2025 Conference on Frontiers in Machine Learning and Economics

October 3 & 4, 2025

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 “Frontiers in Machine Learning and Economics: Methods and Applications". 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 Chicago.



2025 Conference Agenda

Friday, October 3, 2025

 

9:00 - 10:00 am

Continental Breakfast  | Room 450

10:00 - 11:30 am

 

All sessions will be held in Room 400

Session 1: LLM Applications

AI Inventions and AI Talent Migrations: US and China” | Hanming Fang (Univ. of Pennsylvania), Xian Gu (Durham University), Hanyin Yan (Tsinghua University), Wu Zhu (Tsinghua University), Discussant: Lee Fleming (Univ. of California, Berkeley) 
 
A Century of Inflation Narratives” | Alexander K. Zentefis (Stanford University), Mourad Heddaya (Univ. of Chicago), Chenhao Tan (Univ. of Chicago), Rob Voigt (Northwestern University), Qingcheng Zeng (Northwestern University) 
Discussant: Leland Bybee (Univ. of Chicago) 

11:30am - 1:15 pm

Lunch | Room 450

1:15 - 2:45 pm

Session 2: Finance 

Economic Representations” | Suproteem Sarkar (Univ. of Chicago) 
Discussant: Bryan Routledge (Carnegie Mellon University) 
 
Firm-Level Input Price Changes and Their Effects: A Deep Learning Approach” | Indrajit Mitra (Federal Reserve Bank of Atlanta), Sudheer Chava (Georgia Institute of Technology), Wendi Du (Univ. of South Carolina), Agam Shah (Georgia Institute of 
Technology), Linghang Zeng (Babson College) , Discussant: Bradford Levy (University of Chicago) 

2:45 - 3:30 pm

Break

3:30 - 5:00 p

Session 3: Pricing 

The Rise of AI Pricing: Trends, Driving Forces, and Implications for Firm Performance” | Min Fang (Univ. of Florida), Jonathan Adams (Federal Reserve Bank of Kansas City), Zheng Liu (Federal Reserve Bank of San Francisco), Yajie Wang (Univ. of Missouri), Discussant: Kevin Lee (Univ. of Michigan) 

 

Algorithmic Collusion of Pricing and Advertising on E-commerce Platforms” | Ron Berman (Univ. of Pennsylvania), Hangcheng Zhao (Rutgers), Discussant: Ilya Morozov (Northwestern)

6:00 - 8:00 pm

Dinner & Keynote: Tamara Broderick (MIT) 

Room 621

Saturday, October 4, 2025

 

8:30 - 9:30 am

Continental Breakfast | Room 450

9:30 - 11:45 am

 

All sessions will be held in Room 400

Session 4: Methods  

Double Descent in Time Series” | Jesus Fernandez-Villaverde (Univ. of Pennsylvania), Pablo A. Guerron Quintana (Boston College), Discussant: Yuan Liao (Univ. of Iowa)

Anytime-Valid Inference for Double/Debiased Machine Learning of Causal Parameters” | Abhinandan Dalal (Univ. of Pennsylvania), Patrick Bloebaum (Amazon Web Services), Shiva Kasiviswanathan (Amazon Web Services) and Aaditya Ramdas (Carnegie Mellon University), Discussant: Rahul Singh (Harvard University)

Pre-Training Estimators for Structural Models: Application to Consumer Search” | Zhenling Jiang (Univ. of Pennsylvania), Yanhao “Max” Wei (Univ. of Southern California), Discussant: Guillaume Pouliot (Rice University)  

11:45am - 12:00 pm

Coffee Break

12:00 - 1:00 pm

Keynote: Dashun Wang (Northwestern University) | "AI and the Science of Science"

1:00 - 2:00 pm

Lunch & Departure | Room 450


Each contributed talk is assigned 45 minutes, including 25 minutes for the presenter, 10 minutes for the discussant, and 5 minutes for discussion