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

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Month: May 2019

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aviation Big Data health research

Aviation Big Data value for health-related scientific research

May 27, 2019August 19, 2021

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
data challenges IT provider

Aviation industry data challenges from the perspective of an IT provider in aviation

May 17, 2019August 19, 2021

Just like with any other business sector, the aviation industry is affected by the move to digitization and despite the […]

Blog, perspectives aviation IT provider, big data, digital transformation, 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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