About the Speaker
Bryce J. Dietrich is an Assistant Professor of Social Science Informatics in the Department of Political Science at the University of Iowa and the Iowa Informatics Initiative (UI3). His research uses novel quantitative, automated, and machine learning methods to analyze non-traditional data sources such as audio (or speech) data and video data. He uses these to understand the causes and consequences of elite emotional expression in a variety of institutional settings, with a particular emphasis on non-verbal cues, such as vocal pitch. More recently, he has used text, audio, and video analysis to explore issues related to descriptive representation and implicit gender/racial bias. His work has appeared in the American Political Science Review, Political Analysis, Political Psychology, and the Journal of Elections, Public Opinion, & Parties. He received his Ph.D. from the University of Illinois. He also received an M.A. from the University of Kansas. His work has received grant support from the NIH, Amazon, C-SPAN, and the Kinder Institute on Constitutional Democracy. It has also won the Kathleen L. Burkholder Prize from the University of Illinois and been featured in numerous popular outlets like BBC Radio, NPR, The Economist, the Washington Post, and FiveThirtyEight.