Browse all documents

Getting the picture: using data visualization to make complex models more accessible to policy-makers

Report an error

Summary

AI-generated

This summary is written by a language model reading the source document. It is not the publisher's words and is not a substitute for the original.

Learn more about AI enrichment

This fact sheet describes the Robust Decision Support (RDS) approach developed by the Stockholm Environment Institute (SEI), which integrates water systems modelling, participatory techniques, and interactive data visualization to make complex climate and water management data accessible to policy-makers and stakeholders.

Key insights

AI-generated

These insights are written by a language model reading the source document. They are not the publisher's words and are not a substitute for the original.

Learn more about AI enrichment
  • The Robust Decision Support (RDS) approach is designed to identify water management strategies that remain effective across a wide range of future scenarios. It employs a cyclical process that alternates between technical scientific analysis and stakeholder engagement, involving scientists, resource managers, policy-makers, and citizens to define the scope, uncertainties, and performance metrics of the analysis.
  • To manage the vast amounts of data generated by the Water Evaluation and Planning (WEAP) system, SEI uses Tableau software to create interactive visualizations. These tools allow non-scientists to analyze hundreds or thousands of model runs, using color-coding (red for vulnerability above 50% and green for below 50%) to identify robust strategies and evaluate trade-offs between different sector objectives.
  • In a practical application in the Peruvian Chira-Piura watershed, the RDS tool enabled stakeholders to test 11 different strategies against 13 system performance metrics. For example, the analysis demonstrated that while constructing a new dam would significantly reduce vulnerability for hydropower generation, it could negatively impact other sectors or objectives, requiring policy-makers to weigh these trade-offs.

Cite the original document

APA
Forni, L., & Galaitsi, S. (2015). Getting the picture: using data visualization to make complex models more accessible to policy-makers. Stockholm Environment Institute. https://www.sei.org/mediamanager/documents/Publications/SEI-FS-2015-Data-visualization-complex-models.pdf
Chicago
Forni, Laura, and Stephanie Galaitsi. Getting the picture: using data visualization to make complex models more accessible to policy-makers. Stockholm Environment Institute, 2015. https://www.sei.org/mediamanager/documents/Publications/SEI-FS-2015-Data-visualization-complex-models.pdf.
Wikipedia
{{cite report |last1=Forni |first1=Laura |last2=Galaitsi |first2=Stephanie |title=Getting the picture: using data visualization to make complex models more accessible to policy-makers |publisher=Stockholm Environment Institute |date=2015 |url=https://www.sei.org/mediamanager/documents/Publications/SEI-FS-2015-Data-visualization-complex-models.pdf |access-date=17 August 2026 |via=Climate Insights Directory}}
BibTeX
@techreport{forni2015getting, author = {Forni, Laura and Galaitsi, Stephanie}, title = {{Getting the picture: using data visualization to make complex models more accessible to policy-makers}}, institution = {Stockholm Environment Institute}, year = {2015}, url = {https://www.sei.org/mediamanager/documents/Publications/SEI-FS-2015-Data-visualization-complex-models.pdf}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }

Full text

Collected · Record updated