Dr. Workman is an Associate Professor in the Department of Political Science at the University of Oklahoma. He is also a research faculty member at the Center for Risk and Crisis Management and a fellow of the Center for Intelligence and National Security. He was previously an Assistant Professor in the Department of Government at the University of Texas and Associate Director of the U.S. Comparative Agendas Project, where he remains a faculty affiliate. His research and teaching interests lie in the fields of American politics, public policy, and research methodology. More specifically, Professor Workman studies bureaucracy and regulatory politics and policy.
Workman is a social scientist working at the intersection of public policy, data science, and statistics. He specializes in public policy, the bureaucracy, regulatory politics, and statistics. his interests involve text-as-data, machine learning, and statistical modeling, especially classification stochastic processes, and maximum likelihood methods. He teaches courses in public policy, agenda setting, regulatory policy, and statistics. His current academic projects examine congressional bureaucracies, the regulatory politics of education policy, and agenda setting in food policy.
He also provides statistical consulting in the private sector, specializing in the grocery floral category. He work focuses on data-driven decision-making and management, custom reporting, and data-informed programming.