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EU funding (€2,999,200): Advanced Big Data Value Chain for Public Safety and Personal Security Hor2 Nov 2016 EU Research and Innovation programme "Horizon"

Overview

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Advanced Big Data Value Chain for Public Safety and Personal Security

AEGIS, brings together the data, the network & the technologies to create a curated, semantically enhanced, interlinked & multilingual repository for public & personal safety-related big data. It delivers a data-driven innovation that expands over multiple business sectors & takes into consideration structured, unstructured & multilingual datasets, rejuvenates existing models and facilitates organisations in the Public Safety & Personal Security linked sectors to provide better & personalised services to their users. AEGIS will introduce new business models through the breed of an open ecosystem of innovation & data sharing principles. From the technology perspective, AEGIS targets to revolutionise semantic technologies in big data, big data analytics & visualisations as well as security & privacy frameworks by addressing current challenges & requirements of cross-domain & multilingual applications. The main benefits derived from AEGIS to data identification, collection, harmonisation, storage & utilisation towards value generation for these sectors will be: Unified representation of knowledge; Accelerated, more effective & value-packed cycles of intelligence extraction & of services & applications development; Introduction of novel business models for the data sharing economy & establishment of AEGIS as a prominent big data hub, utilising cryptocurrency algorithms to validate transactions & handle effectively IPRs, data quality & data privacy issues though a business brokerage framework. Based on an early market analysis, the Total Addressable Market of AEGIS is up to $31bn (€27.1bn); AEGIS is able not only to capture a portion of the market size, but also to expand the pie through creating additional uncaptured value based on small data integration in typical big data repositories & algorithms. Based on the same analysis, the project will break even & will be viable from its launch (2020) & will have a ROI investment of EU-commission in the first years.


Funded Companies:

Company name Funding amount
Anonymos Etaireia Kataskevon-Technikon Ergon, Emporikon, Viomichanikonkai Nautiliakon Epicheiriseon KON'KAT €274,073
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE €0.00
Ethnicon Metsovion Polytechnion €378,759
FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG e. V. €530,434
GFT Italia Srl €345,680
HDI Assicurazioni S.p.A. €226,205
Hypertech (Chaipertek) Anonymos Viomichaniki Emporiki Etaireia Pliroforikis Kai Neon Technologion €10,538.47
Kungliga Tekniska Hoegskolan €330,650
Suite5 Ltd. €253,505
Ubitech Ltd. €317,205
Virtual Vehicle Research GmbH €332,150

Source: https://cordis.europa.eu/project/id/732189

The filing refers to a past date, and does not necessarily reflect the current state.

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