arrow
返回

A practical guide to structured expert elicitation using the IDEA protocol

delete2017-09-05
delete313
delete
OA
AI
V
Victoria Hemming *
M
Mark A. Burgman
A
Anca M. Hanea
M
Marissa F. McBride
B
Bonnie C. Wintle
DOI:10.1111/2041-210X.12857delete
delete原文链接
delete分享
delete收藏
查看原文
摘要

摘要

En 中文
Expert judgement informs a variety of important applications in conservation and natural resource management, including threatened species management, environmental impact assessment and structured decision-making. However, expert judgements can be prone to contextual biases. Structured elicitation protocols mitigate these biases, and improve the accuracy and transparency of the resulting judgements. Despite this, the elicitation of expert judgement within conservation and natural resource management remains largely informal. We suggest this may be attributed to financial and practical constraints, which are not addressed by many existing structured elicitation protocols. In this paper, we advocate that structured elicitation protocols must be adopted when expert judgements are used to inform science. In order to motivate a wider adoption of structured elicitation protocols, we outline the IDEA protocol. The protocol improves the accuracy of expert judgements and includes several key steps which may be familiar to many conservation researchers, such as the four-step elicitation, and a modified Delphi procedure (Investigate, Discuss, Estimate and Aggregate). It can also incorporate remote elicitation, making structured expert judgement accessible on a modest budget. The IDEA protocol has recently been outlined in the scientific literature; however, a detailed description has been missing. This paper fills that important gap by clearly outlining each of the steps required to prepare for and undertake an elicitation. While this paper focuses on the need for the IDEA protocol within conservation and natural resource management, the protocol (and the advice contained in this paper) is applicable to a broad range of scientific domains, as evidenced by its application to biosecurity, engineering and political forecasting. By clearly outlining the IDEA protocol, we hope that structured protocols will be more widely understood and adopted, resulting in improved judgements and increased transparency when expert judgement is required.
Keyword:
Delphi
expert elicitation
forecasting
four-step elicitation
IDEA protocol
quantitative estimates
structured expert judgement
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Methods in Ecology and Evolution 封面图
Methods in Ecology and Evolution
IF:
6.2
论文数:
2.9K
被引数:
2.9W

机构

H
Harvard University
学者数:
26.5W
论文数: 22.0W
被引数: 28.7W
I
Imperial College London
学者数:
8.3W
论文数: 7.3W
被引数: 11.1W
U
university of melbourne
学者数:
5.7W
论文数: 5.4W
被引数: 69
学者 查看更多机构
引用论文

引用论文

Impact of High-Cut-Off Dialysis on Renal Recovery in Dialysis-Dependent Multiple Myeloma Patients: Results from a Case-Control Study
err2016-05-06
err0
errOAAI
errHans U. Gerth; Michele Pohlen; Dennis Görlich; Gerold Thölking; Martin Kropff; Wolfgang E. Berdel; Hermann Pavenstädt; Marcus Brand; Philipp Kümpers
err分享
err收藏
The consistency of extinction risk classification protocols
err2005-12-01
err53
PREAI
errRegan, TJ; Burgman, MA; McCarthy, MA; Master, LL; Keith, DA; Mace, GM; Andelman, SJ
err分享
err收藏
InvestigateDiscussEstimateAggregate for structured expert judgement
err2017-01-01
err79
errOAAI
errHanea, A. M.; McBride, M. F.; Burgman, M. A.; Wintle, B. C.; Fidler, F.; Flander, L.; Twardy, C. R.; Manning, B.; Mascaro, S.
err分享
err收藏
In vivo tumor delivery of the green fluorescent protein gene to report future occurrence of metastasis
err2000-10-01
err0
errOAAI
errSatoshi Hasegawa; Meng Yang; Takashi Chishima; Yohei Miyagi; Hiroshi Shimada; A R Moossa; Robert M Hoffman
err分享
err收藏
Highly porous, ultra-low refractive index coatings produced through random packing of silicated cellulose nanocrystals
err2015-12-01
err0
PREAI
errPascal Buskens; Maurice Mourad; Nicole Meulendijks; Renz van Ee; Marieke Burghoorn; Marcel Verheijen; Emile van Veldhoven
err分享
err收藏
Eliciting Expert Knowledge in Conservation Science
err2012-01-26
err680
PREAI
errMartin, Tara G.; Burgman, Mark A.; Fidler, Fiona; Kuhnert, Petra M.; Low-Choy, Samantha; Mcbride, Marissa; Mengersen, Kerrie
err分享
err收藏
err分享
err收藏
学者 查看更多内容