AIOct 15, 2020

Designing Emergency Response Pipelines : Lessons and Challenges

arXiv:2010.07504v11 citations
Originality Synthesis-oriented
AI Analysis

It addresses practical problems for emergency response practitioners and researchers, but is incremental as it synthesizes existing experiences without introducing new methods.

The paper discusses challenges and lessons learned from designing emergency response management pipelines for incidents like accidents and fires, based on six years of collaboration with first responder organizations.

Emergency response to incidents such as accidents, crimes, and fires is a major problem faced by communities. Emergency response management comprises of several stages and sub-problems like forecasting, resource allocation, and dispatch. The design of principled approaches to tackle each problem is necessary to create efficient emergency response management (ERM) pipelines. Over the last six years, we have worked with several first responder organizations to design ERM pipelines. In this paper, we highlight some of the challenges that we have identified and lessons that we have learned through our experience in this domain. Such challenges are particularly relevant for practitioners and researchers, and are important considerations even in the design of response strategies to mitigate disasters like floods and earthquakes.

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