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Co-chairs: Robin Murphy, Texas A&M Trevor Darrell, University of California Berkeley

Co-chairs: Robin Murphy, Texas A&M Trevor Darrell, University of California Berkeley. Purpose. 2 day workshop Are there fundamental research questions for individual computing disciplines? Are there cross -cutting research questions requiring novel, multi-disciplinary solutions? .

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Co-chairs: Robin Murphy, Texas A&M Trevor Darrell, University of California Berkeley

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  1. Co-chairs: Robin Murphy, Texas A&M Trevor Darrell, University of California Berkeley

  2. Purpose • 2 day workshop • Are there fundamental research questions for individual computing disciplines? • Are there cross-cutting research questions requiring novel, multi-disciplinary solutions?

  3. Importance • Disasters aren’t increasing, but their impact is • 2000 and 2009 over 7,000 disasters • 1.1 million people casualties worldwide, affected another 2.5 million directly • loss of $986.7 billion • Time is Now! • Advances from DoD, social networking, telecommuting, telemedicine • Need economic resilience • Returning veterans, job creation

  4. Opportunities Increasing Social Networking, People as Sensors Computer Vision Behavorial Models Wireless Networks Probabilistic National Guard Business Communication of Risk National Guard Citizens FEMA National Guard Visualization National Guard Citizens Damage Models Formal Stakeholders Informal Stakeholders Con- struction Social Networking City Manager Red Cross Insurers Wireless Networks Optimization Computer Vision Unmanned Systems Embedded Systems Unmanned Systems GIS Mash ups Citizen Science/People as Sensors and Reasoning GIS Representation Secure Sharing

  5. Computing for Disasters • Extreme Complexity • Non-linear, large interdependencies, multiple temporal and spatial scales, no single optimal solution (“wicked problem”) • Algorithmic, data complexity • Modeling under uncertainty • Privacy, security • Politics, sociology, psychology, language • Resilience of infrastructure (electrical, communications, transportation, financial…) • Extreme Scales • Time (before, during, after, real-time, discrete events vs. climate change…) • Space (local, geographically large, global impacts…) • Stakeholders (Citizens, government, formal response agencies, informal response agencies and social media, industry…) • Data (time, priority, heterogeneity, types, content, sources…) • Decision-Making For Extremes Under Extreme Conditions • Sensemaking, comprehension, and visualization • Trustworthy data • Decision support • Physiological and cognitive impacts • Human-Computer Systems

  6. Computing for Disasters How… • dynamic socio-technical systems work • stakeholders can comprehend data at scale • models can be adapted in real-time • to effectively train and educate the population to exploit technical improvisation in order to respond to disasters.

  7. 5 Unique Directions • Integrating computing, physical science, and social science • Working and comprehending at scale • Real-time Modeling • Methods and Metrics • Training and Education

  8. Conducts Research Differently • Is holistic • Relies primarily on empirical methodologies • Is based on meaningful partnerships with a stakeholder(s)

  9. Computing Can Revolutionize • Gathering actionable data • Transmission, transformation, abstraction of data • Explicit represent and mitigate uncertainty • Social, behavioral and economic consequences • Optimizing resources and logistics • Reuniting families, identify and triage victims • Training of workers • STEM education and recruitment

  10. Recommendations • Living Roadmap • Domain elucidation workshop • Workshops at relevant conferences • Funded Research Portfolio • Rapid Response Grants • Traditional PI Grants • Seedling, Medium, Large • RegionalCenters • Provide testbeds, exercises, stakeholders

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