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 2016 European Union Global Strategy for Foreign and Security Policy (EUGS) highlights the need to enhance external policies by pursuing better communication, information-sharing, joint reporting, analysis and response planning between member state embassies, EU delegations, Commission services, EU Special Representatives and Common Security and Defence Policy (CSDP) missions. The CIVILnEXt project supports the development of a solution addressing existing “fragmentation” and closing “gaps”. To provide civilian CSDP missions with the next generation of secure and cost-effective information systems: a situational awareness, information exchange and operation control platform (OCP). Fully informed of contributing initiatives in civilian CSDP and EU external action, the project will aim to develop solutions leveraging on the results extracted from projects funded by the EU. The common challenge in CIVILnEXt is to develop, test and validate a cost-effective and interoperable operation control platform (OCP) that will support the conduct of civilian CSDP missions. The OCP will improve coordination in EU external action through better information exchange, situational awareness and operation control in diverse theaters of operation. It will support the EU’s comprehensive approach in complex missions, including the civil-military cooperation within CSDP, facilitate the engagement CSDP actors, creating links EU Delegations, FRONTEX, ECHO and other EU activities, member states, as appropriate, and other partners such as the UN and regional organisations. CIVILnEXt engages the participation of four national competent authorities, active in EU external policies and the UN organisations IOM. They share the need to become beneficiaries of procurement results that enhance the effectiveness of civilian CSDP. They are co-financing the action under one single joint procurement, supported by technical and policy advisors, with extensive CSDP experience.

Doctoral Training Partnerships: a range of postgraduate training is funded by the Research Councils. For information on current funding routes, see the common terminology at https://www.ukri.org/apply-for-funding/how-we-fund-studentships/. Training grants may be to one organisation or to a consortia of research organisations. This portal will show the lead organisation only.

To develop and optimise new glass fibre material through embedding expertise in crystallisation behaviour and compositional modification.