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2/28/02 NSF - Responding to the U nexpected 1 Earthquake Case Discussion Response to Unexpected NSF Workshop Feb 27-Mar 1 2002

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Page 1: 2/28/02 NSF - Responding to the Unexpected 1 Earthquake Case Discussion Response to Unexpected NSF Workshop Feb 27-Mar 1 2002

2/28/02 NSF - Responding to the Unexpected

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Earthquake Case Discussion

Response to Unexpected

NSF Workshop

Feb 27-Mar 1 2002

Page 2: 2/28/02 NSF - Responding to the Unexpected 1 Earthquake Case Discussion Response to Unexpected NSF Workshop Feb 27-Mar 1 2002

2/28/02 NSF - Responding to the Unexpected

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Issues

Lessons from earthquakes Response issues Modalities of research Research bottlenecks

Page 3: 2/28/02 NSF - Responding to the Unexpected 1 Earthquake Case Discussion Response to Unexpected NSF Workshop Feb 27-Mar 1 2002

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Lessons from Earthquakes (and other natural disasters)

Some predictable elements, many unexpected Significant experience Physical Variables

– Areal extent– Duration– Size and impact

Other variables– Jurisdictions– Organizations– Available technologies– Asset and sector exposures

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Response discussion

Communication (design and architecture) network design, control, interfaces, multi-modality

Vertical and horizontal inter-organizational coordination– Information integration across authorities identified as major

CS problem Designed-in flexibility : object-oriented planning,

breadboard approach Data needs Game-playing for modeling response system Simulation and training for unexpected events

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Response discussion (cont.)

Information issues– Analysis– Acquisition/collection– Qc and validation, calibration– Active vs passive interactions– Information for coordination: incorporation of response

activities into information stream– Security, access, channels, information communities – Integrating before event– Situational alertness and interactions with monitoring webs

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Response Research needs: Planning architectures

– Flexibility– Robustness– Modularity– Extensibility– interoperability– Scaling– Timeliness

Minimize trauma and damage (health and infrastructure) Public pressure (politics) Return to normalcy

– Practical implementation– User-mediated interaction

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Response Research needs (cont.)

Decision architectures (in real time, collaborative)– fundamental models– Autonomous agent decision vs. human input– Prioritizing response actions– Risk modeling under unfolding conditions– Choice modeling (public and private)– Triage response

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Modeling

A priori assessments of vulnerability Nature and severity of unexpected event

(within the envelope) - situational assessment Scenarios (outside the envelope) Tracking the trajectory of event

– Cascading consequences

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Modeling (cont.)

Understanding event timelines Understanding spatial extent and variability Understanding response time constraints State of modeling unsatisfactory

– Loss-estimation– Calibration– Modeling and data issues– Postdiction assessment

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Information issues

Database integration Passive and active interaction Archived and RT data Resources, responses, techniques Security

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Information issues (cont.)

Situational matching Practitioner matching Time-variant, real-time environment Encylopaedic vs. critical need (agent-based

selection) Alerts, identification of significant input

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Research Modalities

More active interaction with practitioners Partnerships with regional and local

governments Structure such as CALL (Army Center for

Lessons Learned) Case histories, rapid response, integration of

case studies into response mechanisms, indexing of unexpected events

Evaluation

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Research bottlenecks

Inter-organizational coordination– Fed/state/local interactions– Mission agency interactions

Data security dilemmas– Policy vacuum– CS research opportunity