Call for papers: Applied Artificial Intelligence in Macro-Finance

This session part of the Stanford Institute for Theoretical Economics 2026 summer workshop series, will bring together researchers who are applying frontier AI and machine learning methods to improve measurement, policy analysis, and modeling in macroeconomics and finance. A central theme is the interaction between methodological innovation and economic insight: when and how does incorporating applied AI methods sharpen our understanding of macro-financial mechanisms? We welcome a broad range of perspectives to enrich this discussion.

The conference will be organized by Christopher Clayton (Yale University) and Antonio Coppola (Stanford University).

The conference will take place on July 27-28, 2026, at Stanford GSB. The call for papers is available here.