Participatory modeling has grown in popularity in recent years with the acknowledgement that stakeholder knowledge is an essential component to informed environmental decision-making. Including stakeholders in model building and analysis allows decision-makers to understand important conceptual components in the environmental systems being managed, builds trust and common understanding between potentially diverse sets of competing groups, and reduces uncertainty by mining information that might not otherwise be a part of scientific assessment performed by experts alone. Software that facilitates the integration and analysis of stakeholder knowledge in modeling, however, is currently lacking. In this paper we report on the design and anticipated use of a participatory modeling tool based in fuzzy-logic cognitive mapping (FCM) called ‘Mental Modeler’ which makes the mental models of stakeholders explicit and provides an opportunity to incorporate different types of knowledge into environmental decision-making, define hypotheses to be tested, and run scenarios to determine perceived outcomes of proposed policies.
The importance of including stakeholders in environmental decision-making through modeling has seen growing attention in recent years. Voinov and Bousquet  outline two major objectives that drive participatory modeling: (1) to increase and share knowledge and understanding of a system and its dynamics under various conditions [2, 3, 4] and (2) to identify and clarify the impacts of solutions to a given problem [5, 6, 7]. Currently a wide range of stakeholder-centered modeling programs, practices, and guidelines exist, which all essentially aim to provide decision support and facilitation in participatory planning contexts. Although the tools and software available to environmental managers have experienced a large recent increase, some critics have cautioned that diversity of modeling practices does not necessarily indicate diversity in function, as new stakeholder modeling programs are often prone to duplication of efforts . 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. Recommendations for future development focus on designing tools and processes that capitalize on learning as an outcome of participatory modeling, specifically toward the goals of adaptive resource management through iterative model development .
Publisher : IEEE
By : Steven A. Gray Stefan Gray Linda J. Cox Sarah Henly-Shepard
File Information: English Language/ 9 Page / size: 317 KB
سال : 2013
ناشر : IEEE
کاری از : Steven A. Gray Stefan Gray Linda J. Cox Sarah Henly-Shepard
اطلاعات فایل : زبان انگلیسی / 9 صفحه / حجم : KB 317
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