Announcing MLESI '23!

We are happy to announce applications are now open for the Machine Learning in Economics Summer Institute, which will be held in Chicago, August 16-23, 2023. The deadline for applications is March 17. 


Program Description:

Every August, CAAI hosts the Machine Learning in Economics Summer Institute (MLESI), organized by Jens Ludwig, Sendhil Mullainathan, Ashesh Rambachan (MIT), and Jann Spiess (Stanford). Modeled after similar programs in behavioral economics, the Institute brings together leading researchers with advanced graduate students and junior faculty to build community and push forward cutting-edge research ideas. Past visiting faculty included Susan Athey, Guido Imbens, Annie Liang, Manish Raghavan, Stefan Wager, and many others bridging computer science, statistics, and economics. The list of participating faculty for this year is forthcoming. 

Goal of the program:

1. to introduce researchers to the new methods and data used in machine learning (e.g., supervised and unsupervised learning algorithms, machine vision, text analysis), and how they relate to longstanding questions around causal inference, experimental design, fairness and bias, and econometric theory; and

2. to build intuitions for how these methods can open up new questions for economists in fields like macroeconomics, behavioral science, health, development, public, labor, or applied microeconomics generally.


MLESI23 will be held in-person on the University of Chicago campus in beautiful Hyde Park. The program typically includes lectures, panel discussions, tutorials, office hours, and social activities.


Participation in the full program is by application, and limited to around 30 Ph.D. students and early-career researchers (post-docs and junior faculty who have completed their Ph.D. program in 2020 or later). Candidates in economics and related disciplines (e.g., computer science, statistics, etc.) who have a strong interest and advanced training in formal economics are welcome to apply. 


Applicants are required to submit their CV, an unofficial transcript, and a research/interest statement. Ph.D. students must also submit one letter of recommendation.

Applications for MLESI23 are open until March 17.



Grey Placeholder Image

Jens Ludwig

Edwin A. and Betty L. Bergman Distinguished Service Professor, Harris School of Public Policy

Jens Ludwig


Join Our Mailing List

Sign up to hear about new research initiatives and opportunities at the Center for Applied AI

Join Our Mailing List