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The ultimate goal is to identify and isolate a threat at or before the point of device assembly and placement.
The key to prediction will be the ability to develop novel models and theoretical frameworks and to integrate data from diverse sources, which may include sensor information, psychology and sociology of terrorists, artificial intelligence, pattern recognition, and information management – areas in which NSF has long been active.
Specific topics of research may include the 1) recruitment and indoctrination of potential bombers, the detection of preparatory activities related to the planning and construction phases of bombings; 2) the detection of suspicious behaviors presaging imminent attacks, mathematical modeling of dynamic hybrid systems that include physical systems and human behavior; 3) new sensors and sensor networks that will quickly detect and predict the assembly and placement of explosive devices; 4) fully reconfigurable mechatronic stationary and mobile devices that will optimize in real-time the probability of tracking suspicious devices, substances or people; and 5) the enhanced use of available signal, image, and sensor data in decision-making and planning processes.