GenAI and Research
GenAI and Research
When GenAI can write papers, what should you do?
Quentin Gallea — The Causal Mindset
About
This website shares lecture content from a course currently taught at the University of Neuchatel on how generative AI tools — large language models, coding agents, retrieval-augmented generation — are transforming research workflows in economics and the social sciences. The material follows the complete research cycle, from reading papers and reviewing literature to brainstorming hypotheses, analyzing data, writing, and presenting — exploring both traditional methods and GenAI tools at every stage.
The goal is not just to use these tools, but to use them responsibly and rigorously, understanding their strengths, limitations, and the risks they introduce to scientific work.
What You’ll Find Here
- Critical comparisons of traditional research methods with AI-assisted approaches
- Practical guidance on using generative AI tools responsibly at each stage of the research process
- An honest evaluation of the strengths, biases, and risks of AI tools applied to research
Sessions
| # | Topic | Materials |
|---|---|---|
| 01 | The AI Revolution | Available |
| 02 | Deep Dive into LLMs | Available |
| 03 | Everyday Life with GenAI | Available |
| 04 | Reading Scientific Research | Available |
| 05 | Literature Review | Available |
| 06 | Skills: Building Reusable AI Tools | Available |
| 07 | Creativity & Brainstorming | Available |
| 08 | Coding & Data Analysis | Coming soon |
| 09 | Deep Research & Web Search | Coming soon |
| 10 | Scientific Writing | Coming soon |
| 11 | Paper Review / Referee | Coming soon |
| 12 | Presenting | Coming soon |
| 13 | Claude Code & Agentic AI | Coming soon |