From Ill-Defined Problems to Informed Decisions

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ROBERTS, Jonathan, Daniel KEIM, Timothy HANRATTY, Robert RWOLINGSON, Rick WALKER, Mark HALL, Zack JACKOBSON, Valerie LAVIGNE, Chris ROONEY, Margaret VARGA, 2014. From Ill-Defined Problems to Informed Decisions. EuroVis 2014 : the Eurographics Conference on Visualization. Swansea, UK, 9. Jun 2014 - 13. Jun 2014. In: MARGIT POHL ..., , ed.. EuroVis 2014 : the Eurographics Conference on Visualization ; 9-13 June 2014, Swansea, Wales, UK ; EuroVA 2014, the EuroVis Workshop on Visual Analytics. EuroVis 2014 : the Eurographics Conference on Visualization. Swansea, UK, 9. Jun 2014 - 13. Jun 2014. Eurographics Association, pp. 7-11. ISBN 978-3-905674-68-2

@inproceedings{Roberts2014Ill-D-30002, title={From Ill-Defined Problems to Informed Decisions}, year={2014}, doi={10.2312/eurova.20141138}, isbn={978-3-905674-68-2}, publisher={Eurographics Association}, booktitle={EuroVis 2014 : the Eurographics Conference on Visualization ; 9-13 June 2014, Swansea, Wales, UK ; EuroVA 2014, the EuroVis Workshop on Visual Analytics}, pages={7--11}, editor={Margit Pohl ...}, author={Roberts, Jonathan and Keim, Daniel and Hanratty, Timothy and Rwolingson, Robert and Walker, Rick and Hall, Mark and Jackobson, Zack and Lavigne, Valerie and Rooney, Chris and Varga, Margaret} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/30002"> <dc:contributor>Walker, Rick</dc:contributor> <dc:contributor>Rwolingson, Robert</dc:contributor> <dc:creator>Rwolingson, Robert</dc:creator> <dcterms:title>From Ill-Defined Problems to Informed Decisions</dcterms:title> <dc:creator>Lavigne, Valerie</dc:creator> <dc:contributor>Roberts, Jonathan</dc:contributor> <dc:creator>Rooney, Chris</dc:creator> <dc:contributor>Hanratty, Timothy</dc:contributor> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/30002"/> <dc:contributor>Keim, Daniel</dc:contributor> <dc:creator>Varga, Margaret</dc:creator> <dcterms:issued>2014</dcterms:issued> <dcterms:abstract xml:lang="eng">Decision makers such as military leaders and security analysts are increasingly being asked to make decisions on ill-defined problems. These problems may contain uncertain or incomplete data, and are often complex to piece together. Consequently, decision makers rely heavily on intuition, knowledge and experience. We argue for rich narratives that encapsulate both explicit data and implicit knowledge, supported by three levels of provenance: data, analytical and reasoning. Our hypotheses is that visual analytics tools and methods can help to provide a valuable means to make sense of these complex data, and to help make this tacit knowledge explicit, to support the construction and presentation of the decision.</dcterms:abstract> <dc:creator>Hanratty, Timothy</dc:creator> <dc:contributor>Rooney, Chris</dc:contributor> <dc:creator>Hall, Mark</dc:creator> <dc:creator>Jackobson, Zack</dc:creator> <dc:language>eng</dc:language> <dc:contributor>Varga, Margaret</dc:contributor> <dc:creator>Roberts, Jonathan</dc:creator> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-02-24T13:09:15Z</dcterms:available> <dc:contributor>Jackobson, Zack</dc:contributor> <dc:creator>Walker, Rick</dc:creator> <dc:contributor>Lavigne, Valerie</dc:contributor> <dc:contributor>Hall, Mark</dc:contributor> <dc:creator>Keim, Daniel</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-02-24T13:09:15Z</dc:date> </rdf:Description> </rdf:RDF>

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