Course Catalogue

This doctoral course provides an introduction to how recent advances in generative AI are reshaping research in economics and finance. The course covers how to integrate AI into research workflows, discusses applications from recent research papers, introduces tools for working with large language models at scale, and explores how participants can identify opportunities to apply AI in their own research projects. The course will also cover recent developments in agentic coding, including the use of coding agents and reproducible AI workflows for research.

The teaching consists of ordinary lectures, guest lectures, hands-on sessions with Codex, and student presentations.

The course requirement is to write a term paper on exploiting generative AI at scale. The paper must be written in English, and completed in groups of 3-4 students. The paper is due four weeks after course completion.

Visit our website for more information (see course details).