Using New Data to Answer Old Questions

The explosion of new data sources has created new opportunities, and necessitated new machine learning methods, to answer old questions in the health and social sciences.

This talk discusses three stories under this theme: first, using image data to quantify inequality in policing; second, using text data to interpretably predict target variables and characterize disparities; and third, using address data to infer fine-grained migration patterns.

Organized by:

Institute of AI in Management
LMU Munich