Publikation: Information visualisation and visual analytics for governance and policy modelling
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2010
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Open Access-Veröffentlichung
Open Access Green
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Sonstiges, textgebunden (z.B. Gutachten, Blogbeiträge)
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Published
Erschienen in
Contribution to:Future research on ICT for governance and policy modelling (CROSSROAD-a participative roadmap for ICT research in electronic governance and policy modelling)
Zusammenfassung
Professionals involved in governance and policy modelling have seen a dramatic increase in the volume of potentially relevant data. As in many other knowledge-based fields today, policy makers face the problem of an information overload. Putting data from sources as diverse as blogs, online opinion polls and government reports to effective use is a task which requires new tools for their analysis and visualisation. In this paper, we introduce the research field known as Visual Analytics and we argue that it can help policy makers integrate large amounts of heterogeneous data into their decisionmaking processes. In so doing, Visual Analytics has the potential to increase not only the relevance, but also the legitimacy of policy decisions. In addition, policy modelling could provide the Visual Analytics community with new research challenges.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Information visualisation, Visual analytics, Policy modelling
Konferenz
Rezension
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Zitieren
ISO 690
KOHLHAMMER, Jörn, Tobias RUPPERT, James DAVEY, Florian MANSMANN, Daniel A. KEIM, 2010. Information visualisation and visual analytics for governance and policy modelling. In: Contribution to:Future research on ICT for governance and policy modelling (CROSSROAD-a participative roadmap for ICT research in electronic governance and policy modelling)BibTex
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<dcterms:abstract xml:lang="eng">Professionals involved in governance and policy modelling have seen a dramatic increase in the volume of potentially relevant data. As in many other knowledge-based fields today, policy makers face the problem of an information overload. Putting data from sources as diverse as blogs, online opinion polls and government reports to effective use is a task which requires new tools for their analysis and visualisation. In this paper, we introduce the research field known as Visual Analytics and we argue that it can help policy makers integrate large amounts of heterogeneous data into their decisionmaking processes. In so doing, Visual Analytics has the potential to increase not only the relevance, but also the legitimacy of policy decisions. In addition, policy modelling could provide the Visual Analytics community with new research challenges.</dcterms:abstract>
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