To an ever-increasing extent, web-based services are providing a frontline for healthcare information in Europe. They help citizens find answers to their questions and help them understand and find the local services they need. However, due to the number of languages spoken in Europe, and the mobility of its population, there is a high demand for these services to be available in many languages. In order to satisfy this demand, we need to rely on automatic translation, as it is infeasible to manually translate into all languages requested. The aim of HimL is to use recent advances in machine translation to create and deploy a system for the automatic translation of public health information, with a special focus on meaning preservation. In particular, we will include recent work on domain adaptation, translation into morphological rich languages, terminology management, and semantically enhanced machine translation to build reliable machine translation for the health domain. The aim will be to create usable, reliable, fully automatic translation of public health information, initially testing with translation from English into Czech, Polish, Romanian and German. In the HimL project we will iterate cycles of incorporating improvements into the MT systems, with careful evaluation and user acceptance testing.

ARIEN proposes the execution of a comprehensive workplan that thoroughly addresses the call topic aligned to the 2021-2025 EU Drugs Action Plan (DAP) achieved through a holistic innovation action that builds a real-time intelligence picture illegal drug production and trafficking incidence across the EU bolstered by AI-driven tools to understand, detect, analyse and track the entire drugs trafficking chain, its financial flows and the role of black-markets in the global darknet and their relationships with of social media. ARIEN builds on a strong platform of multi-disciplinary research, following a co-creation approach, across the criminological, societal, and legislative landscapes that will make recommendations for harmonization and drive an agenda for the development of modular solutions embedding modern Artificial Intelligence (AI) techniques and best practices for international cooperation in data-rich environments in a legally and ethically compliant manner. Aiming at improving the investigative capability of LEAs on illegal drugs production and trafficking, ARIEN will leverage on innovative AI techniques to monitor online illicit drugs markets and collecting precious information on physical drug-dealing hotspots through social media. Additional layers of analysis, supported by explainable AI (XAI) methods, will provide actionable knowledge on modus operandi and emerging threats and trends both on drugs and drug-related organized crime networks through integrations with criminal records data and detection of online activities. Moreover, ARIEN will promote effective strategies on international cooperation among EU and non-EU LEAs, Customs and Border Guards Authorities and policy makers to enhance investigative activities against criminal groups, capitalising on effective AI techniques.

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.