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

    Content

    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.

  • RDM decision tree

    Project

    RDMlab Innovates in Development of Robust Decision Sciences

    Jan 6, 2014

    A collaboration among RAND, the Pardee RAND Graduate School, Evolving Logic, and network partners, RDMlab promotes the development and use of Robust Decision Making (RDM) methods for policy and decisionmaking.

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