The European submarine networks are vital critical infrastructure for the EU member states. This submarine cable and pipeline network is crucial for the European society and any failure or damage to it could potentially have an enormous effect on the societies. Due to the rapidly evolving threat and geopolitical landscape, especially with incidents like the sabotage of the Nord Stream 1 and 2 gas infrastructure, organizations overseeing critical infrastructure face significant challenges. They must handle intentional threats while also grappling with growing problems caused by accidental and natural factors as well as climate change. These issues can worsen the effects of deliberate actions. To address these challenges effectively, it is crucial for these entities to implement resilience-enhancing measures. The aim of VIGIMARE is to strengthen the resilience of Critical Infrastructure operators against threats to the European submarine critical infrastructure by developing, testing and evaluating an innovative solution to enhance security and reduce risks of physical and cyber-attacks on submarine cables and pipelines. This will be accomplished by 1) mapping submarine systems, surveying cables and landing stations, and assessing vulnerabilities in the European submarine critical infrastructure network, 2) develop an automated threat detection approach, creating a real-time shared awareness of the surface above the submarine infrastructure to promptly indicate incidents to both critical infrastructure owners and member states authorities. By integrating a comprehensive resilience ecosystem with real incidents at sea, the project seeks to 3) identify early warning signals, support analysis, and pinpoint potential response activities to address physical, cyber and hybrid threats. The result will be enhanced resilience for submarine critical infrastructure owners, supporting authorities to enforce the CER and NIS2 directives implementation in the EU member states.

6G is envisioned to accelerate the path started in 5G for catering to the needs of a wide variety of vertical use cases, both current and emerging. This will require major enhancements of the current 5G capabilities especially in terms of bandwidth, latency, reliability, security, and energy. PREDICT-6G’s mission is therefore set towards the development of an end-to-end 6G (E2E) solution including architecture and protocols that can guarantee seamless provisioning of services for vertical use cases requiring extremely tight timing and reliability constraints. To succeed, the solution will target determinism network infrastructures at large, including wired and wireless segments and their interconnections. PREDICT-6G will develop a novel Multi-technology Multi-domain Data-Plane (MDP) overhauling the reliability and time sensitiveness design features existing in current wired and wireless standards. The ambition is for the MDP design to be inherently deterministic. To achieve this, PREDICT-6G will develop an AI-driven Multi-stakeholder Inter-domain Control-Plane (AICP) for the provisioning of deterministic network paths to support time sensitive services as requested by end-customers and with different scaling ambitions, e.g., from the network in a single vehicle to a large, geographically dispersed network. This requires timely monitoring and prediction of the behavior of the complete network, including identifying potential sources of quality violations and analyzing various routes of the traffic flows. These capabilities will be delivered through the PREDICT-6G AI-powered Digital Twin (DT) framework, allowing the prediction of the behavior of the end-to-end network infrastructure, and enabling anticipative control and validation of the network provisions to meet the real-world time-sensitive and reliability requirements of the running services.

TRIBIOME's vision is to develop and implement a systemic solution to transform current food production systems. To this end, TRIBIOME aims to advance alignment with the Green Deal and Farm2fork strategies, by deepening the knowledge of soil/plant/animal and human microbiomes, as well as their interrelationships and interconnections, so that they can play a leading role in the resilience of food production systems in the near future. TRIBIOME will face the main challenges such as the need to minimize resources, reduce the environmental impact and promote healthy and plant-based food chain while feeding a constantly growing world population under the paradigm of climate change. This project aims to drive this concept from its base, establishing its central nucleus in current agricultural production systems based on the relevancy of the soil and plant microbiome, in order to produce more with less, through knowledge of microbial biodiversity and its interaction with the plant, developing novel technologies to influence its modulation (i.e., those enhancing plant growth, nutrient use efficiency, abiotic stress tolerance and better nutritional and health quality of food products) in such a way as to generate an upgrade quality food and have a positive influence on the microbiomes of both animals and humans. To this end, we will work cooperatively in a multiactor approach framework with all actors in the food production systems chain, from farmers to consumers, industry, investors and policy makers, in order to develop systemic solutions that guarantee their implementation and solve the real problems and needs of society.

MAGNETO addresses significant needs of law enforcement agencies (LEAs) in their fight against terrorism and organised crime, related to the massive volumes, heterogeneity and fragmentation of the data that officers have to analyse for the prevention, investigation and prosecution of criminal offences. These needs have been identified after consulting with eleven different European LEAs –members of the MAGNETO consortium. In response, MAGNETO empowers LEAs with superior crime analysis, prevention and investigation capabilities, by researching and providing tailored solutions and tools based on sophisticated knowledge representation, advanced semantic reasoning and augmented intelligence, well integrated in a common, modular platform with open interfaces. By using the MAGNETO platform, LEAs will have unparalleled abilities to fuse and analyse multiple massive heterogeneous data sources, uncover hidden relationships among data items, compute trends for the evolution of security incidents, ultimately (and at a faster pace) reaching solid evidence that can be used in Court, gaining also better awareness and understanding of current or past security-related situations. In parallel, MAGNETO will spark an ecosystem of third-party solution providers benefiting from its open, modular and reusable architectural framework and standard interfaces. To achieve these objectives, MAGNETO will test and demonstrate its developments on five representative and complementary use cases (types of crime), under real-life operational conditions in the facilities of eleven different LEAs, keeping them continuously in the production loop, adopting an agile implementation methodology and a multi-disciplinary scientific approach, combining researchers with exceptional track records, officers with top-level operational know-how in law enforcement, recognised experts for legal and ethical compliance to EU and national standards, and qualified training experts for innovative curricula development.

The MatCHMaker project is determined to support excellence in research on methods and tools for advanced materials development. MatCHMaker will enable the integration and interoperability of complex C&M workflows matching the needs of EU manufacturing industry. Requirements on multiphase and multiscale materials coming from Construction, Energy and Mobility sectors will be translated into specific innovation challenges that can be addressed by an integrated approach combining characterization and (physics and data-based) modelling for establishing the process-microstructure-macroscopic properties correlation in advanced materials in a reproducible and efficient way reducing development costs, time and risks while improving sustainability. Knowledge transfer, data sharing and full interoperability between C&M “communities” will be facilitated using data related standards (CHADA, MODA, EMMO) and by the creation of an open repository with connection to design and manufacturing processes. The repository will be based on Semantic Web to represent rich and complex ontologies. EMMO is the starting point, domain and application ontologies related to MatCHMaker use cases and providing a fully semantical vocabulary to describe the produced C&M data will be developed. Standardisation of MatCHMaker ontologies, data documentation and domain ontologies will be sought via engagement in specific activities (e.g. collaboration with EMMC, EMCC, OntoCommons CSA). The ambition of MatCHMaker is to validate project results on three Use Cases (UC) representatives of low carbon and clean industry: UC1\Construction\Cement; UC2\ Energy\ Solid Oxide Fuel Cells/Solid Oxide Electrolysis Cells (SOFC/SOEC); UC3\ Mobility\Proton-Exchange Membrane Fuel Cells (PEMFC). The project will foster synergies and interaction with EMMC and EMCC to align MatCHMaker results to councils’ objectives.