PALAESTRA is a modular and adaptable platform designed to transform the training landscape for Chemical, Biological, Radiological, Nuclear, and explosive (CBRNe) incident response across Europe. By integrating advanced technologies such as AI-driven scenario generation, digital twin-based training environments, and real-time physiological monitoring, PALAESTRA aims to modernize and enhance the preparation, execution, and evaluation of training exercises. The platform addresses current challenges in CBRNe training, such as the high costs, expertise requirements, and inefficiencies in scenario creation and evaluation. It simplifies these processes through automated tools, enabling institutions to create realistic and data-driven exercises with reduced reliance on specialized knowledge. PALAESTRA also improves safety and engagement by offering immersive simulations that replicate real-world crises without exposing trainees to actual hazards. Designed to strengthen the civil security sector, PALAESTRA emphasises inclusivity, compliance with EU regulations such as GDPR and the AI Act, and ethical AI usage. By reducing instructor workload, enhancing knowledge transfer, and improving access to state-of-the-art training methods, the platform aims to elevate CBRNe preparedness and response capabilities across Europe. This scalable solution provides a cost-effective way for training facilities to adopt advanced methodologies, fostering a more resilient and better-prepared civil security landscape.

The building sector holds a prominent position in energy consumption (40%) and CO2 emissions (36%) within the European Union. Moreover, current construction and renovation practices are huge raw material consumers and highly waste producers. Despite the efforts, on an EU scale, renovation rates are far below the minimum required, now only reaching around 1% of the building stock per year. These drawbacks bring forward the impact of rising material extraction, shrunk global circularity from to 7.2% in 2023. To facilitate closing this performance and design-to-market gap in the built environment, DeCO2 aims to address the compelling need for advancing innovative technological applications and solutions on the built environment, focusing on building elements, materials, products, and technologies. The project also aims to set up solid and long-lasting partnerships within the legal and regulatory framework and other stakeholders addressing the whole value chain for socio-economic innovation, facilitating to close the performance and design-to-market gap, including for historical and cultural heritage buildings. A well-segmented audience targeting developers, policymakers, and the construction industry will ensure effective market penetration, as DeCO2 is projected as an aligned solution to the EU's sustainability aspirations. Collaborative engagement, showcasing tangible benefits and dedicated digital presence will embrace the entire building-life cycle and all the relevant stakeholders involved in each innovation action stage of renovation projects, materials, and techniques (targeting TRL 8) that contribute to space users overall health and wellbeing, comfort and inclusivity.

Industrial process heating accounts for 16 % of total final energy demand and 13 % of the greenhouse gas emissions in the EU. Decarbonizing industrial process heating through electrification and increased energy efficiency is a key measure for reaching the climate targets in 2030, reducing the dependency on fossil fuels, strengthening the exploitation of local renewable energy sources and increasing the competitiveness of the European industry. While there are highly efficient technologies, such as industrial heat pumps, available for temperatures below 150 °C, there is a clear demand for novel technologies for processes with heat demands at higher temperatures. EEETHOS will fill this technology gap by developing key-enabling technologies for energy efficient, flexible and decarbonized process heating, and demonstrating them in five installations at industrial end-users at a TRL of 7. The technologies comprise among others, two high-temperature heat pump solutions for steam supply at up to 200 °C, a reversed Brayton heat pump with supply temperatures up to 300 °C, an innovative technology for heat pump-based drying and heating of minerals, a highly integrated steam compression-based solution for superheated steam drying and a heat capturing device for radiative waste heat recovery. These key-enabling technologies will be demonstrated in 5 demonstrators at industrial end-users representing EUs energy intensive process industries: asphalt, ceramics, pulp & paper, bricks and steel. These technologies are scalable for plant-wide implementation, allow a complete decarbonization at energy savings between 43 % to 86 %, based on local renewable energy sources. The development, implementation, operation and scaling of these technologies is optimized by use of digital twin-based solutions. The project will be a cornerstone for enabling a decarbonized, efficient and competitive European industry, by developing and demonstrating key-enabling technologies at large scale.

ACCOMPLISH aims at increasing the readiness of enterprises of any size to face an era of unprecedented regulatory scrutiny by simplifying, integrating and automating compliance in their data/AI operations, their data/AI assets, their solutions and eventually their overall organisations. ACCOMPLISH will deliver a novel AI-based compliance and certification framework cross-cutting the regulatory/legal, environmental, cybersecurity and business/industry-specific compliance perspectives to modernise, automate and trace the compliance and certification processes with the help of open-source, well-defined and extensible compliance policy models while always ensuring a human-in-the-loop (HITL) approach explaining the compliance requirements and results, as well as proactively alerting about any potential risks/violations. Through the ACCOMPLISH Compliance Digital Passport, the previously “static” compliance and certification assessments will be transformed into up-to-date compliance proof that effectively promotes transparency and accountability for any interested stakeholder. ACCOMPLISH shall also deliver inherently-compliant data economy enablers for Data/AI operations, as reliable mechanisms to design, execute, and trace/observe the data and AI/ML pipelines, as well as to monitor/control their outputs (in terms of datasets, ML/DL models, analytics results). In order to demonstrate the actual innovation and added value that can be derived through the ACCOMPLISH advancements, the ACCOMPLISH results will be validated: I. Through their actual application to address real-life problems in four representative industries that are characterised by a varying maturity level of data/AI operations and compliance: (a) Energy, (b) Automotive, (c) Robotics & Manufacturing, and (d) Aviation; II. Through their integration in different digital solutions, either open source or commercial, to showcase their application within the established data spaces and/or AI market landscape.

EnerTEF responds to the soaring demand for reliable AI products in the evolving energy sector. It pioneers a Common Federated AI Testing and Experimentation Facility to bridge the gap between demand and limited availability of rigorously tested AI products. Aligned with European Commission initiatives, EnerTEF leverages foundational projects like the Common European Energy Data Space and AIoD. Through specialized 'AI Living Labs,' EnerTEF fosters collaboration between energy stakeholders and AI developers to create adaptive models that align with evolving energy systems. 'Bridging Centralized Access' ensures data privacy and security in federated testing, adhering to EU regulations and addressing ethical concerns. 'Seamless Federated Integration' tackles integrating AI technologies across domains, enhancing cross-sector collaboration. 'Long-term Sustainability and Go-to-Market Strategy' focuses on bringing AI innovations to market. In a nutshell, EnerTEF's primary goal is to establish a Common European-scale Energy AI Federated TEF, facilitating extensive adaptation, validation, and upscale of AI tools and services across the energy sector. The project's network of five primary nodes, complemented by three satellites, ensures a comprehensive approach to testing AI-based technologies in real-world operational environments. This setup contributes to the market uptake of trustworthy AI, ensuring their readiness, accessibility, and applicability to real-world scenarios.