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Aviation-driven Data Value Chain for Diversified Global and Local Operations

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Month: February 2020

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icarus @ 27th ACRIS Meeting

ICARUS @ 27th ACRIS Meeting on February 25th – 27th, 2020 in London

February 28, 2020January 11, 2021

The ICARUS Aviation Data Sharing and Intelligence framework was presented at the 27th ACRIS Meeting, which was held in London […]

events, News ACI, acris, aviation semantic model, meeting, working group
Image by Markus Spiske from Pixabay

Aviation Industry Data Challenges from the PACE Perspective

February 24, 2020January 11, 2021

In aviation industry several profit-oriented players like airlines, airports and air navigation services would have the chance to bring a […]

Blog, perspectives aviation data, aviation IT provider, data challenges, perspectives

Recent Posts

  • ICARUS Experience and Benefits for ISI
  • ICARUS Experience and Benefits for AIA
  • Market Opportunities and Positioning for the ICARUS Platform
  • Lessons Learnt and Adoption Guidelines based on the ICARUS Platform’s Experiences
  • Aviation’s Data Revolution: Flexing and Bending in A Pandemic

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About

ICARUS aims to deliver a novel framework and architecture that leverages data, primary or secondarily related to the aviation industry, to help companies and organisations whose operations are directly or indirectly linked to aviation (e.g. airports, airlines, IT aviation companies, aircraft equipment industries, extra-aviation service providers, tourist agencies, health and epidemics monitoring agencies, etc.) to simultaneously enhance their data reach, as well as to share / trade their existing data sources and intelligence, in order to gain better insights into airplanes’, airports’ and passengers’ quantified selves and contribute to improving their operations and increasing passengers’ safety and satisfaction.

Contact us

management@icarus2020.aero
Project Coordinator: Dr. Dimitris Alexandrou (UBITECH)
Technical Coordinator: Dr. Fenareti Lampathaki (Suite5)

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EU flag The ICARUS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780792.

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