English

Designing Emergency Response Pipelines : Lessons and Challenges

Artificial Intelligence 2020-10-16 v1

Abstract

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.

Keywords

Cite

@article{arxiv.2010.07504,
  title  = {Designing Emergency Response Pipelines : Lessons and Challenges},
  author = {Ayan Mukhopadhyay and Geoffrey Pettet and Mykel Kochenderfer and Abhishek Dubey},
  journal= {arXiv preprint arXiv:2010.07504},
  year   = {2020}
}

Comments

Accepted at the AI for Social Good Workshop, AAAI Fall Symposium Series 2020

R2 v1 2026-06-23T19:21:51.853Z