We want to demonstrate our commitment to your privacy. In support of the changes to the EU data protection law, we’ve updated our privacy notice effective May 25, 2018.

From August 16–21, 2021, CAAI will host the first Summer Institute in Machine Learning in Economics (MLE). It is organized by Jens Ludwig (Chicago), Sendhil Mullainathan (Chicago), Ziad Obermeyer (Berkeley), and Jann Spiess (Stanford). Modeled after similar programs in behavioral economics, the Institute will bring together leading researchers with advanced graduate students and junior faculty every year; this year, due to Covid-19, the Institute will be held virtually, as a mix of public lectures and small-group sessions. 

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.

Format:

In addition to public lectures and panel discussions with faculty members, which will be open to the public this year, we will bring participants and faculty together in (virtual) social events and mentoring sessions in smaller groups.

Participating Faculty:

Eligibility:

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 2021) and junior faculty (who have completed their Ph.D. program after 2018). 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.

Application Materials Required:

  • CV
  • Unofficial Transcript
  • Statement of Research and Interest in MLE (3 pages maximum)
  • One-two letters of recommendation

Deadline to apply has been extended to May 18, 2021

Apply

Organizers

Joe Bergera

Joe Bergera, AM'92, MBA'92

Joe Bergera is president and CEO of Iteris, having joined the company in September 2015. With over 20 years of leadership experience in several technology companies, Joe is an industry veteran with particular expertise in the use of technology to solve complex problems in global vertical markets. At Iteris, Joe is an advocate for the use of smart mobility infrastructure management solutions to achieve safe, efficient and sustainable mobility. Previously, Joe served as group vice president, software of Roper Technologies, Inc., and president of iTradeNetwork, a Roper subsidiary. Prior to Roper, Joe held positions as executive vice president at CCH Wolters Kluwer and at Sage Software.

Joe Bergera, AM'92, MBA'92
Ziad Obermeyer

Ziad Obermeyer

Blue Cross of California Distinguished Associate Professor of Health Policy and Management, Berkeley School of Public Health

Ziad Obermeyer

Join Our Mailing List

Sign up to hear about new research initiatives and opportunities at the Center for Applied A.I.

Join Our Mailing List