Ann Bostrom is the Weyerhaeuser Endowed Professor in Environmental Policy at the Daniel J. Evans School of Public Policy & Governance at the University of Washington. She joined the Evans School faculty in 2007 after serving on the faculty at Georgia Tech from 1992-2007. From 1999 to 2001 she took leave to co-direct the Decision Risk and Management Science Program at the National Science Foundation (NSF).
Bostrom researches mental models of hazardous processes (how people understand and make decisions about risks). Currently she is collaborating with interdisciplinary teams to study risk perceptions and communication strategies for environmental and health risks, for example, regarding climate change, tropical cyclones, earthquake and tsunami risks, and earthquake early warning. As a member of the risk communication and leadership teams in the new NSF AI Institute for Research on Trustworthy Artificial Intelligence in Weather, Climate, and Coastal Oceanography (AI2ES), she is also conducting research to better understand trust of AI by professionals in the environmental sciences.
Bostrom is the recipient of the Chauncey Starr Award and of the Distinguished Educator Award from the Society for Risk Analysis, of which she is a Fellow and Past President. Bostrom is also a Fellow and elected member of the Boards of Directors for the American Association for the Advancement of Science (AAAS) and the Washington State Academy of Sciences. She has served on science advisory committees for several federal agencies and contributed to National Academies workshops and reports on a variety of science and risk communication topics, ranging from assessing U.S. tsunami preparedness and reviewing the U.S. tsunami warning and forecast system, to managing cancer risks associated with radiation exposure during crewed space missions.
Dr. Bostrom holds a B.A. in English (creative writing) from the University of Washington, an M.B.A. from Western Washington University, which included studies at the Stockholm School of Economics, and a Ph.D. in policy analysis from Carnegie Mellon University. She also completed postdoctoral studies in Engineering and Public Policy at Carnegie Mellon University, and in cognitive aspects of survey methodology at the Bureau of Labor Statistics.