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Journal article

Exploring scientific information for policy making under deep uncertainty

This paper describes the use of a Decision Space Visualization (DSV) that condenses model results to tackle complex water management challenges, drawing on case studies in Bolivia and California.

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Forni, L.G., S.E. Galaitsi, V.K. Mehta, M.I. Escobar, D.R. Purkey, N.J. Depsky, and N.A. Lima (2016). Exploring scientific information for policy making under deep uncertainty. Environmental Modelling & Software, 86, 232–247.

Each actor evaluating potential management strategies brings her/his own distinct set of objectives to a complex decision space of system uncertainties. The diversity of these objectives and uncertainties requires detailed and rigorous analyses that respond to multifaceted challenges. The utility of this information depends on the accessibility of scientific information to decision makers.

This paper demonstrates data visualization tools for presenting scientific results to decision makers in two case studies, La Paz/El Alto, Bolivia, and Yuba County, California. Visualization output from the case studies combines spatiotemporal, multivariate and multirun/multiscenario information to produce information corresponding to the objectives and uncertainties described by key actors. These tools can manage complex data and distill scientific information into accessible formats.

Using the visualizations, scientists and decision-makers can navigate the decision space and potential objective trade-offs to facilitate discussion and consensus-building. These efforts can help identify stable negotiated agreements between different stakeholders.

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10.1016/j.envsoft.2016.09.021 Closed access
Topics and subtopics
Water : Water resources, Adaptation
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