Predicting Mass Casualty Events from 911 Data

Tuesday, November, 7 - November 9, 2023 
Location: The Synthesis Center, San Diego Supercomputer Building 

San Diego Supercomputer Center (SDSC) at UC San Diego 
Synthesis Center, E-B143

Mass shootings are increasing in the United States, especially at schools. Emergency response is often delayed because alert and decision-making systems are inefficient or overburdened. Recent advances in AI and data mining could enable predictive analysis of 911 calls to detect mass shooting events and trigger alerts faster than current systems. This workshop would bring together experts across sectors to explore using 911 data streams for early detection of mass casualty events. The workshop aims to clarify data needs, address technical and organizational challenges, and lay groundwork for a prototype early alert system that could be deployed nationally to transform 911 response. Key goals are improving 911 data models for real-time detection, evaluating early results and challenges of detecting spatial-temporal patterns in 911 calls, exploring predictive modeling for mass shootings, and addressing implementation challenges to deploy robust, ethical models operationally. 

Program Discussions Includes:

• Improving 9-1-1 data models

• Detecting spatiotemporal patterns in 9-1-1 call logs in school areas

• Developing AI-driven predictive models for mass shootings

• Addressing technical and ethical challenges of deploying these models in operational emergency networks

Registration is required to attend. The registration deadline is Sunday, October 1, 2023. There is no fee to attend. 

Important Dates

Registration Deadline:

Sunday, October 1, 2023

Predicting Mass Casuality Events from 9-1-1 Data Workshop:
Tuesday, November 7 – Thursday, November 9, 2023

Contact

 Program related: Ilya Zaslavsky  (izaslavsky@ucsd.edu)

Logistical questons: events@sdsc.edu