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Translating community narratives into semi-quantitative models to understand the dynamics of socio-environmental crises
- Source :
- Environmental Modelling & Software. 97:46-55
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Acute socio-environmental crises often expose systemic problems that are linked by failures in management, environmental, or social systems. If recovery efforts are to address these systemic problems, these issues and the concerns of those impacted by the crisis need to be clearly articulated, rationally represented, and communicated to those responsible for the recovery. Although participatory approaches to crisis recovery often use environmental modeling, explicit ways in which stakeholders’ narratives and experiences can be translated into computer-based models for scenario analysis are not readily available to modelers or decision-makers. We present an approach to translating community narratives about crisis events using a free Fuzzy Cognitive Mapping software called Mental Modeler ( www.mentalmodeler.org ). We applied this process to the recent water crisis in Flint, Michigan, and demonstrate how participatory modeling can give communities a way to structure their thoughts, develop recovery actions, and communicate with those in charge of crisis recovery efforts.
- Subjects :
- Engineering
030505 public health
Environmental Engineering
Process (engineering)
business.industry
Management science
Ecological Modeling
Citizen journalism
010501 environmental sciences
Participatory modeling
01 natural sciences
Water scarcity
03 medical and health sciences
Social system
Narrative
Scenario analysis
0305 other medical science
business
Systemic problem
Software
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 13648152
- Volume :
- 97
- Database :
- OpenAIRE
- Journal :
- Environmental Modelling & Software
- Accession number :
- edsair.doi...........41964735447ff9cfeab2aba8069510b3