The sequence of major events that occurred after entering the twenty-first century have all pointed to an effective emergency response as one of the most complex challenges many countries now face.
Social Computing in Homeland Security: Disaster Promulgation and Response presents a theoretical framework addressing how to enhance national response capabilities and ready the public in the presence of human-made or natural disasters. A practical reference for those involved in disaster response and management, this book explores fascinating topics including designing effective threat warning advisories, quantifying public reactions to and confidence in warning advisories, and assessing how anxiety and fear translate into impacts on effective response and social productivity.
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Amy Wenxuan Ding is an assistant professor at University of Illinois (USA). She received a PhD in information technology and cognitive science from Carnegie Mellon University (USA). She specializes in computational intelligence, mathematical description of natural intelligence, and advanced methods of modeling, simulation, and decision making. She has published numerous papers at various top-tiered academic journals. Currently she is an associate editor of the Journal of Defense Modeling and Simulation, and serves on the editorial boards of the International Journal of Social and Humanistic Computing and International Journal of Electronic Banking.
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