Kelsey Shoub is a post-doctoral research associate at the University of Virginia with the Center for Effective Lawmaking in the Frank Batten School of Leadership and Public Policy (2018-present). Her research examines both policy change and discourse, as well as race and public policy. Using big data techniques she investigates two questions in her dissertation, which she is transforming into a book: (1) why are some issues discussed more in the House and Senate than others; and (2) why does that policy discourse influence bill outcomes and policy change? In this work, she uses machine learning techniques of text to build a Congressional data set of speeches from 1995 through 2015 coded for what is being discussed and how it is being discussed. Within the second area, she studies the intersection of race and public policy in the US by focusing on racially disparate policing and its causes. This research has developed alternative ways to detect, measure, and quantify racial disparities in public policy.
She earned her Ph.D. from the University of North Carolina at Chapel Hill in 2018, where she specialized in both American Politics and Political Methodology. She earned my B.A. in Political Science and Philosophy, with Honors from The Ohio State University in May 2013, and earned her M.A. in Political Science from the University of North Carolina at Chapel Hill in August 2015.