Conference on Frontiers in Machine Learning and Economics

The Federal Reserve Bank of Philadelphia and the Center for Applied AI at the University of Chicago Booth School of Business are hosting a conference on Frontiers in Machine Learning and Economics: Methods and Applications on October 18-19, 2024. The goal of this biennial conference is to bring together leading researchers across fields that work at the intersection of machine learning and the social sciences. This year’s conference will be held at the Federal Reserve Bank of Philadelphia in Philadelphia, PA.

Call for Papers

Examples of potential topics include (but are not limited to):

• Methodological advances in analyzing complex and high-dimensional datasets.
• Methodological advances in Natural Language Processing, in particular with respect to causal inference.
• Innovative applications of Generative AI.
• The societal impacts of AI and algorithmic decision making.  

We welcome submissions from fields outside of economics that use methods and data that are of interest to economists. The conference is non-archival, and we aim to include about 10 papers in the program and assign discussants. 

Confirmed plenary speakers:

• Sendhil Mullainathan | University of Chicago
• Arvind Narayanan | Princeton

Submissions

We are no longer accepting submissions.

For any questions, please contact caai@chicagobooth.edu or visit the conference website.