Kohlhammer, Jörn ; Nazemi, Kawa ; Ruppert, Tobias ; Burkhardt, Dirk (2012)
Toward Visualization in Policy Modeling.
In: IEEE Computer Graphics and Applications, 32 (5)
doi: 10.1109/MCG.2012.107
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Information visualization and visual analytics have become widely recognized research fields applied to a variety of domains and data-related challenges. This development's main driver has been the rapidly increasing amount of data that must be dealt with daily. At the same time, citizens, shareholders, and customers expect highly efficient, informed decision-making based on increasingly complex, dynamic, and interdependent data and information. All this applies in many ways to public-policy modeling. As the recent financial crisis has shown, policy making and regulation are highly challenging tasks. The outcomes of policy choices and individual behavior aren't easily predictable in our complex society. Ubiquitous computing, crowd sourcing, and open data, to name just a few examples, are creating masses of data that governments struggle to make sense of for policy modeling. Increasingly, policy makers are perceiving visualization and data analysis as critical to this sense-making process. This article examines the current and future roles of information visualization, semantics visualization, and VA in policy modeling.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2012 |
| Autor(en): | Kohlhammer, Jörn ; Nazemi, Kawa ; Ruppert, Tobias ; Burkhardt, Dirk |
| Art des Eintrags: | Bibliographie |
| Titel: | Toward Visualization in Policy Modeling |
| Sprache: | Englisch |
| Publikationsjahr: | 2012 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | IEEE Computer Graphics and Applications |
| Jahrgang/Volume einer Zeitschrift: | 32 |
| (Heft-)Nummer: | 5 |
| DOI: | 10.1109/MCG.2012.107 |
| Kurzbeschreibung (Abstract): | Information visualization and visual analytics have become widely recognized research fields applied to a variety of domains and data-related challenges. This development's main driver has been the rapidly increasing amount of data that must be dealt with daily. At the same time, citizens, shareholders, and customers expect highly efficient, informed decision-making based on increasingly complex, dynamic, and interdependent data and information. All this applies in many ways to public-policy modeling. As the recent financial crisis has shown, policy making and regulation are highly challenging tasks. The outcomes of policy choices and individual behavior aren't easily predictable in our complex society. Ubiquitous computing, crowd sourcing, and open data, to name just a few examples, are creating masses of data that governments struggle to make sense of for policy modeling. Increasingly, policy makers are perceiving visualization and data analysis as critical to this sense-making process. This article examines the current and future roles of information visualization, semantics visualization, and VA in policy modeling. |
| Freie Schlagworte: | Business Field: Visual decision support, Research Area: Generalized digital documents, Policy modeling, Information visualization, Visual analytics, Semantics visualization |
| 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 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum