scholarly journals Twelve Questions for the Participatory Modeling Community

2018 ◽  
Vol 6 (8) ◽  
pp. 1046-1057 ◽  
Author(s):  
Rebecca Jordan ◽  
Steven Gray ◽  
Moira Zellner ◽  
Pierre D. Glynn ◽  
Alexey Voinov ◽  
...  
Keyword(s):  
Participatory Modeling

Discussoo: Towards an intelligent tool for multi-scale participatory modeling

2021 ◽  
pp. 105044
Author(s):  
Madiha Anjum ◽  
Alexey Voinov ◽  
Firouzeh Taghikhah ◽  
Salvatore F. Pileggi
Keyword(s):  
Participatory Modeling ◽  
Multi Scale

Understanding Structural Factors and Actor Attributes That Impact the Development of Cohesion within a Participatory Modeling Process

2020 ◽  
Vol 48 (6) ◽  
pp. 577-600
Author(s):  
Taylor Goelz ◽  
Andrew Scheld ◽  
Troy Hartley ◽  
Inga Carboni
Keyword(s):  
Structural Factors ◽  
Participatory Modeling ◽  
Modeling Process

Exploring social-ecological dynamics of a coral reef resource system using participatory modeling and empirical data

Marine Policy ◽  
2017 ◽  
Vol 78 ◽  
pp. 90-97 ◽  
Author(s):  
Pierre Leenhardt ◽  
Vanessa Stelzenmüller ◽  
Nicolas Pascal ◽  
Wolfgang Nikolaus Probst ◽  
Annie Aubanel ◽  
...  
Keyword(s):  
Coral Reef ◽  
Empirical Data ◽  
Ecological Dynamics ◽  
Participatory Modeling ◽  
Social Ecological ◽  
Resource System

Participatory modeling of the food system: The case of community-based systems dynamics

2022 ◽  
pp. 257-283
Author(s):  
Alannah R. Glickman ◽  
Jill K. Clark ◽  
Darcy A. Freedman
Keyword(s):  
Food System ◽  
Systems Dynamics ◽  
Community Based ◽  
Participatory Modeling

scholarly journals Elevating local knowledge through participatory modeling: active community engagement in restoration planning in coastal Louisiana

2019 ◽  
Vol 22 (2) ◽  
pp. 241-266 ◽  
Author(s):  
Scott A. Hemmerling ◽  
Monica Barra ◽  
Harris C. Bienn ◽  
Melissa M. Baustian ◽  
Hoonshin Jung ◽  
...  
Keyword(s):  
Local Knowledge ◽  
Numerical Models ◽  
Coastal Protection ◽  
Ecological Knowledge ◽  
Knowledge Mapping ◽  
Community Members ◽  
Social Scientists ◽  
Participatory Modeling ◽  
Restoration Planning ◽  
Coastal Louisiana

Abstract Numerical modeling efforts in support of restoration and protection activities in coastal Louisiana have traditionally been conducted externally to any stakeholder engagement processes. This separation has resulted in planning- and project-level models built solely on technical observation and analysis of natural processes. Despite its scientific rigor, this process often fails to account for the knowledge, values, and experiences of local stakeholders that often contextualizes a modeled system. To bridge this gap, a team of natural and social scientists worked directly with local residents and resource users to develop a participatory modeling approach to collect and utilize local knowledge about the Breton Sound Estuary in southeast Louisiana, USA. Knowledge capture was facilitated through application of a local knowledge mapping methodology designed to catalog local understanding of current and historical conditions within the estuary and identify desired ecological and hydrologic end states. The results of the mapping endeavor informed modeling activities designed to assess the applicability of the identified restoration solutions. This effort was aimed at increasing stakeholder buy-in surrounding the utility of numerical models for planning and designing coastal protection and restoration projects and included an ancillary outcome aimed at elevating stakeholder empowerment regarding the design of nature-based restoration solutions and modeling scenarios. This intersection of traditional science and modeling activities with the collection and analysis of traditional ecological knowledge proved useful in elevating the confidence that community members had in modeled restoration outcomes.

scholarly journals A Comprehensive Process for Stakeholder Identification and Engagement in Addressing Wicked Water Resources Problems

Land ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 119 ◽  
Author(s):  
William L. Hargrove ◽  
Josiah M. Heyman
Keyword(s):  
Water Resources ◽  
Water Rights ◽  
Rio Grande ◽  
Research Projects ◽  
Research Project ◽  
Participatory Modeling ◽  
Rio Grande Basin ◽  
Competing Demands ◽  
The Future ◽  
The U.S

Various sectors of stakeholders (urban, agricultural, policymakers, etc.) are frequently engaged in participatory research projects aimed at improving water resources’ sustainability. However, a process for comprehensive and integrative identification, classification, and engagement of all types of water stakeholders for a region or river basin, especially in a transboundary context, is missing for water resources research projects. Our objective was to develop a systematic approach to identifying and classifying water stakeholders, and engage them in a discussion of water futures, as a foundation for a participatory modeling research project to address the wicked water resource problems of the Middle Rio Grande basin on the U.S./Mexico border. This part of the Rio Grande basin can be characterized as having limited and dwindling supplies of water, increasing demands for water from multiple sectors, and a segmented governance system spanning two U.S. states and two countries. These challenges are being exacerbated by climate change; a transitioning agriculture to more water demanding, high value crops; urbanization; and growing demand for environmental services. Moving forward, a core question for this region is how can water be managed so that the three competing sectors—agricultural, urban, and environmental—can realize a sustainable future in this challenged water system? We identified the major water-using sectors who represent competing demands as including agricultural, municipal, self-supplied industrial users, environmental, and a sector we labeled “social justice”, comprised of individuals who lack access to potable water, or who represent groups who advocate for access to water. We included stakeholders from both the U.S. and Mexico, which is seldom done, who share transboundary water resources in the region. We hosted a series of stakeholder dialogues and obtained results that identified and described their vision for the future of water; challenges to be overcome; and important research questions that could be addressed using participatory modeling approaches. Four broad themes common to multiple sectors emerged: (1) quantity, drought, and scarcity; (2) quality/salinization; (3) urbanization; and (4) conservation and sustainability. Each sector expressed distinctive views regarding the future of water. Agricultural stakeholders, in particular, had strong feelings of ownership of water rights as part of land ownership and a concomitant sense of threat to those water rights emanating from dwindling supplies and competing demands. The contribution of this work is a methodology for identifying, classifying, and engaging all types of stakeholders in the context of a research project, enabling us to compare and contrast views of different types of stakeholders. Heretofore, this has been accomplished in “bits and pieces”, but never comprehensively and holistically.

scholarly journals Participatory Modeling With QUICKScan to Shape Sustainable Urban Development

2020 ◽  
Vol 8 ◽  
Author(s):  
Peter Verweij ◽  
Anouk Cormont ◽  
Michiel van Eupen ◽  
Manuel Winograd ◽  
Jorgelina Hardoy
Keyword(s):  
Decision Maker ◽  
Spatial Data ◽  
Spatial Planning ◽  
Sustainable Urban Development ◽  
Institutional Setting ◽  
Local Data ◽  
Participatory Modeling ◽  
Planning Methods ◽  
Multi Stakeholder ◽  
The Right

Current spatial planning methods are often technocratic, slow, fail to use the right kind of evidence or do not involve (all) the actors needed to create support and consensus. We present a method that facilitates the use of evidence (data) in participatory spatial planning processes, resulting in a joint understanding of the most important causalities, as a means to build capacity across actors. QUICKScan is a participatory modeling method that links stakeholder- and decision maker knowledge and preferences to available spatial and spatio-statistical data, and is designed for group use in a multi-stakeholder workshop setting. We describe four urban QUICKScan applications, that vary in objective, scale and institutional setting. The most critical in organizing a QUICKScan session is to: (i) include crucial participants in a single plenary workshop (decision maker, local data expert, and local thematic experts), (ii) create an open atmosphere in which each and everyone's opinion is treated equally, (iii) dialogue is more important than an abundance of detailed spatial data, and (iv) start with simple modeling rules and iterate often while expanding the set of rules and trying out alternatives.

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