Exploring scientific information for policy making under deep uncertainty

Exploring scientific information for policy making under deep uncertainty

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...

Full description

Saved in:
Bibliographic Details
Published in:Environmental modelling & software : with environment data news Vol. 86; pp. 232 - 247
Main Authors: Forni, Laura G., Galaitsi, S.E., Mehta, Vishal K., Escobar, Marisa I., Purkey, David R., Depsky, Nicholas J., Lima, Nilo A.
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01-12-2016
Elsevier Science Ltd
Subjects:
Accessibility
Bolivia
Case studies
Computer programs
Data visualization
Decision making
Decision space visualizations
Decision support tools
Policies
Robust decision making
Scenario modeling
Scientific visualization
Uncertainty
Visualization
Water resource
Bolivia
INE, USA, California
Robust decision making
Decision support tools
Decision space visualizations
Scenario modeling
Uncertainty
Water resource
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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. •We present a Decision Space Visualization (DSV) that condenses model results to tackle complex water management challenges.•DSV enables comparisons between potential management options against many uncertainties.•It allows exploring results in meaningful formats for decision makers that answers their most pressing questions.•The case studies presented suggests that DSV stimulates active engagement from stakeholders.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1364-8152
1873-6726
DOI:10.1016/j.envsoft.2016.09.021