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WRENS (Cafeteria East)
Susan Avery
Lewis Gilbert
Grant Heiken
Howard Kunreuther
Chris Landsea (Chair)
Betty Morrow
Chester Moore
Rutherford Platt
Ellis Stanley
Notes from white boards:
BLUEBIRDS
- Cascading/complex interactions
- Risk assessment
- Do classical science techniques explore such extreme events?
- Secondary impacts, ie, emotional health
- Non-linearity
- Policy incentives/disincentives
- Human activity (development) increasing potential impact of extreme events
- Trade-off between sustainability and tolerable level of risk
- Cultural differences
- Who decides? Level of risk
- Impact of high levels of consumption
- Appropriateness and use of models: accuracy, precision, validation – only 1/3 of the problem
- Are extreme events large versions of small events?
- Prediction
- Context
- Language/communication "knowledge distribution"
- Complexity
- "Luck" – avoiding worst case
- Perception – large scale events vs. widespread/frequent smaller events
- Event perception vs. event reality
- Trust in fiduciary responsibilities, eg, Alaska Airlines
- Experience unmediated by science
- Convergence of events/places/vulnerabilities
- "End-to-end" specialization & integration
- Capacity building – how to do most effectively?
- Data acquisition: what happened?
- Common terminology for defining extreme events
- Why extreme events?
- Why are extreme events fascinating?
- How to parse question of extreme events?
- Is there a "worst case"?
- Nuclear war
- Costs/how to quantify
- Failures splendid opportunities for learning; under what circumstances can we learn from extreme events?
ROBINS

- What are types of extreme events and frequencies and costs?
- What are prediction/types:
Preventable
Unpreventable
–How?
Limit Consequences Limit Consequences
Clean up
Clean up
- Meteors/hurricanes
- Reset scientific agenda to raise salience of extreme events research
- Raise profile of science in public D.M. about extreme events
- Broaden discourse among participant groups in extreme events discourse
- Find new ways of communicating more effective ways of addressing extreme events
- Short term/Long term
[incentives/rewards]
[related search exists]
- Natural vs. human-made
- Timing (episodic vs. chronic)
- Qualitative vs. quantitative assessments
- Impact of values
- Resource allocation (prevention, mitigation)
- Need for integration/melding of many disciplines
- Root causes of more armed conflicts, etc. [keynote talk]
- Benefits of risk-taking behavior of extreme events
- Decisions under uncertainty; better understanding of actual decision heuristics]
- Disconnect between producers and consumers of knowledge
- Limits of possibilities of planning, prediction, control
- Value of folk knowledge
- Perceptions of decisions under environmental problems, events
- Assessments: impacts, assets, vulnerabilities
- Accountability
- Overselling of prediction
- Seductions/dangers of oversimplification
- Distributed decision-making
- Economics of disasters (who wins/loses)
- Investigate the impacts of mitigation
WRENS
Unaddressed (inadequately addressed) issues:
1. Environmental impact
4. Tension and synergies among stakeholders
1. Long-term impacts
1. Historic impacts and analyseis
3. Fostering user/researcher interrelations/develop programs before the extreme event
3. Share results (better protocol) with end users
(no number) Develop and testing of scenarios and involve stakeholders
2. Credibility/legitimation
- "Cry wolf" issues
- Exaggerated claims
- Export disagreements
- Role of Media and scientists
2. False alarms/surprises
- Communicating probability and uncertainty
3. Consequences
- Integration of social and physical sciences (working on problems together)
1. Taxonomy of extreme events
2. Human Dimensions Aspect
- Risk tolerance
- "Winners and losers"–distribution issues
- Risk adaptation (living to learn to live with hazards and co-existence)
- Risk mitigation (beforehand public and private policy and planning)
- Decision making
- Communication
- Categories of vulnerability (poor, minority, women, elderly, children)
- Levels of responsibility
– individual (self-reliance)
– corporate
– community
- TRUST (and mistrust)
- Planning (event vs. general sustainability)
- Response and recovery
5. All Users Theme
- Many different end users (emergency managers, individuals, companies)
- Lack of appreciation for end users' needs
- Need to foster cross-pollination
How?
– Advisory committeees
– Cross-disciplinary funding
– Internships with end users
– Personnel exchange between modelers and end users
4. Uncertainty – all extreme events
- Risk probs., modeling, physical process, of effects and data
- Communicating
- Work between organizations
- Human behavior
1. Data Issues
- Quality/uncertainty (probability error bars)/Accessibility
- Communication
3. Linkages: Science and public and private policy
3. Modeling
- Types (physical, statistical, numerical)
- Application (physical-natural hazards, human systems)
- Assumptions (physical laws vs. parameterization, constant vs. man-made constructs
- Limitations–error
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