TEXTaiLES goal is to redefine the digitization of Cultural Heritage (CH) textile objects and the development of AI-based processing tools, aiming to establish a standardized protocol that seamlessly integrates into the ECCCH. By studying past and present practices in textile digitization, we methodically explore their strengths and limitations. This comprehensive assessment, enriched by contributions from co-designer groups across various use cases, helps us identify the essentials of textile digitization. Our approach to standardization is all-encompassing. We develop advanced tools that address the entire digitization life cycle of textile objects, focusing on non-destructive methods. Using robotic, cost-effective multi-sensor solutions, we ensure the preservation of artefacts during digitization, complemented by reliable data analysis workflows. Innovation lies within the core of TEXTaiLES. We integrate state-of-the-art AI technologies to shed light on the intricate details of textiles. From revealing their weaving patterns and microstructures to identifying degradation factors, our AI-driven toolkit offers in-depth insights. It further excels in motion modeling, dynamics, and the reconstruction of fragmented or lost objects. All these capabilities merge into a groundbreaking 4D multi-scale annotation interface, coupled with a digital twin model and enhanced by human-in-loop interactions. Our commitment to the CH community remains strong. We aim to embed the tools and techniques developed by TEXTaiLES into archaeological research, facilitated by the ECCCH. By supporting interdisciplinary research communities and providing upskilling opportunities, we aim to raise the textile CH domain to new heights.

As its surroundings changes radically and climate conditions deteriorates, Europe and its Members adapt to these current challenges. To this end and in order to maximise their usability, the EC established a framework of a common policy (EU Security Market study) by categorizing potential technologies per security domain, including Critical Infrastructure (CI) Protection. This trend is indicative for the importance and significancy that the EC gives to these matters. Any potential disruption, either intentional as a terrorist attack or a natural disaster, may risk smooth operations of such structures that may have a severe impact on a local society and its daily activities or well-being. Current advancements in various technologies can be particularly beneficial in CI protection especially when they can provide a timely support without the necessity of a human in the loop. TESTUDO, aligned with the need of a holistic and autonomous security approach in CI protection domain and with the European Commission’s objectives, will utilize advanced unmanned vehicles along with existing equipment to deliver a highly mature platform for continuous monitoring even at harsh environments and remote territories. Tailored to the needs of the domain and targeting to maximize the platform’s autonomy capabilities, TESTUDO intends to incorporate state-of-the-art technologies for detection, prevention and prediction increasing their cognitive capabilities for different types of hazardous events. In addition, optimization techniques will identify the resources needed for the execution of high-level missions contributing to the total autonomy of the deployable system. A multidisciplinary group of technical innovators for AI-based models, CBRN, cyber-security detection, Digital twins and XAI along with the CI-related experts will collaborate to deliver an innovative action and solution to protect various CIs during a long operational period and completely autonomously.

The project addresses the security and the resilience of EU Ground Segments of Space Systems, meeting the crosscutting and the sectorial criteria of the EU critical infrastructures (2008/14). The Copernicus era has created a new market with the massive amounts of satellite data that the ground segments of space systems receive serve to the market and governmental bodies. A physical/cyber-attack to their installations or communication networks, respectively, would cause debilitating impact on public safety and security of EU citizens and public authorities. A physical attack on a space ground segment makes the distribution of satellite data problematic and, on the other hand, a cyber-attack in its data storage, access and exchange affects not only the reliability of space data, but also their FAIR standards: findability, accessibility, interoperability and reusability. Current approaches do not fully exploit the recent advances in surveillance mechanisms with robotic technologies and AI. 7SHIELD will be an integrated yet flexible and adaptable framework enabling the deployment of innovative services for cyber-physical protection of ground segments, such as e-fences, passive radars and laser technologies, multimedia AI technologies, that enhance their protection capabilities, while integrating or interoperating with existing protection solutions already deployed at their installations. The framework will integrate advanced technologies for data integration, processing, and analytics, machine learning and recommendation systems, data visualization and dashboards, data security and cyber threat protection. The technological solution is co-designed with first responders’ teams and contributes to policy making, standardisation and new guidelines for contingency planning and service continuity. The project will be evaluated and demonstrated in five installations of ground segments of space systems.

Considering the socio-ecological transition of Europe 2030, and towards a more resilient and informed community, focusing on the forests that are near wildfire risk, TREEADS aims to build upon state-of-the-art high TRL products and unite them in a holistic Fire Management platform that optimize and reuse per phase the available Socio-technological Resources in all three main phases of Wildfires. For the prevention and preparedness TREEADS propose the use of a real-time risk evaluation tool that can receive multiple classification inputs and work with a new proposed neural network-powered Risk factor indicator. To create a model of Fire adapted communities (FAC) in parallel to insurance incentives, TREEADS will use alkali activated construction materials (AAM) integrating post-wildfires wood ashes (PWA) for fire-resilient buildings and infrastructure. TREEADS also uses a variety of technological solutions such as the Copernicus infrastructure, and a swarm of small drones customized for accurate forest supervision. In the area of Detection TREEADS propose a variety of toolsets that will accommodate most needs. Stemming from Virtual reality for the training, wearables for the protective equipment of the emergency responders. to UAV (drones), UAG and airships for improving capacity in temporal and spatial analysis as well as to increase the inspected area coverage. Last, TREEADS will build a new land and field-based restoration initiative that will use all modern techniques such as agroforestry, drones for seed spread, Internet of things sensors that will be able to adapt the seeding process based on the ground needs and on the same time with the help of AI to determine post-fire risks factors. TREEADS solution will be demonstrated and validated under real operating conditions. Demonstration will involve Eight complex pilot implementations executed in seven EU countries and in Taiwan.

The constantly increasing demand of scarce resources and critical raw materials (CRMs), requires efficient usage of resources - reuse and recycling of materials- and responsible waste management and prevention. The circular economy’s model establishes a virtuous cycle where products and resources can be reused, repurposed and recycled to maximize productivity of resources, to reduce waste and by products that can become raw materials (RMs) entering in other industrial processes, thus reducing the depletion of natural resources and the overall environmental effects on climate change. Plooto aims to deliver a Circular and Resilient Information System (CRIS) to support manufacturers in their green, digital and circular transition. CRIS enables waste reduction and end-to-end traceability of Secondary Raw Materials (SRM) through interconnected digital services for real-time decision making, monitoring and certification of materials and products. Plooto delivers: a) a transformation framework based on traceability strategies for materials/products per business case, with reference processes for SRM use from waste deposit to new products, and governance models for circular value chains; b) ICT tools for modelling product, production processes and supply chains, as an aggregation of individual component Digital Twins with cognition capabilities (cognitive Digital Twins – CDTs); c) Data will feed RM-recovery and waste dataspaces allowing the provision of material certification and product passport; and d) A circular sustainability balanced scorecard (framework+toolkit) to assess impact of decision-making at CDT level based on various KPIs. The solution will be piloted in three different circular supply chains demonstrating waste reduction, reusability of scrap and production by-products, operational improvement.