ALIGNER aims to bring together European actors concerned with Artificial Intelligence, Law Enforcement, and Policing to collectively identify and discuss needs for paving the way for a more secure Europe in which Artificial Intelligence supports LEAs while simultaneously empowering, benefit-ing, and protecting the public. To achieve this, ALIGNER will (1) Facilitate communication and cooperation between actors from law enforcement, policing, policy-making, research, industry, and civil society about the changing dynamics of crime patterns relevant to the use of AI by establishing a workshop series; (2) Identify the capability enhancement needs of European LEAs; (3) Identify, assess, and validate AI technologies with potential for LEA capability enhancement by implementing a technology watch process that includes impact and risk assessments; (4) Identify ethical, societal, and legal implications of the use of AI in law enforcement; (5) Identify means and methods for preventing the criminal use of AI via the development of a taxonomy of AI-supported crime; (6) Identify policy and research needs related to the use of AI in law enforcement by mapping practitioner needs and emerging crime patterns with identified AI technologies; and (7) Employ the gathered insights in order to incrementally develop and maintain an AI research roadmap. ALIGNER ensure that project results are applicable and relevant by not only including three LEA organisations as full partners of the project, but also establishing two external advisory boards, one for LEA practitioners and one for researchers, industry professionals, ethicists, and civil society. The members of these boards will build the core stakeholders participating at ALIGNER workshops.

PROPHETS will look at redefining new methods to prevent, investigate and mitigate cybercriminal behaviours through the development of a coherent, EU-wide, adaptive SECURITY MODEL, built upon the interplay of the human factors within the new cyber ecosystem and capable of addressing the four fundamental dimensions at the core of the phenomenon: 1. early identification of security threats; 2. investigations within a new public-private governance; 3. Increased complexity of the response due to the expansion of the security perimeter towards new societal fields and the emergence of challenging jurisdictional problems; and, last but not least, 4. perception of security and freedoms among citizens, which requires a new communication strategy for LEAs and security policy makers.

CONNEXIONs aims to develop and demonstrate next-generation detection, prediction, prevention, and investigation services. These services will be based on multidimensional integration and correlation of heterogeneous multimodal data, and delivery of pertinent information to various stakeholders in an interactive manner tailored to their needs, through augmented and virtual reality environments. The CONNEXIONs solution encompasses the entire lifecycle of law enforcement operations including: a) pre-occurrence crime prediction and prevention b) during-occurrence LEA operations c) post-occurrence investigation, and crime-scene simulation and 3D reconstruction. CONNEXIONs will meaningfully enhance operational and (near) real-time situational awareness, through automated identification, interpretation, fusion and correlation of multiple heterogeneous big data sources, as well as their delivery via immersive solutions. Such multimodal data include Surface/Deep/Dark Web and social media content in 7 languages (EN, FR, DE, PT, RO, ES, AR), data acquired by Internet of Things (IoT) devices, and digital evidence. CONNEXIONs will also provide chain-of-custody and path-to-court for digital evidence. The Project will adopt ethics and privacy by-design principles and will be customisable to the legislation of each member state. CONNEXIONs will be validated in field tests and demonstrations in 3 operational use cases: a) counter-terrorism security in large scale public events b) human trafficking investigations and mitigation c) crime investigation and training through 3D scene reconstruction. Extensive training of LEAs' personnel, hands-on experience, joint exercises, and training material will boost the uptake of CONNEXIONs tools and technologies. With a Consortium of 8 LEAs from 7 European countries, 5 Research/Academic partners, and 4 industry partners, CONNEXIONs delivers a strong representation of the challenges, requirements and tools to meet its objectives.