Try, try again : Lessons learned from success and failure in participatory modeling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F19%3A00127774" target="_blank" >RIV/00216224:14230/19:00127774 - isvavai.cz</a>
Result on the web
<a href="https://online.ucpress.edu/elementa/article/doi/10.1525/elementa.347/112477/Try-try-again-Lessons-learned-from-success-and" target="_blank" >https://online.ucpress.edu/elementa/article/doi/10.1525/elementa.347/112477/Try-try-again-Lessons-learned-from-success-and</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1525/elementa.347" target="_blank" >10.1525/elementa.347</a>
Alternative languages
Result language
angličtina
Original language name
Try, try again : Lessons learned from success and failure in participatory modeling
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50704 - Environmental sciences (social aspects)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Elementa : Science of the Anthropocene
ISSN
2325-1026
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
February
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
1-13
UT code for WoS article
000461388800001
EID of the result in the Scopus database
2-s2.0-85068069431