Mental Modeling Approach: Risk Management Application Case Studies

Supporting Evidence-Based Strategies and CommunicationsUnderstanding People’s Mental ModelsMental Modeling: Critical to Effective Risk CommunicationKey Benefits of the Mental ModelingApplied Mental ModelingWho Should Use Mental Modeling?Overview of the ChaptersI: The Mental Modeling ApproachII: Applications in USACEIII: Applications in Other Contexts and IndustriesIV: Mental Modeling Software SupportReferencesI The Mental Modeling Approach Mental Modeling Research Technical ApproachOverview of Mental Modeling Research MethodologyKey Benefits of Mental ModelingMental Modeling Core TechniqueKey Steps in the Mental Modeling ProcessStep 1: Define the OpportunityASPS Opportunity Statement ExampleStep 2: Develop the Expert ModelASPS Expert Model ExampleDriversOutcomesStep 3: Design, Conduct, and Analyze Mental Models InterviewsASPS Protocol ExampleSection 1: Motivation for Plastic Surgery Option. Perceived Benefits and RisksASPS Top Line FindingsStep 4 (Optional): Design, Conduct, and Analyze Qualitative and/or Quantitative Research, Building on Foundational Mental Models ResearchStep 5: Use Research Results to Design and Pretest Strategies, Policies, Interventions, and CommunicationsASPS Strategy ExampleStep 6: Implement and Evaluate StrategiesASPS Case: Implementation ResultsReferencesScience of Mental ModelingMental Modeling as Evidence-Based PracticeMental Model TheoryMental Model DiagramsMental Modeling History and MethodOther Methods for Representing Mental ModelsConcept MappingSemantic WebSystem Dynamics DiagrammingConclusionsReferencesII Applications at U.S. Army Corps of Engineers (USACE)Flood Risk ManagementLiterature Review of Layperson Stakeholder PerceptionsLiterature Review ResultsExpert ModelingExpert Modeling ResultsMental Models Interviews and Comparative AnalysisInterview ResultsDiscussionReferencesAdaptive Management for Climate ChangeExpert ModelingResultsConclusionsReferencesTechnology Infusion and MarketingBase Model of the TIM ApproachStep One: Opportunity FormulationCritical DefinitionsProductService/CapabilityStep Two: ValidationStep Three: ImplementationWorkshop: Technology Infusion and Marketing (TIM): Guided Thinking on Three TechnologiesPreworkshop with EL Sponsors and Project LeadsFacilitators’ ProtocolWorkshop Agenda OverviewBreakout Group ResultsTREECS: Training Range Environmental Evaluation and Characterization SystemComputational ChemistryRiskKey Learnings and Applying the ResultsTIM Path Forward Considerations/Action OptionsAn Example of Project-Specific Successes and Learnings: TREECSReferencesIII Applications in Other Contexts and Industries Farmers’ Decision Making to Avoid Drug Residues in Dairy Cows: A Mental Modeling Case StudyExpert ModelingImproving Risk CommunicationVariances Between Violators and Non-violatorsConsiderations on Next Steps for Strategic Risk Communications with Dairy FarmersKey Learnings and Applying the ResultsReferencesInfluence of the CHEMM Tool on Planning, Preparedness, and Emergency Response to Hazardous Chemical Exposures: A Customized Strategic Communications Process Based on Mental ModelingMental Modeling ApproachExpert ModelsMental Models ResearchExpert Models of Influences on CHEMM EffectivenessExpert Model NarrativeInfluence ofthe CHEMM Tool on Planning, Preparedness, and Emergency Response to Hazardous Chemical Exposures: System PerspectiveInfluences ofthe CHEMM Tool on Planning, Preparedness, and Emergency Response to Hazardous Chemical Exposures: User PerspectiveUser Matrices for CHEMM OptimizationDeeper Insight into CHEMM Users’ Mental ModelsResearch SampleFirst RespondersFirst ReceiversInterview TopicsSummary Mental Models Research FindingsTop-Line FindingsCHEMM Uses and Information NeedsCHEMM Information Quality CriteriaCHEMM FunctionalityStakeholder Engagement and Continuing CHEMM DevelopmentInterview Wrap-Up and Interviewees’ Closing ThoughtsBuilding on the Mental Models Research ResultsClient Perspectives on Mental Models Research, Key Learnings, and Applying the ResultsThe Chamber of Mines of South Africa Leading Practice Adoption SystemBackground to Development of the SystemLeadership Commitment and Exploratory WorkKey OutcomesExpert 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 ChallengeThe Road AheadReferenceConducting Effective Outreach with Community Stakeholders About Biosolids: A Customized Strategic Risk Communications Process™ Based on Mental ModelingThe Global Opportunity for Biosolids ProfessionalsThe Strategic Risk Communications ProcessApplying the Strategic Risk Communications Process™: Two Case StudiesStep 1: Define the OpportunitySample Opportunity StatementStep 2: Characterize the SituationTechnical Assessment, Using Expert ModelingPreliminary Stakeholder AnalysisStep 3: Assess Stakeholders’ Interests, Priorities, and Communications Needs, Through Mental Models ResearchSample Development and RecruitmentProtocol OutlineConducting InterviewsCoding and AnalysisSample CharacteristicsHighlights from the Mental Models ResearchStep 4: Develop and Pretest Communications Plan and MaterialsPretesting Communication Plan and MaterialsImplementation and EvaluationDeveloping Guidance for Biosolids ProfessionalsKey Learnings and Demonstrated ValueReferencesUsing Mental Modeling to Systematically Build Community Support for New Coal Technologies for Electricity GenerationOpportunity for New Coal-Based Power Generation TechnologyOpportunity at GeneseeKey ChallengesProject StepsDraft the Opportunity Statement and Guiding PrinciplesOpportunity StatementGuiding PrinciplesDevelop Expert ModelConduct Mental Models ResearchKey Learnings from the Mental Models ResearchHold a Series of Community Advisory Task Group WorkshopsDraft a Community Engagement StrategyKey Elements of the Community Engagement Strategy Included the FollowingCommunity Workshop to Draft the Environmental Impact Assessment Terms of ReferenceFinalize Community Engagement Strategy and PlanConclusionsKey LearningsReferencesSaving Lives from a Silent Killer: Using Mental Modeling to Address Homeowners’ Decision Making About Carbon Monoxide PoisoningCommunicating the Risk of Carbon Monoxide in the HomeApplying the Mental Modeling Research ApproachStep 1: Define the OpportunityStep 2: Characterize the SituationDevelopment of the Expert ModelExpert Model NarrativeExpert Model WorkshopDetailed Expert Model of Reducing Carbon Monoxide Risk in the HomeExpert Model ValidationSample DevelopmentInterview Protocol OutlineConducting InterviewsCoding and AnalysisWeighted Mental ModelGeneral Homeowner PerceptionsSources of COMaintenance and ServicingService TechniciansCO DetectionHealth ImpactsCommunicationInformation RequestedComparison of Women and MenMental Models AnalysisStep 4: Develop and Pretest Communications Plan and MaterialsCommunication Goal and Strategic ObjectivesKey Communities of Interest and Potential PartnersMessage PlatformsTSSA Action PlanImplementation and EvaluationKey Learnings and Demonstrated ValueReferencesU.S. Census Bureau Integrated Communications Services for Data Dissemination: Mental Modeling Case Study with Key Internal Expert StakeholdersMental Modeling ApproachDeveloping the Expert ModelsDeveloping the SampleConducting Mental Models ResearchResearch HighlightsKey Census Bureau StakeholdersModes of Communications and EngagementWhat Is Working WellCurrent ChallengesLack of Stakeholder Understanding of the Value of CB DataLack of CB Understanding of Its StakeholdersLack of Stakeholder Awareness of CB DataImproving Communication and EngagementPreliminary Considerations on Key Components of the Communications Research and Analytics Roadmap (CRAR)Strategic Framework for CRARIV Mental Modeling Software SupportSupporting and Expanding the Scope and Application of Mental Modeling: Current and Future Software DevelopmentsCASS Support Software for Mental Modeling Technology™ (MMT™) Research ProcesseseCASS Software for ModelingcCASS Coding and Analysis ModuleCASS Module Integration (eCASS and cCASS)CASS DevelopmentCase Study: IDST™ Used by Enersource Hydro Mississauga to Fulfill Customer Engagement Regulatory RequirementsThe Customer Engagement ChallengeNew Technology for Customer EngagementIDST™ ExperienceThe ResultsAdvantages Over Conventional Customer Engagement MethodsConsiderations on Future Applications of the IDST™Mental Modeling Technology™ with Quantitative Risk Analysis ToolsReferences
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