Fast Track Innovation and Uptake Artificial Intelligence for Aviation


Programme Category

EU Competitive Programmes

Programme Name

SESAR Joint Undertaking

Programme Description

The SESAR 3 Joint Undertaking is an institutionalised European partnership between private and public sector partners set up to accelerate through research and innovation the delivery of the Digital European Sky.

Programme Details

Identifier Code



Fast Track Innovation and Uptake Artificial Intelligence for Aviation


Project results are expected to contribute to the following expected outcomes.

  • Environment.
  • Capacity.
  • Cost-efficiency.
  • Operational efficiency.
  • Safety.
  • Security.

Detailed Call Description

To achieve the expected outcomes, all or some of the following should be addressed.

  • Trustworthy AI-powered ATM environment. This refers to the the development of advanced AI applications (e.g. supporting automation level 4) for ground or airborne use, with a particular focus on the demonstration of new methodologies for the validation and certification of advanced AI applications that will ensure their transparency, robustness and stability under all conditions. It includes aspects such as explainability, learning assurance, formal methods, testing, licensing, in-service experience and online learning assurance (R&I need: trustworthy AI-powered ATM environment).
  • AI for prescriptive aviation. This refers to the development of digital solutions and services leveraging state-of-the-art technologies to demonstrate how AI can be used in a highly automated and safety-critical environment to deliver substantial and verifiable performance benefits while at the same time fully addressing safety concerns and using human skills. AI/ML have great potential for predictions/forecasts under normal circumstances, but further evolution will be needed if they are to be used in the management of abnormal situations: a prescriptive approach will be required to monitor reality and specify precursors indicating possible deviations from what is expected. This covers the exploitation of aviation data hubs. Developments in this area might include, for example, solutions for the detection of abnormal situations and aircraft behaviour (i.e. deviations from what is expected); ML, big data and predictive analysis techniques will make it possible to analyse situations, predict potential aircraft trajectories and detect suspicious aircraft (R&I need: AI for prescriptive aviation)
  • Human–AI collaboration. This element will involve the development of digital solutions leveraging state-of-the-art technologies to support aviation actors in a highly automated environment (automation level 4) while ensuring that humans understand what the systems are doing and maintain the right level of situational awareness (R&I need: human–AI collaboration: digital assistants).

Call Total Budget


Financing percentage by EU or other bodies / Level of Subsidy or Loan

The funding rate is 70 % of the eligible costs regardless of the legal status of the Beneficiary.

Thematic Categories

  • Research, Technological Development and Innovation

Eligibility for Participation

  • Researchers/Research Centers/Institutions

Eligibility For Participation Notes

Beneficiaries will be subject to the following additional dissemination obligations:

  • Beneficiaries must make proactive efforts to share on a royalty free basis, in a timely manner and as appropriate, all relevant results with the other grants awarded under the same call.
  • Beneficiaries must acknowledge and incorporate these obligations in the proposal, outlining the efforts they will make towards meeting them, and in Annex I to the Grant Agreement.

Call Opening Date


Call Closing Date


EU Contact Point


(Publish Date: 20/04/2022-for internal use only)