Objectives of the Projects

Recognising that our projects have common stakeholders and similar objectives in supporting law enforcement against organised crime and terrorism, we have formed a cluster with these objectives:

  1. To share knowledge in order to support law enforcement against money-laundering, cybercrime, organised crime and terrorism, for example, by webinars for the partners in the cluster
  2. To leverage our dissemination activities by mentioning the projects in the cluster on our websites, inviting articles from the cluster projects in our newsletter
  3. To ensure the coherence and complementarity of our recommendations to the EC, LEAs and other stakeholders, as far as possible.
  4. To explore a degree of interoperability or compatibility between our technical platforms, modules and/or services.
  5. To explore synergies, research opportunities and possible joint exploitation activities.

Projects in the cluster


Project coordinator: David Wright

CC-DRIVER is a three-year, EU-funded project investigating the drivers of cybercrime and, especially, how young people can be turned away from cybercrime to use their talents in more socially productive ways. The €5 million project began in May 2020, has 13 partners from eight countries and is co-ordinated by Trilateral Research (UK).


Project coordinator: Raquel Pastor

COPKIT is a three-year, EU-funded project that addresses the problem of analysing, preventing and investigating the use of ICTs by organised crime and terrorist groups. In this context, the project is developing a toolkit to support the Early Warning (EW)/Early Action (EA) methodology. The €5 million project began in June 2018, has 18 partners from 13 countries and is co-ordinated by Ingeniería de Sistemas para la Defensa de España (ISDEFE) (ES).


Project coordinator: Dr. Dimitrios Tzovaras

DARLENE is a three-year project that will offer European law enforcement agencies an augmented reality ecosystem with powerful deep learning algorithms that will improve situational awareness and effectiveness in all security verticals. The €7 million project will begin in September 2020, has 15 partners from 10 countries and is co-ordinated by the Centre for Research and Technology Hellas (CERTH) (GR).


Project coordinator: Dr Ray Genoe, University College Dublin (IE)

INSPECTr is a three-year project that will develop a shared intelligent platform and novel process for gathering, analysing, prioritising and presenting key data to help in the prediction, detection and management of crime in support of multiple agencies at the local, national and international level. The €7 million project began in September 2019, has 18 partners from 13 countries and is coordinated by University College Dublin (IE).


Project coordinator: Dr Constantinos Patsakis

LOCARD is a project funded through the European Commission’s Horizon 2020 program. The three-year project (May 2019 - April 2022) will automate the collection of digital evidence in any electronic format and medium by providing a unique platform for exchanging this evidence. Its goal is to provide a comprehensive management approach to handle digital evidence to be presented in a court of law, alleviating many issues of current art and practice. LOCARD aims to increase trust in the handling and processing of digital evidence and the management of chain of custody by providing transparency and using immutable chain of custody stored with blockchain technology.


Project coordinator: Dr Konstantinos Demestichas

PREVISION is a two-year, EU-funded project that aims to empower law enforcement agencies with tools and solutions to handle and capitalise on the massive heterogeneous data streams that must be processed during complex crime investigations and threat risk assessments. The €9 million project began in September 2019, has 28 partners from 13 countries and is co-ordinated by the Institute of Communication and Computer Systems (ICCS) (GR).


Project coordinator: Prof Umut Turksen

PROTAX is a three-year, EU-funded project that aims to generate, in close co-operation with practitioners, policy guidelines and toolkits to harmonise the treatment of tax crime and enhance information sharing across different European jurisdictions. The €3 million project began in May 2018, has 9 partners from 6 countries and is co-ordinated by Coventry University (UK).


Project coordinator: Dr Gregorio López

The RAYUELA project is a three-year project with a budget of €5 million. The project will begin in October 2020, has 17 partners from 9 countries and is co-ordinated by Universidad Pontificia Comillas (ES). It will bring together experts from different areas of knowledge from all over Europe to develop an interactive story-like game that, on the one side, will allow minors to learn good practices on the use of the Internet and associated technology by playing, and, on the other side, will allow modelling, in a friendly and non-invasive manner, online habits and potential risk profiles related to cybersecurity and cybercriminality, providing Law Enforcement Agencies with scientifically sound foundations to define appropriate policies.


Project coordinator: Dr Petr Motlicek

ROXANNE is a three-year project, with aim to develop a platform that will increase agencies’ capabilities via voice recognition, language and video technologies. The project will support LEA’s activities through multilanguage applications based on voice, text and face technologies. The €7 million project began in September 2019, has 24 partners from 16 countries and is co-ordinated by Idiap Research Institute (CH).



Project coordinator: Dr Umut Turksen

TRACE is a three-year project that will perform intensive cross-disciplinary research to develop technological and socio-legal tools for tracking illicit money flows in Europe. By drawing information from the dark web and using machine learning and AI to make connections, TRACE will be able to visualise illicit money flows for use by LEAs. The €7 million project began in July 2021, has 16 partners from 8 countries and is co-ordinated by Coventry University (CU).