Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Drug REpurposing with Artificial intelligence for Muscular disorderS (DREAMS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Tackling diseases and reducing disease burden
Action type: Research and Innovation actions
Countries involved: France,Belgium,Portugal,Israel,Spain,United Kingdom
Call: Development of new effective therapies for rare diseases (HORIZON-HLTH-2022-DISEASE-06-two-stage, 2022)
Start date: 2023-11-01
End date: 2028-10-31
Duration (months): 60.0
Total project cost (EUR): 6952110.0
EU funding (EUR): 6952110.0
Participants: 9
Project status: SIGNED

According to World Health Organization, to date, fewer than 6% of rare diseases (RDs) have an approved treatment option. In the light of this observation, it appears crucial to develop disruptive approaches that allow to find treatments for multiple RDs. To achieve this goal, DREAMS will start from 5 rare neuromuscular disorders (NMD) that share common pathophysiological characteristics related to dysfunctions of autophagy and desmin disorganization. Using skeletal muscle cells derived from induced pluripotent stem cells (skMC-iPSC), DREAMS will i) identify shared biomarkers of the 5 diseases and ii) perform a high throughput drug screen on all 5 diseases. Through a first Artificial Intelligence (AI) based solution, the output of the drug screening will be used to find drug targets shared between the diseases. A second AI based solution will be used to find drug candidates (repurposable drugs and new molecular entities) for these shared drug targets. A third AI-based solution will be used to find additional diseases that could be treated through the shared drug targets, in order to extend the indications for the most promising drug candidates. Following their discoveries, the promising drug candidates will be tested for efficacy and safety in both iPSC and mouse models of the 5 NMDs and additional diseases. In parallel, DREAMS will design an adaptive clinical trial to prepare the final stages of drug development of these novel drug candidates with multiple indications. Together, these technological and conceptual innovations will allow the DREAMS consortium to i) develop therapies to treat multiple NMDs and related diseases, ii) to create a novel clinical design that generates a regulatory pathway for drugs that treat heterogeneous groups of patients suffering from RDs iii) to further the scientific understanding of commonalities in RDs, and iv) to create a reusable drug development platform to discover safe and effective treatments for RDs in general.

Keywords: induced pluripotent stem cells,artificial intelligence,neuromuscular disorders,autophagy,phenotypic drug screening,virtual drug screening,adaptive clinical trial
GreenHer Centre of Excellence: Green Heritage Science (GreenHer)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Coordination and support actions
Panel: Environment and Geosciences
Countries involved: Slovenia,Italy,United Kingdom
Call: Teaming for Excellence (HORIZON-WIDERA-2023-ACCESS-01, 2023)
Start date: 2026-02-01
End date: 2032-01-31
Duration (months): 72.0
Total project cost (EUR): 13504471.25
EU funding (EUR): 13504471.25
Participants: 8
Project status: SIGNED

GreenHer CoE is proposed as an innovative, highly interdisciplinary research institute in the domain of green heritage science, supporting sustainable heritage management, its care and understanding and responding to major policies such as the EU Green Deal, the New European Bauhaus initiative, as well as other key EU and national policy drivers. Feeding into heritage and tourism sectors, addressing imbalances between tourism, environment and local population, and utilising heritage as a catalyst for positive change, GreenHer addresses S5 priority of Sustainable Tourism, focussing on social, economic and environmental impacts, and addressing cultural heritage as the driver of tourism industry in Slovenia (12% BDP, 111k jobs), with 50% of tourists engaging with culture/heritage. The CoE, established as an autonomous institute within the University of Ljubljana, will be developed in a mutually reinforcing, win-win partnership with the National Research Council of Italy and University College London, both global leaders in heritage science research, innovation, impact and policy. It will develop 4 research cores: (i) Green conservation-restoration; (ii) Sustainable buildings and sites; (iii) Participatory engagement; (iv) Digital heritage, 7 pilot projects and 8 infrastructure projects (complementary funding), among which are Living Labs, Open Conservation Lab, Mobile Heritage Lab and the Slovenian Collaborative Cloud for Cultural Heritage. With 40 FTEs of excellent management, technical and research personnel covering SSH and STEM disciplines, a comprehensive range of research, innovation and impact activities, GreenHer will represent a unique, cutting-edge research institute in the Widening region, reducing the inequalities and disparities in ERA and strengthening the heritage science domain. The demonstrated excellence of the partnership shows a high likelihood of long-term sustainability of the GreenHer CoE, becoming a driver of change in the region and globally.

Keywords: cultural heritage,sustainable tourism,green materials and technologies
Next Generation Blockchain-based Supply Chain Traceability & Transparency Platform (tilkal)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: France
Call: EIC Accelerator Open (HORIZON-EIC-2022-ACCELERATOR-01, 2022)
Start date: 2023-01-01
End date: 2025-09-30
Duration (months): 33.0
Total project cost (EUR): 3561000.0
EU funding (EUR): 2492700.0
Participants: 1
Project status: SIGNED

Tilkal is a blockchain-based supply chain traceability & transparency platform that provides a full digital representation of a supply chain, end-to-end and in real time. Tilkal enables businesses to be: in control of their supply chains, compliant with the existing and upcoming regulations & transparent to all the stakeholders about their usage. Tilkal is developing a backbone solution to ensure trust and traceability for Industry 4.0. It offers traceability & visibility over a supply chain both up- and downstream. It combines a secured and provable B2B data sharing network (based on blockchain to enable reciprocal responsibility across the supply chain), with algorithms for supply chain analysis and scoring in real time. We have early traction in agrifood, textiles, cosmetics, minerals & aerospace. Companies use beta Tilkal solution to improve control, compliance, sourcing origin and get fraud detection capabilities as well as to increase transparency towards their customers.

Keywords: big data,compliance,transparency,traceability,logistics,food chain security,machine learning,regulation
Skaldic Poems and the Conversion of Norway (SKALDIC)

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: Norway
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 210911.04
EU funding (EUR): 210911.04
Participants: 1
Project status: SIGNED

SKALDIC studies the history of the Norwegian society during the period of conversion from pagansim to Christian religion through the analysis of court poetry composed during the conversion period (c. 970s to 1028 - during the reigns of Hákon Sigurðarson (970s-995), Óláfr Tryggvason (995-1000), the sons of Hákon (1000-1016) and Óláfr Haraldsson (1015-1028)). This period is particularly interesting, as it marked the end of the pagan Viking period and the beginning of a Christian society in Norway, a period characterized by profound religious, social, and cultural changes. The novelty of the project lies in the fact that the history of this period has earlier been studied mainly through archaeological findings and literary texts such as the sagas, but the court poetry has not been fully investigated by historians. In analyzing the poetry, SCALDIC applies a variety of methods from history, philology, archaeology and psychogenealogy and through this interdisciplinary approach SCALDIC has the potential to undiscover new elements of the conversion period in Norway. The scientific impact of the project lies thus in the fact that SCALDIC studies an unexplored facet of Norwegian history. During SCALDIC, the Experienced Researcher (ER) will largely benefit from his integration to the host institute, University of Bergen and from the experience of the supervisor, Prof. Kirsi Salonen, and Prof. emer. Else Mundal. He will receive training in Old Norse language and modern Norwegian as well as medieval palaeography. Furthermore, the ER will gain experience in teaching, project managment and publishing.

Keywords: skaldic poetry,christianization,norway,kingship
DIscovering Flow control in TRANSonic difFUsing paSsagEs (TRANSDIFFUSE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Spain,United States
Call: ERC SYNERGY GRANTS (ERC-2024-SyG, 2024)
Start date: 2025-03-01
End date: 2031-02-28
Duration (months): 72.0
Total project cost (EUR): 9823000.0
EU funding (EUR): 9823000.0
Participants: 3
Project status: SIGNED

The quest for carbon-neutral aviation propels us toward uncharted technological frontiers. In TRANSDIFFUSE, we present an ambitious program to develop an AI-driven model that may revolutionize propulsion technologies. As a synergistic consortium, we unite the numerical modelling prowess of Valero’s team, the high-fidelity computational capabilities of Lehmkuhl’s group, and Paniagua's experimental ingenuity. TRANSDIFFUSE aims to develop new tools related to clean propulsion, specifically an AI-driven model called FluidGPT. In doing so, we expect to enable major advancements to the aeronautical and power generation sectors, including, for example, hydrogen pressure gain combustion (PGC) engines, which are compact, lightweight, high-efficiency turbines. In initiating FluidGPT, we aim to overcome challenges like those facing PGC, by exploiting the thing that has made compact turbomachinery so difficult to design: the troublesome transonic flows propelled from the combustor. With our model we aim to control and manipulate those transonic flows. Our approach to FluidGPT is anchored in characterizing, predicting, and then manipulating the intricate, unsteady, inherently difficult transonic flows—thus unlocking the design and development of transonic diffusing passages, a notorious obstacle to designing turbomachinery passages in new, compact, efficient engines. FluidGPT will model the Navier-Stokes equations for such conditions, enabling the prediction and control of previously unmanageable flow behaviours. A complete model of the Navier-Stokes equations in transonic diffusing passages has never been achieved by the scientific community, and our model will be able to reproduce flow configurations never seen before. Embracing innovation and synergy, TRANSDIFFUSE will also unlock new design guidelines and flow control techniques to surmount limitations across the aeronautical and power generation sectors. This program may redefine fluid dynamics modelling and control.

Keywords: navier stokes modelling,sensitivity analysis,flow control,measurement techniques,transonic turbomachinery
Selective packaging of proteins for secretion via COPII vesicles (PACK-COP)

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: Life Sciences
Countries involved: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SIGNED

Protein secretion is an essential cellular process that delivers many diverse proteins to the extracellular environment or cell surface. This process contributes to many aspects of cellular function, including nutrient uptake, cellular communication and tissue integrity. Secretion starts with secretory protein biogenesis and folding in the endoplasmic reticulum (ER) followed by their export from the ER and transport to the Golgi apparatus via COPII-coated vesicles, to finally reach their final destinations. These vesicles play a pivotal role in quality control of secretion by selectively packaging cargo proteins that are fully folded and transport competent. Defects in this process can lead to diseases such as cancer and neurodegenerative disorders. However, the molecular mechanisms governing selectivity in vesicular trafficking remain poorly understood. PACK-COP will reveal how a specific family of cargo receptors, Erv14/CNIH, drives the selectivity of secretion across a diverse range of clients. The molecular mechanism underlying this selectivity into nascent vesicles will be dissected using a combination of yeast and human model systems. In yeast, PACK-COP will use mutagenesis and specific cross-linking approaches to discover protein-protein interaction interfaces that drive multiple known cargo proteins into COPII vesicles. These insights will be directly applied to human cells to map the client landscape that uses CNIH1 for ER export, and test specific functional domains based on the yeast discoveries. The innovative combination of both models, coupled with cutting-edge techniques, will enable PACK-COP to map Erv14 specific amino acids required for the ER export of critical cell-surface proteins. This knowledge could enable screening for inhibitors that block these interactions, potentially reducing the release of specific proteins to the cell surface, a strategy with significant therapeutic potential for disease associated to defects in secretion pathways.

Keywords: copii vesicles,membrane traffic,protein secretion,er export,cargo packaging
Philosophical Foundations of Criminal Law in the Age of Robots (ROBOCRIM)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Poland
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 1498100.0
EU funding (EUR): 1498100.0
Participants: 1
Project status: SIGNED

Robots are made to serve humans in carrying out tasks that are hard, dangerous, or repetitive, as well as for entertainment. Despite their (generally) benign objectives, robots may promote harmful outcomes that are under the radar of criminal law. One of the main aims of criminal law is to stabilize society. If something wrong is done, the law provides ways of responding to it. The situation could be complicated by the wider application of robots in social life: not only do they disrupt the practice of law, they also have the potential to challenge its very foundations. The main aim of the ROBOCRIM project is to build a philosophical ground for criminal law that accommodates robots. I will ask, “How can the philosophical foundations of criminal law be reconstructed to accommodate robots?” instead of, “How to accommodate robots into criminal law?” which is the usual formulation. This shifts the approach to the discussion on robots and their alignment with law and social life. The project will be conducted within three interrelated work streams. The first stream will be devoted to robots and their status from the perspective of the philosophy of criminal law. The second stream will focus on the foundation of a new account of criminal law, which I call the “phenomenological account”. The emphasis in the third stream will be on building models of institutions that accommodate robots within criminal law, to be tested using experimental methods. These new models of criminal response to crimes committed by robots treat robots as initiators of events that require a response from criminal law rather than as individual agents that could be responsible for their actions. This, combined with a novel account of criminal law, makes the project ground-breaking. It is interdisciplinary, employs multiple methods, and will shed new light on how robots might better fit into society in general, and criminal law in particular.

Keywords: philosophy of criminal law,punishment,responsibility,robots,human robot interactions,retribution
European Soil Erosion Monitoring and Modelling Network for Sustainable Agricultural Land Management (EUROSION)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Soil health and food
Destination: Soil health and food
Action type: Research and Innovation actions
Countries involved: Netherlands,Belgium,United Kingdom,Italy,Germany,Norway,Türkiye,Cyprus,Romania,Spain,France,Tunisia,Switzerland
Call: Towards a dynamic monitoring system to assess status and spatiotemporal changes of soil erosion at European scale (HORIZON-MISS-2024-SOIL-01, 2024)
Start date: 2025-11-01
End date: 2030-10-31
Duration (months): 60.0
Total project cost (EUR): 11493730.51
EU funding (EUR): 11493730.51
Participants: 24
Project status: SIGNED

Erosion is a major threat to the ecosystemic services provided by soils, especially for nutrient cycling, provision of food, water purification, leading to significant on- and off-site effects that needs to be monitored, studied and prevented. EUROSION will tackle this issue by developing and demonstrating a dynamic soil erosion monitoring system able to continuously and precisely estimate soil erosion across spatial and temporal scales, considering water, wind and tillage effects in agricultural lands. This will be achieved with: (i) the creation of a robust multi-scale monitoring network composed of EUROSION partnership and representatives of complementary monitoring stakeholders, (ii) the elaboration of a monitoring scheme using harmonized monitoring methods allowing to collect up-to-date and reliable data, (iii) interrelated wind-water-tillage-related process-based erosion models capable of quantifying soil erosion from local to EU scale and across time and estimate the impact of management practices. These enhanced knowledge and innovative bricks will lead to the development of a user-friendly interactive and open-access platform for policymakers, researchers and monitoring stakeholders to visualize dynamic maps of erosion and conduct further research. Thus, EUROSION soil erosion monitoring system will deliver reliable estimates and validated indicators, on which the project will take stock to provide policymakers and agricultural land managers with recommendations on best management practices reducing soil erosion, supported by tailored cost-benefit analysis. EUROSION will also enable science-based trade-offs for the development and update of soil-related policies, including the new CAP. The project will run in close collaboration with local stakeholders, EU policymakers, and the JRC, and will be implemented in specific 12 Monitoring Nodes, representing European erosion hot spots and key agricultural areas.

Keywords: soil erosion modelling,nested monitoring network,harmonized monitoring approach,soil erosion nexus,impact of management practices
Piezoelectric Biomolecules for lead-free, Reliable, Eco-Friendly Electronics (Pb-FREE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Ireland
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-06-01
End date: 2027-05-31
Duration (months): 60.0
Total project cost (EUR): 1499525.0
EU funding (EUR): 1499525.0
Participants: 1
Project status: SIGNED

Billions of piezoelectric sensors are produced every year, improving the efficiency of many current and emerging technologies. By interconverting electrical and mechanical energy they enable medical device, infrastructure, automotive and aerospace industries, but with a huge environmental cost. The majority of piezoelectric sensors contain Lead Zirconium Titanate (PZT), the fabrication of which requires toxic lead oxide. Prominent lead-free alternatives are heavily processed, and rely on expensive, non-renewable materials such as Niobium. Biological materials such as amino acids and peptides have emerged as exciting new piezoelectrics. Biomolecular-crystal assemblies can be grown at room temperature with no by-products, and do not require an external electric field to induce piezoelectricity, unlike PZT and other piezoceramics. Currently no research is focused on developing these crystals as reliable, solid-state sensors to integrate into conventional electronic devices, due to their high water solubility, uncontrolled growth, variable piezoelectric response, and difficulty in making electrical contact. Pb-FREE will take on the ground-breaking challenge of developing biomolecular crystals as organic, low-cost, high-performance sensors, to out-perform and phase-out inorganic device components with dramatically reduced environmental impact. The project will rapidly accelerate the design, growth, and engineering of these novel piezoelectric materials under three pillars: - An ambitious computational workflow will enable the design of super-piezoelectric crystalline assemblies by combining high-throughput quantum mechanical calculations with machine learning algorithms. - A new method of growing polycrystalline biomolecules will be developed, allowing for easy, efficient creation of macroscopic piezoelectric structures. - A state-of-the-art electromechanical testing suite will be established to characterise fully insulated and contacted biomolecular device components.

Keywords: piezoelectricity crystal engineering computational chemistry