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Explorative Visualization of Impact Analysis for Policy Modeling by Bonding Open Government and Simulation Data

  • Dirk Burkhardt
  • Kawa Nazemi
  • Egils Ginters
  • Artis Aizstrauts
  • Jörn Kohlhammer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9172)

Abstract

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.

Keywords

Information visualization Visual analysis Impact analysis Simulation Open Government Data Policy modeling Decision making 

Notes

Acknowledgment

Part of this work has been carried out within the FUPOL project, funded by the European Union under the grant agreement no. 287119 of the 7th Framework Programme. This work is majorly based on the SemaVis technology developed by Fraunhofer IGD (http://www.semavis.net). SemaVis provides an adaptive and modular approach for visualizing heterogeneous data for various users.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Dirk Burkhardt
    • 1
    • 2
  • Kawa Nazemi
    • 1
    • 2
  • Egils Ginters
    • 3
  • Artis Aizstrauts
    • 3
  • Jörn Kohlhammer
    • 1
  1. 1.Fraunhofer Institute for Computer Graphics Research (IGD)DarmstadtGermany
  2. 2.Department of Computer ScienceTU DarmstadtDarmstadtGermany
  3. 3.Sociotechnical Systems Engineering InstituteVidzeme University of Applied SciencesValmieraLatvia

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