J 2019

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

STERLING, Eleanor J; Moira ZELLNER; Karen E JENNI; Kirsten LEONG; Pierre D GLYNN et al.

Základní údaje

Originální název

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

Autoři

STERLING, Eleanor J; Moira ZELLNER; Karen E JENNI; Kirsten LEONG; Pierre D GLYNN; Todd K BENDOR; Pierre BOMMEL; Klaus HUBACEK; Antonie J JETTER; Rebecca JORDAN; Laura Schmitt OLABISI; Michael PAOLISSO a Steven GRAY

Vydání

Elementa : Science of the Anthropocene, Oakland, University of California Press, 2019, 2325-1026

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

50704 Environmental sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 4.212

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14230/19:00127774

Organizační jednotka

Fakulta sociálních studií

EID Scopus

Klíčová slova anglicky

Participatory modeling; Collaborative modeling; Stakeholder engagement; Planning; Environmental management

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 10. 3. 2023 14:53, Mgr. Blanka Farkašová

Anotace

V originále

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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