Bill Burns completed his Ph.D. at the University of Oregon in Decision Science and subsequently held positions as a professor at the University of Iowa and UC Davis before moving to San Diego. He is currently a research scientist at Decision Research (Eugene, OR), an institute that focuses on judgment, decision making and risk perception, and is also associated with the National Center for Risk and Economic Analysis of Terrorism Events (CREATE at USC) where he has been named a CREATE Fellow and contributes to the risk assessment, risk perception and economic impact research. He is also a part-time faculty member at California State University San Marcos and the University of Redlands, where he teaches statistics and business analytics and is a faculty advisor for student-consulting projects. His work has been funded by the U.S. Department of Homeland Security and the National Science Foundation. Research and interviews related to the public’s response to the different crises have appeared in academic journals such as Management Science, Risk Analysis and Journal of Applied Communication Research and media such as The Wall Street Journal, The Huffington Post and National Public Radio. He has been the guest editor for a special issue in Risk Analysis entitled “Risk Perception and Behaviors: Anticipating and Responding to Crises”. He has also given keynote addresses at the International Crisis and Risk Communication Conference and the IEEE Intelligence Security Informatics Annual Conference.
Recently he spent three summers working in Washington D.C. at the TSA on a Department of Homeland Security University Faculty Fellowship. Work with the TSA has focused on modeling adaptive threats to commercial aviation. More generally, investigations over the near future focus on: 1) understanding the social psychology behind enhancing public resilience and demotivating terrorists; 2) developing a new generation of research focused on a dynamic rather than a static portrayal of risk perception, risk-related behavior, and policy preference and 3) understanding and mitigating factors that contribute to public susceptibility to misinformation in media stories (e.g. “fake news” stories in traditional and social media).