Under Local Law 35 of 2022 (LL 35), City agencies are required to annually report on their use of algorithmic tools, including descriptions of the tool's use and purpose, datasets used, and vendor involvement. The report is also published as a PDF on the OTI website: https://www.nyc.gov/content/oti/pages/reports.

The full text of LL 35 is available online: https://legistar.council.nyc.gov/LegislationDetail.aspx?ID=4265421&GUID=FBA29B34-9266-4B52-B438-A772D81B1CB5

An "algorithmic tool" is defined by the law as: "Any technology or computerized process that is derived from machine learning, artificial intelligence, predictive analytics, or other similar methods of data analysis, that is used to make or assist in making decisions about and implementing policies that materially impact the rights, liberties, benefits, safety or interests of the public, including their access to available city services and resources for which they may be eligible. Such term includes, but is not limited to tools that analyze datasets to generate risk scores, make predictions about behavior, or develop classifications or categories that determine what resources are allocated to particular groups or individuals, but does not include tools used for basic computerized processes, such as calculators, spellcheck tools, autocorrect functions, spreadsheets, electronic communications, or any tool that relates only to internal management affairs such as ordering office supplies or processing payments, and does not materially affect the rights, liberties, benefits, safety or interests of the public."

This 2016 Orthoimagery Tile Index file can be used to geo-reference the individual image tiles across the City. This tile index is used in conjunction with the 2016 Orthoimagery by individual Borough download

Key indicators of broadband adoption, service and infrastructure in New York City by Community District.

The Department of Information Technology and Telecommunications, GIS Unit, is providing the raw orthoimagery for download. This orthoimagery is used to create the Aerial Photography Tile Layer services described in further detail here: https://maps.nyc.gov/tiles/. Full metadata on the Aerial & Orthoimagery can be found at: https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_AerialImagery.md
The 2016 Orthoimagery Tile Index can be used to geo-reference the individual image tiles across the City. (https://data.cityofnewyork.us/City-Government/2016-Orthoimagery-Tile-Index/sms6-sm5p)

The Department of Information Technology and Telecommunications, GIS Unit, is providing the raw orthoimagery for download. This orthoimagery is used to create the Aerial Photography Tile Layer services described in further detail here: https://maps.nyc.gov/tiles/. Full metadata on the Aerial & Orthoimagery can be found at: https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_AerialImagery.md
The 2016 Orthoimagery Tile Index can be used to geo-reference the individual image tiles across the City. (https://data.cityofnewyork.us/City-Government/2016-Orthoimagery-Tile-Index/sms6-sm5p)

New Jersey Transit Station

Key indicators of broadband adoption, service and infrastructure in New York City by NTA.

Polygon features representing the boundary limits for pedestrian zones. The Pedestrian Corridor is based on the DCP zoning maps, utilizing certain commercial overlay and commercial district designations.

Key performance indicators for the objectives enumerated in DoITT's Strategic Plan: 2015-2017. Click here to view the report - http://www1.nyc.gov/assets/doitt/downloads/pdf/strategic-plan-2015-progress-report.pdf.

A public computing center (“PCC”) is a facility offering computers with internet access. It may also offer other devices, services, and digital literacy and digital skills programming, for example. A PCC may be funded in whole, or in part, with public dollars in order to provide a public service (i.e., access to digital inclusion resources). Some PCCs are open to the general public while others may have membership criteria such as age. As an inventory, and as feasible, OTI’s purpose was to collect, count, and map where and how the City supports this kind of public access to the internet.

This NYC Orthoimagery Tile Index file can be used to geo-reference the individual image tiles across the City. This tile index is used in conjunction with the Orthoimagery by individual Borough download

NYC Service Desk Statistics

Data on DoITT's high-capacity/telecommunications services franchise agreements

This dataset contains a listing of comments and requests from the public for the addition of a new or update to an existing NYC 311 service request/complaint type. This data is required to be published under Local Law 97 of 2022.

Key indicators of broadband adoption, service and infrastructure in New York City by Congressional District
Data Limitations: Data accuracy is limited as of the date of publication and by the methodology and accuracy of the original sources. The City shall not be liable for any costs related to, or in reliance of, the data contained in these datasets.

The Public Wi-Fi in Pedestrian Corridors and Public Computer Centers dataset is an analysis of Public Wi-Fi hotspots in pedestrian corridors (zones of commercial activity in each neighborhood that attract the greatest numbers of people and local businesses) and Public Wi-Fi hotspots in the City's public computer centers.

Locations of New York City Museums

The Department of Information Technology and Telecommunications, GIS Unit, is providing the raw orthoimagery for download. This orthoimagery is used to create the Aerial Photography Tile Layer services described in further detail here: https://maps.nyc.gov/tiles/. Full metadata on the Aerial & Orthoimagery can be found at: https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_AerialImagery.md
The 2016 Orthoimagery Tile Index can be used to geo-reference the individual image tiles across the City. (https://data.cityofnewyork.us/City-Government/2016-Orthoimagery-Tile-Index/sms6-sm5p)

Key indicators of broadband adoption, service and infrastructure in New York City by Council District
Data Limitations: Data accuracy is limited as of the date of publication and by the methodology and accuracy of the original sources. The City shall not be liable for any costs related to, or in reliance of, the data contained in these datasets.

Information on the number of Internet Service Providers offering service in each of New York City's Neighborhood Tabulation Areas, according to data made publicly available by the Federal Communications Commission.

Open Data is most useful when it’s up-to-date. Over the past eight years, NYC Open Data has invested in dataset automation, so that data is updated without human intervention.
As the demand for City data continues to increase, and new technologies continue to surface, our goal is to automate more data, at a faster rate. In the last few months we have been testing tools and processes that should bring us closer to achieving this goal.
These efforts will lead to more reliable data, while allowing the Open Data Team and agency staff to work more efficiently. We plan to invest more time into testing new methods of automation, and have released a this dataset so anyone can track our progress on automations.

All curbs between roadbed pavement and other surfaces (i.e., within the street right-of-way) were captured.

Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-planimetrics/blob/master/Capture_Rules.md.

The Department of Information Technology and Telecommunications, GIS Unit, is providing the raw orthoimagery for download. This orthoimagery is used to create the Aerial Photography Tile Layer services described in further detail here: https://maps.nyc.gov/tiles/. Full metadata on the Aerial & Orthoimagery can be found at: https://github.com/CityOfNewYork/nyc-geo-metadata/blob/master/Metadata/Metadata_AerialImagery.md

The percentage of households that have both Home Broadband and Mobile Broadband subscriptions for each of New York City Public Use Microdata Areas.
Data Limitations: Data accuracy is limited as of the date of publication and by the methodology and accuracy of the original sources. The City shall not be liable for any costs related to, or in reliance of, the data contained in these datasets.

Planimetric basemap polygon layer containing sidewalk features.

Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-planimetrics/blob/master/Capture_Rules.md.