Funding Organization: European Commission
Funding Programme: Horizon H2020
Funding Instrument: Research & Innovation Action
Start Date:
Duration: 36 months
Total Budget: 4,263,408 EUR
ITI Budget: 374,250 EUR

Trusted, Citizen, LEA collaboration over social Networks (2015: H2020 RIA)

Community policing promotes the implementation of bi-directional collaboration channels between citizens and Law Enforcement Agencies (LEAs). By enhancing the discovery of relevant and up to date information, it speeds up the detection of risks, eases their prevention and builds a continuum of collaboration which motivates citizens and LEAs to work together.

Over 36 months, TRILLION – TRusted, CItizen – LEA coILaboratIon over sOcial Networks – delivers a fully-fledged platform to support the extensive collaboration between citizens and LEAs. The operational environment of the platform is not limited to an on-going crisis, but also extends to the period before it throughh early identification and prevention of emerging risks. Major challenges addressed by TRILLION include creating the necessary trust to entice provision of information, ensuring that the information leads to realistic and credible knowledge and using this knowledge through secure bi-directional communications to guide actions of individuals closest to an identified risky situation.

TRILLION delivers a comprehensive service based platform and mobile applications that support the knowledge-based, real-time collaboration among law enforcement agents, first responders and citizens whilst ensuring that privacy and data protection are taken into account. The TRILLION consortium and supporting organisations include 6 citizen communities, 6 law enforcement stakeholders, 3 industrial players and 5 universities and research centres. Extensive trials take place through pilots, early validations and serious game based training across Italy, Portugal, Sweden, the Netherlands and the United Kingdom, involving close to 2.000 citizens and law enforcement agencies representatives.


  1. N. Bastas, T. Semertzidis, P. Daras, "DepthRank: Exploiting Temporality to Uncover Important Network Nodes" , In: Ciampaglia G., Mashhadi A., Yasseri T. (eds) Social Informatics. SocInfo 2017. Lecture Notes in Computer Science, vol 10540. Springer, Cham, DOI:
Dr. Petros Daras
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Visual Computing Lab

The focus of the Visual Computing Laboratory is to develop new algorithms and architectures for applications in the areas of 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging.

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Contact Information

Dr. Petros Daras, Research Director
6th km Charilaou – Thermi Rd, 57001, Thessaloniki, Greece
P.O.Box: 60361
Tel.: +30 2310 464160 (ext. 156)
Fax: +30 2310 464164
Email: daras(at)iti(dot)gr