The overall project involves developing algorithms, procedures, and visualization for a real-time decision system (RTDS) that will assist emergency responders–federal, state and local–to coordinate and proactively respond to disasters and emergencies (D&E) that are cascading in a highly uncertain manner. Natural disasters, such as hurricanes, tornadoes, forest fires, tsunamis, floods, severe storms, etc., typically impact large areas, and these impacts cascade in time and space. When predictions of impact can be made with little uncertainty, “what-if” scenario prediction (often through simulations) can be made and good response plans can be developed. However, when predictions of impending D&E are highly uncertain then a response strategy is needed in which response resources and responders, and associated recourse actions, are mobilized as the impacts of the D&E event, and its cascading effects, become clearer over time and our predictions improve.
|Effective start/end date||1/1/18 → 2/14/20|
- Arizona State University (18-409 // 2017-ST-061-QA001-01)
- Department of Homeland Security (18-409 // 2017-ST-061-QA001-01)
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