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Expert Models of Influences on CHEMM Effectiveness

The CHEMM Expert Models were created to identify and characterize the primary influences on the effectiveness of CHEMM, supporting planning and prioritization of stakeholder outreach, and ongoing CHEMM development. The Models were also used as the analytical basis for the research conducted in this project. Draft versions of these Models were created through consultation with the CHEMM Project Team and were presented to 27 CHEMM stakeholders in a workshop conducted February 17, 2010. The facilitated workshop was designed to enable open, frank discussions on the issues and challenges that matter most to participants. The purpose of the workshop was to elicit and focus knowledge and insights in a way that would help shape the design of CHEMM.

Workshop participants represented a variety of disciplines associated with emergency response including: fire fighters, hazmat responders, physicians, federal and state agencies, industry, consulting firms, and researchers. Feedback from workshop participants was used to develop the CHEMM Detailed Expert Models, presented later, as well as a CHEMM User Matrix, detailing information needs for specific CHEMM Users.

The updated CHEMM Expert Models were presented to workshop participants in a follow-up validation web conference on May 18, 2010 and were used as the analytical basis for mental models research (presented later). They will continue to provide a framework for future research and development of CHEMM.

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Expert Model
The basic notion of this model is that professional assessors possess and use well-established cognitive structures when rating assessors. For expert assessors these organizing prior-knowledge frameworks, which develop by abstracting from previous assessment center experiences and training, are helpful...
(Personnel psychology and human resource management)
Step 2: Develop the Expert Model
As described earlier, an expert model summarizes and integrates expert knowledge on the topic of interest, typically using graphic decision-modeling representations, which provides an analytical framework for the design and analysis of later in-depth mental models research with key stakeholders. This...
(Mental Modeling Approach: Risk Management Application Case Studies)
ASPS Expert Model Example
The Base Expert Model of Influences on Potential Patient Decision Making Regarding Plastic Surgery (Fig. 2.3) provides an overview of the context in which the decision to have plastic surgery is made by the consumer, as estimated by experts. Thirteen experts in cosmetic and reconstructive surgery...
(Mental Modeling Approach: Risk Management Application Case Studies)
Expert Modeling
The expert modeling approach deployed in this case study is used to assess beliefs about flood risk management and has been applied in the past to a variety of risk management interests and domains (Morgan et al. 2002; Downs et al. 2008; Wood et al. 2009; Thorne et al. 2005). Historical Mental Modeling...
(Mental Modeling Approach: Risk Management Application Case Studies)
Expert Modeling Results
The Expert Model ofInfluences on USACE Flood Risk Management (Fig. 4.1) is illustrated as an influence diagram (Fleming 2002a, b) or a directed graph where different nodes (variables) are connected by arrows (a marker of influence between two variables) in a larger system. In this case, arrow...
(Mental Modeling Approach: Risk Management Application Case Studies)
Expert Modeling
In order to acquire much needed information and opinions on the priorities and tasks to improve USACE’s environmental risk manage approach for climate change, a series of expert models were developed. These models illustrate an aggregate of the internal and external knowledge and beliefs associated...
(Mental Modeling Approach: Risk Management Application Case Studies)
Expert Modeling
All good research begins with a solid understanding of current knowledge and theory on the topic to be researched, and Mental Modeling no different. However, applied research to address problems involving risk and risk perception typically involves a large number of not well understood potential influences...
(Mental Modeling Approach: Risk Management Application Case Studies)
Expert Models
Following the development of the Opportunity Statement, a base expert model, developed through review of relevant literature and through formal and informal discussions with the Project Team and a limited number of key experts, is developed. The draft base expert model is then shared with a larger group...
(Mental Modeling Approach: Risk Management Application Case Studies)
Expert Model Narrative
The Expert Model Narrative guides the reader through the CHEMM Expert Models, providing descriptions of the key variables (termed nodes) and the relationships among the variables (termed influences). Two Models are presented. The first Model depicts a system perspective, a more general...
(Mental Modeling Approach: Risk Management Application Case Studies)