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Mental Modeling Approach: Risk Management Application Case Studies

Supporting Evidence-Based Strategies and Communications Understanding People’s Mental Models Mental Modeling: Critical to Effective Risk Communication Key Benefits of the Mental Modeling Applied Mental Modeling Who Should Use Mental Modeling?Overview of the Chapters I: The Mental Modeling Approach II: Applications in USACE III: Applications in Other Contexts and Industries IV: Mental Modeling Software Support References I The Mental Modeling Approach Mental Modeling Research Technical Approach Overview of Mental Modeling Research Methodology Key Benefits of Mental Modeling Mental Modeling Core Technique Key Steps in the Mental Modeling Process Step 1: Define the Opportunity ASPS Opportunity Statement Example Step 2: Develop the Expert Model ASPS Expert Model Example Drivers Outcomes Step 3: Design, Conduct, and Analyze Mental Models Interviews ASPS Protocol Example Section 1: Motivation for Plastic Surgery Option. Perceived Benefits and Risks ASPS Top Line Findings Step 4 (Optional): Design, Conduct, and Analyze Qualitative and/or Quantitative Research, Building on Foundational Mental Models Research Step 5: Use Research Results to Design and Pretest Strategies, Policies, Interventions, and Communications ASPS Strategy Example Step 6: Implement and Evaluate Strategies ASPS Case: Implementation Results References Science of Mental Modeling Mental Modeling as Evidence-Based Practice Mental Model Theory Mental Model Diagrams Mental Modeling History and Method Other Methods for Representing Mental Models Concept Mapping Semantic Web System Dynamics Diagramming Conclusions References II Applications at U.S. Army Corps of Engineers (USACE)Flood Risk Management Literature Review of Layperson Stakeholder Perceptions Literature Review Results Expert Modeling Expert Modeling Results Mental Models Interviews and Comparative Analysis Interview Results Discussion References Adaptive Management for Climate Change Expert Modeling Results Conclusions References Technology Infusion and Marketing Base Model of the TIM Approach Step One: Opportunity Formulation Critical Definitions Product Service/Capability Step Two: Validation Step Three: Implementation Workshop: Technology Infusion and Marketing (TIM): Guided Thinking on Three Technologies Preworkshop with EL Sponsors and Project Leads Facilitators’ Protocol Workshop Agenda Overview Breakout Group Results TREECS: Training Range Environmental Evaluation and Characterization System Computational Chemistry Risk Key Learnings and Applying the Results TIM Path Forward Considerations/Action Options An Example of Project-Specific Successes and Learnings: TREECS References III Applications in Other Contexts and Industries Farmers’ Decision Making to Avoid Drug Residues in Dairy Cows: A Mental Modeling Case Study Expert Modeling Improving Risk Communication Variances Between Violators and Non-violators Considerations on Next Steps for Strategic Risk Communications with Dairy Farmers Key Learnings and Applying the Results References Influence of the CHEMM Tool on Planning, Preparedness, and Emergency Response to Hazardous Chemical Exposures: A Customized Strategic Communications Process Based on Mental Modeling Mental Modeling Approach Expert Models Mental Models Research Expert Models of Influences on CHEMM Effectiveness Expert Model Narrative Influence ofthe CHEMM Tool on Planning, Preparedness, and Emergency Response to Hazardous Chemical Exposures: System Perspective Influences ofthe CHEMM Tool on Planning, Preparedness, and Emergency Response to Hazardous Chemical Exposures: User Perspective User Matrices for CHEMM Optimization Deeper Insight into CHEMM Users’ Mental Models Research Sample First Responders First Receivers Interview Topics Summary Mental Models Research Findings Top-Line Findings CHEMM Uses and Information Needs CHEMM Information Quality Criteria CHEMM Functionality Stakeholder Engagement and Continuing CHEMM Development Interview Wrap-Up and Interviewees’ Closing Thoughts Building on the Mental Models Research Results Client Perspectives on Mental Models Research, Key Learnings, and Applying the Results The Chamber of Mines of South Africa Leading Practice Adoption System Background to Development of the System Leadership Commitment and Exploratory Work Key Outcomes Expert model on innovation .Enabling leadership and management .Industry ownership through direct involvement.Specialist secretarial support.Communities of practice for adoption.Mental modeling.A Residual Communication Challenge The Road Ahead Reference Conducting Effective Outreach with Community Stakeholders About Biosolids: A Customized Strategic Risk Communications Process™ Based on Mental Modeling The Global Opportunity for Biosolids Professionals The Strategic Risk Communications Process Applying the Strategic Risk Communications Process™: Two Case Studies Step 1: Define the Opportunity Sample Opportunity Statement Step 2: Characterize the Situation Technical Assessment, Using Expert Modeling Preliminary Stakeholder Analysis Step 3: Assess Stakeholders’ Interests, Priorities, and Communications Needs, Through Mental Models Research Sample Development and Recruitment Protocol Outline Conducting Interviews Coding and Analysis Sample Characteristics Highlights from the Mental Models Research Step 4: Develop and Pretest Communications Plan and Materials Pretesting Communication Plan and Materials Implementation and Evaluation Developing Guidance for Biosolids Professionals Key Learnings and Demonstrated Value References Using Mental Modeling to Systematically Build Community Support for New Coal Technologies for Electricity Generation Opportunity for New Coal-Based Power Generation Technology Opportunity at Genesee Key Challenges Project Steps Draft the Opportunity Statement and Guiding Principles Opportunity Statement Guiding Principles Develop Expert Model Conduct Mental Models Research Key Learnings from the Mental Models Research Hold a Series of Community Advisory Task Group Workshops Draft a Community Engagement Strategy Key Elements of the Community Engagement Strategy Included the Following Community Workshop to Draft the Environmental Impact Assessment Terms of Reference Finalize Community Engagement Strategy and Plan Conclusions Key Learnings References Saving Lives from a Silent Killer: Using Mental Modeling to Address Homeowners’ Decision Making About Carbon Monoxide Poisoning Communicating the Risk of Carbon Monoxide in the Home Applying the Mental Modeling Research Approach Step 1: Define the Opportunity Step 2: Characterize the Situation Development of the Expert Model Expert Model Narrative Expert Model Workshop Detailed Expert Model of Reducing Carbon Monoxide Risk in the Home Expert Model Validation Sample Development Interview Protocol Outline Conducting Interviews Coding and Analysis Weighted Mental Model General Homeowner Perceptions Sources of CO Maintenance and Servicing Service Technicians CO Detection Health Impacts Communication Information Requested Comparison of Women and Men Mental Models Analysis Step 4: Develop and Pretest Communications Plan and Materials Communication Goal and Strategic Objectives Key Communities of Interest and Potential Partners Message Platforms TSSA Action Plan Implementation and Evaluation Key Learnings and Demonstrated Value References U.S. Census Bureau Integrated Communications Services for Data Dissemination: Mental Modeling Case Study with Key Internal Expert Stakeholders Mental Modeling Approach Developing the Expert Models Developing the Sample Conducting Mental Models Research Research Highlights Key Census Bureau Stakeholders Modes of Communications and Engagement What Is Working Well Current Challenges Lack of Stakeholder Understanding of the Value of CB Data Lack of CB Understanding of Its Stakeholders Lack of Stakeholder Awareness of CB Data Improving Communication and Engagement Preliminary Considerations on Key Components of the Communications Research and Analytics Roadmap (CRAR)Strategic Framework for CRAR IV Mental Modeling Software Support Supporting and Expanding the Scope and Application of Mental Modeling: Current and Future Software Developments CASS Support Software for Mental Modeling Technology™ (MMT™) Research Processes eCASS Software for Modeling cCASS Coding and Analysis Module CASS Module Integration (eCASS and cCASS)CASS Development Case Study: IDST™ Used by Enersource Hydro Mississauga to Fulfill Customer Engagement Regulatory Requirements The Customer Engagement Challenge New Technology for Customer Engagement IDST™ Experience The Results Advantages Over Conventional Customer Engagement Methods Considerations on Future Applications of the IDST™Mental Modeling Technology™ with Quantitative Risk Analysis Tools References

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