Open Data Week Events (2017–Present)

This dataset lists each Open Data Week event and their accompanying datasets, organizers, and (as available) event recording links.

Open Data Week is a annual festival celebrating NYC's public data. Each year draws thousands of New Yorkers to dozens of virtual and in-person events to celebrate NYC’s public data and its community of users in government, academia, advocacy organizations, the news media, tech companies, and any group that uses or benefits from public data.

The festival was started in 2017 as a collaboration between the Mayor's Office of Data Analytics (now the Office of Data Strategy at the NYC Office of Technology and Innovation) and civic technology non-profit BetaNYC. In 2018, the Data Through Design collective started their yearly art exhibition which runs during the festival. The festival also includes BetaNYC's School of Data community conference. For the latest information on the Open Data Week festival, visit opendataweek.nyc.

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Finding Green Spaces: A Model for Tree Planting in NYC 🌳
Event Name: Finding Green Spaces: A Model for Tree Planting in NYC 🌳 • Event Organizers: Individuals: Shawn Ganz, Data & Product Designer, • Festival Year: 2025
Event Name
Finding Green Spaces: A Model for Tree Planting in NYC 🌳
Event Description
Join our virtual event to discover a cutting-edge tool that pinpoints prime tree planting sites across NYC using NYC Open Data. This model empowers NYC Parks foresters to expand the city's green canopy more efficiently. The model leverages datasets such as NYC Parks Tree & Site, NYC DOITT Planimetrics, DOT Traffic Signs, and the DOH Heat Vulnerability Index to drive site selection. Shawn Ganz, Data & Product Designer with NYC Parks, will break down the model’s purpose, methodology, and data foundations while advocating for greater open data access in urban planning. Wrap up the session with an engaging Q&A and discussion on future applications.
Event Organizers
Individuals: Shawn Ganz, Data & Product Designer,
Festival Year
2025
Nyc Open Data Dataset
Street Sign Work Orders [https://data.cityofnewyork.us/d/qt6m-xctn], Parking Regulation Locations and Signs [https://data.cityofnewyork.us/d/xswq-wnv9], DEP Green Infrastructure Map (All Layers) [https://data.cityofnewyork.us/d/h3ce-uahi]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/avBtj7FjydE?si=tMomKdwEwIAStvKy","description":"https://youtu.be/avBtj7FjydE?si=tMomKdwEwIAStvKy"}
Open Data NYC Info Session
Event Name: Open Data NYC Info Session • Event Organizers: DB Lampman, Makerspace NYC • Festival Year: 2019
Event Name
Open Data NYC Info Session
Event Description
The Makerspace NYC in Staten Island has grown since 2013 to become a cultural anchor in the borough, and helped thousands of creative entrepreneurs get their start. Join us on March 7th in celebration of NYC Open Data and Open Data Week where we’ll host a member of the Open Data Team to talk about the Open Data program and give a demo of the NYC Open Data portal, a free data resource for the public: www.nyc.gov/opendata
Event Organizers
DB Lampman, Makerspace NYC
Festival Year
2019
How Far Can Data Take Us in Solving the Housing Crisis?
Event Name: How Far Can Data Take Us in Solving the Housing Crisis? • Event Organizers: Individuals: Janita Chalam, , • Festival Year: 2025
Event Name
How Far Can Data Take Us in Solving the Housing Crisis?
Event Description
How confidently can we predict the impacts of zoning change on housing supply? 
Can we use AI to create novel datasets that may allow us to better understand housing phenomena?
What would it take to model a reality in which we build 1 million housing units?

These were some of the questions that led Janita Chalam to begin their research journey into discovering how open data, statistical modeling, and AI can help us tackle the housing affordability crisis. 

This presentation will walk through what Janita has learned about the variables at play in NYC’s housing landscape and present a statistical analysis of the Bloomberg-era upzonings as a case study in examining the frictions to building more housing in NYC. 

Finally, Janita will propose some ideas for what kind of data and methodologies we might need in order to make bolder claims about what it takes to get us out of the housing crisis. By the end of this talk, we will hopefully have a better understanding of the role that empiricism can and should play in our conversations about housing policy.

This talk is for anyone interested in housing affordability and will not require any expertise in the technologies mentioned. Janita's background is in software engineering and machine learning and they have been conducting this research independently.
Event Organizers
Individuals: Janita Chalam, ,
Festival Year
2025
Other Dataset
PLUTO (https://www.nyc.gov/site/planning/data-maps/open-data/dwn-pluto-mappluto.page), Zoning Application Portal (https://www.nyc.gov/site/planning/data-maps/open-data/dwn-zap.page), Rent Stabilized Building Lists (https://rentguidelinesboard.cityofnewyork.us/resources/rent-stabilized-building-lists/)
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/9H1l2aeklkQ?si=j7xp0JVeDNkIf-1Y","description":"https://youtu.be/9H1l2aeklkQ?si=j7xp0JVeDNkIf-1Y"}
Exploring 311 Data using Open Source Mapping
Event Name: Exploring 311 Data using Open Source Mapping • Event Organizers: Individuals: Nisuka Williams, , • Festival Year: 2025
Event Name
Exploring 311 Data using Open Source Mapping
Event Description
Have you ever tried working with the 311 dataset available on Open Data? Notice how it's very, very big? Notice that it's so big that you are limited to showing only 1000 rows of data? Join us for our presentation, where we demonstrate some workarounds for this limitation. Join Nisuka Williams, recent graduate of Columbia University, as she explores how to create a webmap using Open Data APIs, specifically 311 Complaints. Using HTML, CSS, and JavaScript, this presentation will demonstrate ways to filter the data in the front end to display the data. No prerequisites are required to attend, though knowledge of front-end coding is a plus. If you'd like to try this yourself, all the code is available on GitHub.
Event Organizers
Individuals: Nisuka Williams, ,
Festival Year
2025
Nyc Open Data Dataset
311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/ebTRjYXvdMw?si=nd4lH0hVSl0SLX1j","description":"https://youtu.be/ebTRjYXvdMw?si=nd4lH0hVSl0SLX1j"}
Public Websites, Public Data: Public Pulse Mining with AI to Improve Local Engagement
Festival Year: 2025 • Event Type: Virtual • Event Format: Other
Event Name
Public Websites, Public Data: Public Pulse Mining with AI to Improve Local Engagement
Event Description
Join us as we share lessons learned from applying GenAI and Natural Language Processing (NLP) to alternative data sources! We'll walk through a project where we used Public Pulse Mining to evaluate how the public engages with our agency’s construction projects and better understand local stakeholder priorities and perceptions.

Then, we’ll dive into an interactive prompt engineering exercise using our master prompt templates for structuring unstructured data. You’ll gain practical takeaways on using AI for public engagement, including how to extract insights from free-text datasets like NYC public meeting YouTube transcripts, 311 feedback, and consumer complaints.

This session is open to all audiences, regardless of technical background. We’ll also share open-source tools and scripts on GitHub so you can apply these methods to your own datasets!
Event Organizers
Individuals: Isabel Metzger, Senior Data Scientist, General Services Administration Analytics and Decision Support Division; Shaun Golding, Senior Evaluator, General Services Administration Office of Evaluation Sciences
Festival Year
2025
Nyc Open Data Dataset
Public feedback on 311 request/complaint types [https://data.cityofnewyork.us/d/7ffd-6gs9]
Event Type
Virtual
Event Format
Other
Recording Link
{"url":"https://youtu.be/s6WDcbWIXck?si=GpB_4HIhOYAjV56X","description":"https://youtu.be/s6WDcbWIXck?si=GpB_4HIhOYAjV56X"}
Decoding NYC’s Linguistic Diversity
Event Name: Decoding NYC’s Linguistic Diversity • Festival Year: 2025 • Event Type: Virtual
Event Name
Decoding NYC’s Linguistic Diversity
Event Description
Explore how New York City—home to speakers of over 700 languages—can use data to improve language access for all residents. This collaborative workshop brings together experts from the Department of City Planning, the Department for the Aging, and the Endangered Language Alliance to demonstrate practical applications of language data analysis.
Learn how targeted data collection and analysis helps identify community-specific language needs, ensuring all New Yorkers can meaningfully access services and information. See real examples of how this data drives policy decisions and improves community engagement.
Event Organizers
Organizations: Mayor's Office of Immigrant Affairs, Department of City Planning, Department for the Aging, Endangered Language Alliance
Festival Year
2025
Other Dataset
Census ACS (Population FactFinder - DCP) (https://popfactfinder.planning.nyc.gov/#12.25/40.72589/-73.98883), Language of NYC (ELA) (https://languagemap.nyc/)
Event Type
Virtual
Event Format
Panel Discussion
Recording Link
{"url":"https://youtu.be/EAluZI5b4Eo?si=XAeBw2i1IYscgEck","description":"https://youtu.be/EAluZI5b4Eo?si=XAeBw2i1IYscgEck"}
Mapping Iconic NYC Sandwiches: scrapping, geocoding, and sharing a map of the NYT Top 57 …
Event Organizers: Individuals: Daniel DeWitz, , • Festival Year: 2025 • Event Type: Virtual
Event Name
Mapping Iconic NYC Sandwiches: scrapping, geocoding, and sharing a map of the NYT Top 57 Sandwiches
Event Description
Sandwiches are my passion. When the New York Times unveiled its list of 57 sandwiches that define New York City, I wanted to try them all. The problem: the NYT list only provides sandwich names and restaurant addresses. Determining if I’m near an iconic sandwich requires scrolling, reading, and flipping between the list and Google Maps. The solution: I need a sandwich map!

In this workshop, we will develop a shareable, interactive, web-based sandwich map using basic Python coding, Google Maps, and GitHub pages.
Event Organizers
Individuals: Daniel DeWitz, ,
Festival Year
2025
Other Dataset
57 Sandwiches That Define New York City (https://www.nytimes.com/interactive/2024/dining/best-nyc-sandwiches.html)
Event Type
Virtual
Event Format
Workshop
Recording Link
{"url":"https://youtu.be/9tEswl9UlE4?si=By6uaLSbobtsr9qX","description":"https://youtu.be/9tEswl9UlE4?si=By6uaLSbobtsr9qX"}
Using 311 Data During the Response and Recovery Cycles of an Emergency
Event Name: Using 311 Data During the Response and Recovery Cycles of an Emergency • Festival Year: 2025 • Event Type: Virtual
Event Name
Using 311 Data During the Response and Recovery Cycles of an Emergency
Event Description
As an agency, NYC Emergency Management (NYCEM), is responsible for coordinating citywide emergency planning and response for all types and scales of emergencies. 311 data is a valuable reporting resource in both the response and recovery cycles of a disaster.
This virtual presentation will explore:
- The types of reporting products produced at NYCEM for different disaster cycles.
- A technical overview of our data collection process and data pipeline. 
- The important role 311 data plays in different cycles of an emergency.
Event Organizers
Individuals: Anna Prince, Data Analytics and Visualization Program Manager, NYCEM; Jason Phillips, Community Recovery and Resiliency Planner, NYCEM | Organizations: NYC Emergency Management
Festival Year
2025
Nyc Open Data Dataset
311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9], 311 Call Center Inquiry [https://data.cityofnewyork.us/d/wewp-mm3p]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://www.youtube.com/watch?v=T5u3MmXlpMA","description":"https://www.youtube.com/watch?v=T5u3MmXlpMA"}
Can open data help Bed Stuy and beyond
Event Name: Can open data help Bed Stuy and beyond • Event Organizers: Ralph Yozzo, 500 Men Making a Difference • Festival Year: 2019
Event Name
Can open data help Bed Stuy and beyond
Event Organizers
Ralph Yozzo, 500 Men Making a Difference
Festival Year
2019
Using Open Data to Support Your Park
Event Name: Using Open Data to Support Your Park • Event Organizers: NYC Parks Open Data Team, NYC Parks • Festival Year: 2019
Event Name
Using Open Data to Support Your Park
Event Organizers
NYC Parks Open Data Team, NYC Parks
Festival Year
2019
A New Vision for MapPLUTO
Event Name: A New Vision for MapPLUTO • Event Organizers: Lynn Seirup, DCP • Festival Year: 2019
Event Name
A New Vision for MapPLUTO
Event Organizers
Lynn Seirup, DCP
Festival Year
2019
Map the Gap: Using Data to Visualize Emergency Food Need in NYC
Event Name: Map the Gap: Using Data to Visualize Emergency Food Need in NYC • Festival Year: 2025 • Event Type: Virtual
Event Name
Map the Gap: Using Data to Visualize Emergency Food Need in NYC
Event Description
Annually, NYC Community Based Organizations and the City government work to supply millions of pounds of food directed toward people in need through the Community Food Connection Program [link - https://www.nyc.gov/site/foodpolicy/programs/emergency-food.page]. 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. [link - https://www.nyc.gov/site/foodpolicy/reports-and-data/supply-gap.page]. 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 the NYC Mayor's Office of Food Policy, this session will include guests 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 others 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.
Event Organizers
Individuals: Ora Kemp, Senior Policy Advisor, NYC Mayor's Office of Food Policy; Claire Reynolds, Data Scientist, NYC Mayor's Office for Economic Opportunity; Adam Santos, Senior Data Scientist, NYC Mayor's Office for Economic Opportunity; Tara Walker, Regional Coordinator, Human Resources Administration - CFC
Festival Year
2025
Other Dataset
Emergency Food Supply Gap (https://www.nyc.gov/site/foodpolicy/reports-and-data/supply-gap.page)
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/aEYeruw-gQU?si=e4Lj2hHzZKa2jF6n","description":"https://youtu.be/aEYeruw-gQU?si=e4Lj2hHzZKa2jF6n"}
Bridging Open Data and Local Impact: Customized Dashboards for NYC Decision-Making
Festival Year: 2025 • Event Type: Virtual • Event Format: Presentation
Event Name
Bridging Open Data and Local Impact: Customized Dashboards for NYC Decision-Making
Event Description
This session unveils two dashboards developed by the New York City Council Data team to transform large public datasets into accessible, actionable tools for the City Council. The CouncilCount and Max311 dashboards use data from the U.S. Census and NYC’s 311 Service Requests to offer insights tailored to the unique needs of each Council District.

Join us if you're curious about creating dashboards for the public good, transforming large datasets into simple visuals, and delivering insights to decision-makers.

During this event, we will walk attendees through the dashboard development process. The CouncilCount dashboard provides demographic, socioeconomic, and other census data, curated specifically to help Council members better understand and serve their communities. Max311, on the other hand, leverages 311 Service Requests to track and analyze trends in community concerns, complaints, and issues reported by district.

The event will be a mix of presentation, live demo, and Q&A. We’ll start with an overview of the Council’s goals and challenges around public data, followed by a walkthrough of each dashboard. After demonstrating specific use cases, we’ll open the floor to questions and discussion on using open data for local government insights.
Event Organizers
Individuals: Nick Montalbano, Senior Data Scientist, New York City Council; Rachel Avram, Data Scientist, New York City Council; Reese Hirota, Data Scientist, New York City Council; Rose Martinez, Assistant Deputy Director, New York City Council | Organizations: NYC Council Data Team
Festival Year
2025
Nyc Open Data Dataset
311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/SMekP7Q3E2g?si=69fAB-8vWF3bFM_H","description":"https://youtu.be/SMekP7Q3E2g?si=69fAB-8vWF3bFM_H"}
NYC Health Department Health Data Tour
Event Name: NYC Health Department Health Data Tour • Event Organizers: Organizations: New York City Department of Health and Mental Hygeine • Festival Year: 2025
Event Name
NYC Health Department Health Data Tour
Event Description
The Health Department provides interactive visualization tools, downloadable datasets, and rigorous research on New Yorkers’ health. Learn how to use these resources to support your own research, and to inform advocacy, programming, and policy.
Resources covered include:
* EpiQuery
* Environment and Health Data Portal               
* Community Health Profiles
* NYC Open Data datasets from the Health Department
* Data pages on Covid-19 and Vital Statistics
Event Organizers
Organizations: New York City Department of Health and Mental Hygeine
Festival Year
2025
Other Dataset
Epiquery (https://a816-health.nyc.gov/hdi/epiquery/), Community Health Profiles (https://a816-health.nyc.gov/hdi/profiles/), Environment & Health Data Portal (http://a816-dohbesp.nyc.gov/IndicatorPublic/), More NYC Health Data (www.nyc.gov/health/data)
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/99b3O-sshio?si=8YW9OVy-OkEGmtJ9","description":"https://youtu.be/99b3O-sshio?si=8YW9OVy-OkEGmtJ9"}
Lightning-fast analytics with the Open Data stack
Event Name: Lightning-fast analytics with the Open Data stack • Event Organizers: Individuals: Christian Casazza, Founder, The Open Data Stack • Festival Year: 2025
Event Name
Lightning-fast analytics with the Open Data stack
Event Description
Open-source is transforming the data engineering space. By combining tools like Parquet, Polars, DuckDB, and Dagster, data product creation can achieve a collective 1000x improvement in cost, performance, and simplicity. Plus — thanks to LLMs, it has never been easier to quickly learn how to build with these tools!

Join Christian Casazza, Data Engineer, where he’ll speak about The Open Data Stack. He’ll show you how to use these open-source tools to ingest and store any dataset from the Socrata API, run a SQL transformation pipeline, and visualize the results as a live web app (all for free from your laptop!). Then, learn how to work with an LLM like ChatGPT to write ETL code, build SQL queries, and create frontend apps.
Event Organizers
Individuals: Christian Casazza, Founder, The Open Data Stack
Festival Year
2025
Nyc Open Data Dataset
311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9]
Event Type
Virtual
Event Format
Workshop
Recording Link
{"url":"https://youtu.be/B4TgL3HwujI?si=B7fIlahBOPoFWfLS","description":"https://youtu.be/B4TgL3HwujI?si=B7fIlahBOPoFWfLS"}
Discovering NYC Open Data: Special Online Session
Event Name: Discovering NYC Open Data: Special Online Session • Festival Year: 2025 • Nyc Open Data Dataset: Motor Vehicle Collisions - Crashes [https://data.cityofnewyork.us/d/h9gi-nx95]
Event Name
Discovering NYC Open Data: Special Online Session
Event Description
Join us for a student-led introduction to NYC Open Data, where you can expect an introduction to what open data is, governmental open data history, and learn to use NYC's very own open data portal! This class will be co-led by BetaNYC's Junior Associates, as part of their year-long public-interest tech associateship. It will feature an exploration of public motor vehicle accident data using the NYC Open Data platform, as well as Q&A with an open data coordinator--a member of NYC's Open Data Team that oversees the publication of datasets on the platform by city agencies!
Event Organizers
Individuals: Kate Irvin, Junior Associate of Civic Innovation, BetaNYC; Giuseppe Romano, Junior Associate of Civic Innovation, BetaNYC | Organizations: BetaNYC
Festival Year
2025
Nyc Open Data Dataset
Motor Vehicle Collisions - Crashes [https://data.cityofnewyork.us/d/h9gi-nx95]
Event Type
Virtual
Event Format
Workshop
Exploring the Congestion Relief Zone with Big MTA Open Data
Event Name: Exploring the Congestion Relief Zone with Big MTA Open Data • Festival Year: 2025 • Event Type: Virtual
Event Name
Exploring the Congestion Relief Zone with Big MTA Open Data
Event Description
In this virtual training, MTA's Data & Analytics Team will walk participants through how to pull big datasets from the open data portal via the API using Python. Participants will briefly learn a bit about MTA's Open Data Program before being invited to follow along while the team demos how to pull MTA's larger datasets off of the Socrata platform. While the data is pulling, the team will show some interesting analysis you'll be able to do, centered around the Congestion Relief Zone!
Event Organizers
Individuals: Niki Keramat, Senior Data Scientist, Metropolitan Transportation Authority; Matt Yarri, Data Science Manager, Metropolitan Transportation Authority | Organizations: Metropolitan Transportation Authority
Festival Year
2025
Other Dataset
Bus Route Segment Speeds (https://data.ny.gov/Transportation/MTA-Bus-Route-Segment-Speeds-Beginning-2023/58t6-89vi/about_data)
Event Type
Virtual
Event Format
Class / Training
Recording Link
{"url":"https://youtu.be/aLdvR7Hn4Lw?si=O1EpP_NtvwqoAhi6","description":"https://youtu.be/aLdvR7Hn4Lw?si=O1EpP_NtvwqoAhi6"}
Open Data Dashboard Supporting Tenant Organizing in Wake of Signature Bank Collapse
Event Organizers: Organizations: JustFix, University Neighborhood Housing Program • Festival Year: 2025 • Nyc Open Data Dataset: Housing Maintenance Code Violations [https://data.cityofnewyork.us/d/wvxf-dwi5]
Event Name
Open Data Dashboard Supporting Tenant Organizing in Wake of Signature Bank Collapse
Event Description
Join nonprofits JustFix and University Neighborhood Housing Program (UNHP) for a virtual presentation on how they used open data and open-source community tools to build a dashboard that supports tenant organizing in buildings impacted by the collapse of Signature Bank. 

Signature Bank financed some of the city’s worst slumlords for years, underwriting their unscrupulous business practices premised on neglect, displacement, and deregulation of rent-stabilized apartments. The bank collapsed in 2023 and the FDIC took over the mortgages for 2,000+ buildings with over 30,000 units of rent-stabilized housing, and changed the incentives making it possible to hold landlords accountable and allow tenants to use their power in new ways to get meaningful repairs made and even take control of their buildings through collective ownership models. 

Ana Peña (Community Research & Data Analyst at UNHP) and Maxwell Austensen (Software Engineer at JustFix) will share the background on Signature Bank and opportunities presented in the wake of its collapse, how they worked with various stakeholders to guide the project, how they used open data and open-source tools to create the data dashboard, and how tenants, organizers, and other groups are utilizing the dashboard to build power and improve housing conditions.

This presentation is open to all, requires no specialized knowledge or skills, and might be most relevant to:
- NYC tenants interested in the situation with Signature Bank and how data can support organizing
- Government agency workers interested in seeing how their open data can be used for good. 
- Civic tech enthusiasts interested in ways to access and utilize open data in new ways.
Event Organizers
Organizations: JustFix, University Neighborhood Housing Program
Festival Year
2025
Nyc Open Data Dataset
Housing Maintenance Code Violations [https://data.cityofnewyork.us/d/wvxf-dwi5]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/Dx1YDcJSiuI?si=2mqOwtEO4QSrL4MN","description":"https://youtu.be/Dx1YDcJSiuI?si=2mqOwtEO4QSrL4MN"}
Behind the Dashboard: Exploring the NYC TLC Factbook
Event Name: Behind the Dashboard: Exploring the NYC TLC Factbook • Event Organizers: Organizations: NYC Taxi and Limousine Commission • Festival Year: 2025
Event Name
Behind the Dashboard: Exploring the NYC TLC Factbook
Event Description
The NYC TLC Factbook is a public-facing PowerBI dashboard that showcases charts, maps, and key metrics on various data and policies, including trip counts, electric vehicles, driver pay, utilization rates, and driver demographics. The underlying data for the dashboard includes publicly available information, such as trip data, as well as more sensitive data that is kept confidential to protect driver privacy. The Data Analytics team, part of TLC's Policy Division, invites members of the public to an interactive presentation that offers an in-depth look at the analysis behind the dashboard, as well as how it helps evaluate and monitor critical policies
Event Organizers
Organizations: NYC Taxi and Limousine Commission
Festival Year
2025
Nyc Open Data Dataset
2023 Green Taxi Trip Data [https://data.cityofnewyork.us/d/peyi-gg4n], 2023 Yellow Taxi Trip Data [https://data.cityofnewyork.us/d/4b4i-vvec], 2023 For Hire Vehicles Trip Data [https://data.cityofnewyork.us/d/ywip-y6qr]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/YI2fcpk6VyA?si=6cfgeA59qkZvbYaA","description":"https://youtu.be/YI2fcpk6VyA?si=6cfgeA59qkZvbYaA"}
Public Data for Public Health: Applications to NYC
Event Name: Public Data for Public Health: Applications to NYC • Festival Year: 2025 • Event Type: Virtual
Event Name
Public Data for Public Health: Applications to NYC
Event Description
A hour-long virtual seminar where master or Ph.D. students in Biostatistics at NYU School of Global Public Health (GPH) will present ongoing research into New York City. The speakers' list and title of their talks are (with a brief description for each):
- NATHANIEL MAXEY (A QUASI-EXPERIMENTAL STUDY OF NEW YORK CITY’S SODIUM WARNING REGULATION AND HYPERTENSION PREVALENCE, 2005-2020): 
- In 2015, New York City required chain restaurants to label high-sodium menu items to raise awareness of health risks like high blood pressure and heart disease. This study analyzed community health data from 2005 to 2020 to assess whether hypertension rates changed after the regulation took effect in 2017.
- ZHIYUAN NING (RELATIONSHIP BETWEEN CYCLING AND THE PREVALENCE OF HYPERTENSION AMONG ADULTS IN NEW YORK CITY):
- Hypertension affects nearly half of U.S. adults, but regular physical activity, like cycling, may help manage blood pressure. This study analyzed New York City health data and found that people who cycle more frequently are less likely to have hypertension, highlighting cycling as a potential non-medication approach for blood pressure control and public health policy. (Data: NEW YORK CITY COMMUNITY HEALTH SURVEY)
- ANNIE QIU (ANALYZING POTENTIAL DIFFERENCES FROM INPATIENT AND OUTPATIENT SATISFACTION AMONG SEXUAL ORIENTATION AND GENDER MINORITY (SGM) ONCOLOGY PATIENTS BETWEEN 2021-2023 IN A LARGE SINGLE-CENTER, RESEARCH-ORIENTED, URBAN CANCER CENTER OF THE UNITED STATES NORTHEAST):
- This study aims to assess the experiences of sexual orientation and gender minority (SGM) oncology patients using HCAHPS and Press Ganey surveys to evaluate inpatient and outpatient care quality. By analyzing survey responses from 2021 to 2023 at a major urban cancer center, the study will use factor analysis, POMP scoring, and multiple regression to identify predictors of patient satisfaction, ultimately informing institutional improvements and addressing disparities in SGM patient care. (Data: HCAHPS questionnaire)
- ANGEL SINGH (TIMING OF NONCARDIAC SURGERY AND PERIOPERATIVE MAJOR ADVERSE EVENTS AFTER CARDIOVASCULAR INTERVENTIONS):
- Patients with heart disease face significant risks when undergoing noncardiac surgery, especially after recent heart procedures like stent placement or valve repair. This study examines the safest time to schedule surgery after these interventions and evaluates the risk of major heart complications at different time intervals, helping improve surgical guidelines and patient outcomes.
- ADEEBA TAK (ENERGY USAGE, ENERGY EFFICIENCY & GREENHOUSE GAS EMISSIONS IN NEW YORK CITY BUILDINGS)
- New York City’s buildings account for nearly two-thirds of its greenhouse gas emissions, contributing to air pollution and climate-related risks. Using machine learning models, this study analyzes energy usage and forecasts emissions in new constructions, highlighting the urgent need for stronger sustainability measures and improved energy policies.
Event Organizers
Organizations: Department of Biostatistics, Global School of Public Health, New York University
Festival Year
2025
Event Type
Virtual
Event Format
Presentation
Risk Analysis of NYC Street Flooding
Event Name: Risk Analysis of NYC Street Flooding • Event Organizers: Individuals: Jun Yan, , • Festival Year: 2025
Event Name
Risk Analysis of NYC Street Flooding
Event Description
Urban street flooding presents significant challenges for metropolitan areas like New York City, particularly in the face of intense rain events. In this workshop, we will explore the causes and variability of streetflooding using NYC Open Data and machine learning techniques. Building on prior research, we aim to reproduce findings on flood risk factors while incorporating updated data from NYC 311 service requests data and other sources such as the U.S. Census. This approach will enhance our understanding of how socio-economic and infrastructural factors contribute to flooding, offering new insights into the spatial dynamics of flood risk.

The workshop will focus on three key topics: data cleaning to process NYC 311 flood reports and supplementary datasets, exploratory data analysis to identify patterns in flood risk factors, and predictive modeling using Random Forest regression. By analyzing how covariates such as land features, topography, and population dynamics influence floodrisk, participants will gain hands-on experience with urban flood modeling techniques.

Four students from the Spring 2025 Introduction to Data Science course at UConn will present their projects in sequential order, each focusing on one aspect of the core topics. The presentations will be followed by a Q&A session, providing participants with an opportunity to engage with the presenters and explore the findings in greater depth.
Event Organizers
Individuals: Jun Yan, ,
Festival Year
2025
Nyc Open Data Dataset
311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/YSkTB-ctxSo?si=yQhlyjiz4Fl4xkEs","description":"https://youtu.be/YSkTB-ctxSo?si=yQhlyjiz4Fl4xkEs"}
Dirty Data Part 1: Finding and Cleaning Anomalies
Event Name: Dirty Data Part 1: Finding and Cleaning Anomalies • Festival Year: 2025 • Event Type: Virtual
Event Name
Dirty Data Part 1: Finding and Cleaning Anomalies
Event Description
This is a virtual presentation illustrating how to undertake a data cleansing effort It is Part I of a two part presentation involving data quality presented by David Tussey, formerly of the NYC Department of Information Technology and Telecommunications.

This part will describe the steps of a data cleansing effort, and illustrate those steps via live, real-world examples utilizing data from the NYC 311 Service Request dataset. We will examine the 311 SR dataset for anomalies. It is intended to be an instructional session reflecting lessons learned from our previous data cleansing efforts, augmented by real-time code execution providing examples of each step. By the end, we hope attendees will have a basic understanding of how to go about "cleansing" their own data sets.

Part II, presented later, will deal with evaluating data quality over time in an attempt to answer the question "is the data getting better"?
Event Organizers
Individuals: David Tussey, Former Executive Director, Formerly DoITT; Jun Yan, Professor of Statistics, University of Connecticut
Festival Year
2025
Nyc Open Data Dataset
311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/aBTXobBFRHk?si=ACCSEpV9fDDmT1sG","description":"https://youtu.be/aBTXobBFRHk?si=ACCSEpV9fDDmT1sG"}
The People Behind Named Places: Getting Creative with Civic Data
Event Name: The People Behind Named Places: Getting Creative with Civic Data • Event Organizers: Organizations: Queens Memory Project at Queens Public Library • Festival Year: 2025
Event Name
The People Behind Named Places: Getting Creative with Civic Data
Event Description
Launched in 2022 as a collaboration between the Queens Memory Project at Queens Public Library and Urban Archive, the Queens Name Explorer (http://queenslib.org/explore) is an interactive map with biographical profiles and personal remembrances spanning more than 1,200 places in the borough. Drawing on data from NYC’s Department of Parks, Department of Transportation, and others, the project offers a user-friendly way to explore local history, from looking up people by name or characteristics (such as by roles like musicians, activists, and politicians), “touring” a neighborhood and clicking on profiles, and using the information on the map to consider how practices of commemoration include and exclude individuals, communities, and their stories. 
In this session, participants will gain insight into how civic data sources, original research, and public contributions can be used to highlight local history through creative approaches to personal biography. 
Following this introduction, participants will be guided through a series of prompts to think about how named places can be a starting point for further explorations into local history. Participants will dig into the Name Explorer and consider how creative uses of civic data and research can be used for learning and commemoration.
Event Organizers
Organizations: Queens Memory Project at Queens Public Library
Festival Year
2025
Nyc Open Data Dataset
Street Name Dictionary [https://data.cityofnewyork.us/d/w4v2-rv6b], NYC Parks Monuments [https://data.cityofnewyork.us/d/6rrm-vxj9]
Event Type
Virtual
Event Format
Workshop
Recording Link
{"url":"https://www.youtube.com/watch?v=Oms7Dw2Ltks","description":"https://www.youtube.com/watch?v=Oms7Dw2Ltks"}
WeGovNYC’s DataBook Update: 50+ NYC Open Data Sets in One Interface and a Data Lake(house)
Event Organizers: Individuals: Devin Balkind, , WeGovNYC • Festival Year: 2025 • Event Type: Virtual
Event Name
WeGovNYC’s DataBook Update: 50+ NYC Open Data Sets in One Interface and a Data Lake(house)
Event Description
The WeGovNYC Databook (databook.wegov.nyc) is a data pipeline that indexes, normalizes, and republishes over 50 NYC Open Data datasets into a single interface that offers in-depth profiles of city agencies, public schools, civil service titles and more.

During this session, Devin Balkind of WeGovNYC will review how the Databook’s data pipeline works, give a tour of the interface, talk about some recent FOILing, share plans for integrating MTA data, and discuss their next-generation open data stack that will make it much easier for people to build data products using transformed data.
Event Organizers
Individuals: Devin Balkind, , WeGovNYC
Festival Year
2025
Other Dataset
50+ dataset list link (https://airtable.com/appBU3zLf0ORYqKjk/shrTeXDJ0ElDrPipE/tblVnAR7dORSeBghw)
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/72BstOAGTzU?si=xpbJSUq1PmXniOue","description":"https://youtu.be/72BstOAGTzU?si=xpbJSUq1PmXniOue"}
OpenStreetMap as your personal GIS platform
Event Name: OpenStreetMap as your personal GIS platform • Festival Year: 2025 • Other Dataset: OpenStreetMap (https://openstreetmap.org)
Event Name
OpenStreetMap as your personal GIS platform
Event Description
OpenStreetMap is the world's largest volunteer-driven spatial dataset, relied on by millions of people around the world. But it's more than one big map! Need to keep track of every playground, AED, storm drain, or LGBT-friendly bar in your neighborhood? OpenStreetMap lets you leverage the power of crowdsourcing to fill data gaps left by commercial and government datasets. You can manage your data all in one place for the benefit of the entire OSM community.

Join OSM expert Quincy Morgan and civic innovation specialist Jazzy Smith to learn how organizations can use OSM as a free, collaborative GIS platform to meet their geodata needs. We'll cover OSM basics, introduce available resources and workflows, review case studies of groups leaning into OSM, and look at how the Mapping for Equity project is connecting New Yorkers to their data.

This talk is for those of all skill levels interested in open map data. Come with questions! We'll leave plenty of time for discussion.
Event Organizers
Individuals: Quincy Morgan, Technical Lead, OpenStreetMap US; Jazzy Smith, Civic Innovation Fellowship Director, BetaNYC | Organizations: OpenStreetMap US, BetaNYC
Festival Year
2025
Other Dataset
OpenStreetMap (https://openstreetmap.org)
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/s46kw-6i464?si=vLAlYTEjjyMBMJhl","description":"https://youtu.be/s46kw-6i464?si=vLAlYTEjjyMBMJhl"}
Dirty Data Part 2: A framework for measuring data quality over time
Event Name: Dirty Data Part 2: A framework for measuring data quality over time • Festival Year: 2025 • Event Type: Virtual
Event Name
Dirty Data Part 2: A framework for measuring data quality over time
Event Description
Part II of a presentation on data quality presented by David Tussey, formerly of the NYC Department of Information Technology and Telecommunications. Part I focused on how to undertake a data cleansing effort.

This presentation focuses on measuring data quality over time. In this presentation we will examine the challenges of measuring data quality over time; essentially attempting to answer the question "Is my data getting better or worse?". We discuss some data quality measures, how to capture and visualize these over time, and how to detect deviations in data quality using a process known as statistical process control. We will demonstrate the framework we propose with real-time demonstration of data quality scripts executed against the 311 SR dataset.
At the end, we hope to illustrate both issues and a potential solution for measuring the changes in data quality over time.
Event Organizers
Individuals: David Tussey, Former Executive, DoITT; Jun Yan, Professor of Statistics, University of Connecticut
Festival Year
2025
Nyc Open Data Dataset
311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/d0RljuWlPm8?si=V885I5PYUlA8fRt-","description":"https://youtu.be/d0RljuWlPm8?si=V885I5PYUlA8fRt-"}
Visualizing NYC School Colocations
Event Name: Visualizing NYC School Colocations • Festival Year: 2025 • Event Type: Virtual
Event Name
Visualizing NYC School Colocations
Event Description
A school “colocation” occurs when two or more public schools share the same school building or campus. They have long been a part of the city's public schools, but increased rapidly under the Bloomberg and subsequent administrations, mirroring the rise of charter schools and the small schools movement.

In this session, we present a look at the state of colocations in our schools through the lens of open data. We look at colocations from the perspective of changing neighborhood demographics represented in US Census data, as well as school demographic and academic data gathered from NYC open data sets. We consider how and when schools thrive as colocations and when they suffer or present inequities.

During our presentation, we will discuss the background and driving questions for our research and our findings, but we will also demonstrate our methods and approach (and code) used to work with open geospatial data.

We follow our presentation with a workshop demonstrating new ways to plot overlapping spaces on data driven maps using the Python programming language. Our team will work with participants to code their own maps that investigate various aspects of school buildings and colocations. Participants of all levels are welcome.
Event Organizers
Individuals: Matthew Curinga, Associate Professor, MIXI Institute, Adelphi University; Elizabeth de Freitas, Professor, MIXI Institute, Adelphi University; Gabriella Deninno, Computer Science Teacher, Mineola School District; Akbota Zhumabaikyzy, HS Student, Rachel Carson High School; Claire Filipek, Research Assistant, Adelphi University | Organizations: MIXI: Manhattan Institute for STEM and the Imagination, Adelphi University
Festival Year
2025
Nyc Open Data Dataset
2017-18 - 2021-22 Demographic Snapshot [https://data.cityofnewyork.us/d/c7ru-d68s], BUILDING [https://data.cityofnewyork.us/d/5zhs-2jue], English Language Arts (ELA) Test Results 2013-2023 [https://data.cityofnewyork.us/d/iebs-5yhr], Math Test Results 2013-2023 [https://data.cityofnewyork.us/d/74kb-55u9]
Event Type
Virtual
Event Format
Workshop
Recording Link
{"url":"https://youtu.be/L5bd9YtkwM4?si=W-R7l9aR5to5_uZ2","description":"https://youtu.be/L5bd9YtkwM4?si=W-R7l9aR5to5_uZ2"}
NYC Resident Housing Property Sale (2019-2023) Analysis and Insight
Event Name: NYC Resident Housing Property Sale (2019-2023) Analysis and Insight • Event Organizers: Individuals: Yue Ru Li, Data Engineer, ; Muling Wu, , • Festival Year: 2025
Event Name
NYC Resident Housing Property Sale (2019-2023) Analysis and Insight
Event Description
COVID-19 changed people’s lifestyles all over the world. This event will focus on analyzing resident housing property sales data in New York City from 2019 to 2023, before, in, and after covid periods. By examining trends in sale prices, property characteristics, and neighborhood differences, this analysis aims to uncover key insights into the residential real estate market. Furthermore, machine learning techniques will be applied to predict property values and classify neighborhoods based on various factors such as location and building type. An end-to-end data pipeline process will be demonstrated in this talk (Data Collection, Wrangling, Visualization, Feature Engineering, Machin Learning Modeling) via the python notebook.
Event Organizers
Individuals: Yue Ru Li, Data Engineer, ; Muling Wu, ,
Festival Year
2025
Other Dataset
NYC Property Annualized sales (https://www.nyc.gov/site/finance/property/property-annualized-sales-update.page)
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/zIUFyeIhXDs?si=QbMPTMi9oUQek7JY","description":"https://youtu.be/zIUFyeIhXDs?si=QbMPTMi9oUQek7JY"}
Detecting Cool Roofs using Machine Learning
Event Name: Detecting Cool Roofs using Machine Learning • Event Organizers: Individuals: John Hocknell, Student, Hunter College • Festival Year: 2025
Event Name
Detecting Cool Roofs using Machine Learning
Event Description
Reflective roof colors reduce roof temperatures, internal building temperatures, the Urban Heat Island Effect , and carbon emissions; improve air quality; and extend the lifespan of rooftops and HVAC equipment.  Recently, the NYC CoolRoofs Initiative, in partnership with the NYC Department of Small Business Services (SBS), the Mayor's Office of Climate and Environmental Justice and The HOPE Program, has started its work to reduce NYC's carbon footprint by painting rooftops white. This project, conducted by John Hocknell, a student at Hunter College, will use machine learning to detect these cool and warm rooftops, and use that information to assess potential energy savings.
Event Organizers
Individuals: John Hocknell, Student, Hunter College
Festival Year
2025
Nyc Open Data Dataset
BUILDING [https://data.cityofnewyork.us/d/5zhs-2jue]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/O3-YCl4i6G8?si=tr-_lTvNQ4s_aEa4","description":"https://youtu.be/O3-YCl4i6G8?si=tr-_lTvNQ4s_aEa4"}
Finding Stories in the Mayor's Management Report
Event Name: Finding Stories in the Mayor's Management Report • Event Organizers: Organizations: Mayor's Office of Operations • Festival Year: 2025
Event Name
Finding Stories in the Mayor's Management Report
Event Description
Each year, dozens of news articles (and more school projects, data stories, and research papers than we know about!) are written using data from the Mayor's Management Report (MMR). This report has been published twice a year since the 1970s, and data since 2016 is available in an Open Data set and an interactive tool called the Dynamic Mayor's Management Report. In this presentation, analysts who compile the MMR at the Mayor's Office of Operations will show you the data behind the news stories. We'll walk you through using public data to identify trends that are relevant to public interest, and to find multiple data points related to the same theme so you can see the broader picture. This event is an introduction to a specific dataset and various uses, and is suitable for anyone with interest in this topic, regardless of technical skill. Anyone who is interested in creating narratives or data stories for school or public use, or who is interested in understanding how data makes it from City agencies to the pages of a newspaper, is welcome to attend.
Event Organizers
Organizations: Mayor's Office of Operations
Festival Year
2025
Nyc Open Data Dataset
Mayor's Management Report - Agency Performance Indicators [https://data.cityofnewyork.us/d/rbed-zzin]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/n5CsCh8HR_w?si=bDsnmsGDDSxEOb_d","description":"https://youtu.be/n5CsCh8HR_w?si=bDsnmsGDDSxEOb_d"}
Unlocking Economic Opportunity in NYC with Data: Introducing DataKind's Economic Opportun…
Event Organizers: Organizations: DataKind • Festival Year: 2025 • Event Type: Virtual
Event Name
Unlocking Economic Opportunity in NYC with Data: Introducing DataKind's Economic Opportunity Datascape
Event Description
This 45 minute session is an interactive demonstration of DataKind's Economic Opportunity Datascape (EO Datascape), a platform dedicated to enhancing financial well-being and economic opportunity through the power of data.
Leveraging nearly 10 public data sources, this session will showcase how the EO Datascape can help stakeholders, from Community Development Financial Institutions to nonprofits and policymakers, access comprehensive, geographically standardized, financial and economic data to make informed decisions and offer tailored services to better serve communities. The EO Datascape provides users with the ability to customize their experience by selecting key economic and financial indicators across diverse themes and public datasets—including socio-economic indicators, small business metrics, banking and investment data, and housing data—enabling them to preview and download a tailored dataset at the 2020 U.S Census tract boundaries.
Join our session to discover how this tool can transform data-driven decision-making and unlock new avenues for inclusive economic opportunity across New York City.
Event Organizers
Organizations: DataKind
Festival Year
2025
Other Dataset
Economic Opportunity Datascape Data Dictionary (https://eodatascape.datakind.org/data-dictionary)
Event Type
Virtual
Event Format
Workshop
Recording Link
{"url":"https://www.youtube.com/watch?v=LAab6rkE2_c&list=PLEAvcNuSbEODSoH3wUFbMR8yl7SwwpsW4&index=11","description":"https://www.youtube.com/watch?v=LAab6rkE2_c&list=PLEAvcNuSbEODSoH3wUFbMR8yl7SwwpsW4&index=11"}
Building a Centralized Data Pipeline on Cloud for Automatic Reporting
Event Name: Building a Centralized Data Pipeline on Cloud for Automatic Reporting • Event Organizers: Organizations: NYC Mayor's Office of Management and Budget • Festival Year: 2025
Event Name
Building a Centralized Data Pipeline on Cloud for Automatic Reporting
Event Description
This presentation, hosted by the NYC Office of Management and Budget, will take participants through the journey of building a centralized data pipeline on a generic cloud platform to deliver accurate, consistent, and timely insights automatically! We will walk through step-by-step the entire lifecycle of data management, from raw data ingestion and cleaning to transforming it into a processed and standardized dataset that serves as the foundation for consistent and accurate reporting across the organization.  
 
We will also focus on the general motivations behind the automation process and critical data decisions made during the cleaning process, transforming raw data into a reliable, processed dataset. And going from the general to the specific, we will show how we have set up a data workflow that allows us to run automatic reporting, both in the form of a dashboard and cadenced emails, using the City’s 311 data.  In addition, we will talk about cloud data storage, cloud computing, and other modern digital tools we utilized.
Event Organizers
Organizations: NYC Mayor's Office of Management and Budget
Festival Year
2025
Nyc Open Data Dataset
311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/7CR3iVs_96A?si=qFZdwsNJ7cnAUoBg","description":"https://youtu.be/7CR3iVs_96A?si=qFZdwsNJ7cnAUoBg"}
Leveraging NYC Open Data for Property Tax Forecasting
Event Name: Leveraging NYC Open Data for Property Tax Forecasting • Festival Year: 2025 • Event Type: Virtual
Event Name
Leveraging NYC Open Data for Property Tax Forecasting
Event Description
This presentation will showcase the technical aspects of the Property Tax Forecasting included in New York City Council's Economic and Tax Forecasting Report, featuring an introduction of the revenue unit team, fundamentals of the property tax system, data collection and the forecasting model used for the report that gets published by the New York City Council as part of the budgetary oversight three times a year.
The presenters are Dilara Dimnaku, Chief Economist at the New York City Council and Andrew Wilber, Supervising Economist at New York City Council Finance Division, Revenue Unit.
This event will be beneficial to other data science and analytics teams that are using similar data sources by providing use cases along with domain knowledge in housing and tax related administrative data. Participants will be able to ask questions at the end of the presentation. In addition, they will be able to review the Economic and Tax Forecasting Report that is publicly available on the City Council's website.
Event Organizers
Individuals: Dilara Dimnaku, Chief Economist, New York City Council; Andrew Wilber, Supervising Economist, New York City Council
Festival Year
2025
Nyc Open Data Dataset
Property Valuation and Assessment Data Tax Classes 1,2,3,4 [https://data.cityofnewyork.us/d/8y4t-faws]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/zypC9OqECsw?si=Q6b-5_xffExOfORj","description":"https://youtu.be/zypC9OqECsw?si=Q6b-5_xffExOfORj"}
Empowering communities: using free and open software for local health indicators
Event Name: Empowering communities: using free and open software for local health indicators • Event Organizers: Organizations: DataKind • Festival Year: 2025
Event Name
Empowering communities: using free and open software for local health indicators
Event Description
DataKind started 2024 with an ambitious goal: to create an open access tool populated with data at a hyperlocal level that would foster a deeper understanding of community needs and the complex factors influencing them. Working with collaborators representing many facets of health and wellbeing, DataKind launched the community health indicators software, a tool which enables social service providers, practitioners, policymakers and community stakeholders to access standardized data on their communities of impact and take meaningful action. This resource harmonizes and makes accessible 11 different public data sources of community data at three geographic levels (tract, zip, and county), with 49 unique data indicators drawing from a database of six million rows of data. Users have the option to create a free, secure individual or team account and upload and analyze additional datasets alongside the data included. Users can export analysis, including maps, from the system. This free and open software makes data insights accessible to any end-user regardless of data maturity.

This session will discuss the community-centered software design process, demonstrate the software with several use cases, and offer a rich, facilitated conversation with end-users of the software from social impact and governmental institutions. We will provide an introduction to question formulation, asset mapping, and data interpretation.

Attendees can submit their data questions here for use in the session or for future follow-up: https://forms.gle/TsWfe4Dses3jzVHm8
Event Organizers
Organizations: DataKind
Festival Year
2025
Other Dataset
PLACES: Local Data for Better Health (https://www.cdc.gov/places/index.html), American Community Survey (ACS) (https://www.census.gov/programs-surveys/acs/data.html), Food Insecurity among the Overall Population in the United States (https://map.feedingamerica.org), Food Access Research Atlas (https://www.ers.usda.gov/data-products/food-access-research-atlas)
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/CdKcw7yUX14?si=uChiWv2U81QHWAaj","description":"https://youtu.be/CdKcw7yUX14?si=uChiWv2U81QHWAaj"}
Telling stories with Open Data dashboards
Event Name: Telling stories with Open Data dashboards • Event Organizers: Organizations: Office of NYC Comptroller Brad Lander • Festival Year: 2025
Event Name
Telling stories with Open Data dashboards
Event Description
Open Data is rich, but overwhelming. Creating succinct, focused measures from Open Data allows New Yorkers quickly see how things are going and better understand complex issues.

The NYC Comptroller’s office recently released two new data dashboards that use Open Data resources to (1) track NYC Agency performance (https://comptroller.nyc.gov/services/for-the-public/measuring-nyc-government-performance/overview/) and (2) chart homelessness and eviction challenges facing New Yorkers (https://comptroller.nyc.gov/services/for-the-public/charting-homelessness-in-nyc/overview/).

This in-depth demonstration will:
- Detail the information available on these two dashboards:
- Measures of how key City agencies are delivering for New Yorkers
- Details on the populations experiencing homelessness, facing eviction, and actions by the City to prevent eviction and move individuals out of shelter into permanent housing.
- Show how we endeavored to tell full, meaningful stories of how City agencies are doing and the challenges New Yorkers face, relying only on public Open Data.
- How to create relevant, informative measures from raw source data
- How to combine and overlay data sources to add depth to a complex topic like housing and homelessness
- Facing limitations of the data available
- Give an overview of the technical tools to build dashboard views on Open Data sources
- Querying Open Data data and metadata
- Connecting data to PowerBI and custom tools

This session is a chance for researchers and Open Data users to get an in-depth understanding of the data available on these new dashboard products, learn how to design rich dashboards that contribute to understanding on complex policy issues, and get technical pointers for accessing Open Data.
Event Organizers
Organizations: Office of NYC Comptroller Brad Lander
Festival Year
2025
Nyc Open Data Dataset
Mayor's Management Report - Agency Performance Indicators [https://data.cityofnewyork.us/d/rbed-zzin], DHS Data Dashboard [https://data.cityofnewyork.us/d/5e9h-x6ak], 311 Service Requests from 2020 to Present [https://data.cityofnewyork.us/d/erm2-nwe9]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/1DbR8RrDj84?si=GdQVn2MLi_CDg4SU","description":"https://youtu.be/1DbR8RrDj84?si=GdQVn2MLi_CDg4SU"}
Critical Data Literacy
Event Name: Critical Data Literacy • Event Organizers: Individuals: Eldar Sarajlic, Associate Professor, CUNY BMCC • Festival Year: 2025
Event Name
Critical Data Literacy
Event Description
Anyone who uses data to make decisions must possess certain critical thinking skills that go beyond mere technical craft. But, what are these skills exactly? Join CUNY professor Eldar Sarajlic in a lecture about Critical Data Literacy, a philosophical approach to reasoning with data. You will learn about the conceptual background of thinking with data and have the opportunity to test your data-reasoning skills.

This talk is for anyone who plans to access open data and make any kind of arguments or claims based on the data. The hope is that you will walk away with a stronger toolkit to think about what a dataset means and does not and be better equipped to avoid fallacies of inference.
Event Organizers
Individuals: Eldar Sarajlic, Associate Professor, CUNY BMCC
Festival Year
2025
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/BHFLrRqXsmA?si=5quEvZznxLAC9aQ7","description":"https://youtu.be/BHFLrRqXsmA?si=5quEvZznxLAC9aQ7"}
Census Data for the Grant Writing Win
Event Name: Census Data for the Grant Writing Win • Festival Year: 2025 • Event Type: Virtual
Event Name
Census Data for the Grant Writing Win
Event Description
Join Data Dissemination Specialist Joli Golden to explore easy to use tools like QuickFacts and Census Narrative Profiles to find free local data to leverage in your grant proposals. See how to access the most current and relevant demographic statistics from the American Community Survey and the 2020 Census in data.census.gov. Take a look at how using different levels of geography in your searches and easy to create thematic maps can help you to build a more compelling case for grants. This training is recommended for all data users.
Event Organizers
Individuals: Joli Golden, Data Dissemination Specialist, U.S. Census Bureau | Organizations: U.S. Census Bureau
Festival Year
2025
Other Dataset
American Community Survey (https://data.census.gov/), QuickFacts (https://www.census.gov/quickfacts/), Census Narrative Profile (https://www.census.gov/acs/www/data/data-tables-and-tools/narrative-profiles/)
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/98GJUjVbG4M?si=th9d25Cywu7P6Gs5","description":"https://youtu.be/98GJUjVbG4M?si=th9d25Cywu7P6Gs5"}
Analyzing NYC Open Data in Excel
Event Name: Analyzing NYC Open Data in Excel • Festival Year: 2025 • Nyc Open Data Dataset: NYC Farmers Markets [https://data.cityofnewyork.us/d/8vwk-6iz2]
Event Name
Analyzing NYC Open Data in Excel
Event Description
This workshop introduces participants to data analysis in MS Excel using NYC Farmers’ Market data. Learn essential skills like sorting, filtering, and creating visualizations to uncover trends in market locations, operating hours, and SNAP/EBT acceptance. Perfect for beginners looking to organize and interpret public data effectively. The workshop will be held virtually and facilitated by Suporna Saha, Computer Literacy Instructor at Queens Public Library Queensbridge Tech Lab. For any inquiries or concerns, email us at qb-programs@queenslibrary.org.
Event Organizers
Individuals: Suporna Saha, Computer Literacy Instructor, Queens Public Library | Organizations: Queens Public Library
Festival Year
2025
Nyc Open Data Dataset
NYC Farmers Markets [https://data.cityofnewyork.us/d/8vwk-6iz2]
Event Type
Virtual
Event Format
Workshop
Recording Link
{"url":"https://youtu.be/55mdcTP1bwg?si=85Lcsx6eTihDqV2R","description":"https://youtu.be/55mdcTP1bwg?si=85Lcsx6eTihDqV2R"}
Exploring DYCD Services Using Open Data
Event Name: Exploring DYCD Services Using Open Data • Festival Year: 2025 • Event Type: Virtual
Event Name
Exploring DYCD Services Using Open Data
Event Description
Brian Schroeder and Jonathan Campbell from the Department of Youth and Community Development’s (DYCD) Analytics team will present an introduction to DYCD and our Open Data offerings, along with a demonstration of data analysis made possible by relating three DYCD datasets: Department of Youth and Community Development (DYCD) Contracts, DYCD Program Sites, and Evaluation and Monitoring Reports for Program Sites. These tables can be used to analyze the geographic distribution of DYCD programming, and to review point-in-time monitoring of program sites. Datasets which fulfill public reporting requirements mandated by local or Open Data laws will also be reviewed. We welcome anyone who is interested to learn more DYCD data and/or DYCD programs to attend.
Event Organizers
Individuals: Jonathan Campbell, Senior Analyst, DYCD; Brian Schroeder, Senior Director, DYCD | Organizations: DYCD
Festival Year
2025
Nyc Open Data Dataset
DYCD Program Sites [https://data.cityofnewyork.us/d/ebkm-iyma], Department of Youth and Community Development (DYCD) Contracts [https://data.cityofnewyork.us/d/graj-69em], Evaluation and Monitoring Reports for Program Sites [https://data.cityofnewyork.us/d/9f5n-qdib]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/kZcIoWZ0Rok?si=gUs1nbz35j4xnvIU","description":"https://youtu.be/kZcIoWZ0Rok?si=gUs1nbz35j4xnvIU"}
NYC Agency Maps, Tools, & Geospatial Data for 2025
Event Name: NYC Agency Maps, Tools, & Geospatial Data for 2025 • Festival Year: 2025 • Nyc Open Data Dataset: OER Cleanup Sites [https://data.cityofnewyork.us/d/3279-pp7v]
Event Name
NYC Agency Maps, Tools, & Geospatial Data for 2025
Event Description
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 2025.
Moderator - Lee Ilan, NYC Mayor's Office of Environmental Remediation
Panelists - Josh Friedman, NYC Emergency Management
Matt Croswell, NYC Department of City Planning
Event Organizers
Individuals: Lee Ilan, Chief of Planning, NYC Mayor's Office of Environmental Remediation; Joshua Friedman, Executive Director, Geographic Information Systems (GIS)
, NYC Emergency Management; Matthew Croswell, GIS Team Lead, NYC Department of City Planning | Organizations: NYC Mayor's Office of Environmental Remediation, NYC Emergency Management , NYC Department of City Planning
Festival Year
2025
Nyc Open Data Dataset
OER Cleanup Sites [https://data.cityofnewyork.us/d/3279-pp7v]
Event Type
Virtual
Event Format
Panel Discussion
Recording Link
{"url":"https://youtu.be/Uz0S4EPVDOs?si=u-1hGNzGS8zKHl6m","description":"https://youtu.be/Uz0S4EPVDOs?si=u-1hGNzGS8zKHl6m"}
Fun with data! Planning after-school data literacy events for teens
Event Name: Fun with data! Planning after-school data literacy events for teens • Event Organizers: Chris Sula, Pratt Institute, School of Information • Festival Year: 2019
Event Name
Fun with data! Planning after-school data literacy events for teens
Event Organizers
Chris Sula, Pratt Institute, School of Information
Festival Year
2019
Learn How to Use Open Data to Map
Event Name: Learn How to Use Open Data to Map • Event Organizers: Cassie DeWitt, Cassie DeWitt • Festival Year: 2019
Event Name
Learn How to Use Open Data to Map
Event Organizers
Cassie DeWitt, Cassie DeWitt
Festival Year
2019
Storytelling for Civic Tech: From Data Row to Reality
Event Name: Storytelling for Civic Tech: From Data Row to Reality • Event Organizers: Royce Nitta, Reboot • Festival Year: 2019
Event Name
Storytelling for Civic Tech: From Data Row to Reality
Event Organizers
Royce Nitta, Reboot
Festival Year
2019
CUNY Tech Prep: Undergraduate Projects using NYC Open Data
Event Name: CUNY Tech Prep: Undergraduate Projects using NYC Open Data • Event Organizers: Organizations: CUNY Tech Prep • Festival Year: 2025
Event Name
CUNY Tech Prep: Undergraduate Projects using NYC Open Data
Event Description
CUNY Tech Prep fellows will demo three projects from their fellowship year:
- Team Slice Scout (Matthew, Jack, Rei, and Tor) will share their full-stack web application that tracks and categorizes NYC pizza prices, utilizing React, TypeScript, Express.js, and PostgreSQL.
- Team Subway Surfers (Arihant, Md, and Zara) will share their data science dashboard that visualizes station-specific crime trends across NYC using Python and Streamlit.
- Additional fellows from across Tech Prep's Web Development and Data Science tracks will present their insights from a new "Mastering Spreadsheets" lecture that uses Open Data APIs to bring data into Google Sheets.

Moderators and project mentors: Lead Instructor, Dr. Edgardo Molina | Data Science Instructor, Zack DeSario

Open to all who want to 1) meet CUNY entry-level talent and/or 2) learn more about how to use NYC Open Data resources in education and workforce development to help undergraduates land roles in technology.

Learn more about CUNY Tech Prep on our website! https://cunytechprep.org/
Event Organizers
Organizations: CUNY Tech Prep
Festival Year
2025
Nyc Open Data Dataset
DOHMH New York City Restaurant Inspection Results [https://data.cityofnewyork.us/d/43nn-pn8j], NYPD Arrest Data (Year to Date) [https://data.cityofnewyork.us/d/uip8-fykc]
Event Type
Virtual
Event Format
Presentation
Recording Link
{"url":"https://www.youtube.com/watch?v=iOn8GV1cQNs","description":"https://www.youtube.com/watch?v=iOn8GV1cQNs"}
Applications of NYC Open Data by the Geospatial Community
Event Name: Applications of NYC Open Data by the Geospatial Community • Festival Year: 2025 • Event Type: Hybrid
Event Name
Applications of NYC Open Data by the Geospatial Community
Event Description
Come join us on Thursday March 27th @ 4:00-6:30pm. 

GISMO is hosting a lightning talk hybrid event to explore how NYC Open Data is being used by the NYC GIS and geospatial community, specifically GISMO members. GISMO ( NYC Geospatial Information Systems and Mapping Organization) is a professional development and networking organization, founded in 1990. We have a diverse group of speakers, both students and professionals, across NYC government agencies, universities, and public and private organizations, including NYPD, Arup, DNM Geospatial, and New York University.

The topics range from NYPD Open Data Coordinator updates, diving into DEP's Citywide Parcel-Based Impervious Area GIS study, mapping NY Harbor water quality, citizen science data analysis in Jamaica Bay, to understanding women's safety in walkability around NYC. Speakers will include tips and tricks to work with the data sets and for conducting research.

The lightning talks and Q&A will occur between 4:30-5:30pm. Stick around for some fun social networking with The Mappy Hour following the talks!  Light snacks and refreshments for in-person attendees.
Event Organizers
Organizations: GISMO (NYC Geospatial Information Systems and Mapping Organization)
Festival Year
2025
Nyc Open Data Dataset
DEP's Citywide Parcel-Based Impervious Area GIS Study [https://data.cityofnewyork.us/d/uex9-rfq8], NYPD Complaint Data Historic [https://data.cityofnewyork.us/d/qgea-i56i], DOT Street Lights and Traffic Signals (311 Service Requests from 2010 to Present) [https://data.cityofnewyork.us/d/jwvp-gyiq]
Event Type
Hybrid
Event Format
Presentation
Last Mile Delivery: Automating Data Distribution to NYC Open Data
Event Name: Last Mile Delivery: Automating Data Distribution to NYC Open Data • Festival Year: 2025 • Event Type: Hybrid
Event Name
Last Mile Delivery: Automating Data Distribution to NYC Open Data
Event Description
In this session we will discuss the problems that Data Engineering at the Department of City Planning encountered managing datasets and introduce the open source tooling that we've built to manage metadata, generate documentation, enforce data quality, and automate distribution of data to platforms, with a focus specifically on NYC Open Data.

This talk is aimed primarily at those who have an interest in automating some or all of the above. We will walk through how we, at City Planning, catalog our dataset metadata; how that metadata is used to generate READMES, data dictionaries, and other metadata files; how to leverage metadata for automated QA; how to automate distribution of data to destinations like Socrata, databases, FTP servers, and data lakes; and finally how interested developers can make use of our framework and potentially contribute code of their own.

This presentation is part of the Open Data @ NYC Planning event.
Event Organizers
Individuals: Alex Richey, Data Engineer, Department of City Planning; Damon McCullough, Data Engineering Team Lead, Department of City Planning | Organizations: Department of City Planning
Festival Year
2025
Event Type
Hybrid
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/T49gyXGzAS4?si=O59B_peJm1OpUEk1","description":"https://youtu.be/T49gyXGzAS4?si=O59B_peJm1OpUEk1"}
NYC Urban Heat Portal: exploring urban heat data and how we built it
Event Name: NYC Urban Heat Portal: exploring urban heat data and how we built it • Festival Year: 2025 • Other Dataset: Estimated Urban Heat Distribution Layers (https://urbanheat.nyc/)
Event Name
NYC Urban Heat Portal: exploring urban heat data and how we built it
Event Description
In this presentation, we will introduce our recently developed urban heat portal for NYC. We will demonstrate how each layer in the heat portal is prepared. We used a variety of resources to prepare urban heat layers. They include:
- Satellite data from Landsat 8 and 9
- Weather Station Data from Visual Crossing
- A variety of layers from City's open data including Land Cover (Tree cover and permeable surface cover), NTA, Parks, buildings. 

In this presentation, you will learn about the science of urban heat and the methods used for producing multiple layers that are publicly available for download. We will explain the workflow and the models that are developed to create Mean Radiant Temperature, Air Temperature, Heat Index, and an overall Outdoor Heat Exposure index.

This event will be hybrid. For in-person attendance at Hunter College, please RSVP in advance using the button below, as front desk security will need a list of attendees in advance. Please arrive 15 minutes in advance to get a pass. For virtual attendance, please RSVP using this link.
Event Organizers
Individuals: Mehdi Heris, Assistant Professor, Hunter College CUNY; Andrew Kittredge , , ; Ashley Louie, , ; Hao Lun Hung, ,
Festival Year
2025
Other Dataset
Estimated Urban Heat Distribution Layers (https://urbanheat.nyc/)
Event Type
Hybrid
Event Format
Presentation
The Nutty Arcade: Gamifying Squirrel Census Data
Event Name: The Nutty Arcade: Gamifying Squirrel Census Data • Festival Year: 2025 • Event Type: Hybrid
Event Name
The Nutty Arcade: Gamifying Squirrel Census Data
Event Description
Join us in celebrating NYC Open Data Week by playing with squirrel data! 🐿️ Presented by Kiley Matschke (Post-Baccalaureate Fellow, Barnard College Vagelos Computational Science Center), this workshop will explore the intersection of data visualization and gameplay using real NYC squirrel census data. 📊 Participants will learn how to use the game engine LÖVE to work creatively with data through the lens of game design principles. 👾🎮 This workshop is open to people from all backgrounds and coding levels! Beginner friendly. This event is being held hybrid online and in-person at Barnard College. Due to security measures at Barnard College requiring Barnard/Columbia IDs to enter campus, we ask that those who are not affiliated to please attend via Zoom!

RSVP for virtual or in-person attendance https://lu.ma/uhz6hdu5
Event Organizers
Individuals: Kiley Matschke, Post-Baccalaureate Fellow, Barnard College Vagelos Computational Science Center (CSC) | Organizations: Barnard College Vagelos Computational Science Center (CSC)
Festival Year
2025
Other Dataset
NYC Open Data Week Multi-Park Squirrel Count - Squirrel Data (https://www.dropbox.com/scl/fi/is2yaa5gz1of32xo1xwvd/squirrel-data.csv?rlkey=sao5wj2tqd98nzs6rsi5k7ot6&e=1&dl=0)
Event Type
Hybrid
Event Format
Workshop
Greenpoint Sustainability PodWalk and Panel Discussion
Event Name: Greenpoint Sustainability PodWalk and Panel Discussion • Festival Year: 2021
Event Name
Greenpoint Sustainability PodWalk and Panel Discussion
Event Description
Join us for a "walk" through and discussion of Greenpoint Brooklyn.

This podwalk was created as a part of the Urban Sustainability senior capstone class and explores sustainability in the past, present, and future of Greenpoint.

Themes include environmental justice, gentrification, community, immigration, nature in the city, and industry.
Event Organizers
Individuals: Adam Guzman, Emily Tumpson Molina, Jimmie Costello, Lisa Bloodgood | Organizations: CUNY Brooklyn College, CUNY Brooklyn College, CUNY Brooklyn College, Newtown Creek Alliance
Festival Year
2021
Recording Link
{"url":"https://youtu.be/PflA2vhfdzI","description":"https://youtu.be/PflA2vhfdzI"}
One Tool for All Your Public (or Private) Data Extraction Needs
Event Name: One Tool for All Your Public (or Private) Data Extraction Needs • Festival Year: 2025 • Event Type: Hybrid
Event Name
One Tool for All Your Public (or Private) Data Extraction Needs
Event Description
As data analysts and engineers know, quality source data is crucial to sound analyses and healthy pipelines. It can also take a lot of time, effort, and resources to wrangle. Data Engineering at the Department of City Planning has written a new tool (python module/CLI) to manage data extraction and archival.
 
In this session, we will show potential users how they might simplify and automate extracting data from external sources like NYC OpenData and ArcGIS Online. We will touch on some of the built-in features of the tool as well as where we're going: simple data cleaning, automatic geocoding, data validation, and more.

This presentation is part of the Open Data @ NYC Planning event.
Event Organizers
Individuals: Finn van Krieken, Principal Data Engineer, Department of City Planning; Sasha Filippova, Data Engineer, Department of City Planning | Organizations: Department of City Planning
Festival Year
2025
Event Type
Hybrid
Event Format
Presentation
Recording Link
{"url":"https://youtu.be/BJtZiEwVabA?si=kSBnXZuywoWQUsxu","description":"https://youtu.be/BJtZiEwVabA?si=kSBnXZuywoWQUsxu"}