The New Horizons in Bioterrorism Workshop
New Horizons in Bioterrorism. Author | Editor: Canna, S. (NSI, Inc) & Ackerman, G. (University of Maryland, START). The objective of the New Horizons in Bioterrorism workshop, held on 11-12 August 2008 in Arlington, Virginia, was to explore existing and future developments in bioterrorism through the elicitation and generation of adversary courses of action (ACOAs) […]
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Information Challenges in Federated Analysis
Overcoming Information Challenge in Federated Analysis: From Concepts to Practice. Author | Editor: Canna, S. (NSI, Inc). The Overcoming Information Challenge in Federated Analysis: from Concepts to Practice workshop, held on 27-28 August 2008, was convened in response to requests from US Special Operations Command and US Strategic Command, Lieutenant General Carter F. Ham, Director […]
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Unconventional Challenges in the Human Domain
The Human Domain: The Unconventional Collection and Analysis Challenge Workshop. Author | Editor: Canna, S. & Popp, R. (NSI, Inc). One of the major challenges the US has faced during the opening decades of the 21st Century is the growth in the number and international reach of insurgents, terrorists, WMD proliferators and other sorts of […]
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Social Science Modeling and Visualization
Social Science Modeling and Information Visualization Workshop. Author | Editor: Canna, S. & Popp, R. (NSI, Inc). The Social Science Modeling and Information Visualization Workshop provided a unique forum for bringing together leading social scientists, researchers, modelers, and government stakeholders in one room to discuss the state-of-the-art and the future of quantitative/computational social science (Q/CSS) […]
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Moral Emotions – Predicting Political Attitudes
The role of moral emotions in predicting political attitudes about post-war Iraq. Author: Polansky (Pagano), S. & Huo, Y. J. Abstract A web-based study of 393 undergraduates at a public university in the United States was conducted to examine the relationship between moral emotions (i.e., emotions that motivate prosocial tendencies) and support for political actions […]
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Counter Terrorism Through Information Technology
Countering Terrorism Through Information Technology Author: Popp, R. et al. September 11, 2001 might have been just another day if the U.S. intelligence agencies had been better equipped with information technology, according to the report of Congress’s Joint Inquiry into the events leading up to the Sept. 11 attacks. The report claims that enough relevant […]
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Countering Terrorism with IT and Privacy Protection
Countering Terrorism through Information and Privacy Protection Technologies Author: Popp, R. & Poindexter, J. Abstract Security and privacy aren’t dichotomous or conflicting concerns—the solution lies in developing and integrating advanced information technologies for counterterrorism along with privacy-protection technologies to safeguard civil liberties. Coordinated policies can help bind the two to their intended use. The terrorist […]
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Information Technologies for Countering Terrorism
Emergent Information Technologies and Enabling Policies for Counter-Terrorism. Editors: Popp, R. & Yen, J. This book explores both counter-terrorism and enabling policy dimensions of emerging information technologies in national security. After the September 11th attacks, “connecting the dots” has become the watchword for using information and intelligence to protect the United States from future terrorist […]
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Social Science to Understand Strategic Threat
Utilizing Social Science Technology to Understand and Counter the 21st Century Strategic Threat Author: Popp, R. During the Cold War era, the strategic threat against the US was clear. The country responded clearly with a policy toward the Soviet threat that centered on deterrence, containment, and mutually assured destruction. To enforce this policy, the US […]
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m-Best S-D Assignment Algorithm for Tracking
m-Best S-D Assignment Algorithm with Application to Multitarget Tracking. Author: Popp, R., Pattipati, K. & Bar-Shalom, Y. Abstract In this paper we describe a novel data association algorithm, termed m-best S-D, that determines in O(mSkn^3) time (m assignments, S >=3 lists of size n, k relaxations) the (approximately) m-best solutions to an S-D assignment problem. […]
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