Addressing global environmental and social change presents a two-fold challenge to scientists and researchers. The problems are scientifically difficult because of their multi-disciplinary nature and operation at multiple spatial levels (i.e., global to regional to local) and time extents. Concurrently, the information produced by the science is often used in contentious decisions that involve significant scientific uncertainty and diverse stakeholders. Decision analysis offers a framework through which to navigate this two-fold challenge. Specifically, it explicitly links scientific knowledge and what stakeholders value to how decisions are made. This seminar will provide an overview of this framework and its application to climate-change indicators at national and regional (U.S. Pacific Islands and the northeastern U.S.) levels.
Dr. Michael D. Gerst is a Research Assistant Professor at the University of Maryland. His research encompasses the development and application of decision and systems analysis techniques to environmental problems. His current work focuses on the efficacy of indicators as decision support aids, the food-energy-water nexus in agriculture, and how experts learn from model-building exercises. He was previously on the research faculty at Dartmouth College and received his Ph.D. in Engineering and Applied Science from Yale University.
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Name: Laurel Pikcunas