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The role of expert opinion in environmental modelling

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The role of expert opinion in environmental modelling. / Krueger, Tobias; Page, Trevor; Hubacek, Klaus et al.
In: Environmental Modelling and Software, Vol. 36, 01.10.2012, p. 4-18.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Krueger, T, Page, T, Hubacek, K, Smith, L & Hiscock, K 2012, 'The role of expert opinion in environmental modelling', Environmental Modelling and Software, vol. 36, pp. 4-18. https://doi.org/10.1016/j.envsoft.2012.01.011

APA

Krueger, T., Page, T., Hubacek, K., Smith, L., & Hiscock, K. (2012). The role of expert opinion in environmental modelling. Environmental Modelling and Software, 36, 4-18. https://doi.org/10.1016/j.envsoft.2012.01.011

Vancouver

Krueger T, Page T, Hubacek K, Smith L, Hiscock K. The role of expert opinion in environmental modelling. Environmental Modelling and Software. 2012 Oct 1;36:4-18. Epub 2012 Feb 28. doi: 10.1016/j.envsoft.2012.01.011

Author

Krueger, Tobias ; Page, Trevor ; Hubacek, Klaus et al. / The role of expert opinion in environmental modelling. In: Environmental Modelling and Software. 2012 ; Vol. 36. pp. 4-18.

Bibtex

@article{e0ddabf525894ef2b365c7317eb1d490,
title = "The role of expert opinion in environmental modelling",
abstract = "The inevitable though frequently informal use of expert opinion in modelling, the increasing number of models that incorporate formally expert opinion from a diverse range of experience and stakeholders, arguments for participatory modelling and analytic-deliberative-adaptive approaches to managing complex environmental problems, and an expanding but uneven literature prompt this critical review and analysis. Aims are to propose common definitions, identify and categorise existing concepts and practice, and provide a frame of reference and guidance for future environmental modelling. The extensive literature review and classification conducted demonstrate that a broad and inclusive definition of experts and expert opinion is both required and part of current practice. Thus an expert can be anyone with relevant and extensive or in-depth experience in relation to a topic of interest. The literature review also exposes informal model assumptions and modeller subjectivity, examines in detail the formal uses of expert opinion and expert systems, and critically analyses the main concepts of, and issues arising in, expert elicitation and the modelling of associated uncertainty. It is noted that model scrutiny and use of expert opinion in modelling will benefit from formal, systematic and transparent procedures that include as wide a range of stakeholders as possible. Enhanced awareness and utilisation of expert opinion is required for modelling that meets the informational needs of deliberative fora. These conclusions in no way diminish the importance of conventional science and scientific opinion but recognise the need for a paradigmatic shift from traditional ideals of unbiased and impartial experts towards unbiased processes of expert contestation and a plurality of expertise and eventually models. Priority must be given to the quality of the enquiry for those responsible for environmental management and policy formulation, and this review emphasises the role for science to maintain and enhance the rigour and formality of the information that informs decision making.",
keywords = "Expert elicitation, Expert system, Participatory modelling, Stakeholder, Subjectivity, Uncertainty",
author = "Tobias Krueger and Trevor Page and Klaus Hubacek and Laurence Smith and Kevin Hiscock",
year = "2012",
month = oct,
day = "1",
doi = "10.1016/j.envsoft.2012.01.011",
language = "English",
volume = "36",
pages = "4--18",
journal = "Environmental Modelling and Software",
issn = "1364-8152",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - The role of expert opinion in environmental modelling

AU - Krueger, Tobias

AU - Page, Trevor

AU - Hubacek, Klaus

AU - Smith, Laurence

AU - Hiscock, Kevin

PY - 2012/10/1

Y1 - 2012/10/1

N2 - The inevitable though frequently informal use of expert opinion in modelling, the increasing number of models that incorporate formally expert opinion from a diverse range of experience and stakeholders, arguments for participatory modelling and analytic-deliberative-adaptive approaches to managing complex environmental problems, and an expanding but uneven literature prompt this critical review and analysis. Aims are to propose common definitions, identify and categorise existing concepts and practice, and provide a frame of reference and guidance for future environmental modelling. The extensive literature review and classification conducted demonstrate that a broad and inclusive definition of experts and expert opinion is both required and part of current practice. Thus an expert can be anyone with relevant and extensive or in-depth experience in relation to a topic of interest. The literature review also exposes informal model assumptions and modeller subjectivity, examines in detail the formal uses of expert opinion and expert systems, and critically analyses the main concepts of, and issues arising in, expert elicitation and the modelling of associated uncertainty. It is noted that model scrutiny and use of expert opinion in modelling will benefit from formal, systematic and transparent procedures that include as wide a range of stakeholders as possible. Enhanced awareness and utilisation of expert opinion is required for modelling that meets the informational needs of deliberative fora. These conclusions in no way diminish the importance of conventional science and scientific opinion but recognise the need for a paradigmatic shift from traditional ideals of unbiased and impartial experts towards unbiased processes of expert contestation and a plurality of expertise and eventually models. Priority must be given to the quality of the enquiry for those responsible for environmental management and policy formulation, and this review emphasises the role for science to maintain and enhance the rigour and formality of the information that informs decision making.

AB - The inevitable though frequently informal use of expert opinion in modelling, the increasing number of models that incorporate formally expert opinion from a diverse range of experience and stakeholders, arguments for participatory modelling and analytic-deliberative-adaptive approaches to managing complex environmental problems, and an expanding but uneven literature prompt this critical review and analysis. Aims are to propose common definitions, identify and categorise existing concepts and practice, and provide a frame of reference and guidance for future environmental modelling. The extensive literature review and classification conducted demonstrate that a broad and inclusive definition of experts and expert opinion is both required and part of current practice. Thus an expert can be anyone with relevant and extensive or in-depth experience in relation to a topic of interest. The literature review also exposes informal model assumptions and modeller subjectivity, examines in detail the formal uses of expert opinion and expert systems, and critically analyses the main concepts of, and issues arising in, expert elicitation and the modelling of associated uncertainty. It is noted that model scrutiny and use of expert opinion in modelling will benefit from formal, systematic and transparent procedures that include as wide a range of stakeholders as possible. Enhanced awareness and utilisation of expert opinion is required for modelling that meets the informational needs of deliberative fora. These conclusions in no way diminish the importance of conventional science and scientific opinion but recognise the need for a paradigmatic shift from traditional ideals of unbiased and impartial experts towards unbiased processes of expert contestation and a plurality of expertise and eventually models. Priority must be given to the quality of the enquiry for those responsible for environmental management and policy formulation, and this review emphasises the role for science to maintain and enhance the rigour and formality of the information that informs decision making.

KW - Expert elicitation

KW - Expert system

KW - Participatory modelling

KW - Stakeholder

KW - Subjectivity

KW - Uncertainty

U2 - 10.1016/j.envsoft.2012.01.011

DO - 10.1016/j.envsoft.2012.01.011

M3 - Journal article

AN - SCOPUS:84863393251

VL - 36

SP - 4

EP - 18

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

SN - 1364-8152

ER -