Cargando…

Eliciting improved quantitative judgements using the IDEA protocol: A case study in natural resource management

INTRODUCTION: Natural resource management uses expert judgement to estimate facts that inform important decisions. Unfortunately, expert judgement is often derived by informal and largely untested protocols, despite evidence that the quality of judgements can be improved with structured approaches....

Descripción completa

Detalles Bibliográficos
Autores principales: Hemming, Victoria, Walshe, Terry V., Hanea, Anca M., Fidler, Fiona, Burgman, Mark A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6014637/
https://www.ncbi.nlm.nih.gov/pubmed/29933407
http://dx.doi.org/10.1371/journal.pone.0198468
_version_ 1783334262819258368
author Hemming, Victoria
Walshe, Terry V.
Hanea, Anca M.
Fidler, Fiona
Burgman, Mark A.
author_facet Hemming, Victoria
Walshe, Terry V.
Hanea, Anca M.
Fidler, Fiona
Burgman, Mark A.
author_sort Hemming, Victoria
collection PubMed
description INTRODUCTION: Natural resource management uses expert judgement to estimate facts that inform important decisions. Unfortunately, expert judgement is often derived by informal and largely untested protocols, despite evidence that the quality of judgements can be improved with structured approaches. We attribute the lack of uptake of structured protocols to the dearth of illustrative examples that demonstrate how they can be applied within pressing time and resource constraints, while also improving judgements. AIMS AND METHODS: In this paper, we demonstrate how the IDEA protocol for structured expert elicitation may be deployed to overcome operational challenges while improving the quality of judgements. The protocol was applied to the estimation of 14 future abiotic and biotic events on the Great Barrier Reef, Australia. Seventy-six participants with varying levels of expertise related to the Great Barrier Reef were recruited and allocated randomly to eight groups. Each participant provided their judgements using the four-step question format of the IDEA protocol (‘Investigate’, ‘Discuss’, ‘Estimate’, ‘Aggregate’) through remote elicitation. When the events were realised, the participant judgements were scored in terms of accuracy, calibration and informativeness. RESULTS AND CONCLUSIONS: The results demonstrate that the IDEA protocol provides a practical, cost-effective, and repeatable approach to the elicitation of quantitative estimates and uncertainty via remote elicitation. We emphasise that i) the aggregation of diverse individual judgements into pooled group judgments almost always outperformed individuals, and ii) use of a modified Delphi approach helped to remove linguistic ambiguity, and further improved individual and group judgements. Importantly, the protocol encourages review, critical appraisal and replication, each of which is required if judgements are to be used in place of data in a scientific context. The results add to the growing body of literature that demonstrates the merit of using structured elicitation protocols. We urge decision-makers and analysts to use insights and examples to improve the evidence base of expert judgement in natural resource management.
format Online
Article
Text
id pubmed-6014637
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-60146372018-07-06 Eliciting improved quantitative judgements using the IDEA protocol: A case study in natural resource management Hemming, Victoria Walshe, Terry V. Hanea, Anca M. Fidler, Fiona Burgman, Mark A. PLoS One Research Article INTRODUCTION: Natural resource management uses expert judgement to estimate facts that inform important decisions. Unfortunately, expert judgement is often derived by informal and largely untested protocols, despite evidence that the quality of judgements can be improved with structured approaches. We attribute the lack of uptake of structured protocols to the dearth of illustrative examples that demonstrate how they can be applied within pressing time and resource constraints, while also improving judgements. AIMS AND METHODS: In this paper, we demonstrate how the IDEA protocol for structured expert elicitation may be deployed to overcome operational challenges while improving the quality of judgements. The protocol was applied to the estimation of 14 future abiotic and biotic events on the Great Barrier Reef, Australia. Seventy-six participants with varying levels of expertise related to the Great Barrier Reef were recruited and allocated randomly to eight groups. Each participant provided their judgements using the four-step question format of the IDEA protocol (‘Investigate’, ‘Discuss’, ‘Estimate’, ‘Aggregate’) through remote elicitation. When the events were realised, the participant judgements were scored in terms of accuracy, calibration and informativeness. RESULTS AND CONCLUSIONS: The results demonstrate that the IDEA protocol provides a practical, cost-effective, and repeatable approach to the elicitation of quantitative estimates and uncertainty via remote elicitation. We emphasise that i) the aggregation of diverse individual judgements into pooled group judgments almost always outperformed individuals, and ii) use of a modified Delphi approach helped to remove linguistic ambiguity, and further improved individual and group judgements. Importantly, the protocol encourages review, critical appraisal and replication, each of which is required if judgements are to be used in place of data in a scientific context. The results add to the growing body of literature that demonstrates the merit of using structured elicitation protocols. We urge decision-makers and analysts to use insights and examples to improve the evidence base of expert judgement in natural resource management. Public Library of Science 2018-06-22 /pmc/articles/PMC6014637/ /pubmed/29933407 http://dx.doi.org/10.1371/journal.pone.0198468 Text en © 2018 Hemming et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hemming, Victoria
Walshe, Terry V.
Hanea, Anca M.
Fidler, Fiona
Burgman, Mark A.
Eliciting improved quantitative judgements using the IDEA protocol: A case study in natural resource management
title Eliciting improved quantitative judgements using the IDEA protocol: A case study in natural resource management
title_full Eliciting improved quantitative judgements using the IDEA protocol: A case study in natural resource management
title_fullStr Eliciting improved quantitative judgements using the IDEA protocol: A case study in natural resource management
title_full_unstemmed Eliciting improved quantitative judgements using the IDEA protocol: A case study in natural resource management
title_short Eliciting improved quantitative judgements using the IDEA protocol: A case study in natural resource management
title_sort eliciting improved quantitative judgements using the idea protocol: a case study in natural resource management
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6014637/
https://www.ncbi.nlm.nih.gov/pubmed/29933407
http://dx.doi.org/10.1371/journal.pone.0198468
work_keys_str_mv AT hemmingvictoria elicitingimprovedquantitativejudgementsusingtheideaprotocolacasestudyinnaturalresourcemanagement
AT walsheterryv elicitingimprovedquantitativejudgementsusingtheideaprotocolacasestudyinnaturalresourcemanagement
AT haneaancam elicitingimprovedquantitativejudgementsusingtheideaprotocolacasestudyinnaturalresourcemanagement
AT fidlerfiona elicitingimprovedquantitativejudgementsusingtheideaprotocolacasestudyinnaturalresourcemanagement
AT burgmanmarka elicitingimprovedquantitativejudgementsusingtheideaprotocolacasestudyinnaturalresourcemanagement