College of Science

Claudio Cioffi-Revilla, PhD, DPolSc

University Professor Emeritus, College of Science
AAAS Honorary Fellow | NAS Jefferson Science Fellow

PhD, Mathematical Political Science State University of New York, Buffalo

Key Interests
Disaster Science | Applied Mathematics | Resilience Theory and Research | Computational Social Science | National and Homeland Security | Anthropogenic Disasters
Phone: 571-286-2648 | Email:

Research Focus

I am an interdisciplinary scientist with forty years of experience conducting research on complex systems, including applications to coupled social, natural, and engineered systems. Extreme events in complex systems require data-driven, mathematical, and computational models to assess and estimate risks. Strategic analysis involving extreme events in complex systems requires formal assessment tools, data, and a proper mix of modeling tools capable of generating results in terms of valuable insights. Such results provide a basis for mitigation, preparedness, recovery, and reconstruction. Resilience analysis is a major application of theory and research on extreme events in complex systems.

Current Projects

■ Development of an interdisciplinary science of hazards, disasters, and resilience.

■ Development of formal foundations and mathematical methods for interdisciplinary research.

■ Application of interdisciplinary methods and tools to cross-domain complex systems and extreme events.

■ Extensions of strategic analysis and related applications to social complexity theory and research.

Select Publications

Cioffi-Revilla, C. (2016). Universal Laws of Disaster. In: 2016 IEEE Global Humanitarian Technology Conference (GHTC) (pp. 272-279). IEEE.

■ Cioffi‐Revilla, C. (2014). Seeing It Coming: A Complexity Approach to Disasters and Humanitarian Crises. Complexity, 19(6), 95-108.

■ Cioffi-Revilla C. (2016). Socio-Ecological Systems. In: Bainbridge W., Roco M. (eds) Handbook of Science and Technology Convergence. Springer, Cham.

■ Cioffi-Revilla, C. (2014). Introduction to Computational Social Science. London and Heidelberg: Springer.