Diag Davenport is a Behavioral Science PhD student at the University of Chicago Booth School of Business, where he studies various Diag Davenport topics at the intersection of big data and behavioral economics. Much of his research has been informed by his industry experience as an ec onomic consultant for corporate litigation and as a data analyst at a variety of organizations, ranging from a small DC startup to the Board of Governors of the Federal Reserve. His research uses tools from economics, psychology, and machine learning to ta ckle a wide array of social and economic problems, including criminal justice, startup investing, motivation, discrimination, and social capital.
