Robust Decision Making

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Robust decision making (RDM) is an analytic framework that helps identify potential robust strategies, characterize the vulnerabilities of such strategies, and evaluate trade-offs among them. RDM is being used at RAND to help decisionmakers in areas such as water resources planning, energy, and coastal resilience—areas often plagued with “deep uncertainty,” in which stakeholders do not know or agree on the relationships among actions, consequences, and probabilities.

  • An aerial view of Central Texas homes under water at Graveyard Point neighborhood community in the flood plain of Lake Travis, photo by RoschetzkyIstockPhoto / Getty Images

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    Climate Research at RAND

    May 17, 2019

    RAND researchers have a long history of shedding light on the social and economic implications of a changing climate, its impacts on the natural environment, and the challenges it poses to communities, regions, and our national security.

  • Flooding in Pittsburgh,  photo by Artem S/Getty Images

    Research Brief

    Green Infrastructure Can Help Manage Rainfall in an Urban Watershed

    Oct 29, 2020

    Urbanization, inadequate investment in aging infrastructure, and more-frequent heavy rainfall events due to climate change have led to sewer overflows, flooding, and reduced water quality in U.S. cities. The challenges of increasing volumes of stormwater can be addressed by a mix of solutions.

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    Nidhi Kalra

    Senior Information Scientist
    Education Ph.D. in robotics, Carnegie Mellon University; B.S. in computer science, Cornell University

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    Kurt Klein

    Assistant Policy Researcher; Ph.D. Candidate, Pardee RAND Graduate School
    Education M.P.P., University of California, Los Angeles; B.S. in physics, University of Michigan, Ann Arbor

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    Steven W. Popper

    Senior Economist; Professor, Pardee RAND Graduate School
    Education Ph.D. in economics, University of California, Berkeley; B.S. in biochemistry, University of Minnesota

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    Joel B. Predd

    Director, Acquisition and Technology Policy Center; Senior Engineer
    Education Ph.D. in electrical engineering, Princeton University; B.S. in electrical engineering, Purdue University

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    Kyle Siler-Evans

    Engineer
    Education Ph.D. in engineering and public policy, Carnegie Mellon University; M.A. in teaching, Johns Hopkins University; B.S. in mechanical engineering, Colorado State University

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    Michael W. Robbins

    Statistician
    Education Ph.D. in mathematical sciences, Clemson University; M.S. in mathematical sciences, Clemson University; B.S. in mathematics, economics, Duke University

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    Danielle C. Tarraf

    Senior Information Scientist; Professor, Pardee RAND Graduate School
    Education Ph.D. in mechanical engineering (control theory), MIT; S.M. in mechanical engineering, MIT; B.E. in mechanical engineering, American University of Beirut

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    Andrada Tomoaia-Cotisel

    Associate Policy Researcher
    Education Ph.D. in health services research & policy, London School of Hygiene & Tropical Medicine; M.P.H., University of Utah; M.H.A., University of Utah; B.A. in human biology, Stanford University