Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Hardware-assisted Adaptive Cross-Layer Security for Computing Systems (HYDRANOS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 2485281.0
EU funding (EUR): 2485281.0
Participants: 1
Project status: SIGNED

Today's computing systems are facing an unprecedented security threat posed by recent attacks that use software to exploit hardware vulnerabilities, as shown by attacks like Spectre, Meltdown, Foreshadow, and follow-ups - affecting a wide range of computing platforms and manufacturers, including Intel, AMD, and ARM. These cross-layer attacks reach far beyond exploiting microarchitectural vulnerabilities and allow unprivileged software to exploit a variety of hardware design and implementation flaws, as we demonstrated in the world's largest System-on-Chip (SoC) security competition that we have been conducting with Intel since 2018. This adversarial paradigm shift sidesteps decades of security research that assumed a layered architecture where hardware is flawless and trustworthy. Existing solutions, such as software patching or specific hardware changes are ad-hoc, expensive, or only mitigate specific known attacks. Particularly, patching hardware after fabrication is very limited or impossible. This proposal, HYDRANOS, envisions hardware-assisted adaptive security, a radically different approach to enable flexible security for future computing systems. We aim to design, prototype, and evaluate dedicated configurable hardware inside the SoC design to enable post-fabrication reconfiguration of key security-relevant hardware primitives to mitigate new attack vectors. Moreover, we provide an evaluation framework that includes novel hardware fuzzing techniques to significantly improve existing hardware-vulnerability detection methods at design time. HYDRANOS is a game changer for trustworthy computing, allows to fundamentally and flexibly tackle today’s and future cross-layer attacks on security-critical systems, and provides novel research to pave the way towards future-proof security. We will showcase our results on open-source hardware widely supported by academia and industry and provide it to the research community, allowing open verification by third-parties.

Keywords: system security,open source hardware,hardware assisted security,security vulnerability,hardware security analysis,system security analysis
Circular Light-Based 3D Printable Lipoate-based Polymers (CIRCLE-3D)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Materials Engineering
Panel description: Advanced materials development: performance enhancement, modelling, large -scale preparation, modification, tailoring, optimisation, novel  and combined use of materials, etc.
Countries involved: United Kingdom
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-04-01
End date: 2031-03-31
Duration (months): 60.0
Total project cost (EUR): 2499711.0
EU funding (EUR): 2499711.0
Participants: 1
Project status: SIGNED

The high speed and accuracy of photopolymer additive manufacturing methods are enabling the transition of their use from prototyping to production. While these manufacturing methods have advanced significantly over recent years, this has not been matched by developments in photopolymer resin technology, which remains based on petrochemical sourced materials and produces waste that cannot be recycled. CIRCLIPO will deliver high modulus, photocurable polymers for application in production scale circular additive manufacturing. The materials design leverages renewably sourced, Lipoic acid, to generate materials that can be printed, and then depolymerised at the end of their useful life to recreate virgin resin that can be reprinted in a highly efficient closed-loop manner – eliminating waste. Targeting bio-based monomer sources and green manufacturing processes, CIRCLIPO will deliver materials that offer comparable or better mechanical properties to the market-leading resins. Beyond these advances, CIRCLIPO will also offer unique opportunities to sustainably exploit the potential of 3D-printed multimaterials. This will be achieved by enabling on demand production and recycling of mixed plastic multimaterials in a sustainable manner. CIRCLIPO will uniquely provide sustainable materials and production methods that will ensure that production-scale additive manufacturing is part of a truly sustainable and circular plastic economy, and avoid the environmental damage that results from unsustainable resins, wasteful processes and non-recyclable printed plastics. Finally, CIRCLIPO will evaluate the economic potential and environmental impact of the materials using technoeconomic analysis and life cycle analysis, which will also be used to guide materials and process development.

Keywords: additive manufacturing for soft materials lipoic acid polymers circular photopolymers
Analyzing and Exploiting Inexactness in Exascale Matrix Computations (inEXASCALE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Czechia
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-03-01
End date: 2028-02-29
Duration (months): 60.0
Total project cost (EUR): 1496085.0
EU funding (EUR): 1496085.0
Participants: 1
Project status: SIGNED

Scientific computing inherently involves multiple sources of inexactness, from discretization or simplification of the problem, to noisy data, to finite precision rounding errors, to approximations made to increase parallelism, to stopping computations intentionally to improve efficiency. The standard state-of-the-art approach is to analyze different sources of error separately. There is currently no solid foundation or systematic approach for combining multiple sources of inexactness together and studying their interaction. Developing reliable approaches for exascale requires filling this gap, which must start with establishing a new rigorous foundation for analyzing multiple sources of error in matrix computations. Without this basis, the quest for efficiency in areas vitally depending on matrix computations, including, for example, data science and machine learning, will remain reliant on a trial-and-error approach. This project aims to break the current modular approach to the analysis and design of algorithms for matrix computations by understanding how different sources of inexactness interact while being propagated through a computation and their effect on numerical behavior and solution quality. Our holistic approach, rooted in rigorous theoretical analysis, will reveal opportunities for developing new algorithms for exascale problems that exploit inexactness to balance performance and accuracy. The project is structured around four fundamental objectives: WP1: Analysis of exascale matrix computations subject to multiple sources of inexactness WP2: Development of new algorithms that exploit inexactness that are both fast and provably accurate WP3: Making error analysis of exascale computations meaningful in practice WP4: Exploring emerging sources of inexactness beyond the exascale era Our approach will lead to new methodologies that can change current paradigms.

Keywords: matrix computations,error analysis,parallel computing,iterative methods,high performance computing,numerical linear algebra,scientific computing,numerical stability,architecture for exascale computation
Sustainable manufacturing and optimized materials and interfaces for lithium metal batteries with digital quality control (SOLiD)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Cross-sectoral solutions for the climate transition
Action type: Research and Innovation actions
Partnership: Batteries (co-programmed)
Countries involved: Finland,Germany,Czechia,Italy,Switzerland,Belgium,Cyprus,France,Luxembourg
Call: Manufacturing technology development for solid-state batteries (SSB, Generations 4a - 4b batteries) (Batteries Partnership) (HORIZON-CL5-2021-D2-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 7026001.0
EU funding (EUR): 6980937.5
Participants: 15
Project status: SIGNED

The SOLiD project will create a sustainable and cost-efficient pilot scale manufacturing process for a high energy density, safe and easily recyclable solid-state Li-metal battery. We will use roll-to-roll (R2R) dry extrusion coating for the blend of cathode active material, solid polymer electrolyte, and conducting additives. R2R slot die coated primers on the cathode current collector will enhance adhesion, performance and corrosion resistance of the cell. The polymer electrolyte layer will be R2R coated, using an optimal design for the slot die head. For the Li metal anode, we will utilize cost-efficient R2R pulsed laser deposition, which enables minimizing the Li thickness down to 5 µm. The Li metal production will be combined with an inline process for interfacial engineering to ensure compatibility with the other layers and stability. The process development will be supported by digitalization methods to go towards zero-defect and cost-efficient manufacturing. The proposed methods enable sustainable manufacturing of Gen. 4b solid state batteries with minimised amount of critical raw materials (Co and Li), and with superior performance and safety: The protective layers enable the use of NMC811, which reduces the amount of Co into minimum without compromising the lifetime, and PLD process helps to minimize the Li thickness. Dry coating eliminates the use of toxic solvents and energy-consuming drying steps, and the digital quality control will reduce the amount of waste. The thickness of each layer will be minimized to reach energy density above 900 Wh/l. Cost will be reduced by cost-effective production methods and by maximizing the yield. Safety and long cycle life are guaranteed by the solid electrolyte and the protective interlayers. Supported by the life-cycle thinking and stakeholder engagement, the SOLiD project will enable the design for a sustainable solid state battery factory of the future.

Keywords: extrusion coating,pulsed laser deposition,li metal battery,digital twin,inline inspection
Women and the Baths: Ancient Medicine, Pleasure, and The Female Body in Renaissance Italy (WomenAndTheBaths)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-05-15
End date: 2026-05-14
Duration (months): 24.0
Total project cost (EUR): 188590.08
EU funding (EUR): 188590.08
Participants: 1
Project status: CLOSED

Despite the growing interest in women’s contribution to texts, works of art, and cultural strata of society during the Renaissance, research has focused disproportionately on their roles as patrons, purchasers, and creators of art. Less attention has been paid to the connections between women’s agency and one of the most popular medical practices of the time: bathing. Baths and daily exercise were recognised as an essential part of the health routine of the ancients, and this routine was revived by early modern physicians and prescribed for all sorts of ailments. Yet, recent works on baths in Renaissance Italy dedicate only a few paragraphs to women within broader discussions of aristocratic bathing practices. This project will re-evaluate women’s experience of baths in Renaissance Italy, revealing their prominent role as consumers and patrons of balneological treatises as well as users of spas. It will also highlight how women’s influence spurred physicians to mine ancient medical texts in search of gender-specific medical knowledge, an exceptional innovation, especially if one considers the widespread gender bias still affecting medical curricula today. Building on my postdoctoral research on ancient balneology and its reception, this multidisciplinary project will use a neglected scattered body of primary data, including several letters that will be edited and published for the first time in an open-access database, to construct a picture of how doctors’ and female patients’ experiences of bathing were shaped by their readings (Greco-Roman, medieval, and contemporary texts); the establishments they chose (spas, private and public baths); and contemporary moral bias. Through this investigation, I will address broader questions concerning the nature and extent of physician-patient networks in Renaissance Italy and women’s agency in disseminating medical knowledge.

Keywords: renaissance women classical reception baths medicine balneology hydrotherapy
Range-adapting reinforcement learning and memory (RaReMem)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: France
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1995826.0
EU funding (EUR): 1995826.0
Participants: 1
Project status: SIGNED

A wealth of evidence in perceptual and economic decision-making research suggests that the subjective value of one option is determined by the range of the values of other available options (i.e., the context). Yet, up until today, this literature has almost exclusively focused on decision situations where contexts are explicit and static, thus ignoring more ecological and realistic scenarios where value ranges are dynamically shaped by past outcomes. This proposal will investigate if and how range adaptation also affects the computation of outcome values that are acquired from experience and stored in memory. We hypothesize that range-adaptation is pervasive in learning, because it addresses a fundamental computational cost-benefit trade-off. Indeed, we propose that, although range adaptation is locally optimal, because it optimizes information processing by tuning the value response function to the experienced outcome distribution, this comes at the price of forfeiting the capacity to generalize learned-values to new contexts. The proposed research will design and validate a comprehensive behavioural and computational framework to test this hypothesis. More precisely, combining original experimental paradigms, behavioural analyses and computational modelling, we will i) provide a clear algorithmic description of outcome range adaptation, ii) elucidate the nature of the distorted memory representations of outcome values, and, finally, iii) probe the pervasiveness and adaptive value of this process empirically (by running experiments in different cultures) and theoretically (through extensive simulations). We believe this project has the potential to further elucidate new fundamental computational constraints of human learning and decision-making. Our theoretical framework and empirical results will undoubtedly contribute to the debate about the ultimate sources of human bounded rationality, with potential impact beyond cognitive science.

Keywords: reinforcement learning cognitive bias computational model
Mapping the Uncharted Human Metabolism for Novel Food Bioactives (BioTransform)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Belgium,Austria,Greece,Latvia,Ireland,United Kingdom,Switzerland,Germany
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2025-11-01
End date: 2029-10-31
Duration (months): 48.0
Total project cost (EUR): 3290005.44
EU funding (EUR): 3290005.44
Participants: 16
Project status: SIGNED

BioTransform is a multidisciplinary doctoral network aiming to investigate the role of certain constituents found in food products (food bioactives - FB) on human health, focusing on their metabolism. FB coexist with nutrients, but they are biologically active compounds present in our diet and characterised by great structural variability and biological properties. Despite the imperative role of gut microbiota in health maintenance and disease prevention, the available information regarding FB metabolism remains scarce and the biotransformation occurring in the human organism highly unexplored. Thus, the goal of BioTransform is to combine state-of-the-art methods, technologies and approaches in a complementary and integrated way to reveal the impact of FB and their metabolites (biotransformation products) on health and disease. To this end, human pilot studies, in vitro and in silico metabolism simulation methods, gut microbiota sequencing, metabolite profiling and metabolomics will be employed. Metabolites will be biologically profiled through biochemical and cell-based assays. In BioTransform, the metabolism of olive and bilberry FB (secoiridoids, phenols and polyphenols), which are European flagship food products with proven activity in metabolism-related pathologies, will be systematically investigated. A key innovative characteristic of BioTransform is the holistic approach towards metabolism of FB, unique so far, combining all required disciplines and including experts at EU level. BioTransform objectives will be accomplished through eleven complementary doctoral projects from nine education and research entities, additionally including the participation of six associated partners from the private sector and one from academia. Beyond the scientific achievements, the ultimate goal of BioTransform is to educate, train and prepare young scientists to be interdisciplinary and competent researchers and professionals in the area of health and food science.

Keywords: food bioactives,metabolites,metabolism,gut microbiota,bilberry,olive,polyphenols,secoiridoids,prediabetic conditions,microbiome sequencing,metabolomics,dietary metabotype score
Rethinking and Reshaping the EU’s democracy support in its Eastern and Southern Neighbourhood (SHAPEDEM-EU)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on Democracy and Governance
Action type: Research and Innovation actions
Countries involved: Germany,Belgium,Italy,Denmark,Spain,Tunisia,Poland,Ukraine,Lebanon,United Kingdom
Call: Democratic politics in the EU’s neighbourhood (HORIZON-CL2-2021-DEMOCRACY-01, 2021)
Start date: 2022-10-01
End date: 2025-09-30
Duration (months): 36.0
Total project cost (EUR): 2748757.5
EU funding (EUR): 2748757.5
Participants: 12
Project status: SIGNED

SHAPEDEM-EU sets out to rethink, reshape, and review the EU’s democracy support policies in its Eastern & Southern Neighbourhoods. Amidst the increasing contestation of the EU and the weakening impact of its policies in the Neighbourhoods, SHAPEDEM-EU applies an entirely novel approach to democracy support. The approach conceives of democracy support as a social practice requiring the collective democratic learning of all stakeholders involved. The consortium will pilot test a Democracy Learning Loop to create new channels and tools for interaction between the EU and its neighbours and transfer these findings into policy recommendations for an improved EU policy toolkit. SHAPEDEM-EU represents a multi-national and multifaceted research consortium of academic, think tank, and civil society institutions based in the EU and the Southern and Eastern Neighbourhoods. The consortium will apply mixed-methods to collect, assess, and generate policies related to democracy support in the six case countries of Lebanon, Palestine, Tunisia, Ukraine, Georgia, and Armenia. We will investigate the role of EU member states, key EU institutions, third country actors, and international organisations. The project results will lead to improved EU practices in the region. In all project phases, the impact of gender equality & digital transformations in democracy support will be examined. The findings will be communicated and disseminated through SHAPEDEM-EU’s comprehensive Democracy Support Database and an online Digital Dashboard. Our results will contribute to the creation of sustainable tools for an EU policy toolkit that supports democracy in its Southern & Eastern Neighbourhoods, thus increasing the EU’s accountability, transparency, effectiveness, and trustworthiness and making neighbourhood countries more resilient, equitable, and responsive to local needs.

Keywords: eu eastern and southern neigbhourhood,democracy support,democratic politics,gender equality,digital transformations