With the rise and spread of ICT-enabled crimes and illicit financial flows (IFFs), law enforcement agencies (LEAs) and financial intelligence units (FIUs) need innovative policing tools in the virtual sphere as well as skills, organisational and regulatory adaptations to counter these threats. TRACE will focus on input (forming initial suspicion), processing (substantiating suspicion, collecting evidence, locating suspects and their assets) and output (producing court proof / admissible e-evidence) to develop ICT-enabled solutions to identify, track and document IFFs, to pave the way for recovering the proceeds of crime and to disrupt the IFFs. TRACE will apply its solutions in use cases on terrorist financing, web forensics, cyber extortion, use of cryptocurrencies in property market transactions, money laundering in arts and antiquities, and online gambling, all of which have been developed in consultation with LEAs. TRACE will make recommendations on harmonisation of information formats in suspicious activity reports. Heretofore the differences and fragmented use of e-evidence in criminal justice processes have hindered cross-border investigations, prosecutions and convictions and recovery of assets. TRACE will create an open source platform for LEAs and for advancements in technology-based solutions in policing. With stakeholder engagement from the outset, the TRACE partners will co-develop advanced investigation tools and test and validate their efficacy in detecting IFFs. TRACE will also create a working group of partner LEAs and Stakeholder Board LEAs to discuss good practices in information sharing among EU LEAs. The project will create a Stakeholder Board of about 20 key stakeholders and an Ethics Advisory Board comprising four external ethics experts and two partners. TRACE has a multidisciplinary consortium comprising LEAs, AI technology companies, academia, research institutes and NGOs with track records of delivering cutting edge EU projects.

Clarus is a multidisciplinary and multi-organisational consortium comprised of 6 academic research organisations; 4 forensic and 3 police agencies (LEAs) from 6 European member states and associated countries. Clarus will study how communication, taken-for-granted ways of doing things, organisational cultures, disciplinary backgrounds or even gender and specific languages can contribute significantly to a context for biased judgements and erroneous decisions at an organisational level in digital evidence examination and investigation. Clarus will achieve its objectives by co-producing, with the direct involvement of end-users, (1) a map of ambiguous information flows and points of miscommunication; (2) a report on potential sources of misunderstandings, errors and biases from organisational cultures, terminologies and communication patterns; (3) a common lexicon with reference points in multiple languages and (4) a bias checking tool for enhancing quality, impartiality and reliability of digital forensics. Clarus will thus produce new knowledge related to issues of communication, language and vocabulary, both within and across borders in Europe in the field of forensic digital evidence in Europe and will highlight areas of risk for the execution of unbiased forensic procedures. Clarus’ vision is: by detecting the organisational context for bias and errors in methods of informal and formal inter-agency communication, as well as the implementation of a common lexicon and bias checking tool, Clarus will improve objectivity, neutrality and fairness in the pursuit of safer justice outcomes in terrorism and serious crime exploiting digital technologies. This will enhance communication and improve efficiency and increase trust between citizens and the professional services in policing, forensic science and the courts leading to: "Improved forensics and lawful evidence collection, increasing the capabilities to apprehend criminals and terrorists and bring them to the court"

The increasing complexity of security challenges combined with the accumulation of significant amounts of digital data calls for better and more widespread use of Artificial Intelligence (AI) capabilities for law enforcement agencies (LEAs). AI can provide benefits to LEAs at all levels given the right understanding, tools, data and protection while increased awareness of criminal misuse is providing an immediate and concerning threat that must be tackled rapidly. Furthermore, a community that brings together LEAs, researchers, industry, security practitioners and other actors in the security ecosystem under a coordinated and strategic effort is essential for the realisation of these efforts into operational practices. STARLIGHT presents an inclusive and sustainable vision for increasing the awareness, capability, adoption and long-term impact of AI in Europe for LEAs. Five strategic goals underpin STARLIGHT’s approach: (1) Improve the widespread UNDERSTANDing of AI across LEAs to reinforce their investigative and cybersecurity operations and the need to uphold legal, ethical and societal values; (2) Provide opportunities to LEAs to EXPLOIT AI tools and solutions in their operational work that are trustworthy, transparent and human-centric; (3) Ensure that LEAs can PROTECT their own AI systems through privacy- and security-by-design approaches, better cybersecurity tools and knowledge; (4) Raise LEAs’ expertise and capacity to COMBAT the misuse of AI-supported crime and terrorism; and (5) BOOST AI for LEAs in Europe through high-quality datasets, an interoperable and standardised framework for long term sustainability of solutions, and the creation of an AI hub for LEAs that supports a strong AI security industry and enhances the EU’s strategic autonomy in AI. STARLIGHT will ensure European LEAs lead the way in AI innovation, autonomy and resilience, addressing the challenges of now and the future, prioritising the safety and security of Europe for all.

TENSOR will provide LEAs a platform that facilitates the biometric evidence extraction, sharing and storage in cross border environments allowing them to share best practices in an automated, robust, secure, privacy-preserving and scalable manner. In addition, the full potential of biometrics technologies will be exploited and their fusion in case of partial evidence gathered in the crime scenes by forensic institutes strengthening their acceptance in the court of justice. More particularly, TENSOR will equip security practitioners with novel tools focusing on (a) Extraction of biometrics and other more or less distinctive features validated in forensic conditions that assist LEAs in identification, identity verification, intelligence and investigation processes and can be leveraged to unlock criminals’ mobile devices; (b) Sharing of biometrics through secure, automated, scalable exchange of biometric intelligence and court-proof evidence among LEAs in a cross-border manner, enhancing interoperability among legacy systems owned by security practitioners and Forensic Institutes; and (c) Storage of biometrics in a privacy-preserving way through a biometric data protection mechanism enabling revocability of biometric templates. TENSOR will also introduce the one-of-its-kind European Biometric Data Space creating a common ground among LEAs, Forensic Institutes and Security Researchers assisting in the faster adoption of modern biometric solutions.

Discovering criminal networks and identifying their members is one of the primary aspects of LEAs' mission. ROXANNE will contribute towards this goal by bridging the strengths of speech and language technologies (SLTs), visual analysis (VA) and network analysis (NA). If funded, ROXANNE will achieve a significant increase in the speed of investigation processes and an improvement in identification of individuals by means of speech, in the scope of criminal cases where large amounts of lawfully intercepted communications (with multilingual attributes) are analysed. The technical development will be centred around the ROXANNE platform, which will enhance criminal network analysis capabilities by providing a framework for extracting evidence and actionable intelligence based on speech, language and video technologies. The intention is not to replace humans but automate time-consuming tasks, and support LEA decision-making. Its early version will offer preliminary SLT, VA and NA capabilities to collect end-user feedback. The final version will provide multilingual, probabilistic tools interfacing SLT and NA technologies, boosted by natural language processing (NLP) and relation analysis in the synoptic criminal activity graph. ROXANNE will achieve full compliance with relevant INTERPOL and EU legal and ethical frameworks, including innovative approaches to data protection management such as privacy by design. Special efforts will be expended to ensure ROXANNE outcomes achieve widespread adoption by law enforcement. The effort will be enhanced through a series of education and awareness campaigns and the direct involvement of LEAs from nine European countries, that will test our solutions on real case data. In addition, ROXANNE partner INTERPOL and EUROPOL (member of the External Advisory Board) will provide advice and guidance. The consortium has 24 partners with complementary skills, including leaders in key technology areas impacting criminal investigations.