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Transparency and Reproducibility in Participatory Systems Modelling: the Case of Fuzzy Cognitive Mapping

dc.contributor.authorOlazabal, M.
dc.contributor.authorNeumann, M.B.
dc.contributor.authorFoudi, S.
dc.contributor.authorChiabai, A.
dc.date.accessioned2020-06-23T09:44:41Z
dc.date.available2020-06-23T09:44:41Z
dc.date.issued2018
dc.identifier.citationSystems Research And Behavioral Science 35(6) : 791-810 (2018)
dc.identifier.issn1092-7026
dc.identifier.urihttp://hdl.handle.net/10810/44143
dc.description.abstractBy aggregating semi-quantitative mind maps from multiple agents, fuzzy cognitive mapping (FCM) allows developing an integrated, cross-sectoral understanding of complex systems. However, and especially for FCM based on individual interviews, the map-building process presents potential pitfalls. These are mainly related to the different understandings of the interviewees about the FCM semantics as well as the biases of the analyst during the elicitation and treatment of data. This paper introduces a set of good practice measures to increase transparency and reproducibility of map-building processes in order to improve credibility of results from FCM applications. The case study used to illustrate the proposed good practices assesses heatwave impacts and adaptation options in an urban environment. Agents from different urban sectors were interviewed to obtain individual cognitive maps. Using this set of data, we suggest good practices to collect, digitalize, interpret, pre-process and aggregate the individual maps in a traceable and coherent way. © 2018 The Authors Systems Research and Behavioral Science published by International Federation for Systems Research and John Wiley and Sons Ltd. © 2018 The Authors Systems Research and Behavioral Science published by International Federation for Systems Research and John Wiley and Sons Ltd
dc.description.sponsorshipThis study is part of the project Bottom-up Climate Adaptation Strategies for a Sustainable Europe (BASE) funded by the European Union’s Seventh Framework Programme for research, technological development and demonstration under Grant Agreement No. 308337. MO (FPDI-2013-16631 and IJCI-2016-28835) and MBN (RYC-2013-13628) acknowledge co-funding from the Spanish Ministry of Economy, Industry and Competitiveness (MINECO).
dc.language.isoeng
dc.publisherJohn Wiley and Sons
dc.relationinfo:eu-repo/grantAgreement/EC/FP7/308337
dc.relationinfo:eu-repo/grantAgreement/MINECO/FPDI-2013-16631
dc.relationinfo:eu-repo/grantAgreement/MINECO/RYC-2013-13628
dc.relation.urihttps://dx.doi.org/10.1002/sres.2519
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.titleTransparency and Reproducibility in Participatory Systems Modelling: the Case of Fuzzy Cognitive Mapping
dc.typeinfo:eu-repo/semantics/article
dc.rights.holder(c) 2018 The Authors Systems Research and Behavioral Science published by International Federation for Systems Research and John Wiley and Sons Ltd.
dc.identifier.doi10.1002/sres.2519
dc.contributor.funderEuropean Commission


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(c) 2018 The Authors Systems Research and Behavioral Science published by International Federation for Systems Research and John Wiley and Sons Ltd.
Except where otherwise noted, this item's license is described as (c) 2018 The Authors Systems Research and Behavioral Science published by International Federation for Systems Research and John Wiley and Sons Ltd.