Joshua M. Epstein
Professor of Epidemiology
Dr. Joshua M. Epstein’s research focuses on modeling complex social, economic, and biological systems using agent-based computational models and nonlinear dynamic systems.
Dr. Epstein has extensive experience in mathematical and computational modeling of biomedical and social dynamics at all scales - from local to national to planetary. He pioneered the technique of agent-based computational modeling and has applied it to problems in social, behavioral, and biomedical science by modeling economic dynamics, patterns of civil violence, the evolution of norms, the computational reconstruction of the ancient civilization of the Anasazi, and the epidemiology of the 2009 Swine Flu pandemic, smallpox, HIV, and Ebola. To design evacuation and longer-term adaptation to climate change, he combined computational fluid dynamics (i.e. toxic plume dispersion) with human behavior to create a stunning 3D artificial Los Angeles. In response to Zika and in collaboration with colleagues and the New York Department of Health and Mental Hygiene, Dr. Epstein has developed an artificial New York City to be applied to urban health policy challenges. His work has had a profound influence on emerging infectious diseases, bioterrorism, and the nascent field of disaster health, which is being developed under Presidential Directive (I-ISPD-21).
Dr. Epstein is the Director of the Agent-Based Modeling Lab, which works with large-scale epidemic models and cognitively plausible agents in order to produce a transformative synthesis for global public health modeling through the generative social science approach.
Previously, Dr. Epstein has worked at John Hopkins University, Princeton University, University of Pittsburgh, George Mason University, the Sante Fe Institute, and the Brookings Institution. He has also authored and co-authored seminal books, including Growing Artificial Societies: Social Science from the Bottom Up; Generative Social Science: Studies in Agent-Based Computational Modeling; and Agent_Zero: Toward Neurocognitive Foundations for Generative Social Science.
BA, Independent Scholar with Thesis in Political Economy, Amherst College, Amherst, MAPhD, Political Science (Specialization: Security Studies, Communist Studies, and Economics), Massachusetts Institute of Technology, Cambridge, MA
Honorary Doctorate of Science, Amherst College (2010)Director’s Pioneer Award, National Institutes of Health (2008)Rockefeller Foundation International Relations Fellowship (1984)Council on Foreign Relations International Affairs Fellowship (1983)Ford Foundation Dual Expertise Fellowship in Soviet/East European Area Studies and International Security/Arms Control (1981)Institute for the Study of World Politics Fellowship (1981)
Agent-Based ModelingApplied EconomicsCost AnalysisDisaster HealthEpidemiologyHealth EconomicsInfectious DiseasesMathematical and Computational ModelingModeling Social and Behavioral DynamicsNew York Department of Health and Mental HygienePublic Health SystemsUrban HealthUrban InformaticsUrban Science
Assessing the Military Balance: Defense Analysis and the Defense DebateEpstein, J.
Journal titleThe Brookings Review
The Calculus of Conventional War: Dynamic Analysis Without Lanchester TheoryEpstein, J.
Measuring Military PowerEpstein, J.
Horizontal Escalation: Sour Notes of a Recurrent ThemeEpstein, J. In The Use of Force.
On Conventional Deterrence in Europe: Questions of Soviet ConfidenceEpstein, J.
Soviet Vulnerabilities in Iran and the RDF DeterrentEpstein, J.
Journal titleInternational Security