Computer-supported Robust Decisionmaking

Featured

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.

  • A stream runs through the woods in autumn, Photo by ckramer/Fotolia/CC BY 2.0

    Report

    Managing Water Quality in the Face of Uncertainty

    Sep 9, 2015

    The U.S. Environmental Protection Agency, along with state and local partners, develops and implements water quality plans. But uncertainty about the impacts of climate change and other factors may make it harder to meet water quality goals. Robust Decision Making can help better manage this uncertainty.

  • 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.

Explore Robust Decision Making