Community Details | Friends of Laura

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  Subject: Events

  Location: 111 John St, Suite 260 111 John Street New York, NY 10038 United States

  Start Date: December 6, 2025

  End Date: December 6, 2025

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NYC Transportation Safety Hackathon

DSSG-NYC & Family for Safe Streets (FSS) are co-hosting the very first "Stop-Super-Speeders Hackathon" to promote NYC transportation Safety. Note: This is IN-PERSON event, ONLY for NYC based participants. All Donation & Proceeds go to Family for Safe Streets. Coffee Snacks & Lunch Included. WHY Transportation Safety? Every day, 120 people are killed on US roadways, and over 14,000 suffer life-altering injuries. Every crash destroys families, and tears at the fabric of our communities. Crashes are preventable. These are not "accidents” — and the problems that cause them have proven solutions. No death or life-altering injury in a traffic crash is acceptable. Family for Safe Streets (FSS) confronts the preventable epidemic of traffic violence by advocating for life-saving changes and providing support to those who have been impacted by crashes. FSS uses a data-driven approach focused on “upstream” policy solutions proven to have the greatest impact. As a result, anti-speeding technology has helped cities across the US and countries abroad reduce roadway deaths and serious injuries. Data Science for Social Good NYC is helping to recruit volunteers and civic hackers to participate in this hackathon! Hacking Deliverables: Understand ISA Devices and how it's deployed for Super Speeders. The Hackathon consists of creating a proof of concept (PoC) for an eventually bigger system of data management for the installation of Intelligent Speed Assistance (ISA) devices for individuals / vehicles that incur in speeding violations. This PoC will be used to demonstrate the viability of the policy implementation. The complete system should eventually account for several stakeholders in different stages of the data management and alert system as shown in the following flowchart: Data Management Design: Design ETL and pipeline Data st

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