FI-STAR

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FI-STAR will establish early trials in the Health Care domain building on Future Internet (FI) technology leveraging on the outcomes of FI-PPP Phase 1.

It will become self-sufficient after the end of the project and will continue on a sustainable business model by several partners. In order to meet the requirements of a global Health industry FI-STAR will use a fundamentally different, “reverse” cloud approach that is. It will bring the software to the data, rather than bringing the data to the software. FI-STAR will create a robust framework based of the “software to data” paradigm.

A sustainable value chain following the life cycle of the Generic Enablers (GEs) will enable FI-STAR to grow beyond the lifetime of the project. FI-STAR will build a vertical community in order to create a sustainable ecosystem for all user groups in the global Health care and adjacent markets based on FI-PPP specifications.

FI-STAR will deploy and execute 7 early trials across Europe, serving more than 4 million people. Through the trials FI-STAR will validate the FI-PPP core platform concept by using GEs to build its framework and will introduce ultra-light interactive applications for user functionality.

It will pro-actively engage with the FI-PPP to propose specifications and standards.FI-STAR will use the latest digital media technology for community building and will proactively prepare for Phase 3 through targeted elicitation of new partners using open calls.

Finally, FI-STAR will collaborate with other FI-PPP projects, through the mechanisms in place, by actively interacting with all necessary bodies. FI-STAR is a unique opportunity for implementing Future Internet Private-Public Partnership in the Health Care domain, by offering to the community standardized and certified software including a safe, secure and resilient platform, taking advantage of all Cloud Computing benefits and guaranteeing the protection of sensitive and personal data travelling in Public Clouds.

Evripidis Gkanias
Evripidis Gkanias
Research Associate in Computational & Neuromorphic Modelling

Post-doctoral research associate at the University of Edinburgh, School of Informatics.