Diag Davenport - Center for Decision Research | Chicago Booth

Diag Davenport

Diag Davenport

Email | Personal Website

Education

MS, Mathematics & Statistics, Georgetown University
BS, Economics, Penn State University

Background

Diag is a Behavioral Science PhD student at the University of Chicago Booth School of Business. Much of his research has been informed by his industry experience as an economic 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. Before matriculating to UChicago, he earned a master's degree in Mathematics & Statistics at Georgetown University while conducting research under the supervision of Dr. Kimberly Sellers in the Mathematics department. Prior to that, he earned bachelor's degrees in Economics and Management at Penn State under the keen tutelage of Jamie Campbell.

Research Interests

Diag studies various topics at the intersection of big data and behavioral economics. His research blends a mix of theoretical, experimental, and field methods to describe and predict how people act on information. Topics of interest include crime, housing policy, legal decision making, and the interpretability of ML algorithms.

Selected Publications & Presentations 

Zhu L, Sellers K, Morris D, Shmueli G, Davenport D (2017) cmpprocess: Flexible Modeling of Count Process, https://cran.r-project.org/web/packages/cmpprocess/index.html

Sellers KF, Morris D, Balakrishnan N, Davenport D (2017) multicmp: Flexible Modeling of Multivariate Count Data via the Multivariate Conway-Maxwell-Poisson Distribution, https://cran.r-project.org/web/packages/multicmp/index.html