How planners and stakeholders learn with visualization tools: using learning sciences methods to examine planning processes

Radinsky, Josh; Milz, Dan; Zellner, Moira; Pudlock, Kelsey; Witek, C.; Hoch, Charles; Lyons, Leilah

doi:10.1080/09640568.2016.1221795

Cited by 34 publications

(29 citation statements)

References 42 publications

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“…, Radinsky et al. ). As the number of case study applications continues to grow, comprehensive reviews and post‐audits of how and when specific approaches or software tools are appropriate will be required if the field is expected to mature.…”

Section: Introductionmentioning

confidence: 99%

“…Recent reviews of modeling processes and tools have highlighted that community learning, by way of structured knowledge sharing, is the most significant benefit of including stakeholders in modeling (Voinov and Bousquet 2010). However, considerably less attention has been paid to how this structured learning is taken into account in terms of research or defining what decision-making outcomes should be expected (Zellner et al 2012, Radinsky et al 2016. As the number of case study applications continues to grow, comprehensive reviews and post-audits of how and when specific approaches or software tools are appropriate will be required if the field is expected to mature.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

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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show abstract

“…Rather, the social learning that model development and use supports, and the actions that learning informs are most important. PM efforts must be evaluated, both formatively and summatively, and results shared (Hoch et al, 2015;Milz et al, 2017;Radinsky et al, 2017). Also, it is critical that modelers participate in measuring and communicating how PM helped communities to make better decisions.…”

Section: Practice Bridgementioning

confidence: 99%

Try, try again: Lessons learned from success and failure in participatory modeling

Sterling

Zellner

Jenni

et al. 2019

Elementa: Science of the Anthropocene

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Participatory Modeling (PM) is becoming increasingly common in environmental planning and conservation, due in part to advances in cyberinfrastructure as well as to greater recognition of the importance of engaging a diverse array of stakeholders in decision making. We provide lessons learned, based on over 200 years of the authors’ cumulative and diverse experience, about PM processes. These include successful and, perhaps more importantly, not-so-successful trials. Our collective interdisciplinary background has supported the development, testing, and evaluation of a rich range of collaborative modeling approaches. We share here what we have learned as a community of participatory modelers, within three categories of reflection: a) lessons learned about participatory modelers; b) lessons learned about the context of collaboration; and c) lessons learned about the PM process. First, successful PM teams encompass a variety of skills beyond modeling expertise. Skills include: effective relationship-building, openness to learn from local experts, awareness of personal motivations and biases, and ability to translate discussions into models and to assess success. Second, the context for collaboration necessitates a culturally appropriate process for knowledge generation and use, for involvement of community co-leads, and for understanding group power dynamics that might influence how people from different backgrounds interact. Finally, knowing when to use PM and when not to, managing expectations, and effectively and equitably addressing conflicts is essential. Managing the participation process in PM is as important as managing the model building process. We recommend that PM teams consider what skills are present within a team, while ensuring inclusive creative space for collaborative exploration and learning supported by simple yet relevant models. With a realistic view of what it entails, PM can be a powerful approach that builds collective knowledge and social capital, thus helping communities to take charge of their future and address complex social and environmental problems.

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“…A number of PM studies have attempted to assess the learning that took place throughout the modeling process using surveys, interviews, discourse analysis, and mental model elicitation (Jones et al, 2009;Radinsky et al, 2016). A number of PM studies have attempted to assess the learning that took place throughout the modeling process using surveys, interviews, discourse analysis, and mental model elicitation (Jones et al, 2009;Radinsky et al, 2016).…”

Section: Learningmentioning

confidence: 99%

“…Learning is an essential outcome of PM exercises. A number of PM studies have attempted to assess the learning that took place throughout the modeling process using surveys, interviews, discourse analysis, and mental model elicitation (Jones et al, 2009;Radinsky et al, 2016). However, tracking learning over the long-term postmodeling process is extraordinarily difficult because of the many confounding factors that affect the ways in which participants conceptualize and reason about a problem.…”

Section: Learningmentioning

confidence: 99%

Twelve Questions for the Participatory Modeling Community

et al. 2018

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Participatory modeling engages the implicit and explicit knowledge of stakeholders to create formalized and shared representations of reality and has evolved into a field of study as well as a practice. Participatory modeling researchers and practitioners who focus specifically on environmental resources met at the National Socio-Environmental Synthesis Center (SESYNC) in Annapolis, Maryland, over the course of 2 years to discuss the state of the field and future directions for participatory modeling. What follows is a description of 12 overarching groups of questions that could guide future inquiry.Participatory approaches to resource management must involve those who are affected by the decisions that stem from environmental management decisions (Reed et al., 2009). Environmental resource management often requires a combination of descriptive and normative knowledges as well as local capacity for action (and inaction). Because resource users have such knowledge and capacity, local engagement is crucial in PM. However, there are imbricated layers of power between researchers and locals-often with researchers holding the balance of power due to their increased access to social goods such as money, formal education,

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How planners and stakeholders learn with visualization tools: using learning sciences methods to examine planning processes

Cited by 34 publications

References 42 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

Try, try again: Lessons learned from success and failure in participatory modeling

Twelve Questions for the Participatory Modeling Community

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