Co-chairs:Robin Murphy, Texas A&MTrevor 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?

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

Citizens

Insurers

Con-struction

Citizens

Business

InformalStakeholders

Communication of Risk

Social Networking

GIS Mash ups

Unmanned Systems

Damage Models

Wireless Networks

Wireless Networks

GIS Representation Citizen

Science/People as Sensors

Social Networking, People as Sensors

Visualization

Optimization

Embedded Systems

Behavorial Models

Secure Sharing

Computer Vision

Computer Vision

Unmanned Systems

Probabilistic

and Reasoning

Opportunities Increasing

National Guard

Red Cross

National Guard

City Manager

National Guard

National Guard

FEMAFormalStakeholders

Computing for Disasters

Human-Computer Systems

Decision-Making For Extremes Under Extreme Conditions

- Sensemaking, comprehension, and visualization - Trustworthy data- Decision support- Physiological and cognitive impacts

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…)

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.

5 Unique Directions

1. Integrating computing, physical science, and social science

2. Working and comprehending at scale

3. Real-time Modeling

4. Methods and Metrics

5. Training and Education

Conducts Research Differently

• Is holistic

• Relies primarily on empirical methodologies

• Is based on meaningful partnerships with a stakeholder(s)

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

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