Ruppert, Tobias ; Bernard, Jürgen ; Lücke-Tieke, Hendrik ; Kohlhammer, Jörn (2014)
Towards a Tighter Coupling of Visualization and Public Policy Making.
IEEE Conference on Visual Analytics Science and Technology. Proceedings.
doi: 10.1109/VAST.2014.7042525
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
Typ des Eintrags: | Konferenzveröffentlichung |
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Erschienen: | 2014 |
Autor(en): | Ruppert, Tobias ; Bernard, Jürgen ; Lücke-Tieke, Hendrik ; Kohlhammer, Jörn |
Art des Eintrags: | Bibliographie |
Titel: | Towards a Tighter Coupling of Visualization and Public Policy Making |
Sprache: | Englisch |
Publikationsjahr: | 2014 |
Verlag: | IEEE Computer Society, Los Alamitos, Calif. |
Veranstaltungstitel: | IEEE Conference on Visual Analytics Science and Technology. Proceedings |
DOI: | 10.1109/VAST.2014.7042525 |
Kurzbeschreibung (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. |
Freie Schlagworte: | Business Field: Visual decision support, Research Area: Human computer interaction (HCI), Visual analytics, Information visualization, Similarity measures, Similarity metrics, Similarity search |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
Hinterlegungsdatum: | 12 Nov 2018 11:16 |
Letzte Änderung: | 12 Nov 2018 11:16 |
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