5th
Conference
Mathematical Methods in Counterterrorism
Abstracts
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Responding to Terrorism: Risk Perceptions, Risk Communication and Societal Impacts
William Burns
Decision Research
Center for Risk and Economic Analysis of Terrorism Events (CREATE)
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Bayesian Modeling of Group Structure in Dynamic Networks
Jim Ferry
Senior Analyst
Metron, Inc.
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Understanding Terrorist Organizations with a Dynamic Model
Alexander Gutfraind
Center for Applied Mathematics
Cornell University
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Identification of a Common Group Dynamics underlying Recent Wars and Terrorism
Neil Johnson
Physics Department
University of Miami
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The Mathematical Challenges to Knowledge Systems Technologies for the Intelligence Community
Cliff Joslyn
Chief Scientist for Knowledge Sciences
Pacific Northwest National Laboratory
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Covert Affiliation Networks
Roy Lindelauf
Tilburg University, Netherlands
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What Order Theory Can Tell You About Comparing Apples and Oranges: The Problem of Selecting the Most Probable Target
George Markowsky
Department of Computer Science
University of Maine
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Regional Capabilities Performance Assessment for Homeland Security
William McGill
College of Information Sciences & Technology
Penn State
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CrimeFighter: A Toolbox for Counterterrorism
Uffe Kock Wiil
Counterterrorism Research Lab
The Maersk Mc-Kinney Moller Institute
University of Southern Denmark
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Quantifying Terrorism Risk Under the Obama Administration
Gordon Woo
Risk Management Solutions
United Kingdom
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Bioterrorism Risk Probabilistic Risk Analysis
Barry Charles Ezell
Virginia Modeling, Analysis and Simulation Center (VMASC)
Old Dominion University
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Collective Violence and Repression: Making Use of the Opposing Forces Diffusion Model
Daniel Myers
University of Notre Dame
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Network Science at West Point
Steve Horton
Department of Mathematical Sciences
United States Military Academy
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Algorithmic Prediction of Terrorism Surges: Non-linear dynamics approach
Vladimir Keilis-Borok
Institute of Geophysics and Planetary Physics and Department of Earth and Space Science
University of California, Los Angeles
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Inference and Interdiction in a Terror Queue Model
Edward H. Kaplan
William N and Marie A Beach Professor of Management Sciences
Yale School of Management
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Measuring Confidence Intervals in Link Discovery: A Bootstrap Approach
Jafar Adibi
PricewaterhhouseCoopers, LLP
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Knowledge to Action: DHS's Challenge for the Mathematical Community
Jennifer O'Connor
Human Factors/Behavioral Sciences Division
Science and Technology Directorate
Department of Homeland Security
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The VAST Contests – Mathematical Challenges
Georges Grinstein
Professor - Computer Science Department
Director - Institute for Visualization and Perception Research
Director - Center for Biomolecular and Medical Informatics
University of Massachusetts Lowell
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Communications and security in terrorist networks: a graph-theoretic model
Georg Gunther
Sir Wilfred Grenfell College
Memorial University of Newfoundland