Intelligence and security informatics: biosurveillance

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The 2007 NSF BioSurveillance Workshop built on the success of its predecessor, focusing on real-time data sharing and analysis for animal and public health surveillance. It gathered infectious disease informatics researchers and practitioners from diverse fields, including epidemiology, statistics, applied mathematics, information systems, computer science, and machine learning/data mining. The workshop aimed to achieve several objectives: reviewing real-time data sharing approaches for health surveillance from both technological and policy perspectives; identifying key technical challenges in syndromic surveillance for animal and human diseases; and providing a platform for collaboration among IDI researchers to explore future research opportunities. The event featured numerous contributions from global IDI research groups, comprising one invited presentation, 17 long papers, six short papers, and two posters. Jointly hosted by the University of Arizona, University of California, Davis, Rutgers University, and the University of Washington, the workshop fostered meaningful discussions and advancements in the field.