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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AI systems are increasingly being used to make decisions about how our public spaces work. These decision making tools are being used in New York City to prioritize housing assistance, enforce parking rules, identify individuals from video for police investigations, and many other purposes. While many cities have legislation requiring that these systems be transparent, often this is limited to posting pdfs on a public portal, with long technical descriptions hampering public understanding
In this workshop, we aim to present and get feedback from the School of Data Community on the initial draft of "DTPR for AI", a new open data standard for describing how these AI systems work that’s designed for members of the public. We will go over how it was developed, how it works, and demonstrate a few examples of how NYC algorithms can be made more accessible using DTPR. We will then run a co-design session to gather feedback on how this open-source project can be improved with the group assembled. This workshop is an opportunity to contribute to the open-source project and participate in its emerging community of users and contributors.
This workshop was made possible by support from the U.S. National Science Foundation.
