From Ill-defined Problems to Informed Decisions

Abstract
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.
Description

        
@inproceedings{
:10.2312/eurova.20141138
, booktitle = {
EuroVis Workshop on Visual Analytics
}, editor = {
M. Pohl and J. Roberts
}, title = {{
From Ill-defined Problems to Informed Decisions
}}, author = {
Roberts, Jonathan
and
Keim, Daniel
and
Hanratty, Timothy
and
Rowlingson, Robert
and
Walker, Rick
and
Hall, Mark
and
Jackobson, Zack
and
Lavigne, Valerie
and
Rooney, Chris
and
Varga, Margaret
}, year = {
2014
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-905674-68-2
}, DOI = {
/10.2312/eurova.20141138
} }
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