QUT ePrints

Elicitator : a user-friendly, interactive tool to support scenario-based elicitation of expert knowledge

Low Choy, Samantha, James, Allan, Murray, Justine , & Mengersen, Kerrie (2011) Elicitator : a user-friendly, interactive tool to support scenario-based elicitation of expert knowledge. In Ajith, H., Perera, C., Drew, A., & Johnson, C.J. (Eds.) Expert Knowledge and Its Application in Landscape Ecology. Springer, New York, pp. 39-67.

View at publisher

Abstract

Expert elicitation is the process of determining what expert knowledge is relevant to support a quantitative analysis and then eliciting this information in a form that supports analysis or decision-making. The credibility of the overall analysis, therefore, relies on the credibility of the elicited knowledge. This, in turn, is determined by the rigor of the design and execution of the elicitation methodology, as well as by its clear communication to ensure transparency and repeatability. It is difficult to establish rigor when the elicitation methods are not documented, as often occurs in ecological research. In this chapter, we describe software that can be combined with a well-structured elicitation process to improve the rigor of expert elicitation and documentation of the results

Impact and interest:

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 43406
Item Type: Book Chapter
Keywords: elicitation, expert, ecology, knowledge, statistics
DOI: 10.1007/978-1-4614-1034-8_3
ISBN: 9781461410331
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400) > Applied Statistics (010401)
Australian and New Zealand Standard Research Classification > ENVIRONMENTAL SCIENCES (050000) > ECOLOGICAL APPLICATIONS (050100) > Landscape Ecology (050104)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300) > Computer Software not elsewhere classified (080399)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Research Centres > High Performance Computing and Research Support
Past > Schools > Mathematical Sciences
Deposited On: 21 Feb 2012 08:40
Last Modified: 03 Sep 2012 08:58

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page