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

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Pandemic board game

Aviation Big Data value for health-related scientific research

May 27, 2019September 15, 2020

The so called Big Data revolution has opened new paths for scientific research in many fields, including health related data […]

Blog, perspectives aviation data, aviation data sharing, disease spreading, health research
EBDVF 2018

ICARUS @EBDVF 2018 on November 12th-14th, 2018

November 16, 2018June 23, 2021

The European Big Data Value Forum (EBDVF 2018), a key European event for industry professionals, business developers, researchers, and policy […]

events, News aviation data sharing, big data, data analytics, data challenges, data value chain, EBDVF, EC, events

Recent Posts

  • Aviation’s Data Revolution: Flexing and Bending in A Pandemic
  • Post Covid ICARUS: Delivering a brighter future for aviation
  • ICARUS @ Activity Group (AG43) Meeting on March 18th-19th, 2021 (Virtual)
  • Experiences from the ICARUS Platform: Demonstrator #4 – In-flight Passenger Experience
  • ICARUS Data Analytics & Visualization Challenges

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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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