![]() |
Doctoral Student Workshop on Economics of Artificial Intelligence
Organized by Ajay K. Agrawal, Joshua S. Gans, Avi Goldfarb, and Catherine Tucker Supported by the Alfred P. Sloan Foundation September 22, 2021 on Zoom.us |
Wednesday, September 22 | |
9:00 am |
Introduction
Ajay K. Agrawal, Joshua S. Gans, Avi Goldfarb and Catherine Tucker |
The Economics of Artificial Intelligence: An Agenda
Required Reading: 1. Introduction to "The Economics of Artificial Intelligence: An Agenda" 2. Economic Policy for Artificial Intelligence |
|
9:45 am |
Breakout room 1
|
10:15 am |
Laura Veldkamp, Columbia University and NBER
Data Macroeconomics Background 1 Background 2 Background 3 |
11:15 am |
Break - with breakout rooms open
|
11:30 am | |
12:30 pm |
Mara Lederman, University of Toronto
Some Implications of Machine Learning for Research in Economics: Research Tools and Research Questions |
1:30 pm |
Break - with breakout rooms open
|
2:00 pm |
Pascual Restrepo, Boston University and NBER
Technology and Automation: A Firm-level View Background 1 Background 2 Slides |
3:00 pm |
Break - with breakout rooms open
|
3:15 pm |
Susan Athey, Stanford University and NBER
The Economist as Engineer in the Age of Artificial Intelligence Optional Reading 1 Optional Reading 2 Optional Reading 3 |
4:15 pm |
Breakout room 2
|
4:50 pm |
Concluding remarks
|
5:00 pm |
Adjourn
|