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

Tobias Ruppert (), Jens Dambruch (), Michel Krämer (), Tina Balke (), Marco Gavanelli (), Stefano Bragaglia (), Federico Chesani (), Michela Milano () and Jörn Kohlhammer ()
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Tobias Ruppert: Fraunhofer Institute for Computer Graphics Research
Jens Dambruch: Fraunhofer Institute for Computer Graphics Research
Michel Krämer: Fraunhofer Institute for Computer Graphics Research
Tina Balke: University of Surrey
Marco Gavanelli: University of Ferrara
Stefano Bragaglia: University of Bologna
Federico Chesani: University of Bologna
Michela Milano: University of Bologna
Jörn Kohlhammer: GRIS, TU Darmstadt & Fraunhofer IGD

Chapter 15 in Policy Practice and Digital Science, 2015, pp 321-353 from Springer

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

Keywords: Pareto Front; Policy Instrument; Policy Analysis; Policy Option; Information Visualization (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:paitcp:978-3-319-12784-2_15

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DOI: 10.1007/978-3-319-12784-2_15

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