Team 8: Using Data Farming Techniques for Health Care Policy Analysis

dc.contributor.author	Reitter, Norman
dc.contributor.author	Widdis, Dan
dc.contributor.author	Lai, Kah Wah
dc.date	March 2010
dc.date.accessioned	2013-08-28T23:11:14Z
dc.date.available	2013-08-28T23:11:14Z
dc.date.issued	2010-03
dc.identifier.uri	https://hdl.handle.net/10945/35685
dc.description	from Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 8 Workshop 20	en_US
dc.description.abstract	Team 6 continues to participate in an ongoing study to examine the utility of distillation modeling in the Counter-IED (Improvised Explosive Devices) fight. Understanding social networks, their nature in insurgencies and IED networks, and how to impact them, is important to the Counter-IED battle. Team 6 is exploring methods of extracting, analyzing, and visualizing dynamic social networks that are inherent in agent-based models in order to build tools to examine and manipulate insurgencies. We are starting with basic clique creation scenarios as the initial basis of our investigations and are examining the types of network statistics that can be used as MOEs and pointers to unique and emergent behaviors of interest.	en_US
dc.rights	This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.	en_US
dc.title	Team 8: Using Data Farming Techniques for Health Care Policy Analysis	en_US
dc.type	Article	en_US

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