Linking Data Science And Behavioral Science To Build Better Poverty Policy

 
Published on Jan. 20, 2017

In recent years, researchers and policymakers have become more interested in applying "big data" and behavioral insights to understanding and responding to poverty, but often these two domains are thought of separately. In this webinar, James Guszcza, U.S. Chief Data Scientist at Deloitte Consulting, and Justin Sydnor, Associate Professor in the Department of Risk and Insurance at the University of Wisconsin School of Business, explore how data science and behavioral science can be applied together to help build better poverty-related policies.