Uncertainty-Sensitive Heterogeneous Information Fusion: Assessing Threat with Soft, Uncertain, and Conflicting Evidence
Presents research on methods for heterogeneous information fusion -- combining data that are qualitative, subjective, fuzzy, ambiguous, contradictory, and even deceptive, in order to form a realistic assessment of threat in a counterterrorism context.
Feb 1, 2016
National Security Implications of Virtual Currency: Examining the Potential for Non-state Actor Deployment
This report examines the feasibility for non-state actors, including terrorist and insurgent groups,to increase their political and/or economic power by deploying a virtual currency (VC) for use in regular economic transactions.
Dec 16, 2015
We describe basic research that uses a causal, uncertainty-sensitive computational model rooted in qualitative social science to fuse disparate pieces of threat information.
Dec 14, 2015
Causal Models and Exploratory Analysis in Heterogeneous Information Fusion for Detecting Potential Terrorists
Describes research fusing heterogeneous information in an effort eventually to detect terrorists, reduce false alarms, and exonerate those falsely identified.
Nov 17, 2015
This report examines dimensions of the changing flood insurance environment in New York City and explores the consequences for the city's residents and businesses.
Oct 25, 2013
Even as many in New York City struggle to rebuild after Hurricane Sandy, changes in the flood insurance market are increasing premiums for those living near the coast. This brief examines the gravity of the news and what can be done in response.
Oct 25, 2013