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.
■ 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.
■ Cioffi‐Revilla, C. (2014). Seeing It Coming: A Complexity Approach to Disasters and Humanitarian Crises. Complexity, 19(6), 95-108.
■ Cioffi-Revilla, C. (2014). Introduction to Computational Social Science. London and Heidelberg: Springer.
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