This CSSI Seminar is jointly hosted with the Data Analytics and Computational Social Science (DACSS) program.
Bryce Dietrich is an Associate Professor in the Department of Political Science, Director of the Computational Social Science Lab, and a research scholar at the Center for C-SPAN Scholarship and Engagement (CCSE). 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. These methods are used to understand the causes and consequences of non-verbal cues, such as vocal inflections and walking trajectories, especially as they relate to elite political behavior.
Professor Dietrich's work has appeared in the Nature, American Political Science Review, Journal of Politics, Political Analysis, and Political Psychology. This work has also received grant support from major organizations, including the National Institutes of Health and the National Science Foundation. Dr. Dietrich's work has been covered by popular outlets like NPR, BBC, The Economist, The Washington Post, and FiveThirtyEight. He received his Ph.D. from the University of Illinois and was recently a postdoctoral research fellow at Harvard's Kennedy School and Northeastern University.
