The Federal Reserve Bank of Philadelphia and the Center for Applied Artificial Intelligence (AI) at the University of Chicago Booth School of Business are hosting a conference, “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 who 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.
Confirmed Plenary Speakers
- Sendhil Mullainathan, University of Chicago
- Arvind Narayanan, Princeton University
Organizers
- Jonas Arias, Economic Advisor and Economist, Federal Reserve Bank of Philadelphia
- Thorsten Drautzburg, Economic Advisor and Economist, Federal Reserve Bank of Philadelphia
- Simon Freyaldenhoven, Machine Learning Senior Economist, Federal Reserve Bank of Philadelphia
- Christian B. Hansen, Wallace W. Booth Professor of Econometrics and Statistics, University of Chicago Booth School of Business
- Vitaly Meursault, Machine Learning Economist, Federal Reserve Bank of Philadelphia
- Sanjog Misra, Charles H. Kellstadt Professor of Marketing and Applied AI, University of Chicago Booth School of Business
- Minchul Shin, Economic Advisor and Machine Learning Economist, Federal Reserve Bank of Philadelphia