Nature uses foam or sponge-like structures in various organisms for purposes like shock absorption, noise reduction, and vibration compensation in a remarkable example of evolutionary adaptation and functional design. On the other hand, many products still rely on non-sustainable materials of fossil-based origin, for example foams and elastomeric used for vibratory motion, sound, harshness, energy, and shock-impact absorption in industries such as automotive, aerospace and marine. Example of such Noise Vibration and Harshness (NVH) materials are rubber and engineering resins. Bio.3DGREEN develops and demonstrates a novel manufacturing approach for a cost-effective bio-inspired platform of bio-based components based on graphene foam (GF) to meet the industrial needs, i.e. vibration, sound and shock-impact absorption and durability in extreme conditions. Bio.3DGREEN democratizes graphene technology and enables the unscalable fabrication of graphene-based components of complex geometries to be demonstrated at TRL 6 through a high throughput, laser-based Additive Manufacturing (AM) procedure. The procedure is bio-inspired, mimicking structures such as the human bone, and is based solely on bio-based graphene system with vegetable oil as the raw material, resulting in carbon-positive manufacturing of the new components. Bio.3DGREEN demonstrates the superior bio-based GF parts in four different industries, aiming to drive the optimization of the new manufacturing approach through an application-driven approach: Automotive suspension systems & isolation panels, aerospace applications and quiet shipping. Bio.3DGREEN achieves a multi-disciplinary approach to develop, optimize, and improve smart manufacturing application-driven, bio-based GF components, also considering the performance of current materials used, their cost, market size, wastage and recyclability, sustainability of manufacturing process, inclusion in Europe’s circular economy and LCA, LCC aspects.

Several products embed different types of electronic components, and they are even more fundamental in some of the European strategic markets (e.g. automotive). However, reference producers come from extra-EU countries in the far-east side of the world (e.g. China and Taiwan). Trying to cope with all these challenges and the current semiconductors crisis, the European Commission (EC) published (and in some cases is still working on) specific EU strategies/directives for automotive, e-waste (e.g. Digital Product Passport) and, specifically, semiconductors (e.g. European Chips Act). However, trying to make these sectors more sustainable, circular and resilient, it is mandatory to boost both EoL strategies (e.g. sorting, reuse, remanufacturing and recycling) and intra-EU production through innovations and investments. The current international scenario represents a good chance to decouple the European economy from both natural resource depletion (e.g. Critical Raw Materials - CRMs) and dependency from extra-EU supplies of strategic products. In order to better prove what the benefits are of a joined circular/resilient use of secondary resources, the automotive and mass electronics sectors have been identified as the reference contexts for establishing a set of innovative solutions. To this aim, the CIRC-UITS project will focus on demonstrate the improvement to the circularity of automotive and mass electronics sectors by reuse of semiconductors from different sources, as well as support the reuse & remanufacturing of semiconductors into new (high added-value) components and products in these sectors.

Public services (as all others) are reaching the Digital Single Market (DSM). Secure and respectful electronic identity (eID) management is an important enabler for trust and confidence in the DSM. Emerging technologies can disrupt eID and have strong potential for empowering existing initiatives. In particular, IMPULSE focuses on 2 of the most promising and disruptive technologies nowadays: Artificial Intelligence (AI) and Blockchain, and their contributions to and impacts on eID. IMPULSE will carry out a user-centric and multidisciplinary impact analysis on the integration of Blockchain and AI on eID in public services, evaluating benefits but also risks, costs and limitations, considering socio-economic, legal, ethical and operational impacts, together with framework conditions (like GDPR and eIDAS regulations, existing eID systems, and standards). IMPULSE will use a demand-driven co-creation process as the guide, including pilot-oriented operational experimentation and involving Digital Innovation Hubs. A set of 6 representative and innovative case studies in Denmark, Spain, Bulgaria, Iceland and Italy, led by public service partner, will provide a variety of cultural, operational, legal, procedural and social contexts for research. Two major outcomes will be produced: 1) Holistic AI and blockchain technology supporting GDPR-compliant eID to complement existing EU identity schemas, ensuring cross-border access and secure and adaptable requirements for actionable integration with other public service providers, and adoption by existing Trust Service Providers (TSP) to ensure marketability. 2) Actionable roadmaps (detailing pathways and good practices) for the adoption, escalation and sustainability of such advanced eID technologies by public services in the EU ecosystem, in different countries and at different levels (local, regional, national and cross-border), as well as recommendations for policy makers supporting political accountability and responsibility.

European materials industry is considered a key enabler for industrial development and the EU has a historically strategic position in this sector. However, there is a low uptake in European materials industry for digital technologies. Hereby, it is crucial to provide all stakeholders of the EU with advanced digital technologies to evolve towards an agile European materials industry with intelligent enterprises that maximise and integrate the utility of digital materials sciences knowledge. DiMAT will develop Open Digital Tools with a set of advanced technologies for offering European SMEs and Mid-Caps an affordable (in terms of cost, implementation and usability) full modelling, simulation and optimisation system in each stage of the material value chain (design, processing and manufacturing) for improving quality, sustainability, effectiveness, and competitiveness of materials. DiMAT will deploy 3 integrated Suites: 1) DiMAT Data and Assessment Suite: digital technologies for storing, sharing, representing and assessing materials data; 2) DiMAT DiMAT Modelling and Design Suite: digital technologies for material design, in terms of their internal structure, properties and performance, in order to predict the material behaviour before manufacturing; 3) DiMAT Simulation and Optimisation Suite: digital technologies for creating efficient materials manufacturing simulation processes and determining the behaviour of the material mechanical characterization models to be used in the AI training and prediction. The DiMAT Suites will be demonstrated in 4 Pilots of European designers and producers of different materials: textile, composite, glass and graphite.

The capacity to generate data in Life Sciences and health research with modern omics and imaging technologies has increased many orders of magnitude in the last decade. In combination with patient/personal derived data such as electronic health records, patient registries and -databases, as well as life style information this Big Data holds an immense potential for clinical applications, especially for in silico personalized medicine approaches. However, and despite the ever progressing technological advances in producing data, the exploitation of Big Data information to generate new knowledge for medical benefits, while guaranteeing data privacy and security, is lacking behind its full potential. A reason for this obstacle is the inherent heterogeneity of Big Data and the lack of broadly accepted standards that allow interoperable integration of heterogeneous health data to perform analysis and interpretation for predictive in silico modelling approaches in health research such as personalized medicine. Further obstacles are legal issues surrounding the use of personal data. To overcome these obstacles, we will establish a pan-European Expert forum with two main objectives: (i) to assess and evaluate national standardization strategies for interoperable health data integration (such as omics-, disease-focused-, clinical-/treatment- or healthcare- and socioeconomic-/lifestyle-data) as well as data-driven in silico modelling approaches and (ii) to harmonize and develop universal (cross-border) standards as well as recommendations for in silico methodologies applied in personalized medicine approaches. This pan-European Expert Forum —the EU-STANDS4PM consortium— has the overarching aim to bundle transnational standardization guidelines for in silico methodologies in transnational and clinical research to unfold the potential of personalized medicine.