<< Objectives >>IN2PREV aims to improve LEAs and NGOs’ response to refugees and asylum seekers in European host and transit countries to prevent their radicalisation by ensuring their successful integration. More specifically, it aims to comprehensively enhance LEAs and NGOs’ competencies and knowledge regarding working with refugees and asylum seekers, thus boosting their fundamental involvement in the integration of these populations and the prevention of radicalisation.<< Implementation >>IN2PREV will create an EU-wide network of frontline practitioners to promote information-sharing and collaboration, produce a tool to be implemented by LEA and NGO’s staff to assess refugees’ vulnerability to radicalisation, develop a mentoring programme for refugees and asylum seekers’ successful inclusion and integration, and train professionals to identify vulnerability risk factors to radicalisation on these populations and facilitate their inclusion through a mentoring approach.<< Results >>IN2PREV will create a digital platform to host the network of frontline practitioners, develop the Frontline Extremism Vulnerability Risk–Structured Evaluation Screening (FEVR-SES) tool, produce the Mentoring Approach for Refugees and Asylum Seekers Assurance Programme (M4-Rinc), and create two training programmes on preventing and identifying vulnerability risk factors to radicalisation on refugees and asylum seekers, and on facilitating these individuals’ integration through mentoring.

SafeHorizon offers computer law enforcement agencies (LEAs), emergency response teams (CERTs), and computer security incident response teams (CSIRTs) a toolbox with underdevelopment and improved open-source solutions that will be simple to plug-and-play, maintain, and adapt. SaferHorizon aims to disrupt CaaS by harnessing intelligence collected from internet-facing services (the clear, deep, and dark web), public dumps and leaks (from ransomware groups and hacking forums and channels), as well as datasets from LEAs and security providers, and using machine learning (ML) to identify correlations and extract actionable evidence that can be used in court. Beyond crawling for information, SafeHorizon will actively search for possible leaks of information on illegal services, forums, and software that would allow LEAs to track down users, developers, and operators. SafeHorizon will deliver i) a toolkit that is broken down into individual and interoperable easy-to-use tools (in the form of Docker containers), ii) a monitoring platform that integrates the output of these tools, iii) a correlation engine to find the connections among diverse and big datasets, and iv) datasets and notebooks that will be shared with all EU LEAs and vetted organisations and companies to enable the easy uptake and processing of data to deliver tangible results. Moreover, SafeHorizon aims to give cybercriminals a taste of their own medicine by, e.g., spreading disinformation on hacking, carding, forums and channels to dismantle their rings of trust.

Recent scholarship on y the gender dimension in preventing and countering violent extremism programming, still lacks thorough gender-sensitive data collection and analysis. On the one hand, empirical data and a gender-sensitive approach in counter violent extremism is needed to create lasting security. On the other hand, violent extremism concept does not have an agreed definition. The literature on Traditional Counterterrorism (TC) policy has been conducted from a gender-blind perspective, at the most adding women and “stirring” them into the existent mix, instead of meaningfully re-examining the underlying issues of gender and diversity dynamics. In this context, it is important to critically examine how the unequal socialization can lead to violence and become a driver of VE (Violent Extremism) by bringing in the feminist and intersectional perspectives into research design, data collection and analysis. A better understanding of the causes, manifestations, and mitigation practices of violent extremism is required, by critically examining the relationship between gender and extremism, investigating gender-specific factors for radicalization, such as community belonging, social connections, traumas or empowerment narratives. AMALTHEA will address the challenge of limited access to knowledge, collaboration and unified approaches against gender-related radicalisation via in-depth research and delivery of innovation in three complementary fields: (i) Knowledge creation, targeting LEAs, CSOs, social support professionals, teachers and other P/CVE practitioners; (ii) Knowledge modelling, management and sharing to improve understanding of the role of gender in VE/CVE; and (iii) Tailor-made tools for LEAs and CSOs that will enable engagement, collaboration, efficient policy making and optimised decision making towards de-radicalisation.

PRESERVE will deliver a trustworthy, transparent, and easy-to-use Hybrid C-UAS C2 platform supporting Police Authorities with the prevention, early detection and optimal management of operational response against current and emergent threats in drone technology, increasing the security of citizens in public spaces and contributing significantly to the novel EU Counter-UAS policy. By fusing heterogeneous data from an array of physical sensors and online sources, the project will tackle the so far unmanageable threat of weaponised consumer drone swarms through open-source knowledge by non-state actors. PRESERVE will produce s multidimensional shield synthesised into four Products: “Swarm-based C-UAS Arsenal” (P1-SECURE), “Online Drone Intelligence Engine” (ODIN), the “PRESERVE platform” (P3), as the integral solution, and the “C-UAV Training Programme” (P4). PRESERVE platform and products will be validated in near-real environments targeting specific Pilot Use-Cases (PUC), where the real needs expressed by the end-users will be addressed. The flexible and scalable architecture of the PRESERVE platform will allow end-users to implement the platform as a whole or to adopt only specific services and tools based on their operational needs. Theoretical and practical UNITAR-certified trainings, hands-on experience, table-top exercises and field full-scale exercises will boost the uptake of PRESERVE products. The platform development will be governed by ethics, privacy-by-design and AI-trustworthiness, considering EU and relevant national legislations, as well as societal aspects. With four Police Authorities, six Research institutions, four Industry partners (including three SMEs), two Regulatory, Policy, Standard, and Social experts and two Affiliated Entities, the PRESERVE consortium delivers a strong multidisciplinary combination of expertise and novel technologies to meet its objectives.

ARMADILLO aims to equip Law Enforcement Authorities (LEAs) and more particularly, Police Authorities and Forensic Institutes, with a holistic, ground-breaking, easy-to-use, portable toolset that rapidly detects GHB concentrations in urine, saliva and beverages. To realize this, the project will focus on the design and development of in-situ GHB detection systems, integrating advanced optical spectroscopy and electrochemical techniques for precise GHB identification in the different matrices. Both optical and electrochemical detection techniques will be integrated to portable readers capable of quantitative GHB on-site determination. The optical spectroscopy techniques will explore surface-enhanced signal-based approaches (Raman and fluorescence) alongside paper strip methods, while electrochemical detection will combine a specialized fluidics module and NAD/NADH electrodes. In parallel, GHB-specific antibodies will be developed aiming to further enhance its detection selectivity and accuracy. The project will prioritize the enhanced collection and sharing of forensic evidence, emphasizing on forensics' data management and ensuring interoperability and harmonization across systems. By integrating data fusion mechanisms, it will provide reliable, safe, and court-proof forensic evidence, while also leveraging the potential of AI for refined Raman analysis. Concurrently, it will undertake a comprehensive risk assessment to bolster prevention strategies against drug-facilitated violence and assault, all while standardizing user interfaces and employing advanced visualization and reporting techniques. In order to avoid clinical trials and comply with the ethical considerations including the privacy and safety of any involved human subject, ARMADILLO will assess the accuracy, sensitivity and specificity of its sensing technologies using synthetic samples that simulate a wide range of GHB concentrations in urine and saliva samples.