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MTA Open Data Challenge

The MTA is hosting our first-ever Open Data Challenge. Learn more about the challenge, including prizes, submission guidelines, and judging criteria.
Updated September 24, 2024 9:00 a.m.

The MTA is excited to announce our first-ever Open Data Challenge! This month-long competition invites community members, developers, and data enthusiasts to harness the power of MTA's open data. Participants will develop a project that creatively utilizes at least one MTA open dataset.

Whether you're passionate about transportation, technology, or urban planning, this is your chance to dig deeper into MTA’s open data and make a meaningful impact.

Prize

The winner will receive a vintage New York City Transit item from our memorabilia collection. Additionally, the winning project will be featured in a blog post on our Data & Analytics Blog, as well as on the MTA’s social media accounts.

Guidelines and submission

All projects must use at least one MTA dataset on data.ny.gov. See a full list of MTA open datasets.

Projects of any medium are welcome. Examples include a web app, static data visualization, a map, written report, or piece of art. If you are looking for inspiration, check out this Data & Analytics blog post for project ideas. We are excited to see how you will use our open data!

Submissions must be emailed to opendata@mtahq.org by 11:59pm EDT on October 25, 2024. The email must be titled MTA 2024 Open Data Challenge Submission and include the following as attachments to the email:

  • Your project
  • A project description, including your name and name(s) of any additional contributors to the project, a brief description of your project (no more than 500 words, please!), a link to the project if it is publicly available, and link(s) to the MTA open dataset(s) on data.ny.gov used in the project
  • The completed and signed submission form. Download the submission form.

Review a full list of official rules.

Judging criteria

Submissions will be judged on the following criteria.

  • Creativity: How unique is the project?
  • Utility: Does the project provide valuable insights and propose helpful solutions?
  • Execution: How well-executed is the project? Is it user-friendly, and functional?
  • Transparency: Does the project use publicly available data and make considerable use of MTA open data? Is the project well-documented?