ABSTRACT

Challenges in Computational Social Modeling and Simulation for National Security Decision-Making   [open pdf - 2MB]

"On October 26th and 27th, 2010, Sandia National Laboratories (SNL) organized an interdisciplinary workshop in which participants from a range of institutions and research backgrounds presented and discussed papers on a range of topics related to the development and use of computational social science (CSS) in national security decision-making. Computational social science refers to the use of computational modeling and simulation approaches, including agent-based, social network, discrete event, and systems dynamics methodologies, to study behavioral, cultural, and social dynamics. CSS has long roots in computer science, artificial intelligence, and quantitative social science. Over the past decade, CSS methods have captured the attention of the national security community as a source of analytic and decision-support technologies for a range of challenges, from counterinsurgency to terrorism." Note: This document has been added to the Homeland Security Digital Library in agreement with the Project on Advanced Systems and Concepts for Countering WMD (PASCC) as part of the PASCC collection. Permission to download and/or retrieve this resource has been obtained through PASCC.

Report Number:
Office of Strategic Research and Dialogues 2011 002; OSRD 2011 002
Author:
Publisher:
Date:
2011-06
Copyright:
Public Domain. Downloaded or retrieved via external web link as part of the PASCC collection.
Retrieved From:
ASCO/PASCC Archives via NPS Center on Contemporary Conflict
Media Type:
application/pdf
Source:
Challenges in Computational Social Modeling and Simulation for National Security Decision Making. Albuquerque, NM. October 26-27, 2010
URL:
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