AI, Machine Learning, and Big Data in Finance and Economics

An exciting new webinar series:

The AI & Big Data in Finance Research Forum (ABFR) is an interdisciplinary community of scholars interested in the methods, applications, and socioeconomic implications of AI and big data. ABFR organizes monthly presentations and discussions of papers from the leading experts in AI and Big Data in finance and economics. The virtual talks are the last Thursday of each month from 12-1pm EST. 

The first talk is February 25, 12-1pm EST.
Presenter: Stefan Nagel (University of Chicago)
Discussant: Kent Daniel (Columbia University)

The next talks are:
3/25 Laura Veldkamp discussed by Ezra Oberfield
4/29 Wei Jiang discussed by Franceso D’Acunto
5/27 Bryan Kelly discussant TBA.

For webinar information and Zoom links see https://www.abfr-forum.org 

To stay up to date, join the mailing list at https://groups.google.com/u/0/g/abfr-forum

ABFR is organized by Svetlana Bryzgalova, Will Cong, Maryam Farboodi and Markus Pelger.  The hosting institutions are the Cornell FinTech Initiative and the Stanford AFTLab. The Advisory Committee includes Kay Giesecke, Gerald Hoberg, Wei Jiang, Bryan Kelly, Stefan Nagel, Andrew Patton, and Laura Veldkamp.