Machine Learning in Economics Summer Institute 2022 (MLESI22)
August 15-20, 2022
From August 15–20, 2022, CAAI will host the Machine Learning in Economics Summer Institute (MLESI). Our organizers this year are Jens Ludwig (Chicago), Sendhil Mullainathan (Chicago), Jann Spiess (Stanford), and Ashesh Rambachan (Harvard). Modeled after similar programs in behavioral economics, the Institute will bring together leading researchers with advanced graduate students and junior faculty every year to build community and push forward cutting-edge research ideas. Past visiting faculty included Susan Athey, Guido Imbens, Victor Chernozhukov, as well as other faculty members bridging computer science, statistics, and economics.
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.
- Dan Björkegren, Asst Professor of Economics, Brown University
- Annie Liang, Asst Professor of Economics, Northwestern University
- Pepe Montiel Olea, Asst Professor of Economics, Columbia University
- Stefan Nagel, Professor of Finance, Chicago Booth
- Manish Raghavan, Asst Professor of Computer Science, MIT Sloan
- Chenhao Tan, Asst Professor of Computer Science, UChicago
- Stefan Wager, Assc Professor of Operations, Information, and Technology, Stanford GSB
*Additional names to be added
MLESI22 will be held in-person on the University of Chicago campus at the Rubenstein Forum. The program will include lectures, panel discussions, tutorials, office hours, and social activities.
Participation in the full program will be by application, and limited to around 30 Ph.D. students (who will have completed one year of their program by summer 2022) and junior faculty (who have completed their Ph.D. program after 2019). Candidates in economics and related disciplines (e.g., computer science, statistics, etc.) who have a strong interest and advanced training in formal economics are eligible.
- unofficial transcript
- research/interest statement
- one letter of recommendation
Note: Junior faculty applicants are not required to submit transcripts or recommendation letters.
Application deadline has been extended to May 25, 2022.
Edwin A. and Betty L. Bergman Distinguished Service Professor, Harris School of Public PolicyJens Ludwig
There is no registration fee or cost to attend MLESI22.
We expect students to seek their own funding for travel. If they are unable to find appropriate funding, they may request financial aid.
No, the Summer Institute this year will be fully in-person, and we look forward to engaging with you on campus.
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