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

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icarus at international airport summit 2020

ICARUS @International Airport Summit on October 19th-23rd, 2020

November 7, 2020June 23, 2021

AIA participated in the International Airport Summit, which took place virtually on October 19th-23rd, 2020. The event brought together over […]

events, News events, industry, International Airport Review, international airport summit
EBDVF 2018

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

November 16, 2018August 19, 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

  • 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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