Industrial Research & Validation for 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



Industrial Research & Validation for 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.

  • AI-powered applications for higher levels of automation. This will involve the development of AI-powered applications supporting the transition to automation level 4 (R&I needs: trustworthy AI-powered ATM environment; AI for prescriptive aviation). It includes, for example, the following features.
    • AI-powered applications supporting next generation ATC platforms.
    • AI-powered applications supporting next generation airborne platforms.
  • AI development infrastructure and services. This relates to the development of an appropriate aviation/ATM AI infrastructure supporting AI-enabled applications, with the required software development processes, using robust architectures for ATC systems to provide ATCOs and pilots with a good level of confidence in automated decision-aiding tools (R&I needs: trustworthy AI-powered ATM environment; AI for prescriptive aviation; AI Improved datasets for better airborne operations). It includes, for example, the following features.
    • Cloud infrastructure and services.
    • Trustworthiness and explainability.
  • AI-powered digital assistants. With a view to achieving automation level 4, this element will involve the development of human–machine joint cognitive systems in which a digital assistant proposes the best possible options to the human (with regard to flows, sequences, safety nets, etc.) and solves complex situations using machine-to-machine communication (R&I need: human–AI collaboration: digital assistants). It includes, for example, the following features.
    • Airborne digital assistant.
    • Ground digital assistant.
    • Air–ground synchronisation.
    • Intelligent training systems.

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: 27/04/2022-for internal use only)