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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/3985

Title: Computer models as social learning tools in participatory integrated assessment
Authors: De Kraker, Joop
Kroeze, Carolien
Kirschner, Paul A.
Keywords: computer models
participatory integrated assessment
participatory modelling
social learning
Issue Date: 28-Dec-2011
Abstract: Participatory integrated assessment (PIA) is a structured process conducted with stakeholders to assess the environmental, economic and social dimensions of a complex issue and the impacts of policy choices. PIA may result in social learning – a convergence in the stakeholders’ perspectives on the problem and its solutions – which creates a basis for more sustainable, collective action. This paper addresses the role of computer models used in integrated assessment in supporting social learning and discusses a selection of model-based PIA projects. We argue that models may play two important roles. First, with models the consequences of options can be explored turning the PIA process into an experiential learning cycle for the stakeholders. Second, models provide a platform and structure for stakeholders to communicate, negotiate and integrate their perspectives. However, in many PIA projects, computer models fail to play a significant supporting role in social learning. Experiences with other participatory modelling approaches indicate that a higher degree of stakeholder involvement in model development can increase the effectiveness of models as social tools. This, however, is time- and resource-intensive and difficult to scale up but insights from collaborative learning science and technology may help to enhance the effectiveness and efficiency of PIA model in supporting social learning.
Description: De Kraker, J., Kroeze, C., & Kirschner, P. A. (2011). Computer models as social learning tools in participatory integrated assessment. International Journal of Agricultural Sustainability, 9, 297-309. doi:10.1080/14735903.2011.582356
URI: http://hdl.handle.net/1820/3985
Appears in Collections:1. LC: Publications and Preprints

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