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 accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Ladder Of Citizen Participation
Arnstein, S. R. (1969) · Journal of the American Institute of Planners · doi:10.1080/01944366908977225 · Cited by 17,064
The structure of ill structured problems
Simon, H. A. (1973) · Artificial Intelligence · doi:10.1016/0004-3702(73)90011-8 · Cited by 2,600
The origins and practice of participatory rural appraisal
Chambers, R. (1994) · World Development · doi:10.1016/0305-750x(94)90141-4 · Cited by 2,524
Risk and Culture: An Essay on the Selection of Technological and Environmental Dangers.
Kingston, P. W., Douglas, M., & Wildavsky, A. (1983) · Contemporary Sociology · doi:10.2307/2067477 · Cited by 2,274
Voinov, A., & Bousquet, F. (2010) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2010.03.007 · Cited by 1,354 · cited 11×
“Many participatory modelling approaches do not have a single purpose, but rather a combination of rationales (Voinov and Bousquet, 2010).”
BackgroundInfluentialSocial Learning and Water Resources Management
Pahl-Wostl, C., Craps, M., Dewulf, A., Mostert, E., Tabara, D., & Taillieu, T. (2007) · Ecology and Society · doi:10.5751/es-02037-120205 · Cited by 1,314
Group Model Building: Facilitating Team Learning Using System Dynamics
Peck, S. (1998) · Journal of the Operational Research Society · doi:10.1057/palgrave.jors.2600567 · Cited by 1,048
Mental Models: An Interdisciplinary Synthesis of Theory and Methods
Jones, N. A., Ross, H., Lynam, T., Perez, P., & Leitch, A. (2011) · Ecology and Society · doi:10.5751/es-03802-160146 · Cited by 992
Abelson, J., Forest, P.-G., Eyles, J., Smith, P., Martin, E., & Gauvin, F.-P. (2003) · Social Science & Medicine · doi:10.1016/s0277-9536(02)00343-x · Cited by 982
Water Resources Systems Planning and Management
(2003) · Developments in water science · doi:10.1016/s0167-5648(03)x8034-x · Cited by 909
Cited by
Tools and methods in participatory modeling: Selecting the right tool for the job
Voinov, A., Jenni, K., Gray, S., Kolagani, N., Glynn, P. D., Bommel, P., Prell, C., Zellner, M., Paolisso, M., Jordan, R., et al. (2018) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2018.08.028 · Cited by 428
Self-citationFlood Risk in Urban Areas: Modelling, Management and Adaptation to Climate Change. A Review
Cea, L., & Costabile, P. (2022) · Hydrology · doi:10.3390/hydrology9030050 · Cited by 317
Newig, J., Jahn, S., Lang, D. J., Kahle, J., & Bergmann, M. (2019) · Environmental Science & Policy · doi:10.1016/j.envsci.2019.08.008 · Cited by 125
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)
- OpenAlex
- W2586394092
- Cited by
- 295
- References
- 69
- FWCI
- 24.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Collaborative modelling or participatory modelling? A framework for water resources management. https://app.cochat.ai/papers/10.1016/j.envsoft.2017.01.014
- The paper
- Basco-Carrera, L., Warren, A., van Beek, E., Jonoski, A., & Giardino, A. (2017). Collaborative modelling or participatory modelling? A framework for water resources management. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2017.01.014
Data sources
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.
