A functional-dynamic reflection on participatory processes in modeling projects

Seidl, Roman

doi:10.1007/s13280-015-0670-8

Cited by 44 publications

(56 citation statements)

References 114 publications

(122 reference statements)

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“…To address these issues, we propose the 4P framework to help design and assess all cases of PM building on recent frameworks identified in the literature that integrate the costs, benefits, and practice of participatory processes (Stern and Dietz , Seidl ), reviews of tools and uses of PM (Voinov and Bousquet , Voinov et al. ) and recent comparative approaches to assessing the quality and processes associated with the variable application of PM (Hassenforder et al.…”

Section: P Framework For Participatory Modelingmentioning

confidence: 99%

Purpose, processes, partnerships, and products: four Ps to advance participatory socio‐environmental modeling

Gray

Voinov

Paolisso

et al. 2017

Ecological Applications

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Abstract. Including stakeholders in environmental model building and analysis is an increasingly popular approach to understanding ecological change. This is because stakeholders often hold valuable knowledge about socio-environmental dynamics and collaborative forms of modeling produce important boundary objects used to collectively reason about environmental problems. Although the number of participatory modeling (PM) case studies and the number of researchers adopting these approaches has grown in recent years, the lack of standardized reporting and limited reproducibility have prevented PM's establishment and advancement as a cohesive field of study. We suggest a four-dimensional framework (4P) that includes reporting on dimensions of (1) the Purpose for selecting a PM approach (the why); (2) the Process by which the public was involved in model building or evaluation (the how); (3) the Partnerships formed (the who); and (4) the Products that resulted from these efforts (the what). We highlight four case studies that use common PM software-based approaches (fuzzy cognitive mapping, agent-based modeling, system dynamics, and participatory geospatial modeling) to understand human-environment interactions and the consequences of ecological changes, including bushmeat hunting in Tanzania and Cameroon, agricultural production and deforestation in Zambia, and groundwater management in India. We demonstrate how standardizing communication about PM case studies can lead to innovation and new insights about model-based reasoning in support of ecological policy development. We suggest that our 4P framework and reporting approach provides a way for new hypotheses to be identified and tested in the growing field of PM.

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Section: P Framework For Participatory Modelingmentioning

confidence: 99%

Purpose, processes, partnerships, and products: four Ps to advance participatory socio‐environmental modeling

Gray

Voinov

Paolisso

et al. 2017

Ecological Applications

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“…Climate change may be accepted as a severe global threat but in most instances, is not perceived as an immediate regional one in the UDC. Moreover, the potential effects will not occur within a period of time tangible to a public who is more concerned with present issues (Seidl 2009). 2.…”

Section: Motivation Scope and Objectives Of This Articlementioning

confidence: 99%

Global change impacts on the Upper Danube Catchment (Central Europe): a study of participatory modeling

et al. 2015

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Participatory modeling (PM) has become an essential concept in environmental impact assessment and planning in the field of water resources. In this paper, we focus on the use of PM to support the development of the integrated regional modeling system DANUBIA as a scientific concept to analyze the previously unknown impacts of global change, i.e., the combined effects of climate, demographic, economic, social and ecological change, on the Upper Danube Catchment (Germany). We use this case study to examine the specific conditions for PM in the field of complex integrated models on a regional scale. We describe the stepwise PM process and discuss the respective results, focusing on (1) the stakeholder dialogue's contribution in supporting the development of new, complex modeling systems, particularly on a regional scale, (2) conditions of stakeholder involvement in issues related to the distant future, such as climate change impacts on regional water availability, and (3) limitations of PM and scientists' motivation to carry out participatory research at all. We conclude that the PM process was not entirely successful in improving the scientific quality and practical applicability of the developed models because the process goals were manifold and overambitious, and the definition of the problem of ''global change impacts on a regional scale'' was too weak and uncertain to allow for a clear common objective of modelers and stakeholders. We claim that there is a lack of incentives for scientists, particularly natural scientists, to commit to PM activities.

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“…The broader motivation for this work came from the need to articulate plateau-wide and regionspecific knowledge about potential future issues and drivers of change, in order to build consensus on important research directions and to inform ongoing policy discussions within China and Mongolia. Despite the growing number of examples of participatory modeling in the environmental sciences, a few authors have recently noted a lack of adequate reflection on the process (Seidl 2015, Elsawah et al 2017. Here, we report on a project where we combined participatory scenario planning and system dynamic modeling to produce transdisciplinary knowledge about the Mongolian Plateau system and build a shared understanding of this complex system.…”

mentioning

confidence: 99%

Combining participatory scenario planning and systems modeling to identify drivers of future sustainability on the Mongolian Plateau

Allington¹,

Fernández‐Giménez²,

Chen³

et al. 2018

E&S

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. 2018. Combining participatory scenario planning and systems modeling to identify drivers of future sustainability on the Mongolian Plateau. Ecology and Society 23 (2) ABSTRACT. The study of social-ecological systems (SES) is an inherently interdisciplinary endeavor that necessitates collaboration among multiple researchers and stakeholders. These collaborations often result in novel insights into the dynamics and feedbacks that occur within these systems. Achieving these insights requires methods and tools that integrate diverse knowledge from multiple disciplines and sectors of society to inform actionable research on complex systems. Past research has demonstrated the contributions that stakeholders can make to defining scenarios that are subsequently applied to quantitative modeling. Here, we focus on the feedback from quantitative modeling to refinement and interpretation of scenarios, and demonstrate how quantitative modeling can reveal aspects of system dynamics that were not considered during scenario development. We present a case study in which we use qualitative scenario planning as a tool to engender systems thinking by a diverse set of stakeholders in a complex transboundary SES: the Mongolian Plateau. This exercise demonstrated the value of participatory scenario planning as a tool for facilitating interdisciplinary and crosssectoral dialog and knowledge generation. It also ensured the integration of place-based knowledge into scenario development for subsequent quantitative modeling. In addition to incorporating stakeholder knowledge in simulation of complex human-environment dynamics, the quantitative modeling revealed how the dynamics of rural out-migration contribute to the decoupling of rural herder populations and livestock numbers. The emergent knowledge gained from this process underscores the utility of pairing the qualitative scenarios with quantitative simulations to reveal unanticipated system behavior and key drivers not identified or overlooked by stakeholders.

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A functional-dynamic reflection on participatory processes in modeling projects

Cited by 44 publications

References 114 publications

Purpose, processes, partnerships, and products: four Ps to advance participatory socio‐environmental modeling

Purpose, processes, partnerships, and products: four Ps to advance participatory socio‐environmental modeling

Global change impacts on the Upper Danube Catchment (Central Europe): a study of participatory modeling

Combining participatory scenario planning and systems modeling to identify drivers of future sustainability on the Mongolian Plateau

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