Machine Learning in Economics Summer Conference (MLESC25)

The Machine Learning in Economics Summer Conference will be held at the University of 黑料传送门 on August 11–12, 2025.

MLESC brings together researchers working at the intersection of machine learning and economics. We are looking for submissions on research studying how machine learning methods (e.g., supervised and unsupervised learning algorithms, machine vision, text analysis) may be used to tackle existing questions and open new directions in fields like behavioral economics, applied microeconomics, development, and macroeconomics. Both empirical and theoretical papers are welcome.

We invite scholars, researchers, and students to register and attend the 2025 Machine Learning in Economics Summer Conference. Join us for a rich program of research presentations and discussions at the intersection of machine learning and economics.

Deadline to register for the conference is Tuesday, August 5th.

Keynote Speakers

Massachusetts Institute of Technology

University of California- Berkeley

Agenda

Monday, August 11, 2025
8:00 - 8:30 am	Coffee and Breakfast
8:30 - 9:45 am	Suproteem Sarkar, Booth School of Business \| Economic Representations , ETH Zurich \| Deep Latent Variable Models for Unstructured Data
9:45 - 10:15 am	Coffee Break
10:15 - 11:30 am	Giovanni Compiani, Booth School of Business \| , University of Bristol \| Copyright and Competition: Estimating Supply and Demand with Unstructured Data
11:30 - 1:00 pm	Lunch
1:00 - 2:15 pm	, Stanford Graduate School of Business \| Admissibility of Completely Randomized Trials: A Large-Deviation Approach , Booth School of Business \| (Deep) Learning Analyst Memory , Stanford University \| AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services , Harvard University \| , UC Berkeley \| Sparse Autoencoders for Hypothesis Generation
2:15 - 2:30 pm	Break
2:30 - 3:45 pm	, MIT \| AI Expropriation , Indiana University- Kelley School of Business \|
3:45 - 4:00 pm	Break
4:00 - 4:45 pm	, MIT \| Sufficient Statistics
Tuesday, August 12, 2025
8:00 - 8:30 am	Breakfast and Coffee
8:30 - 9:45 am	, Stanford University \| Optimal Conditional Inference in Adaptive Experiments , University of Pennsylvania \| Generative AI Can Harm Learning
9:45 - 10:15 am	Coffee Break
10:15 - 11:30 am	, Stanford University \| Simulating the Survey of Professional Forecasters , University of Tokyo \| Using Big Data and Machine Learning to Uncover How Players Choose Mixed Strategies
11:30 - 1:00 pm	Lunch
1:00 - 2:15 pm	, Stanford University \| The Political Content of College Courses , Brown University \| Hate in the Time of Algorithms: Evidence on Online Behavior from a Large-Scale Experiment , Princeton University \| The Price of Engagement: Estimating Preferences and Welfare Through Recommendation Algorithm Audits , MIT \| AI Agents Can Enable Superior Market Designs , Harvard University \| Generative AI and Organizational Structure
2:15 - 2:30 pm	Break
2:30 - 3:45 pm	, University of Illinois at Urbana-Champaign \| The Costs of Housing Regulation: Evidence From Generative Regulatory Measurement
3:45 - 4:00 pm	Break
4:00 - 4:45 pm	, UC Berkeley \| Thinking versus Doing: Cognitive Capacity, Decision Making and Medical Diagnosis

Conference Organizers

Sanjog Misra

Charles H. Kellstadt Distinguished Service Professor of Marketing and Applied AI

Sendhil Mullainathan

Distinguished Service Fellow

Assistant Professor of Economics, Northwestern University

Associate Professor of Operations, Information, and Technology, Stanford Graduate School of Business

Assistant Professor of Economics, Massachusetts Institute of Technology

Is there a recommended hotel?

The two nearest hotels to the conference are the SOPHY and the Study.

| 1411 East 53rd Street, 黑料传送门, IL 60615

| 1227 E 60th Street, 黑料传送门, IL 60637

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