David L. Rousseau
PhD, Political Science, University of Michigan
MPP, Harvard University
BA, Economics, University of California at Berkeley
David Rousseau joined the University at Albany in 2005 and is currently an associate professor in the College of Emergency Preparedness, Homeland Security and Cybersecurity (CEHC). He has served in a variety of capacities at UAlbany including as the former dean of the Rockefeller College of Public Affairs & Policy.
His research focuses on military conflict, shared identity, political development, and foreign policy. His first book, Democracy and War: Institutions, Norms, and the Evolution of International Conflict (Stanford University Press, 2005), examines the relationship between institutional structures and political norms within international disputes using statistical analyses, historical case studies, laboratory experiments, and computer simulations. His second book, Identifying Threats and Threatening Identities: The Social Construction of Realism and Liberalism (Stanford University Press, 2006), explores the impact of shared identity on threat perception. In addition to his book publications, Dr. Rousseau has published articles in the American Political Science Review, the Journal of Conflict Resolution, and the Journal of Peace Research.
Prior to arriving at the University at Albany, Dr. Rousseau taught at Korea University, the University of Pennsylvania, and the University at Buffalo (SUNY).
He received his MPP from the Kennedy School of Government at Harvard University and his Ph.D. in Political Science from the University of Michigan.
CEHC Courses Taught
CEHC 210: Critical Inquiry and Communication in EHC
CEHC 324: Civil Liberties in Context: EHC
CEHC 343: Homeland Security
CEHC 370: Risk Analysis and Management
Military Conflict; Shared Identity; Political Development; Foreign Policy; Relationship Between Institutional Structures and Political Norms within International Disputes using Statistical Analyses; Impact of Shared Identity on Threat Perception; Mixed Methodologies (Historical Case Studies, Laboratory Experiments, Computer Simulations)