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Visual decision support for policy making: Advancing policy analysis with visualization

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


Janssen, M.:
Policy Practice and Digital Science : Integrating Complex Systems, Social Simulation and Public Administration in Policy Research
Cham: Springer International Publishing, 2015 (Public Administration and Information Technology 10)
ISBN: 978-3-319-12784-2 (online)
ISBN: 978-3-319-12783-5 (print)
Book Article
Fraunhofer IGD ()
Business Field- Visual decision support; Business Field- Digital society; Research Area- Human computer interaction (HCI); information visualization; visual analysis; policy modeling; decision support

Todayâs 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 curre nt 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.