Keywords
participatory modelling; citizen science; fuzzy-logic cognitive mapping; public participation in scientific research.
Location
Session F3: Modeling with Stakeholders: Old Problems, New Solutions
Start Date
17-6-2014 2:00 PM
End Date
17-6-2014 3:20 PM
Abstract
Although model-based reasoning is often at the center of environmental science and management, the process of constructing, refining and empirically validating scientific models is not often made explicit to participants in many citizen science programs. The lack of attention that modeling receives in citizen science programs is likely attributable to resource constraints, given that scientific modeling often requires considerable training and scientific software tools are not easily accessible to members of the general public. To address these constraints, we describe the development and use of a fuzzy-logic cognitive mapping software called Mental Modeler (http://www.mentalmodeler.org/), embedded within a citizen science web portal (www.citsci.org) and curriculum that allows scientists, environmental managers, and citizen scientists to: (1) collaboratively define environmental issues of shared concern, (2) model and represent assumptions, evidence, and existing information about these issues, (3) run scenarios to discuss potential research or management options, and ultimately (4) co-develop citizen science research and environmental management plans with science professionals. Our program uses an adaptive management framework to facilitate discussion between project managers and volunteers on: the current and desired state of the natural resource system being managed; their plan for a management action; project implementation; and evaluation and communication of results. Using data collected from one community group who worked with professional scientists and land managers on a local project in Virginia as a case study, we outline the architecture of the modeling software, describe participant interaction with the modeling tool and website, and review the project generated.
Included in
Civil Engineering Commons, Data Storage Systems Commons, Environmental Engineering Commons, Hydraulic Engineering Commons, Other Civil and Environmental Engineering Commons
Modeling with citizen scientists: Using community- based modeling tools to develop citizen science projects
Session F3: Modeling with Stakeholders: Old Problems, New Solutions
Although model-based reasoning is often at the center of environmental science and management, the process of constructing, refining and empirically validating scientific models is not often made explicit to participants in many citizen science programs. The lack of attention that modeling receives in citizen science programs is likely attributable to resource constraints, given that scientific modeling often requires considerable training and scientific software tools are not easily accessible to members of the general public. To address these constraints, we describe the development and use of a fuzzy-logic cognitive mapping software called Mental Modeler (http://www.mentalmodeler.org/), embedded within a citizen science web portal (www.citsci.org) and curriculum that allows scientists, environmental managers, and citizen scientists to: (1) collaboratively define environmental issues of shared concern, (2) model and represent assumptions, evidence, and existing information about these issues, (3) run scenarios to discuss potential research or management options, and ultimately (4) co-develop citizen science research and environmental management plans with science professionals. Our program uses an adaptive management framework to facilitate discussion between project managers and volunteers on: the current and desired state of the natural resource system being managed; their plan for a management action; project implementation; and evaluation and communication of results. Using data collected from one community group who worked with professional scientists and land managers on a local project in Virginia as a case study, we outline the architecture of the modeling software, describe participant interaction with the modeling tool and website, and review the project generated.
