Objective
The European aviation industry needs to leverage the surge of multi-source and multi-lingual data streams to gain augmented intelligence on its status quo and open up a wide spectrum of unprecedented services for the whole ecosystem (airlines, airports, passengers, service providers, manufacturers, local authorities, etc.).
ICARUS will build a novel data value chain in the aviation-related sectors towards data-driven innovation and collaboration across currently diversified and fragmented industry players, acting as multiplier of the “combined” data value that can be accrued, shared and traded, and rejuvenating the existing, increasingly non-linear models / processes in aviation. Using methods such as big data analytics, deep learning, semantic data enrichment, and blockchain powered data sharing, ICARUS will address critical barriers for the adoption of Big Data in the aviation industry (e.g. data fragmentation, data provenance, data licensing and ownership, data veracity), and will enable aviation-related big data scenarios for EU-based companies, organizations and scientists, through a multi-sided platform that will allow exploration, curation, integration and deep analysis of original, synthesized and derivative data characterized by different velocity, variety and volume in a trusted and fair manner.
ICARUS will bring together the Aerospace, Tourism, Health, Security, Transport, Retail, Weather, and Public sectors and accelerate their data-driven collaboration under the prism of a novel aviation-driven data value chain. Representative use cases of the overall domain’s value chain include: (I) Sophisticated passenger handling mechanisms and personalised services on ground facilities, (II) Enhanced routes analysis of aircrafts for improved fuel consumption optimisation and pollution awareness, (III) More accurate and realistic prediction model of epidemics, (IV) Novel Passenger experiences pre-in- and post-flight.
Fields of science
- natural sciencescomputer and information sciencescomputer securityaccess control
- natural sciencescomputer and information sciencescomputer securitydata protection
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- engineering and technologyenvironmental engineeringenergy and fuels
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
11632 Athina
Greece
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Participants (12)
00144 Roma
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14059 Berlin
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
20093 Cologno Monzese
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Participation ended
D24 Rathcoole
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1678 Nicosia
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40033 Casalecchio Di Reno Bo
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LU1 3LU Luton Bedfordshire
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
14564 Nea Kifisia
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10126 Torino
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1066 Nicosia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
19019 Spata
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3013 Limassol
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.