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

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Experiences from the ICARUS Platform: Demonstrator #4 – In-flight Passenger Experience

June 14, 2021July 25, 2021

Passenger experience enhancement is a widely discussed topic in aviation. With the radical evolution of the aviation industry in the […]

Blog, perspectives icarus demonstrator, icarus platform experience, passenger experience
icarus demonstrators cellock

ICARUS-enabled Scenarios: Demonstrator #4 – In-flight Passenger Experience

November 19, 2020August 19, 2021

In-flight passenger experience enhancement is a widely discussed topic in aviation, with all involved parties, from airlines and airports to […]

Blog, perspectives data analytics, demonstrator, ICARUS platform, passenger experience, predictive analytics

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.

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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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