Hands-on workshops on AI tools for economics research, led by PhD students. Sessions are designed for attendees to apply skills in real time.
| Date | Time | Location |
|---|---|---|
| February 3, 2026 | 4:00–5:00 PM | KAP 319 |
| March 24, 2026 | 4:00–5:00 PM | KAP 319 |
Neil He: Using GPT as a Data-Labeling Tool for Economics Research
Tutorial on using GPT via API to convert unstructured text into analysis-ready variables. Covers API calls, schema design, batching, and export.
Daniil Sherstnev: Retrieval-Augmented Generation (RAG) for LLMs
Framework for grounding LLM outputs in a user-provided knowledge base to reduce hallucinations and enable access to local files and niche literature.
Joshua Levy: Cursor for Economists: An AI-First IDE from RA to Referee
Using Cursor across the research lifecycle: project scaffolding, data collection, custom ML tools, and producing reproducible exhibits.
Sankalp Sharma: Agentic Web Scraping with Claude Code
Building web scrapers without writing code manually. Covers project initialization, dependency management, error handling, and supervising AI-generated code.
Each session folder contains slides and code examples. Video recordings are available in the this Dropbox folder.
See individual session folders for setup instructions. Generally: Python 3.10+, API keys for relevant services.
Organized by David Schonholzer. For questions, contact the workshop organizers or open an issue.