Machine Learning in Economics Summer Conference

The Machine Learning in Economics Summer Conference will be held at the University of Chicago 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.

Register today

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

Keynote Speakers

Nikhil Agarwal

Massachusetts Institute of Technology

Jon Kolstad

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 Elliott Ash, 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 \| Demand Estimation with Text and Image Data Sukjin Han, University of Bristol \| Copyright and Competition: Estimating Supply and Demand with Unstructured Data
11:30 - 1:00 pm	Lunch
1:00 - 2:15 pm	Chao Qin, Stanford Graduate School of Business \| Admissibility of Completely Randomized Trials: A Large-Deviation Approach Laurenz De Rosa, Booth School of Business \| (Deep) Learning Analyst Memory Sarah H. Cen, Stanford University \| AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services Ruru Hoong, Harvard University \| Calibrated Coarsening in Human-AI Interaction: Theory and Experiments Raj Movva, UC Berkeley \| Sparse Autoencoders for Hypothesis Generation
2:15 - 2:30 pm	Break
2:30 - 3:45 pm	Danielle Li, MIT \| AI Expropriation Marina Niessner, Indiana University- Kelley School of Business \| AI Personality Extraction from Faces: Labor Market Implications
3:45 - 4:00 pm	Break
4:00 - 4:45 pm	Nikhil Agarwal, MIT \| Sufficient Statistics
Tuesday, August 12, 2025
8:00 - 8:30 am	Breakfast and Coffee
8:30 - 9:45 am	Jiafeng Chen, Stanford University \| Optimal Conditional Inference in Adaptive Experiments Alp Sungu, University of Pennsylvania \| Generative AI Can Harm Learning
9:45 - 10:15 am	Coffee Break
10:15 - 11:30 am	Sophia Kazinnik, Stanford University \| Simulating the Survey of Professional Forecasters Michihiro Kandori, 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	Samuel Thau, Stanford University \| The Political Content of College Courses Aarushi Kalra, Brown University \| Hate in the Time of Algorithms: Evidence on Online Behavior from a Large-Scale Experiment Calvin Jahnke, Princeton University \| The Price of Engagement: Estimating Preferences and Welfare Through Recommendation Algorithm Audits Ben S. Manning, MIT \| AI Agents Can Enable Superior Market Designs Fiona Chen, Harvard University \| Generative AI and Organizational Structure
2:15 - 2:30 pm	Break
2:30 - 3:45 pm	Alexander W. Bartik, 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	Jon Kolstad, UC Berkeley \| Thinking versus Doing: Cognitive Capacity, Decision Making and Medical Diagnosis

Conference Organizers

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

The SOPHY | 1411 East 53rd Street, Chicago, IL 60615

The Study | 1227 E 60th Street, Chicago, IL 60637

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Machine Learning in Economics Summer Conference (MLESC25)

August 11-12, 2025

Keynote Speakers

Nikhil Agarwal

Jon Kolstad

Agenda

Conference Organizers

Sanjog Misra

Sendhil Mullainathan

Annie Liang

Jann Spiess

Ashesh Rambachan