Benjamin J. Radford
Benjamin J. Radford received his Ph.D. in Security, Peace, & Conflict and Political Methodology in December 2016. His dissertation introduces a method by which machine learning and word embedding are used to rapidly generate event datasets customized to specific domains or research problems. The technique's generalizability is demonstrated in the creation of a novel event dataset on cybersecurity, a topic for which neither event data nor the requisite dictionaries were previously available. Ben's current research interests include the application of machine learning models to problems in social science, especially with respect to the measurement of latent variables, event data generation, and conflict forecasting. He also studies political conflict in cyberspace. Ben has professional experience as a Principal Data Scientist and performs on advanced defensive cybersecurity research programs for the United States Government.