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Cited by 295

The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.

Collaborative modelling or participatory modelling? A framework for water resources management

Open access
Basco-Carrera, Laura, Warren, Andrew, van Beek, Eelco, Jonoski, Andreja, Giardino, Alessio·2017·Environmental Modelling & Software
DOI 10.1016/j.envsoft.2017.01.014
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Abstract

Decision Support Systems, and, more recently, participatory and collaborative modelling have emerged as a response to increased focus on stakeholder participation in modelling activities for certain fields like water resources management. Researchers and practitioners frequently use ‘buzzwords’ such as ‘participatory modelling’ and ‘collaborative modelling’. In some cases, both terms are used interchangeably, largely due to unclear distinction between them in literature. This article draws the line between participatory and collaborative modelling by using levels of participation and cooperation as conditioning dimensions. Based on this methodology, a new generic framework is presented. This framework can help identify determinant features of both modelling approaches currently used in water resources management. It permits analysis of these approaches in terms of context, specific use, information handling, stakeholder involvement, modelling team and means. The article concludes with an application of the framework to a collaborative modelling approach carried out for a groundwater study in the Netherlands.

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Metadata

Authors
Basco-Carrera, L., Warren, A., van Beek, E., Jonoski, A., & Giardino, A.
Venue
Environmental Modelling & Software
Publisher
Elsevier BV
Published
2017-05
Volume
91
Pages
95-110
ISSN
1364-8152 (ISSN-L)
DOI
10.1016/j.envsoft.2017.01.014
OpenAlex
W2586394092
Cited by
295
References
69
FWCI
24.61
Type
journal article
Language
en
Open access
hybrid

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.