Tracking illicit money flows – TRACE

Tracking illicit money flows – TRACE


As organised crime networks operate across orders, use legal loopholes and advanced technology, it is notoriously difficult to detect and trace hidden and illicit money flows. In TRACE, partners will co‐create innovative data management solutions combined with AI analytics to enhance the capabilities of law enforcement agencies in tracing and recovering illicit money flows and generating court‐proof e‐evidence.

TRACE will focus on these key aspects:

– Co-develop and validate innovative technologies to detect and analyse cross-border money flows used by criminals and terrorists;

– Increase efficiency and effectiveness of information sharing among European LEAs to better respond to cross-border financial crimes;

-Design and test innovative training materials for LEAs across Europe;

– Maintain European societal values and fundamental rights by adopting a co-creative and ethics-by-design approach in technology development.

The project will deliver a modular open-source framework for money-laundering investigations which can be tailored to meet LEA end-user needs. It will enable investigators to scrape data from databases and the world wide web in any given language; translate the text into English, analyse it and showcase the results with the help of visualisation technology.

Our solution aims to increase the efficiency of information sharing among European LEAs and enhance their innovation potential in detecting and combatting money-laundering operations and financing of organised crime and terrorism.




Coventry University (UK)


Trilateral Research (UK)

AIT Austrian Institute of Technology (Austria)

Ertzaintza Basque local police (Spain)

NOVA University of Lisbon (Portugal)

Aston University (UK)

Tax Justice Network (UK)

CIN Consult (Austria)

Proflow (Austria)

PrivaNova (France)

Department of Policing at the University of Applied Sciences for Public Service in Bavaria (Germany)

Vicesse – Vienna Centre for Societal Security (Austria)

National Organised Crime Agency (Czech Republic)


Tax and Customs Board (Estonia)

SYSTRAN (France)

Expert System Iberia (Spain)


Research team at NOVA School of Law

Professora Athina Sachoulidou (Principal investigator)



36 months ( 1 July 2021 to 30 June 2024)



The project was awarded a € 307.625  funding by the European Union, Horizon 2020 Programme,RIA – Research and Innovation action under Grant Agreement number 101022004_TRACE