How integrative modelling can break down disciplinary silos

dc.creatorKragt, Marit Ellen
dc.creatorRobson, Barbara J.
dc.creatorMacleod, Christopher J.A.
dc.date2017-04-01T13:52:57Z
dc.date.accessioned2026-07-09T05:38:41Z
dc.descriptionEffective management of environmental systems requires assessments of multiple (physical, ecological, and socio-economic) issues and integration of knowledge from various disciplinary experts. Integrative research faces widely acknowledged theoretical and practical challenges. In this paper, we argue that model development aimed at integrating multidisciplinary inputs can overcome many of these difficulties. Environmental models can act as a shared goal and provide a framework for successful integrative research. Modellers often have the more generalist background and overarching perspective required to develop a shared understanding of a system. Modellers are therefore well-placed to facilitate integrative processes. We discuss the challenges of integrative research and discuss how modellers, and model development, can facilitate successful integration through: definition of common research questions and objectives; conceptual modelling; identification of project participants; aligning terminologies; and stressing the importance of communication and trust
dc.identifierdoi:10.22004/ag.econ.108768
dc.identifierhttps://ageconsearch.umn.edu/record/108768/files/SARE_WP110021_Integrative%20modelling_revised%20page%201.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/108768
dc.identifier.urihttp://hdl.handle.net/123456789/566462
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/108768
dc.titleHow integrative modelling can break down disciplinary silos
dc.typeText

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