means it ran real code rather than guessing.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Interpret regression output — Explain coefficients, significance, and caveats from a table.
I'm uploading my dataset. First describe what's in it and flag any data-quality problems, then answer my question, and show the code you ran so I can check it myself.
Organize OLS assumptions and diagnostics for an exam. The linked tutorial covers building a custom study plan with ChatGPT using the Ultralearning why/what/how framework — benchmarking how others learn it, then a week-by-week plan with deliverables and grading rubrics.
What you'll take awayA prompt sequence that produces a personalised study schedule with checkable milestones, plus a pass where ChatGPT critiques the plan as an expert.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Build an econometrics study guide — Organize OLS assumptions and diagnostics for an exam.
I have [X hours per week] and my exam is on [DATE]. Build a week-by-week plan with specific deliverables, and for each week give me a way to check I've actually learned it.
Write and debug code, then validate model assumptions. The linked tutorial covers dragging a dataset straight into ChatGPT and prompting it to describe the data, produce descriptive statistics per column, and chart the columns you care about.
What you'll take awayHow to interrogate a spreadsheet conversationally, and why the 'analyzing' step means it ran real code rather than guessing.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Run a regression in Python or R — Write and debug code, then validate model assumptions.
I'm uploading my dataset. First describe what's in it and flag any data-quality problems, then answer my question, and show the code you ran so I can check it myself.
Plan a difference-in-differences design and check identification. The linked tutorial covers designing a study end-to-end in ChatGPT — research questions, hypotheses, survey items, sample size and sampling method, R code for the analysis, then implications and titles.
What you'll take awayA full research-design workflow, including how to answer a reviewer who says your sample is too small.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Design a causal inference study — Plan a difference-in-differences design and check identification.
Propose a research question, hypotheses, method, sample and sampling strategy, and the analysis plan. Then critique the weaknesses of your own design.
Build an agent-based model and verify its equilibrium behavior. The linked tutorial covers pasting a broken snippet into ChatGPT with the prompt 'scan the following code for potential problems' — it finds the bug (a divide-by-zero), explains why it happens and returns a fixed version.
What you'll take awayA debugging prompt formula, plus the habit of re-running the fixed code to confirm the error is actually gone.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Simulate a market model — Build an agent-based model and verify its equilibrium behavior.
Tell me what's wrong, explain why it happens, then give the corrected version. Walk through the fixed code line by line with a concrete input.
[PASTE YOUR CODE AND THE ERROR HERE]
Fit and evaluate an ARIMA model, checking residual diagnostics. The linked tutorial covers dragging a dataset straight into ChatGPT and prompting it to describe the data, produce descriptive statistics per column, and chart the columns you care about.
What you'll take awayHow to interrogate a spreadsheet conversationally, and why the 'analyzing' step means it ran real code rather than guessing.
Starter prompt — paste into ChatGPT
I'm an Economics student at HWS. My task: Forecast a time series — Fit and evaluate an ARIMA model, checking residual diagnostics.
I'm uploading my dataset. First describe what's in it and flag any data-quality problems, then answer my question, and show the code you ran so I can check it myself.