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Towards a tighter coupling of visualization and public policy making

: Ruppert, Tobias; Bernard, Jürgen; Lücke-Tieke, Hendrik; Kohlhammer, Jörn


Chen, M. ; Institute of Electrical and Electronics Engineers -IEEE-; IEEE Computer Society:
IEEE Conference on Visual Analytics Science and Technology, VAST 2014. Proceedings : 9–14 November 2014, Paris, France
Piscataway, NJ: IEEE, 2014
ISBN: 978-1-4799-6227-3
ISBN: 978-1-4799-6186-3
Conference on Visual Analytics Science and Technology (VAST) <9, 2014, Paris>
Fraunhofer IGD ()
Visual analytics; information visualization; similarity measures; similarity metric; similarity search; Business Field: Visual decision support; Research Area: Human computer interaction (HCI)

The purpose of this ongoing work is to motivate public policy making as an application area for information visualization and visual analytics. Through our expertise gathered in several policy making-related projects, we identified parallels between the benefits of visualization and the needs of evidence-based public policy making. In the following, we will share our previous work consisting of the conceptual introduction of information visualization and visual analytics into the application field of public policy making. Moreover, we will show two real-world cases applying this concept. Finally, we will share identified challenges to be addressed by the information visualization and visual analytics domains in the future.