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DTSTART;TZID=America/New_York:20260325T100000
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SUMMARY:Mapping Emergency Food Needs in NYC
DESCRIPTION:Each year\, NYC community-based organizations and City government work to supply millions of pounds of food directed toward people in need through the Community Food Connection Program. Determining how to distribute limited resources to where they are needed the most\, the city leverages data-driven approaches to bring food to those in need using the Supply Gap Analysis. In this workshop\, you’ll learn how data insights can shape decision-making\, collaboration\, and support organizers like you to make more informed decisions that facilitate food security for our communities. \nLed by Ora Kemp and Lauren Drumgold from the NYC Mayor’s Office of Food Policy\, this session will include insights from the Mayor’s Office for Economic Opportunity & Community Food Connection administrators\, whose work supports over 700 food pantries and soup kitchens across the city\, leveraging insights from the supply gap analysis in areas of unmet need. \nIdeal for food security advocates\, academics\, students\, data analysts and anyone else interested in food-related issues and data\, the workshop will provide answers to questions about neighborhood food security metrics\, how need for emergency food is defined and measured\, and how to leverage the dataset to support neighborhood and/or organizational strategies to close the gap. You will have a chance to interact with the Emergency Food Supply Gap dataset using NYC Open Data tools to pose your own strategic insights to support food security.
URL:https://opendataweek.nyc/event/mapping-emergency-food-needs-in-nyc/
CATEGORIES:Presentation
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DTSTART;TZID=America/New_York:20260325T100000
DTEND;TZID=America/New_York:20260325T180000
DTSTAMP:20260427T061708
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SUMMARY:NYC PIT Pop Up: CUNY Open Data Takeover Day Three
DESCRIPTION:As part of NYC Open Data Week 2026\, the CUNY Public Interest Technology (PIT) Lab will host a week-long Open Data Takeover of the NYC PIT Pop-Up at the Oculus / World Trade Center. The activation advances Open Data Week’s goals of accessibility\, civic learning\, and practical use of open data by bringing open data projects into a highly visible\, public-facing space. Attendees can drop in at any time during the hours below for a demonstration of the tool and to speak with the presenter. Most of the demos will also be streamed live from the Pop-Up on its Twitch (https://www.twitch.tv/cunypitlab). Inside the Oculus\, the Pop-Up is located on the Main Floor C2\, in the South Concourse\, at Shop #53 (next to M.A.C. Cosmetics). View the full PIT Lab schedule. No RSVP needed\, just stop by! \n[10am-1pm]\nLauri Goldkind – Drop-in Data Discussions & AI Dialogs for Real World Solutions\nThis is a one-day in-person drop-in\, office hours style session aimed at human services professionals and similar public sector staff to learn about ways that Open Data and AI might be used to help their organizations\, and to share experiences and challenges they currently face. The session will include hands-on activities and demos\, educational materials\, informal one-on-one discussions\, group Q+A’s\, and design activities. The first hour will include interactive table demonstrations of open data resources; the second hour will focus on the potential of AI capabilities for documenting impacts and improving organizational performance; the third hour will offer human services and local government agency staff the change to bring their data questions to office hours\, meeting with like-minded colleagues\, academics with domain expertise in data and AI literacy and student assistants. \n[2pm-6pm]\nKierstin Gray – MindHeart AI: Developing Healing Technologies and Consensual Data Practices in the World of AI\nMindHeart AI is a liberatory technology company centering the neuroscience of well being as a catalyst for intergenerational planetary healing. We create trauma-informed technologies that allow individuals to cultivate the necessary awareness to design sustainable pathways to well-being across personal\, social\, professional and collective communities. Utilizing the Systems Based Awareness Map\, the world’s first interactive map of human awareness\, we are building a scalable\, equitable platform combined with experiences that we call MindHeart Activations – in-person events that support collective healing through combining culturally relevant forms of somatics\, contemplative practices\, land-based rituals and retreats\, music and art\, all designed to create an infrastructure of care as a loving response to our awareness of the rising loneliness\, stress\, isolation and depression experienced across the world. \nSasha Richardson – Black Knowledge Erasure Dataset\nThe Black Knowledge Erasure Dataset (BKED) is a research archive designed to document how AI models like GPT-5 and Gemini distort Black history and culture through specific “hallucinations”. Rather than viewing these errors as random bugs\, the project frames them as “epistemic erasure\,” where algorithms invent authorities or omit key figures in ways that mirror historical discrimination. The dataset includes the original prompts\, the incorrect AI responses\, and human-verified annotations that identify exactly where the models failed against standard archival sources. \nAlex Conner – ººSPARK**CIVIC\nºSPARK**AI × ºDO..OS form the intelligence and operating layer behind ºSPARK**CIVIC’s NYC Data Week session\, demonstrating how NYC Open Data can move from published datasets to shared understanding and clear next steps. ºSPARK**AI helps interpret complex civic data and policy context into consistent\, plain-language meaning\, while ºDO..OS ensures that guidance carries forward as reusable actions\, templates\, and handoffs across committees\, agencies\, partners\, and the public.
URL:https://opendataweek.nyc/event/nyc-pit-pop-up-cuny-open-data-takeover-day-three/
LOCATION:Oculus World Trade Center\, 185 Greenwich Street\, New York\, New York\, 10006\, United States of America
CATEGORIES:Exhibition
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DTSTART;TZID=America/New_York:20260325T110000
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SUMMARY:Reclaiming the Night: Urban Light Pollution\, Solutions\, and Open Data
DESCRIPTION:New York\, the city that never sleeps\, is too bright. Light pollution disrupts wildlife\, affects human well-being\, wastes money and energy\, contributes to climate change\, and blocks our view of the universe. But there are ways to fix it. In this workshop\, you will learn the basics of light pollution\, the solutions\, New York’s efforts to control it\, and available open datasets for measuring and mapping nighttime lights in the city and worldwide. This workshop is open to everyone who cares about the night. \nAbout the presenter:\nRuoyu Li: graduate student in urban data science at the NYU Center for Urban Science and Progress (CUSP); data analysis and social impact intern at DarkSky International; leader of DarkSky’s New York state chapter; treasurer of the NYU student chapter of the American Society for Photogrammetry and Remote Sensing (ASPRS); and an advocate for the dark sky movement for over a decade. \nCo-organizers: \n\nDarkSky New York;\nNYU Center for Urban Science and Progress (CUSP);\nAmerican Society for Photogrammetry and Remote Sensing (ASPRS) NYU Student Chapter
URL:https://opendataweek.nyc/event/reclaiming-the-night/
LOCATION:NYU CUSP – 370 Jay Street\, 370 Jay Street\, Room 1201\, Brooklyn\, NY\, 11201
CATEGORIES:Workshop
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DTSTART;TZID=America/New_York:20260325T110000
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SUMMARY:PriceWise - A grocery prices database built by and for budget-conscious communities
DESCRIPTION:Food prices are too *&#$ high! \nEveryone is talking about grocery price inflation\, but how do we really figure out individual item price changes? Let alone keep track of prices across different stores and neighborhoods? In combination with recessionary trends and other food justice issues\, it’s stressful for budget-conscious people to make well-informed buying decisions. \nThis talk will demo an exciting new community tool PriceWise. This web application creates a database of food prices to help families and individuals easily digitize their grocery receipts and work together to pool that data across their community. The tool uses NYC OpenData to connect these prices with stores and neighborhoods. \nDesigner and developer Shiva Muthiah will talk about how and why they built this tool\, and discuss why making food pricing more legible can help policy-makers address food justice challenges.
URL:https://opendataweek.nyc/event/pricewise-a-grocery-prices-database-built-by-and-for-budget-conscious-communities/
CATEGORIES:Demonstration
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DTSTART;TZID=America/New_York:20260325T130000
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SUMMARY:What 13 Million 311 Complaints Reveal About New York City's Quality of Life
DESCRIPTION:In this session\, David Tussey — retired technology executive and former executive director in the NYC Department of Information Technology and Telecommunications (DoITT\, now OTI) — presents a data-driven Quality of Life Index built entirely from NYC’s 311 Service Request open dataset. Drawing on more than 13 million complaint records spanning 2020 through 2025\, the analysis tracks 30 complaint categories across five quality-of-life domains — from shelter conditions and neighborhood cleanliness to street safety and social distress — and measures how each has changed relative to a pre-established baseline. The methodology\, developed with guidance from mentor Dr. Jun Yan of the University of Connecticut Department of Statistics\, applies seasonally adjusted indexing and Statistical Process Control techniques to surface meaningful trends in public service demand. \nParticipants will see a live walkthrough of the analytical pipeline built in R using NYC Open Data\, including data preparation\, index computation\, and publication-ready visualizations. The session is part demonstration\, part methodology discussion\, and part provocation — the findings raise real questions about urban quality of life that city agencies\, policymakers\, and engaged New Yorkers will want to wrestle with. \nThis session is ideal for city employees working in technology or data roles\, academics and students interested in applied urban analytics\, and anyone curious about what 311 data can reveal when you look beyond individual complaints. No prior technical background is required to follow the findings\, though data practitioners will find the methodology discussion valuable. Attendees are encouraged to come with questions.
URL:https://opendataweek.nyc/event/what-13-million-311-complaints-reveal-about-new-york-citys-quality-of-life/
CATEGORIES:Presentation
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LOCATION:https://opendataweek.nyc/event/what-13-million-311-complaints-reveal-about-new-york-citys-quality-of-life/
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DTSTART;TZID=America/New_York:20260325T140000
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SUMMARY:Mapping Green Space Access: Turn Data into Community Action
DESCRIPTION:A workshop that uses NYC Open Data to map green space access gaps\, not just where parks exist\, but who can actually reach them. We’ll identify transit barriers\, unsafe pedestrian routes\, and vacant lots with conversion potential\, then equip participants with concrete tools to turn that analysis into community advocacy. \nThe core question isn’t whether parks are near enough\, it’s whether people can access them. A park two miles away with no bus route might as well not exist for the people who need it most. Participants will learn to map those gaps and identify actionable solutions: Which bus route needs extending? Which vacant lot could become a neighborhood green space? Which crosswalk is missing? This workshop is about democratizing spatial analysis so that communities\, not just planners\, have the data to advocate for themselves. \nBy the end\, participants will have learned what it takes to create a working map of access gaps in a neighborhood of their choosing\, a set of targeted recommendations\, and guidance on how to present that data to the decision-makers who can act on it. \nThis event will be held at the Little Red School House\, 272 Avenue of the Americas.
URL:https://opendataweek.nyc/event/mapping-green-space-access-turn-data-into-community-action/
LOCATION:Little Red School House\, 272 6th Avenue\, New York\, New York\, 10014\, United States of America
CATEGORIES:Demonstration
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