2026 Conference on Frontiers in Machine Learning and Economics

November 6, 2026

About the Conference

 
The Federal Reserve Bank of Philadelphia and the Center for Applied Artificial Intelligence at the University of Chicago Booth School of Business are hosting an upcoming conference on “Frontiers in Machine Learning and Economics: Methods and Applications,” on November 6th, 2026. The goal of this annual 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 in Philadelphia at the Federal Reserve Bank. 

 View last year's agenda here. 


Confirmed Plenary Speakers

Michael Kearns University of Pennsylvania

Call For Papers

Submit Your Paper

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. 


Submissions 

Completed manuscripts (including early drafts) should be submitted no later than July 12th.

Submissions should be in PDF format and indicate the presenting author. Authors of accepted papers will be notified in July.

If you have any questions please email caai@chicagobooth.edu

Conference Organizers

FAQs

Where will the conference be held?
The conference will take place at The Federal Reserve Bank of Philadelphia.