News & Events

The TRUSTS project enters its final implementation year!

On the 16th and 17th of February 2022, the 5th Plenary Project Meeting of the EU-funded Horizon 2020 TRUSTS project, ‘Trusted Secure Data Sharing Space’ took place online, under the leadership of the Project Coordinator, Ms. Alexandra Garatzogianni, representing the Leibniz University of Hannover (Germany). The meeting brought together 35 participants from the 17 consortium partners.

Marking 25 months into the project implementation, the Plenary Meeting was the perfect time for launching the execution of the second evaluation phase of the TRUSTS platform as well as preparing for the project’s third and final implementation year.

During the two-day virtual meeting, the partners had the opportunity to discuss the latest developments and progress achieved, the activities scheduled to deliver their results within the final implementation year and the subsequent steps forward. Partners shared knowledge and lessons learned while reviewing more mature insights gained during the first two years of TRUSTS implementation.

As the leader of the work package dedicated to the demonstration of the TRUSTS platform, eBOS R&D Project Manager, Ms Gianna Avgousti, moderated the session dedicated to the use cases. She provided an elaborated description of the Anti-Money Laundering use case, led by eBOS, aiming at improving the detection of financial crime by combining data provided on the TRUSTS platform with the application of machine-learning enabled big data analytics algorithms. Other partners provided similar descriptions related to the two other use cases of the project. Gianna also presented the work carried out since the mid-term project review in September 2021, as well as the planned timeline for the final evaluation phase and upcoming final EC Review.

The TRUSTS project received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 871481.

More information about the project and public deliverables can be accessed from: