Welcome to NYC School of Data — a community conference that demystifies the practices and policies around open data, technology, and service design. Hosted by BetaNYC at CUNY School of Law, this year’s conference concludes NYC’s Open Data Week 2026 and is the TENTH edition of both SoData and Open Data Week!
2026 is bigger than ever with 40+ sessions organized by NYC’s civic technology, data, and design community!
Day 1: the classic NYC School of Data conference, with programming across 12 rooms during 4 session blocks.
Day 2: NEW in 2026 – UnSchool of Data! The unconference agenda is created together on the day, with attendee pitches at the top of the day. Select sessions have been pre-seeded by BetaNYC to kick things off.
Our venue is accessible and content is all-ages friendly! If you have accessibility questions or needs, please email us at < [email protected] >.
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Join us for an eye-opening presentation on how NYC's bus lane enforcement affects your daily commute to class. In "ACE and the Race to Class," data analysts Furkan Ay, Maida Kucevic, and Efe Aslanertik will present a comprehensive study examining the impact of Automated Camera Enforcement (ACE) cameras on MTA bus speeds across New York City, with special emphasis on routes serving CUNY campuses. Using machine learning analysis of over 330 bus routes and comparing speeds from 2015-2019 (pre-ACE) to 2025 (post-ACE), this research reveals which routes improved, which lagged behind, and what factors determined where cameras were installed. The analysis includes predictive modeling to identify what characteristics made routes eligible for ACE implementation and quantifies the actual speed improvements on routes serving CUNY students.
This presentation is ideal for CUNY students, urban planning enthusiasts, data science students, transit advocates, and anyone curious about how technology and policy interventions impact daily transportation equity. Attendees will see interactive visualizations, learn about the methodology behind analyzing large transit datasets, and discover concrete findings about their own bus routes. Whether you're a data science student interested in real-world applications, a daily commuter frustrated by slow buses, or someone passionate about transportation justice, this session offers actionable insights backed by rigorous analysis. Bring your questions about specific bus routes, and leave with a deeper understanding of how automated enforcement is reshaping NYC transit and whether it's actually getting you to class on time.
