University Student Competition
Up to 10 teams will be invited to compete for the
$25,000 TOP PRIZE

* ANNOUNCEMENT *
10 FINALIST TEAMS

Duke University
Embry-Riddle Aeronautical University
Embry-Riddle Aeronautical University
George Mason University
Georgia Institute of Technology
The Cooper Union
University of Miami
University of North Dakota
University of Southern California
University of Southern California

As a regulator and operator, the Federal Aviation Administration’s (FAA) diverse mission activities collect and generate a tremendous amount of data. This data must be transformed to actionable information and leveraged to the fullest extent possible to enable the FAA’s mission, which is to provide the safest and most efficient aerospace system in the world. To drive efficiency, improve accountability, facilitate innovation, exploit the use of data, and embrace modern analytical techniques.

The 2023 FAA Data Challenge focuses on the use of Artificial Intelligence/Machine Learning (AI/ML) and advanced analytics to address aviation-related problems and opportunities. AI/ML is rapidly transforming many industries including aviation.

The FAA seeks submissions that will push the boundary and introduce novel approaches to aviation problems as the FAA moves further towards an info-centric National Airspace System (NAS). The advanced analytics and AI/ML proposals should address one of the following categories:

  • Improve Aviation Safety
  • Improve Operational Efficiency of the NAS
  • Contribute to the Drive for Sustainable Aviation
  • Assist with the Rapidly Evolving New and Novel Uses of the NAS


Submit an
Expression of Interest


Submit an Abstract by
Feb. 12, 2023


NIA News Release

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