Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 505390
Title A checklist for model credibility, salience, and legitimacy to improve information transfer in environmental policy assessments
Author(s) Voorn, G.A.K. van; Verburg, R.W.; Kunseler, E.M.; Vader, J.; Janssen, P.H.M.
Source Environmental Modelling & Software 83 (2016). - ISSN 1364-8152 - p. 224 - 236.
DOI http://dx.doi.org/10.1016/j.envsoft.2016.06.003
Department(s) Biometris (PPO/PRI)
PE&RC
LEI Green Economy and Landuse
Publication type Refereed Article in a scientific journal
Publication year 2016
Keyword(s) Environmental assessment - Model quality - Stakeholder expectations
Abstract

Modelers involved in environmental policy assessments are commonly confronted with the lack of uptake of model output by policy actors. Actors have different expectations of models, condensed into three quality criteria: credibility, salience, and legitimacy. The fulfilment of quality criteria is also dynamic as expectations vary, change, and possibly counteract each other. We present a checklist for modelers involved in model-based assessments that is aimed at the identification and monitoring of issues, limitations and trade-offs regarding model quality criteria. It draws upon the literature of integrated assessments as well as case study analysis of environmental policy assessments for the Dutch government, based on expert interviews and embedded experience. The checklist is intended to be consulted during assessments; its application may result in greater awareness among modelers involved in assessments regarding model quality criteria, and may positively affect the uptake of model-based knowledge from environmental policy assessments by policy actors.

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