Uncertainty Information Theory

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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.

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    Research Brief

    Robust Decision Making Aids Planning Under Deep Uncertainty

    Mar 5, 2013

    Quantitative analysis is often indispensable to sound planning, but with deep uncertainty, predictions can lead decisionmakers astray. Robust Decision Making supports good decisions without predictions by testing plans against many futures.

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