TRACY
The TRACY project aims to gain a deeper understanding of the operational procedures involved in resolving crimes, particularly focusing on data-driven evidence processing. This includes investigating the methods, tools, and type of evidence data utilized.
With this objective in mind, TRACY aims to develop cutting-edge data analytics and artificial intelligence solutions to address the challenges of crime resolution while adhering to the regulations set by the European Union and its Member States regarding the collection of evidence data.
To achieve this, TRACY plans to employ advanced forms of network analytics that enable the collaborative processing of sensor data and assumptions about the individuals involved. For instance, TRACY will analyze data from cameras, number plate recognition systems, face detection systems, non-content data from communications, and other relevant sources. By leveraging this information, it can deduce approximate behavioral patterns of the perpetrators, aiding in the identification of suspects.
The focus of the TESSERA project on the requirements of high-quality large-scale trusted datasets that aim to be shared for the development and/or validation of AI solutions for law enforcement is closely related to the goals of TRACY that develops cutting-edge data analytics and AI solutions, thus requiring such datasets for the development and validation of these solutions, that aim to address the challenges involved in resolving crimes, with particularly focus on data-driven evidence processing, including the methods, tools and types of evidence-data utilized.
ARIEN
The ARIEN Project supports the 2021–2025 EU Drugs Action Plan by using AI to build a real-time intelligence framework for monitoring drug trafficking. The EU funded project combines co-creation, legal and ethical compliance, and modular AI tools to boost law enforcement’s ability to track online drug markets, detect hotspots via social media, and assess emerging threats.
ARIEN also aims to promote effective international cooperation among releveant EU and non-EU law enforcement agencies, Customs, Border Guards Authorities, and policymakers, using AI techniques to strengthen investigative activities against criminal groups.
FALCON
FALCON (Fight Against Large-scale Corruption and Organised Crime Networks) is a Horizon Europe–funded Innovation Action that develops and validates advanced, data‑driven solutions to better understand, detect, and combat corruption. Bringing together law enforcement authorities, social scientists, and experts in data analytics and artificial intelligence, FALCON addresses corruption as a complex and transnational phenomenon.
The project designs and implements novel corruption risk indicators and integrated analytical tools that support risk assessment, investigation, and informed decision‑making. Its work is grounded in real operational needs as well as strong social-science expertise, and is validated through pilot implementations, co‑creation with practitioners, and targeted training activities. Strong attention is given to ethical, legal, and societal considerations, including trustworthy AI, privacy, and data protection. By combining interdisciplinary research with applied innovation, FALCON strengthens the analytical foundations and operational capabilities required for more effective anti‑corruption efforts.
BORDERLINK