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Visual Decision Support for Policy Making: Advancing Policy Analysis with Visualization

By Tobias Ruppert, Jens Dambruch, Michel Krämer, Tina Balke, Marco Gavanelli, Stefano Bragaglia, Federico Chesani, Michela Milano and Jörn Kohlhammer


Today’s politicians are confronted with new information technologies to\ud tackle complex decision-making problems. In order to make sustainable decisions,\ud a profound analysis of societal problems and possible solutions (policy options)\ud needs to be performed. In this policy-analysis process, different stakeholders are\ud involved. Besides internal direct advisors of the policy makers (policy analysts),\ud external experts from different scientific disciplines can support evidence-based decision making. Despite the alleged importance of scientific advice in the policy-making\ud process, it is observed that scientific results are often not used. In this work, a concept\ud is described that supports the collaboration between scientists and politicians. We propose a science–policy interface that is realized by including information visualization in the policy-analysis process. Therefore, we identify synergy effects between\ud both fields and introduce a methodology for addressing the current challenges of\ud science–policy interfaces with visualization. Finally, we describe three exemplary\ud case studies carried out in European research projects that instantiate the concept of\ud this approach

Topics: Policy analysis, visualization
Publisher: Springer
Year: 2015
DOI identifier: 10.1007/978-3-319-12784-2_15
OAI identifier: oai:iris.unife.it:11392/2023412
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