The proposed solution aims to deliver a descriptive and predictive data analytics platform and related tools using state-of-the-art machine learning and artificial intelligence methods to prevent, detect, analyse, and combat criminal activities. AIDA will focus on cybercrime and terrorism, by addressing specific challenges related to law enforcement investigation and intelligence. While cybercrime and terrorism pose distinct problems and may rely on different input datasets, the analysis of this data can benefit from the application of the same fundamental technology base framework, endowed with Artificial Intelligence and Deep Learning techniques applied to big data analytics, and extended and tailored with crime- and task- specific additional analytic capabilities and tools. The resulting TRL-7 integrated, modular and flexible AIDA framework will include LE-specific effective, efficient and automated data mining and analytics services to deal with intelligence and investigation workflows, extensive content acquisition, information extraction and fusion, knowledge management and enrichment through novel applications of Big Data processing, machine learning, artificial intelligence, predictive and visual analytics. AIDA system and tools will be made available to LEAs through a secure sandbox environment that aims to raise the technological readiness level of the solutions through their application in operational environment with real data.

Petty crime has a significant negative impact on European citizens’ quality of life, community cohesion and the safety and security of the urban environment. The aim of the Cutting Crime Impact (CCI) project is to enable Law Enforcement Agencies (LEAs) and security policymakers to adopt a preventative, evidence-based and sustainable approach to tackling high-impact petty crime. Tailored to the needs of end-users, CCI will design, develop and demonstrate four Toolkits covering: (i) predictive policing; (ii) community policing; (iii) crime prevention through urban design and planning; and (iv) measuring and mitigating citizens’ feelings of insecurity. Using social science methods and innovation tools from the design industry, CCI will support LEAs in researching and innovating practical, evidence-based tools that meet end-users needs and operational contexts. In delivering CCI, LEAs will gain valuable experience in requirements capture, problem framing, ideation, concept generation, solution design and prototyping that is transferable to other areas. Practical consideration of ethical, legal and social issues throughout the project's research and innovation activities will ensure developed Toolkits help promote safe and secure towns and cities, without compromising fundamental human rights. All toolkits will be demonstrated in an operational setting to assess performance, and materials developed to support integration into LEA operations and foster wider implementation. CCI aims to encourage wider EU adoption of effective approaches to safety and security, and will develop an extended European Security Model that includes high-impact petty crime and citizens’ feelings of insecurity. CCI will result in greater openness to innovation and design approaches amongst LEAs and security policymakers across Europe, as well as demonstrate the value of practitioner-led approaches to EU-funded research and innovation projects.

RITHMS project intends to boost the operational capacity of Police and Customs/Border Authorities in addressing the increasingly organised and poly-criminal nature of trafficking in cultural goods through research, technological innovation, outreach and training. Illicit trade in cultural heritage has progressed from a local phenomenon limited to the initiative of a few individuals to a highly remunerative source of income for criminal organisations and terrorist groups that have taken advantage of the opportunities offered by the web and social media to further expand an already flourishing market. Against this background, RITHMS proposes an interdisciplinary approach made necessary by the transnational character of this crime and its links to other criminal networks. The project will define a replicable strategy to counter the challenges in addressing the illicit trafficking of stolen/looted cultural goods and to investigate the mechanisms underpinning it, including its connection with organised crime. RITHMS will foster cross-cutting research bringing together all the domains relevant to expand the understanding of this type of crime (art market, criminology, law studies, forensic science, etc.). Inputs from these disciplines will inform the theoretical framework underlying an interoperable AI-based Platform able to identify criminal organised networks and to provide investigators with valuable intelligence on the activities and evolution of such networks. The Platform will be leveraging the methods of Social Network Analysis (SNA), a methodology that gives a way to better understand human behaviour through people's relations and interactions. Including four Police authorities, two Border Agencies, one Police School, SMEs, and researchers from SSH and ICT, RITHMS Consortium is well positioned to offer solutions to counteract more effectively organisations involved in illicit activities against cultural heritage.

PARSEC is a project about parcel and letter security in the context of postal and express courier services. The project delivers an ambitious set of solutions by developing, configuring, customising, and piloting innovative tools, services and security management views to fight the abuse of postal and express courier flows for criminal and terrorist purposes. The four PARSEC innovation areas and three use cases strengthen risk analysis and redefine threat detection and resilience capabilities of parcel service providers, customs authorities, police agencies, and other relevant stakeholders. PARSEC develops and tests three next-generation non-intrusive detection technologies (multi-energy photon counting detector, neutron-induced gamma-ray spectroscopy, and X-ray diffraction) and combine them into a detection architecture (= system-of-system) for optimal detection accuracy, speed and reliability. With PARSEC solutions postal and express operators, customs, and police authorities will be more capable to fight crime and terrorism, put in place a stronger deterrent, and to ensure safe and undisrupted postal and express services.

A project to build and maintain an innovation-driven network of LEAs combating cybercrime - accelerating the EU’s ability to counteract growing pressures of cyber threats. Heeding advice from EUROPOL’s EC3 flagship report Internet Organised Crime Threat Assessment, CYCLOPES create synergies between LEAs from MS and connect industry and academia by stimulating and sustaining dialogue on pressing security matters threatening the stability of Europe and Citizen safety. Dedicated teams will scour markets, identifying solutions and research activities to highlight actions and innovative products to assist LEAs tackle the complexity of cybercrime. Besides technology, the project supports continued development of LEAs, working closely with practitioners to define current capacities and elicit capability gaps and requirements in crucial areas: procedures, training, legal and standardisation. Consequently, other objectives are: identification of priorities for standardisation; recommendations for innovation uptake and implementation; social, ethical and legal reports providing guidance and training suggestions for cybercrime investigators; dissemination of results through workshops, conferences, webinars, publications, policy papers and media. All outcomes will be suitably considered for exploitation - helping to propel the EU in the fight against cybercrime. Practitioners’ workshops are a driving force behind the project and cover three 3 domains: 1) cybercrime affecting people directly, 2) cybercrime affecting systems, 3) digital forensics. The project is to synchronise with other activities conducted by relevant parties EUROPOL, INTERPOL, CEPOL, ECTEG, ENISA; networks: ENLETS, ENFSI, I-LEAD, iLEAnet, EU-HYBNET, covering topics that go beyond efforts of these initiatives and preventing duplication. This also applies to projects where activities align with CYCLOPES (i-ProcureNet, Stairs4Security) and future projects funded by the EC, especially in the area of AI.