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Towards a Tighter Coupling of Visualization and Public Policy Making

Ruppert, Tobias and Bernard, Jürgen and Lücke-Tieke, Hendrik and Kohlhammer, Jörn (2014):
Towards a Tighter Coupling of Visualization and Public Policy Making.
IEEE Computer Society, Los Alamitos, Calif., In: IEEE Conference on Visual Analytics Science and Technology. Proceedings, DOI: 10.1109/VAST.2014.7042525,
[Conference or Workshop Item]

Abstract

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.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Ruppert, Tobias and Bernard, Jürgen and Lücke-Tieke, Hendrik and Kohlhammer, Jörn
Title: Towards a Tighter Coupling of Visualization and Public Policy Making
Language: English
Abstract:

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.

Publisher: IEEE Computer Society, Los Alamitos, Calif.
Uncontrolled Keywords: Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Visual analytics, Information visualization, Similarity measures, Similarity metrics, Similarity search
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: IEEE Conference on Visual Analytics Science and Technology. Proceedings
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1109/VAST.2014.7042525
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