BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//NYC Open Data Week - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:NYC Open Data Week
X-ORIGINAL-URL:https://opendataweek.nyc
X-WR-CALDESC:Events for NYC Open Data Week
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20270314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20271107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260325T100000
DTEND;TZID=America/New_York:20260325T180000
DTSTAMP:20260502T053327
CREATED:20260307T144143Z
LAST-MODIFIED:20260307T144143Z
UID:10001937-1774432800-1774461600@opendataweek.nyc
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
ATTACH;FMTTYPE=image/jpeg:https://opendataweek.nyc/wp-content/uploads/2026/03/PIT-Pop-Up-logo-3rd-draft-drop-shadow-outline.jpg
GEO:40.7116150664;-74.0112759014
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Oculus World Trade Center 185 Greenwich Street New York New York 10006 United States of America;X-APPLE-RADIUS=500;X-TITLE=185 Greenwich Street:geo:-74.0112759014,40.7116150664
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260325T100000
DTEND;TZID=America/New_York:20260325T130000
DTSTAMP:20260502T053327
CREATED:20260312T231731Z
LAST-MODIFIED:20260312T231731Z
UID:10001947-1774432800-1774443600@opendataweek.nyc
SUMMARY:Drop-in Data Discussions and AI Dialogs for Real World Solutions
DESCRIPTION:This event is a half-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+As\, and design activities. \nCome and say hi if you have questions like these about Open Data: \n\nI want to know where things are. Is there mapped Open Data on where human services resources are located? If I manage a resource can I add to these maps?\nI want to know about local and State budgeting and finances. Is there public information about civic budgets? Where can I see capital funding allocations\, for example?\nI’m curious about city planning and demographics. What is the makeup of our City? Who lives where\, and why?\n\nOr questions like these about AI: \n\nI hear a lot about AI and how it will change everything. How are human services organizations responding to this change? What do I need to know?\nWhat are the risks of using AI in my work? Are there ways to minimize potential harms to my organization and our clients?\nAI is everywhere\, but what can it actually do? Can you explain how my organization can safely identify and implement AI opportunities?\n\nWe will be running activities to help you use Open Data tools to answer questions relevant to your organization’s needs\, to understand AI from the perspective of its capabilities (i.e. what it can do for you rather than how it works)\, and to identify low-risk and low-hanging fruit opportunities for using AI and Open Data in your organization. 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. \nAbout the organizers: \nThis event extends a series of engagements and conversations we are having with individuals and human services organizations to help navigate change and uncertainty associated with AI\, and to help identify and realize opportunities offered by Open Data. We are researchers and educators committed to designing and using technology in the public interest. \n\nLauri Goldkind is Professor of Social Work at the Graduate School of Social Service\, Fordham University. She is interested in how digital tools\, artificial intelligence and open data can make the lives of individuals in and served by the social sector better. (https://www.laurigoldkind.net)\nGraham Dove is Assistant Professor at New York University\, Tandon School of Engineering. His research in human-computer interaction (HCI) focuses on helping diverse groups of people design and use data-rich technologies and artificial intelligence\, without requiring expertise in data science. (https://wp.nyu.edu/tandonschoolofengineering-peopleplustechnology/)\n\nThis event will be held in the NYC PIT Pop-Up. 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).
URL:https://opendataweek.nyc/event/drop-in-data-discussions-and-ai-dialogs-for-real-world-solutions/
LOCATION:Oculus World Trade Center\, 185 Greenwich Street\, New York\, New York\, 10006\, United States of America
CATEGORIES:Office Hours
ATTACH;FMTTYPE=image/png:https://opendataweek.nyc/wp-content/uploads/2026/03/generic-event-updated.png
GEO:40.7116150664;-74.0112759014
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Oculus World Trade Center 185 Greenwich Street New York New York 10006 United States of America;X-APPLE-RADIUS=500;X-TITLE=185 Greenwich Street:geo:-74.0112759014,40.7116150664
END:VEVENT
END:VCALENDAR