EU borders are constantly faced with a multiplicity of challenges, from increased waves of illegal migration to human trafficking, document fraud, terrorism, smuggling, and public health threats. In the CRiTERIA project we will develop a novel risk analysis methodology, which is, on the one hand, clearly rooted and builds upon existing methodology such as CIRAM and, on the other hand introduces novel more complex and effective indicators, which overcome important limitations of existing models. Such extended risk and vulnerability analysis methodology has to be backed by effective intelligent analysis technology. Building upon existing text, media, data and network analysis technology, in CRiTERIA, we will develop and evaluate advanced analysis technologies and tools that are tailored to the new comprehensive threat indicators of the CRiTERIA methodology. Special focus will be put to the consideration of the role of narratives, events, attitudes, and to the vulnerability of borders and humans as well as on providing semi-automatic tools and methods for risk-related evidence validation and explanation, for identifying risk propagation and interlinking, thus supporting decision processes in risk analysis in an innovative way. When developing this holistic CRiTERIA risk and vulnerability analysis framework for border agencies ethical, legal and societal aspects will be considered from the very beginning. The methodology will be developed in close collaboration with practitioners from border agencies, which will also validate the developed methods and technologies in piloting activities. For achieving its goals CRiTERIA brings together an interdisciplinary team of experts including researchers in the fields of security and risk analysis, in the field of data and media analysis and in the field of ethics, law and societal aspects, as well as border agencies, NGOs and companies.

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.

The aim of our project is to train police officers’ on the procedure, through gamification technologies in a safe and controlled virtual environment. Essential tasks during the creation of LAW-GAME serious game are to virtualise and accurately recreate the real world. We will introduce an attractive approach to the development of core competencies required for performing intelligence analysis, through a series of AI-assisted procedures for crime analysis and prediction of illegal acts, within the LAW-GAME game realm. Building upon an in-depth analysis of police officers’ learning needs, we will develop an advanced learning experience, embedded into 3 comprehensive “gaming modes” dedicated to train police officers and measure their proficiency in: 1. conducting forensic examination, through a one-player or multi-player cooperative gaming scenario, played through the role of a forensics expert. Developed AI tools for evidence recognition and CSI and car accident analysis, will provide guidance to the trainee. 2. effective questioning, threatening, cajoling, persuasion, or negotiation. The trainee will be exposed to the challenges of the police interview tactics and trained to increase her emotional intelligence by interviewing a highly-realistic 3D digital character, advanced with conversational AI. 3. recognizing and mitigating potential terrorist attacks. The trainees will impersonate an intelligence analyst tasked with preventing an impending terrorist attack under a didactic and exciting “bad and good” multiplayer and AI-assisted game experience. The proposed learning experience focuses on the development of the key competences needed for successfully operating in diverse and distributed teams, as required by several cross-organisational and international cooperation situations. The learning methodology developed by the LAW-GAME consortium will be extensively validated by European end-users, in Greece, Lithuania, Romania, Moldavia and Estonia.

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.

CREST aims to equip LEAs with an advanced prediction, prevention, operation, and investigation platform by leveraging the IoT ecosystem, autonomous systems, and targeted technologies and building upon the concept of multidimensional integration and correlation of heterogeneous multimodal data streams (ranging from online content to IoT-enabled sensors) for a) threat detection and assessment, b) dynamic mission planning and adaptive navigation for improved surveillance based on autonomous systems, c) distributed command and control of law enforcement missions, d) sharing of information and exchange of digital evidence based on blockchain, and e) delivery of pertinent information to different stakeholders in an interactive manner tailored to their needs. CREST will also provide chain-of-custody, and path-to-court for digital evidence. Human factors and societal aspects will also be comprehensively addressed, while information packages for educating the wider public on identifying threats and protecting themselves will be prepared and distributed.The platform development will adopt ethics and privacy by-design principles and will be customisable to the legislation of each member state. CREST will be validated in field tests and demonstrations in three operational uses cases: 1) protection of public figures in motorcades and public spaces, 2) counter terrorism security in crowded areas, and 3) Cross-border fight against organised crime (e.g. firearms trafficking). Extensive training of LEAs' personnel, hands-on experience, joint exercises, and training material, will boost the uptake of CREST tools and technologies. With a Consortium of 8 LEAs from 8 European countries, 7 research/academic institutions, 1 civil organisation, and 7 industry partners, CREST delivers a strong representation of the challenges, the requirements and the tools to meet its objectives.