ABSTRACT

Modeling and Simulation of Incident Management for Homeland Security Applications: Draft   [open pdf - 901KB]

"Incident management models and simulations may be used to support analysis, planning, and training needs pertaining to terrorist attacks, national security events, natural and man-made disasters. Simulation models may be used to understand incident management systems, interdependencies with other systems, their vulnerabilities, and the impact of emergency incidents on the population and responder community. Incident management models and simulations will be used to support training exercises, performance measurement, conceptual design, impact evaluation, response planning, analysis, acquisition, conceptualizing and evaluating new systems, vulnerability analysis, economic impact, and determining interdependencies between incident management and other infrastructure systems. The goal of this document is to capture the current knowledge and information resources that can serve as a common baseline for researchers and developers of incident management models and simulations for homeland security applications. This initial version of the document attempts to assemble relevant, publicly available information from a number of sources within U.S. Department of Homeland Security (DHS) and the modeling and simulation (M&S) communities. This document is intended to help initiate the discussion of the current leading research, development, standards, and implementation issues within the incident management M&S community, as it relates to homeland security. The document will be updated based on the input of domain experts across government, research, and commercial organizations. These experts will be invited to join together in a workshop to review and extend this document for its final publication."

Publisher:
Copyright:
Public Domain
Retrieved From:
National Institute of Standards and Technology (U.S.): http://www.nist.gov/
Media Type:
application/pdf
Source:
DHS/NIST Workshop on Homeland Security Modeling & Simulation. June 14-15, 2011
URL:
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