Open Data Week Events (2017–Present)

Why NYC Needs a Community Data Portal - The Missing Half of NYC's Open Data

New York City helped invent the modern Open Data movement - launching one of the first municipal data portals, passing groundbreaking legislation, and building a civic ecosystem other cities can only envy. But NYC's portal only tells half the story. It primarily publishes data produced by City agencies, while thousands of valuable datasets about the city - created by universities, community organizations, advocacy groups, and research institutions across all five boroughs - have nowhere to go. That's not just a gap. It's a missed opportunity to unlock what Open Data can be: a shared civic resource "About Us, For Us, and By Us."

In this session, Joel Natividad (datHere) and Steven Saylor (Western Pennsylvania Regional Data Center / University of Pittsburgh) will introduce the Data Intermediary model - a practical approach where a trusted civic partner operates a Data Portal alongside a city's existing infrastructure. Drawing on WPRDC's real-world experience running a regional data portal and datHere's work building open source portals, they'll walk through what a Community Data Portal for NYC could look like, how it would work with (not against) the City's current systems, and what it would take to make it happen.

This talk is for anyone invested in NYC's civic data future - open data advocates, community organizations sitting on valuable datasets with no place to publish them, City agency staff, researchers, journalists, and civic technologists. Come help shape what the next chapter of Open Data looks like for New York City!

Individuals: Joel Natividad, co-CEO and co-Founder, datHere; Steven Saylor, Lead Developer, University Center for Social & Urban Research | University of Pittsburgh | Organizations: datHere, Inc., University Center for Social and Urban Research | University of Pittsburgh

2026

311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9], Primary Land Use Tax Lot Output (PLUTO) [https://data.cityofnewyork.us/d/64uk-42ks]

NYC School of Data Conference Session

Presentation

Spatial Analysis of NYC Open Data using ArcGIS

Analyzing spatial data using GIS tools is the most accurate way to find patterns in NYC Open Data that you may not have been able to find any other way. Then, visualizing the results of that analysis on a map is an effective way for others to experience and understand these patterns in an intuitive way. In this session, we will go step-by-step, combining the power of GIS technology with other industry standard statistical tools to find and examine the correlations, causes, and effects of spatial phenomena within communities and across the city. We will do this using Esri's free ArcGIS online mapping and analysis tools, along with Jupyter Notebooks.

Individuals: Jim Barry, Solution Engineer, Esri; Tim Calabrese, Project Manager, ESRI

2026

311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9], Affordable Housing Production by Project [https://data.cityofnewyork.us/d/hq68-rnsi], New York City Bike Routes [https://data.cityofnewyork.us/d/mzxg-pwib], 2015 Street Tree Census - Tree Data [https://data.cityofnewyork.us/d/uvpi-gqnh]

NYC School of Data Conference Session

Presentation

Building an AI-Powered Knowledge Base for NYC Community Boards

For decades, NYC’s Community Boards have produced thousands of resolutions and hours of discussion at meetings. These resolutions are how community boards take actions like accepting new restaurant or outdoor cafe applications, communicate with city agencies and elected officials, and state their stances on issues. Yet, almost none of it is easily searchable, navigable, or used by the community board members shaping local policy.
In this session, Tal Roded (Manhattan Community Board 3, NYCuriosity Writer) and Sarah Sachs (Founder of BlockParty) will walk attendees through how they built an AI-powered knowledge base that ingests Community Board resolutions and meeting transcripts, making local government memory finally discoverable. They will also have attendees explore the brand-new CB searchable archive.
Anyone interested in learning more about community boards and their effect on NYC neighborhoods, or interested in using AI tools to build new databases and search tools, should attend.

Individuals: Tal Roded, Manhattan Community Board 3 Member, NYCuriosity; Sarah Sachs, Data Scientist, Block Party

2026

NYC Community Board 3 Meeting Minutes/Vote Records (https://www.nyc.gov/site/manhattancb3/minutes/meeting-vote-records.page)

NYC School of Data Conference Session

Presentation

Making AI Make Sense Together: Designing a Critical AI Research Commons with NYC Open Data

Artificial intelligence increasingly shapes how cities make decisions, but most “AI literacy” efforts focus on how to use tools, not how to question them. This interactive workshop introduces Critical AI Literacy through a community-centered lens, exploring how public spaces can function as places where people investigate AI together using open data and lived experience.
Facilitated by members of the CUNY Public Interest Technology (PIT) Lab and the Trustworthy, Intelligent, and Explainable Robotics (TIER) Lab, this session will guide participants through a series of hands-on activities grounded in NYC Open Data (e.g., housing, climate, transit, and public services). Participants will work in small groups to design engaging, public-facing activities, such as games, walkthroughs, role-plays, creative exercises, or case studies, that help communities surface AI bias, question automation, and understand how data, power, and technology intersect in civic life. Participants will also be offered the opportunity to see their ideas come to life in the future at the NYC PIT Pop Up.
This session is ideal for civic technologists, educators, librarians, community organizers, students, artists, and public servants interested in using open data to build critical, justice-oriented AI literacy in public spaces. No technical background is required.

Individuals: Raj Korpan, Assistant Professor, Hunter College, City University of New York; Kathleen Cumiskey, Director, CUNY Public Interest Technology Lab; Anthoni Garcia, Lab Manager, CUNY Public Interest Technology Lab; Brendon Hawkins, Founder/Director, Studio Lab BH; Jeff Tobias, Project Manager, CUNY Pit Lab | Organizations: CUNY Public Interest Technology Lab & NYC PIT Pop UP, Trustworthy, Intelligent, and Explainable Robotics (TIER) Lab

2026

311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9], Housing Maintenance Code Violations [https://data.cityofnewyork.us/d/wvxf-dwi5], Motor Vehicle Collisions - Crashes [https://data.cityofnewyork.us/d/h9gi-nx95], DOHMH New York City Restaurant Inspection Results [https://data.cityofnewyork.us/d/43nn-pn8j]

NYC School of Data Conference Session

Workshop

Querying Big Bus Data off of the Open Data Portal

In this training, data scientists on the Metropolitan Transportation Authority's (MTA) Data & Analytics team will teach attendees how to query big bus data off of the Socrata-powered open data portals using Socrata Query Language (SoQL). The first half of the session will be done entirely using in-browser tools, no special software required!

For the second half of the session, we'll dive deeper into how to join bus route segment speed data to geospatial shapes in order to create map-based visuals. Python experience recommended to those who want to follow along, though all are welcome to listen in and learn! A URL to a GitHub repository will be added to this event page at a later date.

Individuals: Rahnuma Tarannum, Data Science Specialist, Metropolitan Transportation Authority; Benjamin Tannenwald, Senior Data Scientist, Metropolitan Transportation Authority; Emmalie Morisseau, Data Science Specialist, Metropolitan Transportation Authority | Organizations: Metropolitan Transportation Authority

2026

MTA Bus Routes (https://data.ny.gov/Transportation/MTA-Bus-Routes/bzwk-3hb4/about_data), MTA Bus Route Segment Speeds: Beginning 2025 (https://data.ny.gov/Transportation/MTA-Bus-Route-Segment-Speeds-Beginning-2025/kufs-yh3x/about_data)

Virtual

Demonstration

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A Sense of Place: Quantifying Urban Ambiance in New York through Social Media Data and Machine Learning

A Sense of Place is a research project created by Columbia MPA candidate Jali Packer that explores how New Yorkers experience their neighborhoods and how these experiences can be measured through open data. Drawing upon psychogeography, digital trace data and machine learning, the project demonstrates how residents collectively shape the emotional character of the places they inhabit.

This work analyzes millions of geo-tagged Flickr images to capture how people describe and perceive their surroundings through the concept of urban ambiance. These ambiance dimensions include creativity, liveliness, quietness, uniqueness and more. The project then combines this information with demographic, land-use and personality-trait data at the neighborhood level. Using data visualization and machine learning, the analysis identifies which factors best predict how a neighborhood feels.

There will be a presentation on the research followed by the chance to engage with the data. Participants will have their own 'maps' that they can fill-in, to provide their perspective on neighborhoods in New York City.

Individuals: Jali Packer, MPA Candidate, Columbia University

2026

NYC Population FactFinder (https://popfactfinder.planning.nyc.gov), NYC PLUTO land-use dataset (https://www.nyc.gov/content/planning/pages/resources/datasets/mappluto-pluto-change), Flickr Imaging Dataset (https://goodcitylife.org), Big Five Personality Dataset (https://www.outofservice.com/published-papers/)

NYC School of Data Conference Session

Presentation

Beyond the Thermometer: Mapping Socially Experienced and Empirical Heat in NYC Using 311 Data

This panel will present research on measuring the social experience of extreme heat in the context of a rapidly warming New York City. Engaging with one of the NYC Preparedness & Recovery Institute’s list of 10 key hazards—Temperature Extremes—our research team uses qualitative data captured from geotagged social media data (Twitter/X, Facebook, Instagram, Threads) and open datasets (311, 911 reports) to create a social “heat sentiment” index, which we then map spatially and compare with the quantitative heat index. By quantifying social media and open source heat sentiment data and using it to create a “Social Heat Impact Index” (SHII) map, we show how local level “felt heat” data can be contrasted with spatially mapped “empirical heat,” identifying neighborhood level gaps for targeted intervention across NYC’s five boroughs. In presenting this data, we join forces with researchers from CUNY’s School of Public Health (SPH) who are working on a similar (Department of Energy funded) project, exploring the “bottom up” heat experience of NYC neighborhood residents.

This session is presented by researchers from NYC CIDI, CUNY Graduate Center, Columbia University, and DOHMH, with work originating from the NYC Preparedness & Recovery Institute's Narrative 2 Numbers (N2N) initiative.

Individuals: Matthew J. Hill , Research Scientist, NYC CIDI; Kylen Solvik, Post-Doc, Matthew J Hill Consulting; Christine Mourani , Data Scientist, NYC DOHMH; Josefina Nuñez Sahr, Research Associate, CUNY - Implementation Science in Population Health

2026

911 End-to-End Data [https://data.cityofnewyork.us/d/t7p9-n9dy]

NYC School of Data Conference Session

Presentation

FloodNet - Flood Data Playground

This is a hands-on hackathon/workshop that invites NYC agencies, community members, researchers, and data folks to explore a newly released FloodNet event-based dataset on NYC Open Data. This dataset shares hyperlocal flood observations from FloodNet’s street-level network of ~330 sensors deployed across NYC. Each row represents a measured flood event and includes summary metrics like maximum depth, onset and drainage rates, time above depth thresholds, plus time series data that lets you reconstruct the full flood profile. The data covers both tidal and pluvial flooding, including a major rainfall event on Oct 30, 2025 when 125 sensors detected flooding across all five boroughs. 

We’ll kick off with a short introduction to FloodNet and the dataset, then move into the hackathon using a Google Colab notebook with example workflows for loading, visualizing, and analyzing the data. Participants can work solo or form small groups around shared interests, and we’ll end with a show-and-tell where volunteers can demo what they built and discuss real-world applications. Example directions could include: summarizing a major flood event, analyzing how 311 calls relate to measured flood events, and exploring how flooding impacts at-risk infrastructure, plus any new use cases teams invent. 

The session will be moderated by FloodNet Lead Backend Engineer Bea Steers, Technical Lead Charlie Mydlarz, and Mark Bauer (Senior Software Developer, ARUP). Bring a laptop and a curiosity for how open data can support flood response, mitigation, and public understanding - whether you’re a GIS/data professional, an emergency-management or infrastructure practitioner, a student, or a flood-impacted New Yorker looking to turn flood data into insight.

We recently had our dataset added to NYC Open Data: https://data.cityofnewyork.us/browse?Data-Collection_Data-Collection=FloodNet+NYC&sortBy=relevance&pageSize=20&page=1

Individuals: Bea Steers, Research Scientist, FloodNet; Mark Bauer, Software Developer, ARUP | Organizations: FloodNet

2026

FloodNet: Street Flooding Events Measured by FloodNet Sensors (http://tbd.tbd)

NYC School of Data Conference Session

Hackathon / Data Jam

Dredging For Data: Where the Dataset Ends, Your Job's Just Beginning!

One day last spring, I (design engineer Josh Sucher) sat in my car in front of the Hamilton Avenue Bridge over the Gowanus Canal, waiting for the drawbridge to close. That sent me down a yearlong rabbit hole of using open data -- and creating my own -- to determine when the bridge would be opening and closing -- and eventually to build a much more complex data logger project covering every angle of the Gowanus Canal. By combining open datasets, public APIs, reverse-engineered private APIs and my own hardware sensors, I unearthed the joy of becoming not just a consumer but a *producer* of open data, and I'm excited to walk you through my journey!

Individuals: Josh Sucher, Design Engineer, Things We Make

2026

Harbor Water Quality [https://data.cityofnewyork.us/d/5uug-f49n]

NYC School of Data Conference Session

Presentation

Forging Links Between Public Scholarship, Civic Tech, and Open Data: A Showcase of CUNY Public Scholarship Practice Space (PS2) Projects

Public scholarship has been a core value and practice of The CUNY Graduate Center since its founding 1961, and long part of the culture of CUNY, the largest urban public university in the United States. Increasingly, public scholars committed to creating and disseminating knowledge in service of the public good work with open data in their projects, and disseminate their work in open scholarly publishing platforms, curate and release public datasets, and engage in digital media to share their work for public audiences.
This interactive panel discussion will provide an overview of how public scholarship, scholar activism, and open data have many existing links in projects supported by The Public Scholarship Practice Space (PS2) at The Center for the Humanities at The CUNY Graduate Center. It will then showcase and reflect on several recent projects completed by graduate students at CUNY whose work focused on public scholarship, activism, arts-based methods, digital equity, and civic tech. Three of the identified presenters were 2025 Early Research Initiative/Public Scholarship Practice Space 2025 Summer Research Fellows and two presenters were Social Practice CUNY Fellows.

- Ian G. Williams will share his research on digital literacy, civic tech networks, and democracy through participation in The Impacts of Civic Technology Conference (TICTeC) in Mechelen, Belgium in July 2025, experiments in creating pedagogical tools bridging open data literacy and data justice in a social work classroom while examining 311 complaints about homelessness, and involvement with the NYC Public Interest Tech (PIT) Pop-Up this fall. Read Ian's write-up on summer activities here.

- Seon Britton will share his research on community technology organizations (CTOs) working to advance digital equity and inclusion in New York City through broadband internet service provision, including fieldwork with Silicon Harlem and NYC Mesh. His work argues that CTOs are a new type of organization that can help in providing internet access to currently underserved communities. Read Seon's write-up on summer activities here.

- Jaclyn Reyes and Ezra Undag will share their work with The UKAI Initiative, a transnational collaboration of artists, cultural workers and researchers in the US and in the Philippines that aims to advance environmental and climate justice through art, culture and community-building. The UKAI Initiative has several projects; this presentation will focus on the project, "Transnational Clothing Pathways." Read more about The UKAI Initiative here.

Individuals: Ian G. Williams, Doctoral Student, PhD Program in Social Welfare, CUNY Graduate Center; Seon Britton, Doctoral Candidate, PhD Program in Sociology, CUNY Graduate Center; Jaclyn Reyes, Doctoral Student, PhD Program in Social Welfare, CUNY Graduate Center; Ezra Undag, Master's Student, MS Program in Sustainability in The Urban Environment, The City College of New York | Organizations: CUNY Graduate Center, Public Scholarship Practice Space (PS2), Social Practice CUNY, The UKAI Initiative

2026

311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9], Broadband Adoption and Infrastructure by Zip Code [https://data.cityofnewyork.us/d/qz5f-yx82]

Virtual

Panel Discussion

Urban Risk Index: a NYC Index for Urban Hazards (NYC School of Data)

New York City is a complex and dynamic home to over 8.6 million residents with high population density, aging building stock, and interconnected infrastructure. All these elements amplify the risk of the many hazards in the city. Due to these complexities, emergency managers and planners have struggled with how to prioritize planning for these hazards because there is no mechanism to determine if some risks should be prioritized over others and to compare risks for each hazard. The same challenge also applies to selecting mitigation investments by hazard. However, since there is limited funding, city planners need to know which projects will produce a higher return on mitigation investment.

In 2020, New York City Emergency Management (NYCEM) procured a vendor to build an Urban Risk Index (URI). This index aimed to allow users to visualize and understand risk through the geographic lens of New York City. The tool incorporated specific datasets unique to New York City, creating a more localized version of FEMA's National Risk Index (NRI). As well as an index, the tool allows the user to compare geospatial outputs and analyses for different hazards. The index aspect of the tool is directly complimented by its ability to present risks in the context of the New York City landscape. Following the completion of the contract, the contractor developed a rich repository of scripts and outputs that embellished the risk analysis aim of the original request.

In our presentation, Te Du and Ahmad Shaibani of NYCEM will deliver a demo for the public version of the Urban Risk Index tool. Then we will share the methodology of the index calculations including the open datasets incorporated and how they contributed to the overall index scores. We will also share a few technical details in making the tool with open source technologies and highlight how they made the tool more robust and maintainable for future iterations.

Individuals: Te Du, Risk Analysis Specialist, NYCEM; Ahmad Shaibani, Resiliency and Risk Program Manager, NYCEM | Organizations: New York City Emergency Management Agency

2025

Population and Languages of the Limited English Proficient (LEP) Speakers by Community District [https://data.cityofnewyork.us/d/ajin-gkbp]

NYC School of Data Conference Session

Presentation

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#MachineEatable

Caitlin Augustin, DataKind/Microsoft

2019

ACE and the Race to Class: Improving Bus Speeds for CUNY Students

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.

Individuals: Furkan Ay, Machine learning engineer, Student; Maida Kucevic, GIS and data visualization, Student; Efe Aslanertik, Data analyst , Student

2026

Open Parking and Camera Violations [https://data.cityofnewyork.us/d/nc67-uf89]

NYC School of Data Conference Session

Presentation

Exploring NYC Open Data With AI (Part 1: Civic AI Tools & Open Data MCP)

Large language models like ChatGPT and Claude can now connect directly to NYC Open Data through a tool called Model Context Protocol (MCP)—meaning you can ask questions in plain English and get answers informed by data pulled live from city datasets, not AI-generated guesses.

This session is a practical walkthrough of how that works, and why it matters. We'll start with a live demo of Civic AI Tools (civicaitools.org), which lets you compare LLM responses with and without live data access side by side. Then we'll go under the hood, showing how MCP connects AI tools directly to NYC Open Data's Socrata API—and how you can set up and use these tools yourself in GitHub Codespaces.

Using NYC 311 service request data as our running example, we'll show how to go from a plain-English question (""What are the top complaint types in my community district?"") to a trustworthy, citeable answer—step by step. We'll show how live data access dramatically improves the quality of AI-generated answers—and why critical thinking is still essential when evaluating any LLM output.

By the end of the session, you'll be ready to set up and use these tools on your own NYC Open Data questions.
This session pairs with Part 2 (12:15–1:15pm), where three working journalists will show you how to take the data you've queried and turn it into polished charts and visualizations using the Datawrapper MCP. Each session stands on its own, but together they cover a complete workflow from question to published chart.

Individuals: Nathan Storey, Creator, Civic AI Tools, Civic AI Tools

2026

311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9]

NYC School of Data Conference Session

Class / Training

Where Tickets Happen: A High-Resolution Geospatial Study of Parking Enforcement in New York City

What started with a query into a couple of parking tickets led Michael Forster down a rabbit hole of publicly available ticket data. What he thought would be a quick afternoon with a spreadsheet and a few scripts became a year-long exploration into the world of data engineering, resulting in a database of over 90 million parking tickets issued across 10 years. 

This talk follows that journey from start to finish — from the first failed attempt to open the file, to repurposing old computers into building a Kubernetes cluster capable of handling the workload. Along the way, he deployed tools like Postgres, Kafka, and ClickHouse to build a pipeline that could ingest, process, and analyze a dataset of that magnitude. This talk walks you through the challenges of working with real-world data and the long road to geocoding nearly every parking ticket issued in New York City. You'll come away with a real sense of what data engineering, data quality, sanitization, and geospatial analysis look like in practice — and you'll see what began as a single raw table of millions of rows can result in usable and actionable data.

By day, Michael Forster is the Head of Technical Operations for a business-to-business marketing company. His role centers on taking complex technical concepts and making them accessible to anyone. Michael lives in Brooklyn with his family and moves his car every Tuesday and Friday for Alternate Side Parking.

Individuals: Michael Forster, ,

2026

Open Parking and Camera Violations [https://data.cityofnewyork.us/d/nc67-uf89], Centerline [https://data.cityofnewyork.us/d/inkn-q76z], Parking Regulation Locations and Signs [https://data.cityofnewyork.us/d/nfid-uabd], Street Sign Work Orders [https://data.cityofnewyork.us/d/qt6m-xctn]

NYC School of Data Conference Session

Lightning Talk

Vital City: Exploring 30 Years of NYC Crime — and What Comes Next

Join Paul Reeping, Director of Research at Vital City, for an interactive session exploring Vital City’s new Crime Data Explorer, a multi-decade, precinct-level platform covering complaints, arrests, and shootings in New York City. Paul will demonstrate how the tool works, explain the analytic framework behind it, and highlight key findings from Vital City’s most recent end-of-year crime report. Participants will gain a clearer understanding of long-term crime trends, how different categories are measured, and how to responsibly interpret citywide and neighborhood-level data.

The session will also look ahead. After walking through the Explorer, Paul will preview upcoming data initiatives at Vital City and invite participants to help shape future tools for data visualization, public safety measurement, and open data accessibility. This event is ideal for researchers, journalists, policymakers, technologists, students, and anyone interested in understanding crime trends and building better public data tools. Expect a mix of live demonstration, substantive analysis, and collaborative discussion about what New York City should measure, visualize, and build next.

Individuals: Paul Reeping, Director of Research, Vital City, NYC | Organizations: Vital City, NYC

2026

NYPD Complaint Data Current (Year To Date) [https://data.cityofnewyork.us/d/5uac-w243], NYPD Arrest Data (Year to Date) [https://data.cityofnewyork.us/d/uip8-fykc], ARCHIVED_NYPD Shooting Incident Data (Year To Date) [https://data.cityofnewyork.us/d/98wc-x49t]

Virtual

Presentation

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ECOLIBRIUM: Healthy Soil, Healthy Trees, Healthy City

A 30-minute presentation on soil health and tree-bed conditions, followed by a 30-minute field exercise examining and mapping the state of nearby street tree environments. These issues are ripe to be addressed in our community, along with actions we can take to improve publicly available data, fostering stewardship while maintaining and expanding our urban forest in the Loisaida neighborhood.

Loisaida Center

2024

In-Person

Presentation

Can You Trust the Story? Thinking Critically with AI and NYC Open Data

Can you trust the story that data tells about your city? In this 60-minute online workshop, participants will explore a curated slice of NYC’s 311 Service Requests dataset to see how everyday complaints become “data” about neighborhood life, services, and problems. Together, we’ll ask whose experiences appear in the dataset, what gets counted or left out, and how those choices shape the stories we tell with civic data.
Led by Dr. Cecilia Dones, a researcher and strategist whose work bridges data, social science, and AI transformation, the session is designed for curious New Yorkers with no technical background required. After a brief guided tour of a 311 data snapshot, participants will work in small groups on Zoom to pose questions of the data and then use a simple AI text tool to generate short headlines or summaries. Groups will annotate and critique these machine-written “stories,” examining what the AI emphasizes, what it omits, and how context and bias influence its interpretations.
This workshop is ideal for residents, educators, community organizers, public servants, and anyone interested in building data literacy and AI literacy as civic skills. Participants will leave with practical questions they can bring to any AI-generated account of civic life and a clearer sense of why human judgment remains essential when machines translate public data into narratives.

Individuals: Dr. Cecilia Dones, Founder, Chief Data Officer, 3 Standard Deviations

2026

311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9]

Virtual

Workshop

Building Applications with NYC Open Data and Open Source Tools

Christian Casazza is a data engineer who has built a open-source data platform on top of NYC Open Data. In this talk, he discusses using open source data engineering tools like Dagster, Polars, and DuckDB to ingest and clean gov data like NYC 311 and from the NYC Checkbook API. He will show participants how they can build on top of the clean, curated government data to build applications for the public good.

Anyone who is interested in using government data to improve the city's operations and citizens quality of life should attend.

The first part of the event will involve understanding the core open source technologies anyone working with data should know. Understanding the logic behind open source tools is important to appreciate how much faster, cheaper, and simpler modern data app building is with open source tools. These tools can be applied for anyone's civic interests and day to day work. The second part of the event will discuss some of the tools I've built around open source data. We will discuss using QueryStation.app and NYCStats.app and how New Yorkers can go there to learn about their city.

Individuals: Christian Casazza, Data Developer, Christian Casazza

2026

311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9]

Virtual

Presentation

Feeding New York: The Hidden Burden on the South Bronx

New York City’s food supply chain relies on a distribution system dependent on diesel trucks, creating compounding environmental and economic burdens in the South Bronx. This session, hosted by independent researcher Dan DeWitz, examines Hunts Point—home to the city’s largest wholesale food distribution hub—through the intersecting lenses of air quality, poverty, and climate risk. Participants will learn to critically evaluate environmental data, test the statistical significance of neighborhood-level air quality differences, and understand the limitations of relying on existing monitoring systems as "ground truth."

Looking forward, the session explores policy alternatives to the current model. By mapping Metro-North and LIRR rail lines alongside regional farmland and underserved communities, we will examine the untapped potential of existing transit infrastructure to reduce diesel emissions and improve food access. With portions of Hunts Point projected to flood under future climate scenarios, change is not just desirable—it is inevitable.

This event is ideal for anyone interested in environmental justice, urban planning, transportation policy, food systems, or applied data science. Whether you are a community advocate, policymaker, student, or curious New Yorker, you will leave with a deeper understanding of the data behind urban inequality and practical frameworks for solutions.

Individuals: Dan DeWitz, Data Scientist, Independent Researcher

2026

Air Quality [https://data.cityofnewyork.us/d/c3uy-2p5r], Compliance at-the-tap Lead and Copper Data [https://data.cityofnewyork.us/d/3wxk-qa8q], Where Are the Unbanked and Underbanked in New York City [https://data.cityofnewyork.us/d/v5w4-adxa]

Virtual

Presentation

Databook Update: Data Supporting Civil Service and Tech Procurement Reform

WeGovNYC's Databook (databook.nyc) is a data pipeline that indexes, normalizes, and republishes over 60 NYC Open Data datasets as a publicly accessible API and into an interface that offers in-depth profiles of City agencies, public schools, civil service titles, contracts and much more.

Our recent focus is providing tools for people interested in reforming civil service titles and technology procurement. We FOILed for civil service title descriptions, extracted their data, integrated it into Databook along with data visualizations at databook.nyc/titles. We also extracted all data from PassportPublic and Checkbook.NYC to create a new section in Databook connecting vendors, solicitations, agencies, vendors and contracts at https://databook.nyc/procurement.

We will discuss all our tools as well as how we've adopted generative AI (vibe coding) to accelerate our development.

Individuals: Devin Balkind, Founder, Sarapis

2026

See all 60+ datasets we use (https://databook.nyc/about/data)

Virtual

Demonstration

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From Static to Dynamic: A Preview of NYC’s Interactive Food Policy Dashboard

The Mayor’s Office of Food Policy (MOFP), in partnership with the CUNY Urban Food Policy Institute, is developing a comprehensive, interactive dashboard that will transform how New York City visualizes and shares data about its food system. Building on the city’s existing Food Metrics Report, this user-friendly platform will make food system data more accessible and actionable for a wide range of stakeholders, including advocates, service providers, researchers, city agencies, and policymakers.
 
This Open Data Week event offers a preview of the dashboard before it launches this summer. Attendees an opportunity to explore its features and  provide valuable feedback to help refine the platform before its public launch. Following the session, registrants will receive a communication when the dashboard is published.

Individuals: Lauren Drumgold, Policy Advisor, NYC Mayor’s Office of Food Policy; Yvette Ng, Research Fellow, CUNY Urban Food Policy Institute ; Rositsa Ilieva, Director of Policy, Adjunct Assistant Professor at CUNY Graduate School of Public Health & Health Policy, CUNY Urban Food Policy Institute | Organizations: NYC Mayor’s Office of Food Policy, CUNY Urban Food Policy Institute

2026

Virtual

Demonstration

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Using Open Tools to Explore Open Data

DataKind builds free and open software in the public interest. Spanning such diverse services as community mapping, predictive modeling, data transformation, data quality checks, and more, DataKind works with social impact organizations to build solutions that are usable, useful, and context-appropriate - and then helps organizations adopt those solutions at scale. This session will feature demonstrations of several of DataKind's tools, introductory training, access to references, use cases, and paths to learn more and to participate in our software advisory group.  Tools include ladderhub.org, colandrapp.com, getedvise.com, fencelinedata.org and more.

All attendees are welcome and there is no prerequisite level of data literacy, digital literacy, or awareness of free and open source tools. All information and resources will be provided to attendees.

Organizations: DataKind

2026

NYC education data (https://data.cityofnewyork.us/browse?category=Education&sortBy=relevance&page=1&pageSize=20), NYC environmental data (https://data.cityofnewyork.us/browse?category=Environment&sortBy=relevance&page=1&pageSize=20), NYC small business data (https://data.cityofnewyork.us/browse?category=Business&sortBy=relevance&page=1&pageSize=20), NYC community health data (https://data.cityofnewyork.us/browse?category=Health&sortBy=relevance&page=1&pageSize=20)

Virtual

Presentation

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NYC's Changing Landscape: Discover What's Being Built Around You

We've all seen construction sites and scaffolding appear in our neighborhood, tried to peek through the cracks and wondered: what are they building over there? This presentation will showcase how publicly available NYC Department of Buildings data can be brought together and deployed to give New Yorkers and industry pros alike a birds eye view on what's rising up in their communities, all at once and at a glance!

Join Bonnie Stefanick, New Yorker and citizen data scientist, through a high level overview of how the things that get built show up in permitting data using live demonstrations of data sets that capture the permitting process and a daily view of projects happening in NYC neighborhoods, while giving a peek under the hood at the data in action from how it is pulled from the open data APIs and brought to life in tools.

Individuals: Bonnie Stefanick , Citizen Data Scientist,

2026

DOB NOW: Build – Approved Permits [https://data.cityofnewyork.us/d/rbx6-tga4], DOB Permit Issuance [https://data.cityofnewyork.us/d/ipu4-2q9a], DOB NOW: Build – Job Application Filings [https://data.cityofnewyork.us/d/w9ak-ipjd], City Record Online [https://data.cityofnewyork.us/d/dg92-zbpx]

Virtual

Presentation

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Your Community By the Numbers: Intro to Census Data

Join Census Bureau data dissemination specialists Joli Golden and David Kraiker to learn how to use data.census.gov to access the most current and relevant demographic, socioeconomic, and housing statistics about your community. During this presentation, you will learn about the Decennial Census, the American Community Survey (ACS) and other Census Bureau programs, geographies, and datasets. Plus, you will see live demonstrations of the search and navigation features in data.census.gov as well as how to download tables, create charts and generate thematic maps. This training is recommended for all data users.

Individuals: Joli Golden, Data Dissemination Specialist, U.S. Census Bureau; David Kraiker, Data Dissemination Specialist, U.S. Census Bureau | Organizations: U.S. Census Bureau

2026

Decennial Census of Population and Housing (https://www.census.gov/programs-surveys/decennial-census.html), The American Community Survey (https://www.census.gov/programs-surveys/acs/data.html)

Virtual

Presentation

Hands-On Exploration of Child and Adolescent Mental Health with the Healthy Brain Network

The Healthy Brain Network (HBN) is a large community initiative and open data project run by the Child Mind Institute (CMI). Its goal is to better understand mental health and learning in children and adolescents in New York City. Families can take part in the clinical and research study if they have concerns about their child’s mental health or learning to receive a free, comprehensive clinical evaluation. Over the past decade, the Healthy Brain Network has collected and openly shared anonymized data from more than 4,000 children and adolescents. This information includes behavioral, clinical, and brain-based data, and is made freely available to researchers, educators, and the public to support new discoveries in mental health and psychiatric research.   
In this hands-on session, the CMI data team will introduce the openly accessible Healthy Brain Network (HBN) datasets with a focus on wristwatch actigraphy data, which consists of continuous measurements collected from a wearable device worn on the wrist, similar to a fitness tracker. These data provide insights into daily activity patterns and sleep over time.  
Attendees will learn how to download, explore, visualize, and analyze actigraphy signals using wristpy, an open-source Python package developed by CMI. Through guided activities, attendees will discover how these data can be used to uncover patterns over time and generate insights into behavior and mental health. This virtual class/training aims to spark curiosity and empower individuals to explore and engage with HBN data.

Individuals: Arianna Zuanazzi, Open Science and Research Collaboration Specialist, Child Mind Institute; Nathalia Esper, Scientific Software Engineering Generalist, Child Mind Institute; Adam Santorelli, Scientific Software Engineering Generalist, Child Mind Institute; Alexandre Franco, Research Scientist, Child Mind Institute | Organizations: Child Mind Institute

2026

HBN Actigraphy Data (https://fcon_1000.projects.nitrc.org/indi/cmi_healthy_brain_network/OpenScience.html)

Virtual

Class / Training

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Mapping Emergency Food Needs in NYC

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. 

Led 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.  

Ideal 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.

Individuals: Ora Kemp, , Mayor's Office of Food Policy; Lauren Drumgold, , Mayor's Office of Food Policy

2026

Emergency Food Supply Gap [https://data.cityofnewyork.us/d/4kc9-zrs2]

Virtual

Presentation

Pulling Back the Curtain: How NYC’s Org List Became a Maintained, Auditable Open Dataset and How Updates Actually Happen

Every organization list becomes "critical infrastructure" by accident: everyone needs it, but nobody owns it. This session pulls back the curtain on how NYC operationalized the NYC Agencies and Governance Organizations dataset—turning a messy real-world problem ("no definitive source for agency name") into an open, updateable system with a clear workflow, audit trail, and release process.

Presented by Nathan Storey from the Office of Data Analytics, attendees will participate in a quick interactive exercise illustrating why "ownership ≠ operations ≠ oversight," then see a live walkthrough of what the public sees, how changes are requested, and what maintainers actually do to ship a correction—including the Admin UI workflow for making safe, traceable edits. We'll also cover the schema choices that made the dataset useful quickly and the next layer of governance metadata being built.

This session is for anyone who maintains or uses high-value civic datasets—data stewards, open data coordinators, civic technologists, and anyone curious about what it actually takes to keep a dataset alive through constant organizational change. You'll leave with a reusable pattern: make updates easy, make decisions legible, and make every change auditable.

Individuals: Nathan Storey, Director of Data Governance, NYC Office of Data Analytics | Organizations: NYC Office of Data Analytics

2026

NYC Agencies and Governance Organizations [https://data.cityofnewyork.us/d/t3jq-9nkf]

Virtual

Presentation

How NYC Open Data Guided a Review of Initiatives to Improve Bus Speeds in New York City

Buses are the second-most important mode of transportation for New Yorkers and visitors alike, serving over 1.4 million riders daily. Yet, to no one’s surprise, they can be frustratingly slow. Traffic congestion, construction detours, double-parked vehicles, and limited dedicated infrastructure all contribute to sluggish bus speeds. In early 2025, the New York City Independent Budget Office (IBO) released a report analyzing city and state initiatives aimed at improving bus speeds, including one of the most ambitious efforts—the New York City Streets Plan. Enacted in 2019 through City Council legislation, the plan legally requires the NYC Department of Transportation to expand the city’s bus lane network, with a goal of building over 150 miles of protected bus lanes by 2026.

In this presentation, IBO budget and policy analyst Jan Mendez will guide attendees through some of the report's biggest findings, including how New York City bus speeds compare to other major cities across the United States, bus ridership trends, a historical analysis of bus speeds across the five boroughs, the impact of funding and staffing challenges on implementation of the New York City Streets Plan, and more! We'll also explore an interactive map with data on all New York City bus lanes, available to the public and created by the Independent Budget Office.

The New York City Independent Budget Office provides impartial, nonpartisan information and analysis of the NYC budget, and conducts policy research and analysis, particularly on aspects of City government with notable fiscal and direct human impacts on New Yorkers. If you're interested in a complex and analytical discussion on bus speeds and bus service, or in transportation issues in general, we invite you to attend!

Individuals: Jan Mendez, Budget and Policy Analyst, New York City Independent Budget Office | Organizations: New York City Independent Budget Office

2026

Bus Lanes - Local Streets [https://data.cityofnewyork.us/d/ycrg-ses3], Open Parking and Camera Violations [https://data.cityofnewyork.us/d/nc67-uf89]

Virtual

Presentation

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How Maps Speak: Mapping Commons Hackathon

A collaborative hackathon to build public mapping resources using NYC Open Data
How Maps Speak is a collaborative hackathon run by Parisa Setayesh and Shokran Rahiminezhad, two PhD candidates at the CUNY Graduate Center, focused on building a public teaching resource for mapping using NYC Open Data. Rather than centering on a single technical product, this hackathon brings together participants from diverse disciplines to co-create beginner-friendly mapping tutorials, examples, and workflows that show how maps are used to communicate with communities.
Participants will contribute and comment on short, structured materials, such as annotated mapping examples, tool-agnostic tutorials, and community-facing workflows, using NYC Open Data as a shared reference point. These contributions will form the foundation of Mapping Commons, an open, publicly accessible collection of mapping resources designed for non-experts.
The hackathon emphasizes collaboration, reflection, and public usefulness over competition or speed. No advanced technical or GIS experience is required. Register here.

This hackathon is designed for an interdisciplinary audience, including:
- Students and researchers
- Urban planners, designers, and architects
- Community organizers and advocates
- Educators, librarians, and journalists
- Data visualization practitioners

Individuals: Parisa Setayesh, PhD Candidate, CUNY Graduate Center; Shokran Rahiminezhad, PhD Candidate, CUNY Graduate Center | Organizations: Graduate Center Digital Initiatives

2026

Virtual

Hackathon / Data Jam

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Civic Media for Advocacy Across Amenity Gaps with Augmented Reality

While initiatives like Mapping for Equity document what exists (or doesn't exist) in public spaces, these gaps must be communicated or demonstrated so that community demand for invisible, unbuilt amenities can be recorded. Open Streetmap has a few ways to note desire or proposed amenities, but civic media can also help. inCitu, a NYC-based augmented reality company, proposes AR as a tool to bridge this gap: by combining data from projects like Mapping for Equity and Spatial Equity NYC with augmented reality (AR) visualization, communities can create compelling artifacts, like AR videos and mockups, that advocate for repair, preservation, and creation of public space infrastructure where it's needed most. This session will present a sample workflow, from scanning an existing amenity to creating an AR video of it in a new location, and will be followed by open discussion on civic design considerations how this method might contribute to existing efforts.

Organizations: inCitu

2026

Public Restrooms [https://data.cityofnewyork.us/d/i7jb-7jku]

Virtual

Demonstration

Making Cents of It All: The City's Budget, Its Data, and Why It Matters to You!

At more than $118 billion, New York City’s annual budget is larger than the budgets of all but three U.S. states. It funds everything from parks and libraries to housing programs, street maintenance, childcare, and public safety. But the documents that make up the City’s budget were not designed primarily for public transparency, they are built to manage spending and comply with accounting rules. As a result, it can be surprisingly difficult for even experienced observers to understand where the money actually goes.
In this session, the Independent Budget Office’s Logan Clark will walk participants through the basics of how the City’s budget works and how to use publicly available data to better understand the City’s financial position. The session will introduce key budget concepts and vocabulary, explain why the budget is structured the way it is, and explore how different datasets can help illuminate city spending and ultimately, improve service delivery.
Participants will get a practical tour of major public resources, including the Independent Budget Office’s Fiscal History tools, the Comptroller's Checkbook NYC tool, and public datasets from the Mayor’s Office of Management and Budget. Attend this event to learn how to begin answering questions about agency spending, budget trends, and how public dollars translate into the services New Yorkers experience every day.

Organizations: New York City Independent Budget Office

2026

Where the Dollar Comes From and Goes To [https://data.cityofnewyork.us/d/qhm5-h46t], NYW Bond Issuance [https://data.cityofnewyork.us/d/7c9t-ckpj], Financial Plan Statements - Personal Service Expenditures [https://data.cityofnewyork.us/d/nhtw-fjuj], NYC Climate Budgeting Report: Emission Factors [https://data.cityofnewyork.us/d/umve-k9rk], Debt Issuance by Issuer [https://data.cityofnewyork.us/d/n5n4-5k5r], Expense Financial Plan - Adpt\Prel [https://data.cityofnewyork.us/d/e4p3-6ecr], NYC Climate Budgeting Report: Forecast of Citywide Emissions [https://data.cityofnewyork.us/d/czei-7bxd], Hurricane Sandy Expense and Capital Estimate by Agency [https://data.cityofnewyork.us/d/h5f7-3btz], NYC Climate Budgeting Report: New Climate Investments And Reallocations In Executive Plan [https://data.cityofnewyork.us/d/yvbp-zcpt], Capital Budget [https://data.cityofnewyork.us/d/46m8-77gv], New York City Seasonally Adjusted Employment [https://data.cityofnewyork.us/d/5hjv-bjbv], Community Boards Geographic Report [https://data.cityofnewyork.us/d/f9xn-fiww], Financial Plan Baseline & Initiatives By Funding [https://data.cityofnewyork.us/d/e64w-ctmw], Financial Plan Headcount Baseline & Initiatives By Funding [https://data.cityofnewyork.us/d/d33y-i2m7], NYC Climate Budgeting Report: Climate Alignment Assessment and Capital Climate Investments [https://data.cityofnewyork.us/d/c99a-c5ux], Capital Project Detail Data - Milestones [https://data.cityofnewyork.us/d/s7yh-frbm], Capital Commitment Plan [https://data.cityofnewyork.us/d/2cmn-uidm], Expense Budget-Debt Service Agency OTPS Detail [https://data.cityofnewyork.us/d/iw4r-p85g], New York City Personal Income Tax Collections By Component [https://data.cityofnewyork.us/d/5mdy-gux8], Expense Actuals [https://data.cityofnewyork.us/d/7yay-m4ae], Quarterly Borrowing Schedule [https://data.cityofnewyork.us/d/rsnp-rdyf], Position Schedule [https://data.cityofnewyork.us/d/f4wx-5ve6], New York City Forecasts of Selected Economic Indicators [https://data.cityofnewyork.us/d/xatq-cxeq], Total City, Transit and Housing Police Force Headcount [https://data.cityofnewyork.us/d/wpnz-dpup], DOE Funding Sources [https://data.cityofnewyork.us/d/m46f-nmju], NYC Climate Budgeting Report: Avoided Health Events By NTA (Archived) [https://data.cityofnewyork.us/d/ic46-fvh8], NYC Climate Budgeting Report: Resiliency Exposure Forecast - Outdoor Heat [https://data.cityofnewyork.us/d/95zn-7w5f], Revenue Budget & Financial Plan -- Exec\Adpt\Prel [https://data.cityofnewyork.us/d/ugzk-a6x4], New York City Tax Revenue Actuals [https://data.cityofnewyork.us/d/j3uq-sh95], Ten-Year Capital Strategy [https://data.cityofnewyork.us/d/b37a-3faw], Debt Service Major Indicators [https://data.cityofnewyork.us/d/4yay-s2us], Additional Costs Allocation [https://data.cityofnewyork.us/d/u42g-qjaj], Asset Management Executive Summary - State of Good Repair Needs (Capital Eligible) [https://data.cityofnewyork.us/d/wcpw-9chs], Financial Plan Statements - Revenue [https://data.cityofnewyork.us/d/g2t5-u7v8], Projection of Cash Source and Use [https://data.cityofnewyork.us/d/exez-mxv4], Headcount Actuals By Funding Source [https://data.cityofnewyork.us/d/dcjb-es8v], COVID-19 Loan/Grant Report (Historical) [https://data.cityofnewyork.us/d/buv4-at34], COVID-19 Expenditures Report (Historical) [https://data.cityofnewyork.us/d/thut-5mdg], CDBG-DR Program Categories [https://data.cityofnewyork.us/d/js7p-g9f6], Expense Financial Plan - Qtr1 [https://data.cityofnewyork.us/d/sqmu-2ixd], Expense Budget--Debt Service Statement II [https://data.cityofnewyork.us/d/77zj-y2i9], NYC Climate Budgeting Report: Forecast of Emissions and PM 2.5 Reductions from City Actions [https://data.cityofnewyork.us/d/3z69-v9cd], NYC Floating Rate Exposure [https://data.cityofnewyork.us/d/y4pq-zdn5], Capital Plan Funding Source [https://data.cityofnewyork.us/d/4utb-pisg], Expense Financial Plan - Exec [https://data.cityofnewyork.us/d/x5tk-fa54], Expense Budget [https://data.cityofnewyork.us/d/mwzb-yiwb], Full-Time And Full-Time Equivalent Staffing Levels [https://data.cityofnewyork.us/d/2t2c-qih9], Capital Commitment Actuals [https://data.cityofnewyork.us/d/8u85-k342], Financial Plan Statements - Revenue and Obligation Forecast [https://data.cityofnewyork.us/d/fpfg-qx2w], Asset Management Executive Summary - Agency Assets by Project Type and Class [https://data.cityofnewyork.us/d/xdzg-dnpg], Expense Actuals By Funding Source [https://data.cityofnewyork.us/d/nrik-v7ws], New York City Employment Forecast [https://data.cityofnewyork.us/d/nsk4-4pvs], New York City Settlement Payments [https://data.cityofnewyork.us/d/d7pv-3qwq], Full-Time and FTE Headcount including Covered Organizations [https://data.cityofnewyork.us/d/84ax-hg3y], Expense Budget--Miscellaneous Expense by Category [https://data.cityofnewyork.us/d/fdgu-y9iy], NYC Climate Budgeting Report: Resiliency Exposure Inventory [https://data.cityofnewyork.us/d/dpq6-sy7w], Register of Community Board Budget Requests [https://data.cityofnewyork.us/d/vn4m-mk4t], Debt Affordability Statement Schedules [https://data.cityofnewyork.us/d/bd8j-m46a], Contract Budget by Category [https://data.cityofnewyork.us/d/h59m-jnyu], State of Good Repair Needs [https://data.cityofnewyork.us/d/vck7-ujai], CDBG-DR Reimbursements Over Time [https://data.cityofnewyork.us/d/38pn-tyf4], Projected Citywide Energy Cost [https://data.cityofnewyork.us/d/tyv9-j3ti], Revenue Budget & Financial Plan--Qtr1 [https://data.cityofnewyork.us/d/vf4p-p8ui], NYC Climate Budgeting Report: Climate Funding Expense Highlights [https://data.cityofnewyork.us/d/5bsb-haw5], Financial Plan Statements - Capital Cashflow [https://data.cityofnewyork.us/d/4xfc-mzbg], NYC Climate Budgeting Report: Resiliency Exposure Forecast - Coastal Flooding [https://data.cityofnewyork.us/d/7n9x-tbtd], Capital Project Detail Data - Dollars [https://data.cityofnewyork.us/d/wa2y-rh4b], Expense Budget Funding - All Source [https://data.cityofnewyork.us/d/39g5-gbp3], Revenue Actuals [https://data.cityofnewyork.us/d/qbvv-9nzz], Financial Plan Statements - Cash Flow [https://data.cityofnewyork.us/d/4ubz-8kkx], Asset Management Executive Summary - State of Good Repair Needs (Expense) [https://data.cityofnewyork.us/d/8sea-35e7], COVID-19 Revenue Report (Historical) [https://data.cityofnewyork.us/d/7tpn-47kj], New York City Pension Expenses [https://data.cityofnewyork.us/d/95bz-ea2t], NYC Climate Budgeting Report: Forecasted Avoided Health Events [https://data.cityofnewyork.us/d/v988-8fd7], Debt Burden [https://data.cityofnewyork.us/d/hdie-5bdv], Agency Spending by Budget Function [https://data.cityofnewyork.us/d/gzfs-3h4m], CUNY Community College Expenditures By Source [https://data.cityofnewyork.us/d/wusu-mzmq], Financial Plan Statements - Obligation [https://data.cityofnewyork.us/d/hjjq-k984]

IBO NYC Fiscal History (https://www.ibo.nyc.gov/content/budget-and-finance-data), Checkbook NYC (https://www.checkbooknyc.com/)

Virtual

Class / Training

DATA2GO.NYC: A Data Tool to Understand Well-Being and Need in NYC

How can we use publicly available data to understand well-being, need, and resource gaps in NYC? In this interactive session, Alex Powers, Kate Harvey, and Tara Shawa from Measure of America will demonstrate DATA2GO.NYC, a free, easy-to-use online mapping and data tool. This platform aggregates over 400 indicators from federal, state, and NYC sources, allowing users to explore neighborhood-level insights on everything from health and housing to digital equity. Participants will see firsthand how to use change-over-time views and demographic breakdowns to drive informed decision-making and advocacy in their communities.
This event is designed for anyone interested in leveraging data for social impact. The session will begin with an introduction and overview of the tool’s capabilities, followed by an engaging "Data Bingo" competition. This interactive activity provides hands-on experience, allowing participants to explore the tool in small groups and practice extracting relevant insights in real-time. Whether you are a data novice or a seasoned data deckhand, you will leave with an enhanced ability to set sail on the vast sea of NYC data and better understand the well-being of New Yorkers.

Individuals: Alex Powers, Associate Director, Measure of America; Kate Harvey, Research Analyst, Measure of America; Tara Shawa, Research Analyst, Measure of America | Organizations: Measure of America

2026

DATA2GO.NYC (https://www.data2go.nyc)

Virtual

Demonstration

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Advancing Climate Compliance: How Data Informs & Challenges Building Retrofits and Decarbonization (Local Law 97)

Local Law 97 of 2019 is one of the nation’s most ambitious climate laws, setting carbon emissions limits for most large buildings across New York City. As the first major compliance deadlines take effect, data has become a central driver—shaping how agencies, nonprofits, and building owners understand performance, identify risks, and plan for long-term decarbonization. 

This session brings together experts from city agencies and the private sector partners to explore how open data and public datasets are transforming the city’s approach to building emissions. Speakers from NYC Housing Preservation & Development (HPD), the Department of Buildings (DOB), the Mayor's Office of Climate & Environmental Justice (MOCEJ), and Cadence OneFive will share how their organizations use data to implement the law, monitor energy usage, model carbon impacts, develop compliance services, and design equitable climate strategies.

Professionals, civic technologists, and the general public who are interested in the role of data in climate resiliency, building decarbonization, affordable housing, and climate policy will most benefit from attending this session.

Individuals: Yuki Mitsuda, Manager, Analytics & Data Strategy, NYC Department of Housing Preservation & Development (HPD); Daphna Ezrachi, Manager of Sustainability Programs, NYC Department of Housing Preservation & Development (HPD); Joe Chavez, Director, Sustainable Buildings, NYC Mayor’s Office of Climate & Environmental Justice (MOCEJ); TBD, TBD, NYC Department of Buildings (DOB); Marc Zuluaga, Co-Founder, Cadence OneFive

2026

Local Law 84 Monthly Data (Calendar Year) [https://data.cityofnewyork.us/d/fvp3-gcb2], Clean Air Tracking System (CATS) Permits [https://data.cityofnewyork.us/d/f4rp-2kvy]

Virtual

Panel Discussion

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PLUTO and City of Yes: How NYC Planning turns legislation into data

City of Yes for Housing Opportunity is a city-wide zoning text amendment that addresses New York City’s housing crisis by making it possible to build a little more housing in every neighborhood. It was adopted by the City Council in December 2024 and is already being put to use to create homes across all five boroughs.

How do legislative changes translate to data changes? How can new and old zoning tools be reflected in land use data? What do people need to know about the City’s tax lots to make informed decisions?

In this session, the Data Engineering team from the NYC Department of City Planning (DCP) will share how the agency added new fields to one of it’s most popular datasets: PLUTO. New fields about Mandatory Inclusionary Housing (MIH) and transit zones will soon be available in PLUTO to give data users a more complete picture of the City’s zoning and land use.

DCP subject matter experts in zoning, housing, and transportation worked with engineers to understand the relevant Zoning Resolution text, the intentions of City of Yes amendments, and the data necessary to relate them to every tax lot in the City. Attendees will learn about the processes, decisions, and surprises that have been a part of this journey through legislation, code, and open data.

Individuals: Damon McCullough, Data Engineer, NYC Department of City Planning; Alex Richey, Data Engineer, NYC Department of City Planning | Organizations: NYC Department of City Planning

2026

Primary Land Use Tax Lot Output (PLUTO) [https://data.cityofnewyork.us/d/64uk-42ks], Mandatory Inclusionary Housing [https://data.cityofnewyork.us/d/m79g-k9r4], Transit Zones [https://data.cityofnewyork.us/d/6ztr-wgff]

Virtual

Presentation

Tracking NYC Trash: Using Open Data to Understand and Improve the City’s Waste System

Every trash bag on the curb tells a story about what we buy, what we waste, and how our city works behind the scenes to manage it all. Yet for most New Yorkers, what happens to our trash after collection remains largely invisible. This session pulls back the curtain, showing how publicly available data can help residents better understand New York City’s waste system and use that knowledge to push for smarter, fairer, and more sustainable solutions. Led by the volunteer team behind Track NYC Trash — a project of the Brooklyn and Manhattan Solid Waste Advisory Boards — this session explores how open data can become a powerful tool for understanding waste management across the five boroughs.

Participants will receive a guided, hands-on demonstration of the Track NYC Trash dashboards, which translate complex datasets from the NYC Department of Sanitation and other agencies into clear, accessible visuals. Using sources such as DSNY’s Monthly Tonnage Data, the 2023 Waste Characterization Study, and Census-based population figures, this session will highlight key trends in recycling, composting, waste export, and neighborhood-level performance. Attendees will learn how to interpret these numbers, connect them to everyday experience, and use them to better understand whether the City is meeting its stated waste and climate goals.

Designed for residents, advocates, students, journalists, public servants, and curious neighbors, this event welcomes anyone who cares about their community and wants better information to support meaningful change. No technical background is required. Participants will leave with practical tools to engage in data-informed advocacy — and with a deeper sense of how open data can help build a cleaner, more transparent, and more accountable New York City.

Individuals: Jason Ginsberg, Board Member, Brooklyn Solid Waste Advisory Board; William Klimpert, Board Member, Manhattan Solid Waste Advisory Board; Ezra Undag, Board Member, Manhattan Solid Waste Advisory Board | Organizations: Brooklyn Solid Waste Advisory Board, Manhattan Solid Waste Advisory Board

2026

DSNY Disposal Facilities Used by Year [https://data.cityofnewyork.us/d/6r9j-qrwz], DSNY Districts With Disposal Vendor Assignments [https://data.cityofnewyork.us/d/fpv2-r9br], DSNY Waste Characterization 2023 - Main Sort Results [https://data.cityofnewyork.us/d/bpea-2i5q], DSNY Monthly Tonnage Data [https://data.cityofnewyork.us/d/ebb7-mvp5]

Virtual

Demonstration

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NYC Agency Maps, Tools, & Geospatial Data for 2026

New York City agencies create and publish a huge volume of geospatial data each year. They use Geographic Information Systems (GIS) – computer-based tools to store, visualize, and analyze this geographic data. This panel will review publicly-available tools and datasets, discuss the state of GIS technology in the city, and consider how the City uses geospatial data to serve NYC residents.  Join this conversation with agency GIS leaders about new maps & tools, geospatial data, and initiatives for 2026.

Moderator: Lee Ilan, NYC Mayor's Office of Environmental Remediation
Panelists:
Josh Friedman, NYC Emergency Management
Matt Croswell, NYC Department of City Planning
Adam Barin, NYC Mayor's Office of Operations

Individuals: Lee Ilan, Chief of Planning, Mayor's Office of Environmental Remediation; Adam Barin, Manager of Strategy and Analytics, Mayor's Office of Operations; Joshua Friedman , Executive Director, GIS
, NYC Emergency Management; Matthew Croswell , GIS Team Lead , NYC Department of City Planning | Organizations: Mayor's Office of Environmental Remediation, Mayor's Office of Operations, NYC Emergency Management, NYC Department of City Planning

2026

Virtual

Panel Discussion

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Open Data about Mobility

In this whirlwind session, the Metropolitan Transportation Authority (MTA) and NYC Department of Transportation (DOT) will take you through a tour of the datasets made available through their agencies' respective open data programs, and highlight opportunities for analysis that combine datasets from their separate open data portals.
 
Highlighted datasets include, but are not limited to, pedestrian volumes, bus speeds, and vehicle counts (citywide, from the DOT, and entries to the congestion relief zone, from the MTA). We’ll cover how the data is collected, why the data matters, and interesting things you can find in the datasets.

Come ready to take notes on interesting datasets you may want to use later in a project. You'll leave the session inspired and ready to take on a new analytics project using open data about mobility!

Individuals: Lisa Mae Fiedler, Manager, Open Data, Metropolitan Transportation Authority; Alec Bardey, Mobility Data Program Lead, NYC Department of Transportation; Esteban Doyle, Senior Planning Coordinator, NYC Department of Transportation; Mark Seaman, Senior Economist, Policy Unit, NYC Department of Transportation; Jaspreet Lal, Graduate Intern, Open Data, Metropolitan Transportation Authority | Organizations: Metropolitan Transportation Authority, NYC Department of Transportation

2026

Outdoor Learning - Streets Locations Map (Historical) [https://data.cityofnewyork.us/d/u3t3-74n4], Citywide Mobility Survey - Survey Zones (Map) [https://data.cityofnewyork.us/d/4xfb-z29j], WalkNYC Base Map Data 2017 [https://data.cityofnewyork.us/d/utnf-u4xf], Citywide Mobility Survey - Household 2022 [https://data.cityofnewyork.us/d/dt3g-khpi], WalkNYC Sign Locations [https://data.cityofnewyork.us/d/q49j-2bun], Holiday Construction Embargo- Intersection [https://data.cityofnewyork.us/d/jr6f-nsuv], Curb Metal Protruding Data [https://data.cityofnewyork.us/d/i2y3-sx2e], Street Pavement Ratings [https://data.cityofnewyork.us/d/6yyb-pb25], Municipal Parking Facilities (Manhattan) [https://data.cityofnewyork.us/d/i8d5-5ciu], Bi-Annual Pedestrian Counts [https://data.cityofnewyork.us/d/cqsj-cfgu], VZV Signal Timing/25MPH Signal Retiming [https://data.cityofnewyork.us/d/g5vn-nwqt], VZV Vision Zero View Data [https://data.cityofnewyork.us/d/v7f4-yzyg], VZV Enhanced Crossings [https://data.cityofnewyork.us/d/6ax4-q5k4], VZV Street Improvement Projects (SIP) Corridor [https://data.cityofnewyork.us/d/if4c-w48d], EZ Pass Readers 2021-July 2024 [https://data.cityofnewyork.us/d/erdf-2akx], VZV Hands-On Safety Demos [https://data.cityofnewyork.us/d/dq7m-xn5i], Sidewalk Correspondences [https://data.cityofnewyork.us/d/bheb-sjfi], Borough Engineering Tracking System [https://data.cityofnewyork.us/d/4twk-9yq2], VZV Priority Intersections [https://data.cityofnewyork.us/d/tmt9-43em], Special Traffic Updates [https://data.cityofnewyork.us/d/t4s6-khpm], Staten Island Ferry Schedule - General Transit Feed Specification (GTFS) [https://data.cityofnewyork.us/d/b57i-ri22], Sidewalk Weekly Construction Schedule [https://data.cityofnewyork.us/d/r528-jcks], City Bench Locations (Historical) [https://data.cityofnewyork.us/d/kuxa-tauh], Street Resurfacing Schedule [https://data.cityofnewyork.us/d/xnfm-u3k5], Bikes in Buildings Requests [https://data.cityofnewyork.us/d/scjj-6yaf], Street Sign Work Orders [https://data.cityofnewyork.us/d/qt6m-xctn], Holiday Construction Embargo- Intersection (Map) [https://data.cityofnewyork.us/d/pkey-4ytr], Bicycle Counters (Historical) [https://data.cityofnewyork.us/d/smn3-rzf9], Citywide Mobility Survey - Day 2022 [https://data.cityofnewyork.us/d/5njs-bq3c], Municipal Parking Facilities (Brooklyn) [https://data.cityofnewyork.us/d/evdj-a5z2], Sidewalk Dismissal Inspection Tracking [https://data.cityofnewyork.us/d/p4u2-3jgx], Carshare Locations - Municipal Garages and Lots [https://data.cityofnewyork.us/d/j4y5-w7iq], VZV Senior Centers [https://data.cityofnewyork.us/d/xu8q-aip5], Parking Regulation Locations and Signs [https://data.cityofnewyork.us/d/nfid-uabd], VZV Town Hall Meetings [https://data.cityofnewyork.us/d/efiz-8kvg], Bus Lanes - Local Streets (Map) [https://data.cityofnewyork.us/d/rx8t-6euq], EZ Pass Readers - Local Street Traffic Speeds (Midtown in Motion) [https://data.cityofnewyork.us/d/ume6-8kxp], Pedestrian Ramp - Program Progress (Map) [https://data.cityofnewyork.us/d/r94j-3cph], Open Streets Locations (Map) [https://data.cityofnewyork.us/d/6vys-sfk5], Concrete/Hardware Weekly Repair Schedule [https://data.cityofnewyork.us/d/78sp-6jhj], Street Pavement Ratings (Map) [https://data.cityofnewyork.us/d/h933-akrx], VZV Safe Streets For Seniors [https://data.cityofnewyork.us/d/eymt-yinc], VZV Leading Pedestrian Interval Signals [https://data.cityofnewyork.us/d/xc4v-ntf4], Seating Locations [https://data.cityofnewyork.us/d/esmy-s8q5], VZV Safe Streets for Seniors [https://data.cityofnewyork.us/d/bsuh-ywiw], Automatic Public Toilets [https://data.cityofnewyork.us/d/7z3a-ched], VZV Bike Priority Areas [https://data.cityofnewyork.us/d/83yx-cgpy], Accessible Pedestrian Signal Locations [https://data.cityofnewyork.us/d/de3m-c5p4], LockerNYC Locations - Pilot Program (Map) [https://data.cityofnewyork.us/d/sstf-x9es], Parking Permit for People with Disabilities (PPPD) - State [https://data.cityofnewyork.us/d/gms8-qcv5], Leaning Bars (Map) [https://data.cityofnewyork.us/d/7w73-8bcz], Carshare Locations - Curbside (Map) [https://data.cityofnewyork.us/d/eph5-4i28], WalkNYC Focus BaseMap 2020 [https://data.cityofnewyork.us/d/7vx2-ffkw], Municipal Parking Facilities (Queens) [https://data.cityofnewyork.us/d/qfxy-c6k3], Street Direction Change Requests (2019 - Present) [https://data.cityofnewyork.us/d/9a6i-gcns], Street Seats (2014 - 2019) [https://data.cityofnewyork.us/d/d83i-6us7], Citywide Mobility Survey - Main Survey 2017 [https://data.cityofnewyork.us/d/dd6w-hnq9], Bicycle Parking Shelters [https://data.cityofnewyork.us/d/dimy-qyej], Street Construction Permits - Cranes [https://data.cityofnewyork.us/d/hcv3-zacv], Over Dimensional Vehicle Permits (ODVP) - Permit Stipulations [https://data.cityofnewyork.us/d/t9iz-i583], Bicycle Counts for East River Bridges (Historical) [https://data.cityofnewyork.us/d/gua4-p9wg], Pedestrian Ramp - Program Progress [https://data.cityofnewyork.us/d/e7gc-ub6z], Street Construction Permits - Fee [https://data.cityofnewyork.us/d/9fnm-j6if], Sidewalk Management Database - All Tree Damage (ATD) [https://data.cityofnewyork.us/d/j6v2-6uxq], Pedestrian Ramp Complaints [https://data.cityofnewyork.us/d/jagj-gttd], Staten Island Ferry Ridership Counts [https://data.cityofnewyork.us/d/6eng-46dm], Exclusive Pedestrian Signal (Barnes Dance) Locations [https://data.cityofnewyork.us/d/8kuj-2n3u], Parking Meters - Citywide Rate Zones [https://data.cityofnewyork.us/d/f72k-2u3b], Taxi and For Hire Vehicle (FHV) Relief Stands (Map) [https://data.cityofnewyork.us/d/udk9-t2yf], Bus Stop Shelters [https://data.cityofnewyork.us/d/t4f2-8md7], VZV Turn Traffic Calming [https://data.cityofnewyork.us/d/hz4p-9f7s], Weekday Traffic Updates [https://data.cityofnewyork.us/d/vihk-m25f], Citywide Low Bridges [https://data.cityofnewyork.us/d/rn6h-i66u], Sidewalk Management Database - Lot Info [https://data.cityofnewyork.us/d/i642-2fxq], Private Ferry Monthly Passenger Counts [https://data.cityofnewyork.us/d/hn6c-5qkb], Staten Island Ferry – Daily Performance Data [https://data.cityofnewyork.us/d/7gic-pibm], Electric Vehicle (EV) Charging Data - Municipal Lots and Garages [https://data.cityofnewyork.us/d/kj7g-u4gp], Parking Meters - Citywide Rate Zones (Map) [https://data.cityofnewyork.us/d/da76-p95d], Protected Streets Intersection (Dataset) [https://data.cityofnewyork.us/d/bryy-vqd9], VZV Street Improvement Projects (SIP) Intersections [https://data.cityofnewyork.us/d/shr7-eqdc], VZV Enhanced Crossings [https://data.cityofnewyork.us/d/bssx-36gg], Shared E-Scooter Parking Corrals [https://data.cityofnewyork.us/d/hjz2-y62k], Citywide Mobility Survey - Vehicle 2022 [https://data.cityofnewyork.us/d/qyry-gwrj], Citywide Mobility Survey - May 2020 [https://data.cityofnewyork.us/d/rb38-kd48], Highway Travel Permit - Annual [https://data.cityofnewyork.us/d/cvys-e4b6], WalkNYC Overview BaseMap 2020 [https://data.cityofnewyork.us/d/7jbq-q7je], NYC DOT Pedestrian Plazas - Point Feature [https://data.cityofnewyork.us/d/5dck-9m6g], Safe Routes to Schools - Priority Schools [https://data.cityofnewyork.us/d/pc34-d3sx], Raised Crosswalk Locations [https://data.cityofnewyork.us/d/uh2s-ftgh], VZV Speed Limits [https://data.cityofnewyork.us/d/5mad-ntua], Citywide Mobility Survey - Household Survey 2019 [https://data.cityofnewyork.us/d/a5rk-jemi], VZV Workshops Locations [https://data.cityofnewyork.us/d/mc8j-n5nw], VZV Arterial Slow Zones [https://data.cityofnewyork.us/d/2i8t-es4u], Bicycle and Pedestrian Count Sensors [https://data.cityofnewyork.us/d/6up2-gnw8], Bicycle Counts (Historical) [https://data.cityofnewyork.us/d/uczf-rk3c], Pedestrian Space Added [https://data.cityofnewyork.us/d/uebm-cmjr], Safety Events [https://data.cityofnewyork.us/d/3vyj-dkjt], Parking Permit for People with Disabilities (PPPD) - City [https://data.cityofnewyork.us/d/gc8d-bnmn], Vehicle Classification Counts (2011 - 2024) [https://data.cityofnewyork.us/d/96ay-ea4r], VZV Outreach Schools [https://data.cityofnewyork.us/d/hein-emv8], Street Construction Permits (2022 - Present) [https://data.cityofnewyork.us/d/tqtj-sjs8], Bus Stop Shelters (Map) [https://data.cityofnewyork.us/d/qafz-7myz], Automated Traffic Volume Counts [https://data.cityofnewyork.us/d/7ym2-wayt], VZV Leading Pedestrian Interval Signals [https://data.cityofnewyork.us/d/mqt5-ctec], VZV Priority Corridors [https://data.cityofnewyork.us/d/kdda-2wcy], DOT Traffic Speeds [https://data.cityofnewyork.us/d/i4gi-tjb9], Open Storefronts Applications (Map) [https://data.cityofnewyork.us/d/bia8-jpx6], Citywide Mobility Survey - Trip Diary 2018 [https://data.cityofnewyork.us/d/kcey-vehy], Citywide Mobility Survey - Person 2022 [https://data.cityofnewyork.us/d/7qdz-u9hr], NYC DOT Pedestrian Plazas (Map) [https://data.cityofnewyork.us/d/fnkv-pyhj], Bridge Ratings [https://data.cityofnewyork.us/d/4yue-vjfc], Bicycle and Pedestrian Counts [https://data.cityofnewyork.us/d/ct66-47at], Street Closures due to Construction Activities by Block [https://data.cityofnewyork.us/d/i6b5-j7bu], VZV Priority Corridors [https://data.cityofnewyork.us/d/36nr-7fbp], Protected Streets Intersection (Map) [https://data.cityofnewyork.us/d/b8yg-sprn], VZV Street Improvement Projects (SIPs) Intersections [https://data.cityofnewyork.us/d/79sh-heg3], Clergy Parking Permits [https://data.cityofnewyork.us/d/bvug-v3mm], Open Storefronts Applications (Historical) [https://data.cityofnewyork.us/d/d54t-ywim], Pedestrian Ramp Locations [https://data.cityofnewyork.us/d/ufzp-rrqu], Serious Injury Response, Tracking & Analysis Program (SIRTA) [https://data.cityofnewyork.us/d/xeqp-qz8h], Weekend Traffic Updates [https://data.cityofnewyork.us/d/qhen-5rve], Uptown Bicycle Counts [https://data.cityofnewyork.us/d/tgzg-ssan], Newsstands [https://data.cityofnewyork.us/d/w9zq-xm8b], LockerNYC Reservations [https://data.cityofnewyork.us/d/inb9-u6nt], VZV Priority Zones or Areas [https://data.cityofnewyork.us/d/qzji-nvbd], Sidewalk Management Database - ReInspection [https://data.cityofnewyork.us/d/gx72-kirf], Street Pothole Work Orders - Closed (Map) [https://data.cityofnewyork.us/d/emex-8upu], Agency Authorized Parking Permits [https://data.cityofnewyork.us/d/a23q-dmjn], Leaning Bars (Historic) [https://data.cityofnewyork.us/d/iaig-3vs5], Highway Travel Permit - Single Use [https://data.cityofnewyork.us/d/qves-4x9c], Traffic Bollards Tracking and Installations [https://data.cityofnewyork.us/d/3f5t-9dqu], Protected Streets - Intersections [https://data.cityofnewyork.us/d/hfa3-euj3], Protected Streets Block (Dataset) [https://data.cityofnewyork.us/d/wyih-3nzf], VZV Priority Intersections [https://data.cityofnewyork.us/d/2nj7-jxah], Traffic Volume Counts (Historical) [https://data.cityofnewyork.us/d/btm5-ppia], Street Network Changes (Historical) [https://data.cityofnewyork.us/d/bymk-vktx], Automatic Public Toilets (Map) [https://data.cityofnewyork.us/d/uzgy-xh4j], VZV Street Team Flyers [https://data.cityofnewyork.us/d/j62s-m9yf], Bicycle Parking [https://data.cityofnewyork.us/d/592z-n7dk], Intercity Bus Stop Permits [https://data.cityofnewyork.us/d/nmue-7zq2], Bicycle Parking (Map) [https://data.cityofnewyork.us/d/bzg2-2abf], Outdoor Learning - Streets Locations (Historical) [https://data.cityofnewyork.us/d/vtjm-ngnu], Pedestrian Ramp Locations (Map) [https://data.cityofnewyork.us/d/u7ws-2dus], Parking Meters - ParkNYC Block Faces [https://data.cityofnewyork.us/d/e7yp-wx55], VZV Neighborhood Slow Zones [https://data.cityofnewyork.us/d/bqye-aqft], Open Streets Locations [https://data.cityofnewyork.us/d/uiay-nctu], Street Closures due to Construction Activities by Block and Intersection [https://data.cityofnewyork.us/d/ezy6-djsf], Municipal Parking Facilities (Staten Island) [https://data.cityofnewyork.us/d/udt3-taj7], Annual Overweight Load (AOL) Permits [https://data.cityofnewyork.us/d/ys48-9d3c], VZV Bike Priority Areas [https://data.cityofnewyork.us/d/ii5c-g6sq], Single Use Parking Permit - On Street [https://data.cityofnewyork.us/d/n55z-cx8y], Street Closures due to Construction Activities by Intersection [https://data.cityofnewyork.us/d/478a-yykk], Street and Highway Capital Reconstruction Projects - Block (Map) [https://data.cityofnewyork.us/d/si9g-fztb], Sidewalk Management Database - Built [https://data.cityofnewyork.us/d/ugc8-s3f6], DOT In-house Street Resurfacing Projects [https://data.cityofnewyork.us/d/ffaf-8mrv], Parking Meters Locations and Status [https://data.cityofnewyork.us/d/693u-uax6], Weigh in Motion (from 2025) [https://data.cityofnewyork.us/d/4fwc-j3vn], Protected Streets - Segments [https://data.cityofnewyork.us/d/9p9k-tusd], Weigh in Motion (Historical) [https://data.cityofnewyork.us/d/n5c8-x7x2], Citywide Mobility Survey - Main Survey 2018 [https://data.cityofnewyork.us/d/jpcp-ic7c], NYC Truck Routes (Historical) [https://data.cityofnewyork.us/d/spax-mybh], Citywide Mobility Survey - Vehicle Survey 2019 [https://data.cityofnewyork.us/d/jxs5-ygaz], Temporary Art Program [https://data.cityofnewyork.us/d/3r2x-bnmj], Highway Sign Installations [https://data.cityofnewyork.us/d/jkdk-6p97], Accessible Pedestrian Signal Locations (Map) [https://data.cityofnewyork.us/d/umfn-twbz], Exclusive Pedestrian Signal (Barnes Dance) Locations (Map) [https://data.cityofnewyork.us/d/mwzy-r7b3], City Bench Locations (Map) [https://data.cityofnewyork.us/d/whjh-s3x7], EZ Pass Readers July 2024- current [https://data.cityofnewyork.us/d/6a2s-2t65], Bike Share Inspections (Historical) [https://data.cityofnewyork.us/d/5uei-swth], VZV Outreach Schools [https://data.cityofnewyork.us/d/53jq-yvwd], Citywide Mobility Survey - Person 2024 [https://data.cityofnewyork.us/d/i2im-iqtt], Bus Lanes - Local Streets [https://data.cityofnewyork.us/d/ycrg-ses3], VZV Speed Humps [https://data.cityofnewyork.us/d/eqxx-j5y8], VZV Street Teams [https://data.cityofnewyork.us/d/g3iw-w5rt], Annual On-Street Parking Permit (AOSPP) [https://data.cityofnewyork.us/d/ue2f-z6i6], VZV Neighborhood Slow Zones [https://data.cityofnewyork.us/d/y4nf-25nw], New York City Bike Routes [https://data.cityofnewyork.us/d/mzxg-pwib], Speed Reducer Tracking System (SRTS) [https://data.cityofnewyork.us/d/9n6h-pt9g], Street Pothole Work Orders - Closed (Dataset) [https://data.cityofnewyork.us/d/x9wy-ing4], Real Time Passenger Information Sign Locations [https://data.cityofnewyork.us/d/g9jx-npbk], New York City Truck Routes (Map) [https://data.cityofnewyork.us/d/wnu3-egq7], VZV Taxi & Car Service Trainings [https://data.cityofnewyork.us/d/gq2c-wem9], New York City Bike Routes (Map) [https://data.cityofnewyork.us/d/9e2b-mctv], Overhead Electronic Signs (Map) [https://data.cityofnewyork.us/d/m6ap-zcwi], Bus Pad Tracking [https://data.cityofnewyork.us/d/eyb2-p5s8], Street Seats (Map) 2014-2019 [https://data.cityofnewyork.us/d/tbmp-nmim], Carshare Locations - Curbside [https://data.cityofnewyork.us/d/wkij-g2bh], Midtown Bicycle Counts [https://data.cityofnewyork.us/d/yusc-bz4f], Citywide Mobility Survey - Trip Diary 2017 [https://data.cityofnewyork.us/d/mpk5-48av], Over Dimensional Vehicle Permits (ODVP) [https://data.cityofnewyork.us/d/as69-ew8f], VZV Speed Limits [https://data.cityofnewyork.us/d/7n5j-865y], Street Construction Permits (2013-2021) [https://data.cityofnewyork.us/d/c9sj-fmsg], Citywide Mobility Survey - Trip Survey 2019 [https://data.cityofnewyork.us/d/w9dc-u4ik], VZV Arterial Slow Zones [https://data.cityofnewyork.us/d/ixwf-56db], Adopted Highway Service Ratings (Adopt-a-Highway/Highway Cleanliness) [https://data.cityofnewyork.us/d/dte3-kvx7], Street Construction Permits - Stipulations (Historical) [https://data.cityofnewyork.us/d/pbk5-6r7z], VZV Street Improvement Projects (SIPs) Corridor [https://data.cityofnewyork.us/d/wqhs-q6wd], Holiday Construction Embargo - Block (Map) [https://data.cityofnewyork.us/d/bbj7-8idq], Pedestrian Mobility Plan Pedestrian Demand [https://data.cityofnewyork.us/d/fwpa-qxaf], Street Construction Inspections and Corrective Action Requests [https://data.cityofnewyork.us/d/ydkf-mpxb], DOT Street Lights and Traffic Signals (311 Service Requests from 2010 to Present) [https://data.cityofnewyork.us/d/jwvp-gyiq], Municipal Parking Facilities (Bronx) [https://data.cityofnewyork.us/d/7xqy-uv7r], Street Travel Permit [https://data.cityofnewyork.us/d/c3kh-heyp], WalkNYC Sign Locations [https://data.cityofnewyork.us/d/ns8x-qshd], Holiday Construction Embargo - Block [https://data.cityofnewyork.us/d/4te8-9n3p], Citywide Mobility Survey - July 2020 [https://data.cityofnewyork.us/d/ijzq-5wy8], Temporary Parking Permit for People with Disabilities - On Street [https://data.cityofnewyork.us/d/gxhb-59kq], VZV Hands-On Safety Demos [https://data.cityofnewyork.us/d/mtj6-vmci], VZV Speed Humps [https://data.cityofnewyork.us/d/jknp-skuy], VZV Signal Timing/25MPH Signal Retiming [https://data.cityofnewyork.us/d/d8dp-wfee], Street and Highway Capital Reconstruction Projects - Intersection [https://data.cityofnewyork.us/d/97nd-ff3i], Commissioner's Correspondence [https://data.cityofnewyork.us/d/b4mf-rg6h], Protected Streets Block (Map) [https://data.cityofnewyork.us/d/i3na-cf9d], Citywide Mobility Survey - October 2020 [https://data.cityofnewyork.us/d/3mpc-kqwk], VZV Taxi & Car Service Training Locations [https://data.cityofnewyork.us/d/7i33-iphh], Citywide Mobility Survey - Trip 2022 [https://data.cityofnewyork.us/d/x5mc-2gmi], Parking Meters Locations and Status (Map) [https://data.cityofnewyork.us/d/mvib-nh9w], New York City Truck Routes [https://data.cityofnewyork.us/d/jjja-shxy], Parking Meters - ParkNYC Block Faces (Map) [https://data.cityofnewyork.us/d/s7zi-dgdx], Traffic Signal and All-Way Stop Study Requests [https://data.cityofnewyork.us/d/w76s-c5u4], VZV Turn Traffic Calming [https://data.cityofnewyork.us/d/sm2x-35i7], Pedestrian Mobility Plan Pedestrian Demand - (Map) [https://data.cityofnewyork.us/d/c4kr-96ik], Commercial Bicycle Unit Inspections [https://data.cityofnewyork.us/d/tg3t-nh4h], Street Seats (2021 - 2024) [https://data.cityofnewyork.us/d/5ar6-qxhs], VZV Priority Zones or Areas [https://data.cityofnewyork.us/d/n4hs-fahn], Open Restaurants Inspections [https://data.cityofnewyork.us/d/4dx7-axux], NYC Bridge Strike Data [https://data.cityofnewyork.us/d/jdn9-td9w], Street and Highway Capital Reconstruction Projects - Block [https://data.cityofnewyork.us/d/jvk9-k4re], NYC DOT Pedestrian Plazas - Point Feature (Map) [https://data.cityofnewyork.us/d/s8x5-ashy], Real Time Passenger Information Sign Locations (Map) [https://data.cityofnewyork.us/d/2haw-rqv4], Street Network Changes [https://data.cityofnewyork.us/d/as9z-kwsh], Citywide Mobility Survey - Day Survey 2019 [https://data.cityofnewyork.us/d/x5ra-hhdw], Agency Business Parking Permit (ABPP) [https://data.cityofnewyork.us/d/a8cg-cxa6], Carshare Locations - Municipal Garages and Lots (Map) [https://data.cityofnewyork.us/d/2y2t-x83x], Citywide Mobility Survey - Person Survey 2019 [https://data.cityofnewyork.us/d/6bqn-qdwq], Citywide Mobility Survey - Vehicle 2024 [https://data.cityofnewyork.us/d/qhkz-4dqm], Brooklyn Bridge Automated Pedestrian Counts Demonstration Project (Historic) [https://data.cityofnewyork.us/d/6fi9-q3ta], VZV Town Hall Locations [https://data.cityofnewyork.us/d/n47m-7kn5], Sidewalk Management Database - Inspection [https://data.cityofnewyork.us/d/dntt-gqwq], Seating Locations (Map) [https://data.cityofnewyork.us/d/3qgi-jrgw], Newsrack Inspections [https://data.cityofnewyork.us/d/aizm-q3sx], Newsstands (Map) [https://data.cityofnewyork.us/d/kfum-nzw3], NYC DOT Pedestrian Plazas - Polygon [https://data.cityofnewyork.us/d/k5k6-6jex], Recoupment for Damaged City-owned Property [https://data.cityofnewyork.us/d/68k5-hdzw], Annual Overweight Load (AOL) Permits Stipulations [https://data.cityofnewyork.us/d/9ibi-dfnm], Sidewalk Management Database - Violations [https://data.cityofnewyork.us/d/6kbp-uz6m], Encroachments and Defacements [https://data.cityofnewyork.us/d/kyvb-rbwd], Overhead Electronic Signs [https://data.cityofnewyork.us/d/yhdx-itry], 9/11 Authorized Bus Parking Permit [https://data.cityofnewyork.us/d/vpeq-ndkd], Citywide Mobility Survey - Day 2024 [https://data.cityofnewyork.us/d/naav-ygga], Street Name Signs Work Orders (Historical) [https://data.cityofnewyork.us/d/guiy-frxt], VZV Senior Centers [https://data.cityofnewyork.us/d/fcnc-95cn], VZV Workshops Locations [https://data.cityofnewyork.us/d/gtdx-4w36], Step Streets Locations [https://data.cityofnewyork.us/d/u9au-h79y], Citywide Mobility Survey - Trip 2024 [https://data.cityofnewyork.us/d/wgnh-qwsg], Bi-Annual Pedestrian Counts (Map) [https://data.cityofnewyork.us/d/2de2-6x2h], Citywide Mobility Survey - Household 2024 [https://data.cityofnewyork.us/d/5mb3-padx], Bicycle Parking Shelters (Map) [https://data.cityofnewyork.us/d/thbt-gfu9], Bridge Hold Location Stipulations [https://data.cityofnewyork.us/d/ge3f-inui], Open Restaurant Applications (Historic) [https://data.cityofnewyork.us/d/pitm-atqc], LockerNYC Locations - Pilot Program [https://data.cityofnewyork.us/d/p36g-evi5], Street Construction Permits - Stipulations (2020 - Present) [https://data.cityofnewyork.us/d/gsgx-6efw], Street Construction Permits - Related Agency [https://data.cityofnewyork.us/d/cj3v-xdpd], Taxi and For Hire Vehicle (FHV) Relief Stands [https://data.cityofnewyork.us/d/vqu8-xef9], Street and Highway Capital Reconstruction Projects - Intersection (Map) [https://data.cityofnewyork.us/d/3zy2-a8eg], Citywide Mobility Survey - Survey Zones [https://data.cityofnewyork.us/d/sx7h-iavd]

Metropolitan Transportation Authority Open Data (https://data.ny.gov/browse?sortBy=relevance&pageSize=20&Dataset-Information_Agency=Metropolitan+Transportation+Authority)

Virtual

Exhibition

{"url":"https://youtu.be/qrYHNzVmA3U","description":"https://youtu.be/qrYHNzVmA3U"}

Exploring an Independent Perspective on Emergency Response Times

The NYC Independent Budget Office (IBO) aims to enhance understanding of New York City’s budget, public policy, and economy through independent, data-driven analysis. In this event, IBO Budget and Policy Analyst Valerie Gudino will showcase how Open Data can be used to analyze and visualize fiscal years 2014-2024 citywide ambulance response times. Valerie will walk through how emergency response and dispatch data can be leveraged to examine patterns in emergency medical response by borough and citywide. This event is ideal for anyone interested in public safety, emergency response or data visualization. Valerie will present the report findings and conclude with a Q&A session.

Individuals: Valerie Gudino, Budget and Policy Analyst , NYC Independent Budget Office (IBO) | Organizations: NYC Independent Budget Office

2026

EMS Incident Dispatch Data [https://data.cityofnewyork.us/d/76xm-jjuj]

Virtual

Presentation

{"url":"https://www.youtube.com/watch?v=DlWTjey_fHA","description":"https://www.youtube.com/watch?v=DlWTjey_fHA"}

Teaching with NYC Open Data: Publishing Student Civic Research Through Reproducible Workflows

This session showcases the Brooklyn College Open Data Student Gallery, a publicly available resource featuring original civic research projects conducted by graduate students at Brooklyn College. Developed as part of a reproducible research curriculum, students used real NYC Open Data datasets to investigate questions that mattered to them — from public safety and housing trends to environmental and social issues affecting New Yorkers. Using R, Quarto, and the open-source nycOpenData package, each student produced a fully reproducible research chapter that is now published as part of an open educational resource. The gallery can be explored here:
https://martinezc1-nyc-open-data-student-gallery.share.connect.posit.cloud/

The session will begin with a brief overview of how NYC Open Data was integrated into the classroom and how students moved from research question to public-facing publication. The majority of the session will feature short lightning talks from participating students, each presenting their project, dataset, analysis approach, and key findings. Attendees will gain insight into how real civic datasets can be used in higher education to build technical skills, critical thinking, and meaningful public scholarship.

This session is ideal for educators, civic technologists, students, and anyone interested in public data, reproducible research, or innovative teaching approaches. Participants will leave with concrete ideas for incorporating NYC Open Data into their own classrooms or projects — and examples of how student work can move beyond traditional assignments to become lasting, shareable contributions to the civic data ecosystem.

Individuals: Christian Martinez, Author, Brooklyn College, CUNY

2026

DOHMH New York City Restaurant Inspection Results [https://data.cityofnewyork.us/d/43nn-pn8j], NYPD Complaint Data Historic [https://data.cityofnewyork.us/d/qgea-i56i], 311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9], 2015 Street Tree Census - Tree Data [https://data.cityofnewyork.us/d/uvpi-gqnh]

Virtual

Presentation

Build It, Use It, Own It: Making Language Data Work For You

Move from language access awareness to action in this session hosted by the Mayor's Office of Immigrant Affairs, featuring the Department of City Planning (DCP) and CLEAR Global.
See demonstrations of DCP's language data tools—both existing resources and new tools in development—and learn how to put language data to use. Discover CLEAR Global's innovative approaches to building language datasets for humanitarian contexts and crisis response.
Building on the 2025 Open Data Week session "Decoding NYC's Linguistic Diversity," this session equips you with practical frameworks for collecting, analyzing, and applying language data strategically. Perfect for anyone ready to make evidence-based decisions about language access.

Organizations: Mayor's Office of Immigrant Affairs, Department of City Planning, CLEAR Global

2026

Population FactFinder (https://popfactfinder.planning.nyc.gov/#12.25/40.72589/-73.98883), Population MapViewer (https://experience.arcgis.com/experience/c625a78991d34ae59deb7a33806ac0d1/)

Virtual

Panel Discussion

Establishing a Central Data Function at a Public Agency

Using data insights to make decisions is what every organization seeks to do, but there are many reasons why this doesn’t happen in practice: data is hard to find, it is siloed and inaccessible, it is undocumented and difficult to understand, it is too large or complex for the skills and tools available. All these problems existed at MTA and were the motivation for the recent establishment of a central data team, which has the goal of facilitating analytical work for teams all across the company. Standing up such a team is challenging, especially for public sector agencies with many internal and external stakeholders, legacy systems and limited resources. In this talk, Andy Kuziemko, who leads the Data & Analytics team at the MTA, will describe the progress to date at the agency, lessons learned along the way, and the remaining challenges the agency faces.

Individuals: Andrew Kuziemko, Deputy Chief, Data & Analytics, Metropolitan Transportation Authority (MTA) | Organizations: Metropolitan Transportation Authority

2026

Virtual

Presentation

Teaching Google Sheets Functionality to High School Students through Open Data

This is a virtual hands-on workshop where we will dive in on spreadsheet fundamentals using Google Sheets through the lens of teaching virtual high school students. Participants who are new to spreadsheets and to those with intermediate skills are encouraged to attend, and those that teach high school students looking for a data lens. Participants will access a shared spreadsheet where we will learn about spreadsheets fundamentals together, and model how these skills can be taught to high school students. We will analyze a data set from NYC Open Data to apply the new functions we learn.

Ethel Khanis teaches high school chemistry and socratic seminar at New York City's first virtual high school.

Individuals: Ethel Khanis, High School Chemistry Teacher, Virtual Innovators Academy

2026

Virtual

Workshop

{"url":"https://youtu.be/VWFtpHqpLqg","description":"https://youtu.be/VWFtpHqpLqg"}

The Newest New Yorkers: How Immigrant Groups Navigate Visa Pathways

New York is a city of immigrants, but its makeup is shaped by U.S. immigration laws. Join Donnise Hurley, a senior geographic analyst at the New York City Department of City Planning, for a preview of the upcoming publication of The Newest New Yorkers, 2026 where she analyzes federal data from the Office of Homeland Security Statistics (OHSS) to reveal the hidden impact of immigration policy on New York City’s demographic landscape. You will receive a snapshot of the lawful permanent resident (i.e., “green card”) categories most used by foreign-born groups during the 2010s and see how these admission patterns have shifted over time. You will also gain clarity on the difference between OHSS administrative data on lawful permanent residents and the more familiar U.S. Census Bureau’s American Community Survey (ACS) data on the characteristics of the foreign-born population overall. Whether you are a New Yorker curious about your community or a researcher, librarian, or policymaker, this talk offers insight into how the law sets the parameters for immigration flows to the city.

Individuals: Donnise Hurley, Senior Geographic Analyst, NYC Department of City Planning

2026

Lawful Permanent Residents by State, County, Country of Birth, and Major Class of Admission (https://ohss.dhs.gov/topics/immigration/lawful-permanent-residents/lpr-state-county-country-birth-and-major-class)

Virtual

Presentation

Data for Disaster Recovery and Resilience: Exploring NYCEM's Hazard History Consequence Tool and Recovery Dashboards

Did you know that NYC Emergency Management (NYCEM) uses data to analyze disasters and their impacts to communities across the five boroughs? This session explores how NYCEM's recovery dashboard assesses disaster damage to identify recovery solutions and funding pathways in real time. The presentation also spotlights NYCEM's Hazard History and Consequence Tool (HHC), a resource that gives City agencies and community partners access to historical data to better understand past hazard events to strengthen future resilience planning.

Individuals: Lexi Peiponen, Recovery Data Program Manager, NYC Emergency Management ; Gabi Medina, Resiliency Planner, NYC Emergency Management | Organizations: NYC Emergency Management

2026

311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9]

Virtual

Presentation

{"url":"https://youtu.be/LniCXSh0_F8?si=IPBG-h5jcMzvFfCH","description":"https://youtu.be/LniCXSh0_F8?si=IPBG-h5jcMzvFfCH"}

NYC Residential Property Sale Insight: Model Improvement and AI Integration

This session explores advanced analysis of NYC residential property sales (2019–2024) using NYC Open Data, with a focus on model improvement and AI integration. Researchers Yue Ru Li and Chunhong Zhao will demonstrate how combining Department of Finance sales data with Department of Buildings permit data can enhance predictive performance. Participants will work through a hands-on Python notebook covering feature engineering, data visualization, and machine learning models, while also learning how an embedded AI assistant can streamline data cleaning, feature generation, and model interpretation.

Individuals: Yue Ru Li, Data Engineer / Scientist, Independent Researcher; Chunhong Zhao, Professor, Tianjin Chengjian University, China

2026

DOB Permit Issuance [https://data.cityofnewyork.us/d/ipu4-2q9a]

Virtual

Demonstration

Youth-Driven Map-Making with Open Data / Maps at MIXI Club

In this session, we present projects from Maps @ MIXI, a mapping club about spatial justice, open data, and critical cartography. Throughout the year, five NYC youth worked on four projects during the club in which they analyzed NYC Open Data and other open data sets like the US Census. The projects span a variety of topics - access to pools, the housing crisis, restaurant hygiene ratings, and youth-targeting police activity. The projects are youth-driven and represent the questions youth bring to open data.

First, this will briefly introduce the Maps @ MIXI club. Then, each youth/team will briefly discuss their project, the motivation behind the work, and the map they created.

Unequal Pool Distribution Around NYC and How It Affects Overall Public Health by Zachary Kiselev
How can we use NYC Open Data to understand whether pool access is unevenly distributed between neighborhoods, and how can this be used as a marker for overall public health?

Using NYC Open Data to Understand the Causes of New York City’s Housing Crisis by Oleksandra Borysova
How can NYC Open Data show why NYC has a housing crisis by looking at vacancy, rents, wages, population changes, transportation, and Airbnb listings?

Predicting Restaurant Hygiene Grades Across New York City by Gab Dechirico and Mariam Khan
In New York City, to what extent do neighborhood socioeconomic indicators and cuisine types predict a restaurant’s likelihood of receiving an “A” hygiene grade, after accounting for inspection frequency and violation patterns?

Policing and Youth: Analyzing Police Stops of Youth in New York City by Wen Chen
How does the racial composition of youth subjected to police stops within 700 feet of NYC public schools differ from the racial composition of youth residing in the surrounding census tracts?

Organizations: Maps @ MIXI Club by Adelphi University

2026

NYC Pool Inspections [https://data.cityofnewyork.us/d/3kfa-rvez], DOHMH New York City Restaurant Inspection Results [https://data.cityofnewyork.us/d/43nn-pn8j], The Stop, Question and Frisk Data [https://data.cityofnewyork.us/d/ftxv-d5ix]

Virtual

Presentation

{"url":"https://www.youtube.com/watch?v=Aep5XZt54EY&list=PLEAvcNuSbEOCv_HGNwjJ51vZEapcAmZNf&index=16","description":"https://www.youtube.com/watch?v=Aep5XZt54EY&list=PLEAvcNuSbEOCv_HGNwjJ51vZEapcAmZNf&index=16"}

The City That Never Sleeps: Forecasting NYC’s Noise Complaints with Bayesian Models

This presentation looks at how everyday noise in New York City changes from neighborhood to neighborhood, across the days of the week during the summer. Using several years of NYC 311 data, it goes beyond simply counting complaints to ask a more practical question: how confident can we be that some areas are actually noisier than others?

Data Engineer Moses McCall will introduce Bayesian modeling in an intuitive, non-technical way, focusing on uncertainty as something we can measure rather than ignore. Interactive maps will be used alongside the analysis to make citywide patterns easy to explore and compare. Finally, the models will be tested against more recent data to see how well these patterns hold up over time, comparing what the models expected with what actually happened.

Individuals: Moses McCall, Data Engineer,

2026

311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9]

Virtual

Presentation

{"url":"https://www.youtube.com/watch?v=mNHFCDyNiro","description":"https://www.youtube.com/watch?v=mNHFCDyNiro"}

PriceWise - A grocery prices database built by and for budget-conscious communities

Food prices are too *&#$ high! 

Everyone 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.

This 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.

Designer 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.

Individuals: Shiva Muthiah, Designer and Developer,

2026

2020 Neighborhood Tabulation Areas (NTAs) [https://data.cityofnewyork.us/d/9nt8-h7nd]

Virtual

Demonstration

What 13 Million 311 Complaints Reveal About New York City's Quality of Life

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.

Participants 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.

This 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.

Individuals: David Tussey, Former Tech Executive,

2026

311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9]

Virtual

Presentation

{"url":"https://youtu.be/0q5r7_MmeJQ","description":"https://youtu.be/0q5r7_MmeJQ"}