Decisionmaking Under Deep Uncertainty
Our workshop aimed to foster a community of practice to improve methods and tools, facilitate their use in practice, and encourage sound decisionmaking.

Our workshop aimed to foster a community of practice to improve methods and tools, facilitate their use in practice, and encourage sound decisionmaking.

TU-Delft researchers propose a new method for refining promising policy options from the litany of possible futures that water management may face.

RDM helps SCRiM researchers answer, "What are sustainable, scientifically sound, technologically feasible, economically efficient, and ethically defensible climate-risk management strategies?"

TU-Delft and HCSS researchers use RDM to analyze the impact on Europe and its neighbors of the rise in shale gas exploration and production in the United States.

An effort in Southern California seeks to craft flexible, robust plans to guide resource allocation and facilitate discussions with constituents and ratepayers.
Robust Decision Making is a rigorous combination of scenario planning with powerful computing to support decisionmakers by helping to
Developed by researchers from RAND, Evolving Logic, the Pardee RAND Graduate School, and elsewhere, RDM can inform decisions under conditions of "deep uncertainty" in areas such as energy and resources management, infrastructure investment, and policy planning for cases in which stakeholders do not know — or cannot agree upon — actions, consequences, and probabilities.
RDM experts have applied the methodology in many areas. Learn more by clicking on the links below.
RDMlab is intended to provide a service to researchers and practitioners in other organizations. It is a seed to engender information sharing and collaboration among those who seek to make methods for decisionmaking under uncertainty widely available and applicable to a range of pressing policy problems.
We encourage you to browse the information available here and check back frequently for updates. Please contact us to discuss collaboration, dissemination, and participation through RDMlab.