Information visualisation and visual analytics for governance and policy modelling

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dc.contributor.authorKohlhammer, Jörndeu
dc.contributor.authorRuppert, Tobiasdeu
dc.contributor.authorDavey, Jamesdeu
dc.contributor.authorMansmann, Florian
dc.contributor.authorKeim, Daniel A.
dc.date.accessioned2011-10-15T12:26:31Zdeu
dc.date.available2011-10-15T12:26:31Zdeu
dc.date.issued2010deu
dc.description.abstractProfessionals 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.eng
dc.description.versionpublished
dc.identifier.citationContribution to: Future research on ICT for governance and policy modelling (CROSSROAD - a participative roadmap for ICT research in electronic governance and policy modelling) ; 2010deu
dc.identifier.ppn353268178deu
dc.identifier.urihttp://kops.uni-konstanz.de/handle/123456789/13654
dc.language.isoengdeu
dc.legacy.dateIssued2011-10-15deu
dc.rightsterms-of-usedeu
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/deu
dc.subjectInformation visualisationdeu
dc.subjectVisual analyticsdeu
dc.subjectPolicy modellingdeu
dc.subject.ddc004deu
dc.titleInformation visualisation and visual analytics for governance and policy modellingeng
dc.typeOTHER_TEXTdeu
dspace.entity.typePublication
kops.citation.bibtex
@misc{Kohlhammer2010Infor-13654,
  year={2010},
  title={Information visualisation and visual analytics for governance and policy modelling},
  author={Kohlhammer, Jörn and Ruppert, Tobias and Davey, James and Mansmann, Florian and Keim, Daniel A.}
}
kops.citation.iso690KOHLHAMMER, 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)deu
kops.citation.iso690KOHLHAMMER, 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)eng
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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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kops.submitter.emailmichael.ketzer@uni-konstanz.dedeu
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source.titleContribution to:Future research on ICT for governance and policy modelling (CROSSROAD-a participative roadmap for ICT research in electronic governance and policy modelling)

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