Tag: Urban Planning

NYC Planning has developed the Fast Tracker app to allow users to determine whether planned housing projects are eligible for the new citywide Green Fast Track rule. The rule streamlines housing production by allowing projects of a specific typology to simplify the environmental review process, while satisfying state and city environmental standards. The app integrates ESRI Experience Builder with Survey123 and Microsoft Power Automate so users can enter project criteria and determine eligibility under the rule. We will discuss developing the app in tandem with the rule, under a strict timeline and scope. This presentation will focus on how the app was developed, how data was collected, reviewed, and processed for inclusion in the app. We will also talk about how the app and data pipelines are maintained.

This presentation is part of the Open Data @ NYC Planning event series.

Click here to RSVP for virtual attendance.

Click the blue “Going” button below to RSVP for in-person attendance at the Department of City Planning’s offices (120 Broadway, New York, NY 10271).

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 “Going” 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.

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

Open Data Week 2025 - Open Data Lightning Talk Showcase, Friday March 28 6 to 7 pm, 2 Metrotech Center, Downtown Brooklyn

Come to the NYC Office of Technology & Innovation offices on Friday, March 28 at 6PM for a lightning talk showcase, featuring open data use cases about the human brain, the environment, web domains, trash cans, and film locations. Each of the presenters will have a few minutes to showcase their work, and this will be followed by an audience question-and-answer period.

The presentations:

Arianna Zuanazzi – Exploring Child and Adolescent Mental Health in NYC: Insights from the Healthy Brain Network Open Dataset
The Healthy Brain Network (HBN) is a large-scale open science initiative of the Child Mind Institute which releases multimodal datasets capturing a broad range of clinical psychopathology in children and adolescents based in NYC. For this event, we will briefly introduce the openly available phenotypic and neuroimaging HBN datasets and present data and visualizations that illustrate socio-economic status, neighborhood crime and safety, school risk, and mental health in NYC children and adolescents. We will then explore how the HBN dataset can be combined with datasets from NYC Open Data, such as air quality and pollution data.

Surbhi Agrawal – Using Open Data to Map Regional Resiliency Risk and Assets
Sasaki Associates has developed a data platform to empower communities in mapping and understanding regional risks from natural hazards and stressors, alongside identifying critical community assets. Using open datasets, this platform visualizes data such as expected losses to populations, infrastructure, and agriculture, enabling informed decision-making for resilience planning.

Frank Noirot – Mapping the trash can landscape in NYC with QGIS and Open Data
I wondered how far people had to walk to the nearest litter basket anywhere in NYC, and thanks to NYC Open Data I was able to make a map that does just that, even though I’m no data scientist! I wrote about my process in making the map. I want to encourage others who have questions about the environment they live in to take a search through NYC Open Data to see if there is a data set that fits their topic. They might be pleasantly surprised with what they find.

Bailey Kane – Enriching NYC Open Data for .nyc Websites
All .nyc domain registrations since the beginning of the program are logged in a NYC Open Data dataset. However, actual use of those registered domains is not tracked. I was curious how people are using .nyc domains, so I started AllOf.nyc to explore all registered .nyc websites by expanding upon the data offered in the NYC Open Data dataset.

Cory D. Reeves – Simulating Soundscapes: NYC Open Data for Amplified On-Site Film Location Selection
Filming in New York City presents unique challenges—permitting, logistics, and environmental sound control measures during production are some examples. Our award-winning prototype from Autodesk University 2024’s Design & Make Conference, Dynamo Day Hackathon leverages NYC Mayor’s Office of Media and Entertainment (MOME) structured film permit datasets within Autodesk Forma’s AI-powered noise analysis engine, creating real-time feasibility assessments to support film location selection. This solution enables production teams to evaluate potential filming sites more in-depth, and to-scale within dynamic, virtual 3D space before more costly on-location mobilization of film crews and production staff.

Make a night of it! Before the event, consider checking out the Data Through Design exhibition at BRIC (647 Fulton St, Brooklyn), which is a 10-15 minute walk from this event. Afterwards, join us for a happy hour a few blocks away at Sound & Fury Brewery and Kitchen (141 Lawrence St, Brooklyn).

By the end of this 60-to-90-minute data-driven, historically rich, Trash Can Lower East Side walking tour and networking event, participants will witness, hear and see how freely available, seemingly disparate data points can be leveraged by social organizations, businesses, community development agencies, entrepreneurs and students to generate new ideas and out-of-the-box thinking

Like deciphering secret messages, event participants will hear how data wranglers and on the ground researchers from Baruch College and New York University School of Professional Studies combined present and past data to create this data rich walk.

Inspired by litter can placement data from the Department of Sanitation, the walk will show how people can overlay unusual data sources, like the placement of trash cans, the health status of trees, the placement of monuments, museums and galleries, volunteer, civic engagement information, etc. to find places of interest, create new community gathering places, identify community needs, or even new places for food carts and businesses based on foot traffic.

The walk begins at 12pm at Kossar’s Bagels and Bialys at 375 Grand Street – near the corner of Grand and Essex Streets – winding through the Lower East side to Allen Street on the West and Ludlow Street on the East, ending at Loisaida located at 710 East 9th Street around 2pm. Networking and presentations will take place at Loisaida from 2pm to 3pm.

The walking tour research, data and route planning, and organization was done by the following people: Julia Ciesla (Baruch College), Sumedha Moturu (Baruch College) , Putri Prabowo (Baruch College), Daniel Magarino (Baruch College), Saral Tewari (Baruch College), Andrew Glasser (NYU School of Professional Studies), Moksha Shah (Baruch College), Dhruvi Desai (NYU SPS); Rafael Taiar (data scientist), and Joshua Moritz (Baruch College Lecturer, NYU SPS adjunct)

Open Data Week 2025 at Cornell Tech, featuring sessions on NYC Open Data and academic research from 5:00-7:30 PM on Wednesday, March 26

Join us for an exciting set of back-to-back presentations featuring Cornell Tech researchers and practitioners as they share their real-world applications of NYC Open Data. This session offers a unique opportunity to explore how open data is being leveraged to address urban challenges, improve decision-making, and drive innovation across a variety of fields. Participants will gain valuable insights from experts who are actively shaping the future of NYC through data-driven solutions.

This event is part of an Open Data Week series hosted by Cornell Tech— learn more below!

Presentations:
– The ABCs of a PiTech Fellow: Artificial Intelligence (AI) & Natural Language Processing (NLP), Block Party & Community Boards
Breanna Green, PhD Candidate, Information Science, Cornell Tech

– Data-driven analyses and optimization of 311 systems: Applications to NYC Parks
Zhi Liu, PhD Candidate, Operations Research and Information Engineering, Cornell Tech

– Data analysis and modeling of public building construction in New York City
Sara Venkatraman, Senior Research Associate in Statistics, Weill Cornell Medical College

– Democratizing Policy Counterfactuals with AI: A deep dive into Local Law 97, NYC’s groundbreaking law to cut carbon emissions in its largest buildings
Vianney Brandicourt, Urban Tech Fellow, Cornell Tech

– Analyzing the effects of congestion pricing using Open Data
Nikhil Garg, Assistant Professor, Cornell Tech

– Predictive Maintenance for NYC Subway Lines
Atmika Pai, MS Candidate, Information Systems, Jacobs Technion-Cornell
Bhoomika Mehta, MS Candidate, Information Systems, Jacobs Technion-Cornell

– SenTree: Leveraging NYC Open Data to predict urban tree health
Rishabh Surendran, MBA Candidate, Johnson Cornell Tech
Shubham Arya, MBA Candidate, Johnson Cornell Tech

– – 
This event is part of an Open Data Week series hosted by Cornell Tech on Wednesday, March 26 from 5-8pm. We’d love for you to join us for both sessions— though it is not required! We’ll kick off at 5:00 pm with a hands-on Discovering NYC Open Data class from the Open Data Ambassadors, where you’ll learn the fundamentals of NYC Open Data. Following that, at 6:30 pm, Cornell Tech researchers and experts will discuss their real-world applications of open data, during Open Data in Action: Driving Academic Research and Government Collaboration at Cornell Tech. Join us for a post-event happy hour next door at Anything at All!

There are many easy ways to get to Cornell Tech, located on Roosevelt Island. For maps and directions see here.

Comparing data from different census years can be a challenge due to changes in geographies. When those data are Public Use Microdata Sample (PUMS), it may be difficult to know where to start. In this presentation, Donnise Hurley from the NYC Department of City Planning will demonstrate step-by-step how to access PUMS data using the Census API, prepare data for analysis, harmonize older data into the 2020 PUMAs (approximate NYC’s Community Districts boundaries), and make an interactive map using a few lines of code. Attendees will gain a basic understanding of PUMS data, learn how to calculate margins of error and use them to create statistically reliable map categories, and learn data wrangling techniques.  All analyses will be conducted in R statistical software, but the techniques presented are transferrable to other programs.

This presentation is part of the Open Data @ NYC Planning event series.

Click here to RSVP for virtual attendance.

Click the blue “Going” button below to RSVP for in-person attendance at the Department of City Planning’s offices (120 Broadway, New York, NY 10271).

Graphic with bright orange background and white text that reads School of Data.

NYC School of Data is a community conference that demystifies the policies and practices around open data, technology, and service design. This year’s conference helps conclude NYC Open Data Week and features 30+ sessions organized by NYC’s civic technology, data, and design community! Our conversations and workshops will feed your mind and inspire you to improve your neighborhood.

To attend, you need to purchase tickets. The venue is accessible, and the content is all-ages friendly! If you have accessibility questions or needs, please email us at schoolofdata@beta.nyc.

Thank you to Reinvent Albany and Esri for helping to cover conference costs and making it possible to meet in 2025.

And If you can’t join us in person, tune into the main stage live stream provided by the Internet Society New York Chapter. Follow the conversation #nycsodata on Bluesky.

Purchase your tickets here.

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 datasets. 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.

You are invited to celebrate and document the vibrant urban ecologies of New York City in an engaging edit-a-thon event. This special day is dedicated to contributing to open data projects and expanding the digital landscape of urban agriculture through collaboration with experienced WikiNYC editors and open data enthusiasts. Whether you are a seasoned Wikipedia editor or new to the process, your knowledge and stories are welcome. Join us to help preserve and amplify the impact of these cherished green spaces!

Hosted By: Farming Concrete, Wikimedia NYC, Prime Produce, Seeds to Soil, Cafe 242 Hell’s Kitchen

Introduction to Wikipedia and Open Data Editing: Learn how to edit Wikipedia and contribute to open data platforms with guidance from experienced editors and open data specialists. Projects will include:
– Open Street Map + Farming Concrete: Mapping community gardens and urban green spaces.
– WikiData and WikiBase: Adding and enhancing data about community gardens, land ownership, and urban environments.
– WikiSpore: Exploring creative documentation and storytelling.
– Open Source Flexibility: If you are interested in editing other open-source projects or platforms not explicitly listed, there will be opportunities to explore and work on them with available support.

Documentation and Story Sharing: Share your firsthand experiences and narratives about community gardens and farms, linking them to credible primary and secondary sources.
Open Data Exploration: Collaborate on projects related to land ownership, urban heat data, and civic ecology.
Contribute Your Visuals: Bring photographs, videos, and other media that capture the essence and beauty of community gardens to enrich the visual narrative.

Together, we’ll document, map, and celebrate community gardens—putting them on the global digital map!

What to Bring:
– Articles of Interest: Publications or written materials relevant to urban agriculture and community gardens.
– Lists and Ideas: A list of community gardens or related projects you’re interested in documenting.
– Photographs and Media: Any media or documentation to help visualize these spaces.
– Reference Sources: Bring any citations or resources to enhance the content.
– Devices: Laptops, tablets, or other devices for hands-on editing.
– Excitement: Bring your passion for learning, sharing, and building community!

Contact and Questions:
If you have any questions or ideas to share, reach out to kellystgreen@gmail.com.