655 Projects, page 1 of 66

  • European Commission
  • 2022
  • 2026

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 101077587
    Overall Budget: 37,839,600 EURFunder Contribution: 24,198,300 EUR
    Partners: NAVYA, ALTRAN, UITP, Pforzheim University of Applied Sciences, CERTH, MODAXO EUROPE AS, Bax & Company, SENSIBLE 4 OY, SIEMENS AKTIENGESELLSCHAFT, ARTHUR'S LEGAL...

    During the past few years many projects and initiatives were undertaken deploying and testing Automated Vehicles (AVs) for public transportation and logistics. However in spite of their ambition, all of these projects stayed on the level of elaborated experimentation and never reached the level of a large-scale commercial deployment of transport services. The reasons for this are many, the most important being the lack of economically viable and commercially realistic models, the lack of scalability of the business and operating models, and the lack of user oriented services required for large end-user adoption of the solutions. The ULTIMO project will create the very first economically feasible and sustainable integration of AVs for MaaS public transportation and LaaS urban goods transportation. ULTIMO aims to deploy in three sites in Europe 15 or more multi-vendor SAE L4 AVs per site. A user centric holistic approach, applied throughout the project, will ensure that all elements in a cross-sector business environment are incorporated to deliver large-scale on-demand, door-to-door, well-accepted, shared, seamless-integrated and economically viable CCAM services. We target the operation without safety driver on-board, in a fully automated and mission management mode with the support of innovative user centric passenger services. ULTIMO’s innovative transportation models are designed for a long-term sustainable impact on automated transportation in Europe, around the globe and on society. The composition of the consortium ensures the interoperability between multiple stakeholders by making adoption of new technology at minimum costs and maximum safety. The integration of the ongoing experiments of previous AV-demonstrator projects ensures highest possible technical and societal impacts from the very beginning of the project, as well as during the project lifetime and even long after its completion.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 101058416
    Overall Budget: 1,999,830 EURFunder Contribution: 1,999,830 EUR

    H4C Europe project will create a European Community of Practice (ECoP). It will provide a community, knowledge platform, and exchange structures that will help the existing and future hubs in creation, management, and growth, by overcoming barriers to IS/I-US/C. The ECoP is set up to be self-sustaining. 10 existing Hubs have committed to join as ECoP Founding Members. The ECoP will preserve the findings of IS/I-US/C research and innovation projects, especially those funded by the EC and member states. It will organize a continuous exchange of ideas and best practices and facilitate in-depth exchanges between experts to identify bottlenecks, evaluate the outcomes of related projects, and propose innovative approaches to overcome bottlenecks. Possible topics include the financing and operation of IS infrastructures, matching demand and supply in IS and I-US, sharing benefits, cross-border exchange of materials, water, and waste-water systems, regulatory issues in the use of secondary raw materials, the tension between re-use and use of waste as feedstock, to name a few. Digitalization is a transversal enabling aspect of IS/I-US/C and the usage of digital tools will be an important aspect of each expert group. In line with the call and to achieve its vision, the CSA will work along four axes: 1) Sustainable Community building and establishment of an IT knowledge platform as a tool, 2) Consolidation and creation of available knowledge by analysis of the state of the art, in-depth discussions of leading experts, and field trials of business models and financial strategies a.o. for large-scale demonstrators, 3) Development of a KPI toolkit for the assessment of the maturity of IS/I-US/C regional initiatives towards H4C and independent evaluation of H4Cs as candidates for lighthouse projects, as well as the elaboration of policy recommendations, 4) Promotion of the H4C concept, societal engagement, and policy recommendations.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 101080085
    Overall Budget: 4,935,150 EURFunder Contribution: 4,935,140 EUR
    Partners: UH, FZJ, TUC, TUHH, Universität Innsbruck, ENGYS

    Scientific and technological progress is broadly underpinned by the ability to accurately predict and optimise complex fluid flows which arise across the physical and life sciences including climate research, as well as in the energy, chemical, automotive, aircraft, and ship building industries. The wide separation of length and time scales that need to be covered when designing and optimising flows and a large number of design parameters make numerical simulations highly demanding. Current capabilities are thus insufficient to meet future demands of users in academia and industry. We will tackle this challenge by developing a quantum software framework for solving a wide range of industrially relevant computational fluid dynamics problems. This will consist of platform-independent quantum algorithms and hardware optimized software for platforms in the European Quantum Technology Flagship Projects. Tensor-network simulations, gate-level classical simulations including realistic quantum noise models, and implementations on quantum hardware will provide detailed information on quantum hardware requirements, achievable quantum advantages, and provide feedback to hardware developers. The quantum software will be verified and benchmarked against standard computational fluid dynamics results. It will be developed in agile cycles to respond quickly to user demands and progress in the quality of quantum hardware. We will demonstrate the feasibility and advantages of the quantum approach starting from a core set of highly scalable and industrially relevant design examples arising in the thermal management of battery-electric-vehicles aimed at increasing their efficiency. Subsequently, we will extend our approach to a wider class of fluid flows and industry partners. We will create an interface between the quantum software framework and the industry standard computational fluid dynamics software OpenFOAM to make it widely available and maximise its impact.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 101075596
    Overall Budget: 3,281,790 EURFunder Contribution: 3,281,790 EUR
    Partners: EWORX, INESC TEC, TH!NK E, Joanneum Research, FLUX50, Steinbeis 2i GmbH, International Cleantech Network, TU/e, ICCS, RDA CLIMATE SOLUTIONS

    The Every1 consortium brings together leading experts in energy and education, and experts in ecosystems combined with social sciences to deliver an impactful concept that includes all elements needed to enable an effective participation of all European stakeholders in the digital energy market. Every1 starts from a deep data-informed understanding of stakeholders and ecosystems (citizen, cities, energy communities, companies, regulators, and distribution grid operators) to map who they are, what they know, how they use information and where they look for it. Similarly are existing and emerging solutions (products and services) assessed and validated, and use cases will serve to understand what stakeholders need to know in order to take up a role that matches their potential. This gap is used to develop learning pathways that lead to the identification of the needed capacity building material. Parallel, Every1 works on making a market by exchanging best practices with policy makers and energy regulators, enabling discussions on barriers, and developing joint communication material for their peers. A strong outreach campaign is launched which focusses on the local level with impactful social media campaigns, material in various languages and spread through the media the local stakeholders use. The operation of the ecosystems is based on the proven EXPLORE SHAPE UNITE approach and includes guided one-on-one support, joint activities, webinars, matchmaking, and more. Future ecosystems are actively engaged and trained, while cooperation with diverse activities and networks will lead to a wider uptake of the capacity building material.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 101059632
    Overall Budget: 10,347,900 EURFunder Contribution: 10,272,900 EUR

    Accelerating the transition from animal-based to alternative dietary proteins – the dietary shift – is key to reducing the footprint of our food system in terms of greenhouse gas emissions (GHG), energy, water and land use, and other relevant environmental impacts, and for improving the health and well-being of people, animals and the planet. GIANT LEAPS delivers the strategic innovations, methodologies, and open-access datasets to speed up this dietary shift, in line with the Farm-to-Fork strategy and contributing to the Green Deal target of reaching climate neutrality by 2050. Achieving the dietary shift in practice is inherently complex due to the diverse set of actors involved and further hindered by major knowledge gaps, scattered across the various alternative protein sources and the domains of health (safety, allergenicity and digestibility), environment (GHGs and other environmental and climate impacts, biodiversity, circularity), and/or barriers to adoption (technological, sensory, and consumer acceptance). The GIANT LEAPS consortium consists of the key actors and spans all expertise to address relevant knowledge gaps and proactively engages to arrive at optimized future diets based on alternative proteins that are broadly accepted across stakeholder groups. In order to deliver required insights for short-, mid- and long-term decision making and impact, GIANT LEAPS protein sources have been selected for either targeted or full assessment based on their current level of specification. The innovations and improved methods combined with accessible and comprehensive information, generated for a wide collection of alternative proteins, will enable policymakers to prioritise changes in the food system towards the dietary shift based on desired impact, value chain actors to make strategic scientific, business and investment choices, and the general public to make more sustainable and healthy dietary choices.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 101058696
    Overall Budget: 16,046,800 EURFunder Contribution: 11,966,300 EUR

    The HEPHAESTUS project is built around one key, overarching objective: To develop a set of scalable and tuneable unit operations, to be built as integrated processing plant, featuring the capacity to treat multiple process wastes deriving from primary mineral and metallurgical (primary and secondary) streams. The unit operations are: - Clean-Tech electric furnace, to transform the EAF and AOD dust into metal alloy to be immediately remelted, process supported with streams of fines by-products from the mineral primary extractions (construction, aggregates and dimensional stone) - EZINEX process, to extract the zinc present in the dust of the furnace - Fibre drawing, for mineral wool manufacturing out of the process slag in molten state - Catalytic conversion of CO2 gas into methanol or formic acid - Ammonia-ammonium carbonate (AAC) and methanesulfonic acid (MSA) based hydrometallurgical processes, to produce a recyclable Fe-rich residue and to recover metals (e.g.e.g., ZnS) from EAF dust The project is targeting primarily small-scale applications (order of magnitude 10 k tons waste dust per year), to cope with the typically fragmented European process size. Such scale is matching the waste volumes and differentiation and granting positive environmental AND economic sustainability through the valorisation of different streams of by-products at low operational and capital expenditure, ensuring vast replicability and short ROI Project will be demonstrated in two pilot applications, in Greece and Italy, with the purpose of creating awareness on the business potential and to generate the conditions for a long-term exploitation, leading to meaningful reduction of wastes for the extractive and steel industries.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 101021361
    Overall Budget: 2,499,280 EURFunder Contribution: 2,499,280 EUR
    Partners: UCPH

    BACKWARD will address major unsettled debates about African and Asian extinct hominid phylogeny, by developing and deploying a new generation of palaeoproteomic workflows, relying on the most advanced mass spectrometry and bioinformatic solutions currently available. Ancient DNA (aDNA) sequencing revolutionised our knowledge on evolution, migration and admixture of archaic and anatomically modern humans. However, no hominid aDNA older than ~0.4 million years has been retrieved yet. Ancient proteins instead survive much longer than aDNA, enabling molecular-based phylogeny beyond the limits of aDNA degradation. Recently, mass spectrometry (MS)-based ancient protein sequencing, i.e. palaeoproteomics, convincingly demonstrated its transformative value, enabling molecular-based evolutionary reconstructions for species that went extinct millions of years ago. BACKWARD will use palaeoproteomics to address: (i) the phylogenetic relationships among South African early hominins, and (ii) the hominid palaeobiodiversity in Southeast Asia; two topics debated for generations, and further complicated by recent finds. This knowledge will also provide the evolutionary scaffolding needed to correctly identify and correlate the series of processes that defined human brain expansion and reorganization. BACKWARD will also screen large sets of morphologically non-informative isolated fossil fragments of bones and teeth, to identify the species and sex of the organism from which they originated. Some of these solutions will be commercially re-purposed to deliver superior performance in public and private analytic laboratories for diagnostics in forensic medicine, and in the food or pharmaceutical industry. As a key BACKWARD feature, the unique contribution provided by each participating institution will be integrated in a strong partnership to transform palaeoanthropology, palaeontology, palaeoecology and archaeology once again, as aDNA did over the last twenty years.

  • Open Access mandate for Publications
    Funder: EC Project Code: 101002047
    Overall Budget: 1,980,920 EURFunder Contribution: 1,980,920 EUR
    Partners: ETH Zurich

    We propose a productive and efficient programming model to overcome the challenges posed by the end of Moore’s law. Our model bases on a fundamentally new spatial viewpoint that considers the computational structure of applications. The growth of the computing industry as well as the development of society at large has relied for 50 years on an exponential scaling law that is now coming to an end. The combination of multiple specialized components into a fundamentally heterogeneous system is one of the most promising approaches that drives the IT industry. Latest advances in computer architecture and silicon design enable cost-effective specialized accelerators. Those range from single-purpose designs, such as deep neural network chips, to general purpose graphics processing units and are combined into complex systems. However, programming these heterogeneous spatial systems that range from single systems on chip to million-core supercomputers is a fundamental challenge of our time. Prevalent parallel programming abstractions largely ignore the structure of the computation and guide programmers to design threads of execution that are scheduled to the machine. We depart from this temporal model to a spatial formulation where we express programs as parametric graphs that are mapped as first-class objects by a human-guided compilation system. We ensure productivity by designing a Python-based frontend and integrate the system with modern web technology. Our programming, compilation, and tuning system will substantially advance the state of the art in computing by supporting the graphical mapping of program graphs to spatial accelerators. We will demonstrate our methods on three challenging real-world applications in important domains. We strongly believe that, without holistic spatial programming, the growing complexity and inefficiency of heterogeneous programming will create a scaling wall that will severely limit our future computational capabilities.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 101047137
    Overall Budget: 1,904,540 EURFunder Contribution: 1,904,540 EUR
    Partners: ICFO, CNR, POLITECNICO DI MILANO, Jena University Hospital

    Many human pathologies such as cancer are due to complex biochemical alterations that start at a sub-cellular level and lead to progressive changes that result in a heterogeneous tumor composition. The polyclonality of tumor cells hampers the diagnosis and the therapy giving rise to tumor clones that lead to therapy resistance and promote metastases. An accurate diagnosis of tumor biopsies to identify these particular cell clones is crucial to provide targeted therapy tailored to the tumor characteristics, to improve the patient outcomes and increase survival rates. For this vision to come true, we introduce ulTRafast hOlograPHic FT-IR microscopY (TROPHY) as a paradigm shift in vibrational microscopy, blending elements of photo-thermal infrared (PT-IR), Fourier transform (FT)-IR, and Digital Holography Microscopy (DHM). TROPHY brings these techniques to the unprecedented ultrafast timescale, where the refractive index change induced by coherent IR vibrations is probed at its peak value before thermal relaxation. TROPHY borrows from PT-IR the combination of IR vibrational excitation with visible probing for high spatial resolution, from FT-IR the use of time-domain interferometry to obtain a high spectral resolution from broadband excitation, from DHM highly sensitive and quantitative detection of the refractive index (phase) change. Combined with artificial intelligence algorithms, this technology will enable quantitative concentration imaging of molecular biomarkers with high spatial resolution, high chemical selectivity and high speed, with a transformative impact on medical research and clinics. In oncology, it will be applied to intraoperative diagnosis of tumor biopsies, providing tumor grading, staging and subtyping, and supporting complete tumor resection. It will also allow to determine the best therapeutic approach tailored to the patient and identify resistant tumor clones under targeted therapy, paving the way for precision medicine in cancer.

  • Open Access mandate for Publications and Research data
    Funder: EC Project Code: 101069738
    Overall Budget: 7,979,280 EURFunder Contribution: 7,979,280 EUR

    SiGNE will deliver an advanced lithium-ion battery (LIB) aimed at the High Capacity Approach targeted in this work programme. Specific objectives are to (1) Develop high energy density, safe and manufacturable Lithium ion battery (2) optimise the full-cell chemistry to achieve beyond state of art performance (3) Demonstrate full-cell fast charging capability (4) Show high full-cell cycling efficiency with >80% retentive capacity (5) Demonstrate high sustainability of this new battery technology and the related cost effectiveness through circular economy considerations and 2nd life battery applications built upon demonstrator and (6) Demonstrate high cost-competitiveness, large-scale manufacturability and EV uptake readiness. SiGNE will achieve these objectives by incorporation of 30% Si as a composite where it is electrically connected to the Graphite in nanowire form. This will realise a volumetric ED of >1000 Wh/L when pre-lithiated and paired with a Ni-rich NCM cathode optimised to deliver 220 mAh/g. This will be further enabled by a specifically designed electrolyte to maximise the voltage window and enable stable SEI formation. A sustainable fibre based separator with superior safety features s in terms of thermal and mechanical stability will be developed. SiGNE will establish the viability of volume manufacturing with production quantities of battery components manufactured by project end. The battery design and production process will be optimised in a continuous improvement process through full cell testing supported by modelling to optimise electrode and cell designs through manufacture as a prismatic cell and prototype testing at by OEMs. (SOH) monitoring across the entire battery lifecycle will optimise safety 2nd use viability. SIGNE will go significantly beyond SoA with recovery of anode, cathode and electrolyte components. In this circular economy approach recovered materials will be returned to the relevant work package to produce new electrodes.

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