Energy Engineering & Systems Analysis
Argonne National Laboratory Energy and Global Security U.S. Department of Energy

The Center for Integrated Resiliency Analyses

Circular graphic depicting CIRA capabilities

Major disruptive events are a fact of life. In the years since World War II, our understanding of what threatens national security has grown beyond military concerns to include economic disruption resulting from critical materials shortages to extreme weather. Recent events have shown that true national security requires both an understanding of and an ability to plan for climate change impacts, beginning at the local level and progressing up to the national and beyond.

To help communities and other entities prepare for and meet emergency response challenges, Argonne National Laboratory's multidisciplinary Center for Integrated Resiliency Analyses (CIRA) develops planning tools for local, regional, state and federal decision makers to identify and reduce vulnerabilities in physical and social infrastructures, as well develop mitigation and recovery plans that can speed recovery times after events, and strategies to improve the resiliency of energy infrastructures, especially as more officials begin to plan for the effects of climate change on their regions.

Argonne's expertise in analyzing how communities, regions, states and even countries can strengthen their preparation for both sudden disasters and the extended effects of climate change. This work extends to building computer-based models that help officials in charge of complex systems such as cities or power plants to prepare for emergencies.

CIRA's infrastructure assessments draw from and use physical and cyber security analysis databases and tools, modeling and simulation technologies and expertise to support the entire preparedness spectrum and prevent, protect against, respond to and recover from all hazards, including conventional, chemical, biological, radiological and nuclear terrorism. CIRA's offerings include:

  • Infrastructure Assessment
  • Climate Modeling
  • Integrated Social Science Modeling
  • High-Performance Computer Systems Modeling

July 2014

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