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Explorative visualization of impact analysis for policy modeling by bonding open government and simulation data

: Burkhardt, Dirk; Nazemi, Kawa; Ginters, Egils; Aizstrauts, Artis; Kohlhammer, Jörn


Yamamoto, S.:
Human interface and the management of information. 17th international conference, HCI International 2015. Vol.1: Information and knowledge design : Los Angeles, California, USA, August 2-7, 2015, Proceedings
Cham: Springer International Publishing, 2015 (Lecture Notes in Computer Science 9172)
ISBN: 978-3-319-20611-0 (Print)
ISBN: 978-3-319-20612-7 (Online)
International Conference on Human-Computer Interaction (HCI International) <17, 2015, Los Angeles/Calif.>
International Conference on Human Interface and the Management of Information (HIMI) <2015, Los Angeles/Calif.>
Conference Paper
Fraunhofer IGD ()
Business Field: Visual decision support; Research Area: Human computer interaction (HCI); information visualization; visual analysis; simulation; policy modeling; decision making

Problem identification and solution finding are major challenges in policy modeling. Statistical indicator-data build the foundation for most of the required analysis work. In particular finding effective and efficient policies that solve an existing political problem is critical, since the forecast validation of the effectiveness is quite difficult. Simulation technologies can help to identify optimal policies for solutions, but nowadays many of such simulators are stand-alone technologies. In this paper we introduce a new visualization approach to enable the coupling of statistical indicator data from Open Government Data sources with simulators and especially simulation result data with the goal to provide an enhanced impact analysis for political analysts and decision makers. This allows, amongst others a more intuitive and effective way of solution finding.