Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Democracy, Autocracy, and International Cooperation (DEMCOOP)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Sweden
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 2499939.0
EU funding (EUR): 2499939.0
Participants: 1
Project status: SIGNED

One of the most consistent findings in the study of world politics is the positive relationship between democratic regimes and international cooperation. Yet events in recent years suggest a more complicated picture. Several democracies have withered in their support for international organizations, while autocracies simultaneously have stepped up their commitments to cooperation. This project will use recent developments as a backdrop for launching a new research agenda on the relationship between regime type and international cooperation. Guided by the over-arching question of why, how, and under what conditions regime type affects international cooperation, this project will conduct the most systematic and comprehensive analysis so far of this relationship. Theoretically, it will break new ground by developing a novel framework for identifying how regime type may have varying and conditional effects on international cooperation. Empirically, it will be more comprehensive than any previous research effort, examining this relationship over a longer time period and across a broader range of international cooperation, based on an extensive new data collection. Methodologically, it will leverage an ambitious multi-method design, combining large-N statistical analysis, experimental analysis, and in-depth case analysis in a complementary fashion and with a comparative orientation. In addition, the project will be policy relevant by generating insights on the resilience (or not) of international cooperation in an age of democratic decline.

Keywords: democracy,autocracy,regime type,international cooperation,international organization,multi method
Unravelling the mechanisms behind Multi-Year Droughts (MultiDry)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Earth System Science
Panel description: Physical geography, geo logy, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-09-01
End date: 2028-08-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Recent decades have seen a doubling in multi-year droughts around the world. With long-lasting impact on streamflow, groundwater and vegetation, these negatively affect agriculture, drinking water supply, hydropower, shipping and ecosystems as a result. The IPCC states that contrary to “normal” droughts, multi-year droughts cause abrupt changes that take years or decades to be reversed. Due to climate change, multi-year droughts are projected to become more frequent and longer, and potential recovery times between droughts will decrease. I hypothesise that the rise in multi-year droughts and their impacts is caused by stronger teleconnections between the atmosphere, ocean and land, enhanced by climate change, and that feedbacks between the bio-hydrological cycle exuberate the impacts of multi-year droughts. The MultiDry project will make scientific breakthroughs by tracking the propagation of multi-year droughts from climate forcing, through vegetation and soil moisture to surface water and groundwater impacts, whilst also including the important, intricate affects of human water use. In MultiDry, I will combine observations with a novel modelling framework to unravel the drivers behind multi-year droughts worldwide, and the feedbacks of vegetation and human water use on drought duration, propagation, and recovery. This will yield new process understanding, novel scientific datasets, and a basis for reliable projections of future multi-year drought events. This project will drastically improve our understanding of the drivers and mechanisms of multi-year droughts that I believe to be fundamentally different from those of “normal” droughts. The MultiDry results will inform policymakers and water managers around the world on future water challenges. MultiDry will also provide the fundamental understanding needed to quantify future drought vulnerability around the world, help to improve drought preparedness and improve global hydrological modelling of drought.

Keywords: drought,climate change,hydrology
Atomic-layer additive manufacturing for solar cells (ALAMS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Germany
Call: ERC PROOF OF CONCEPT GRANTS1 (ERC-2022-POC1, 2022)
Start date: 2022-05-01
End date: 2023-10-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The ALAMS project will provide the first application of "atomic-layer additive manufacturing" (ALAM), namely for the prototyping of solar cells in large arrays of microdevices. The ALAM concept combines the principles of additive manufacturing (3D printing) with the atomic resolution achieved by the thin coating technique atomic layer deposition (ALD). In ALD, atomic-level control is achieved by judiciously designing the surface reaction chemistry of molecular precursors at near-room temperature for it to become self-limiting. This renders experimental use of ALD very robust to a wide range of parameter variations, since the film growth occurs in a cyclic, layer-by-layer mode. This advantage will be exploited towards 3D printing, an area of application that ALD has never been used for until we built the first ALAM prototype in November 2019. This prototype centers around a printhead that delivers the ALD precursors to the gas phase in the vicinity of the substrate surface, with a microfluidic element delivering a lateral resolution on the order of micrometers. The motion of the printhead with respect to the substrate allows the user to ‘print’ lines and structures of arbitrarily chosen geometries, whereby each pass over a given point of the substrate adds to it exactly the amount of material corresponding to one ALD monolayer, that is, a thickness typically on the order of an atom, or 0.1 nanometer (depending on the exact ALD reaction used). After developing the ALD chemistry needed for ALAM of the materials required to generate photovoltaic stacks, the ALAMS PoC project will apply it to a case study, namely the rapid prototyping of solar cell microdevices in large arrays. The ALAM concept, however, is valid beyond the confines of photovoltaic research. Its commercial potential stems from its position at the convergence of two highly modern, fast-growing markets, namely, additive manufacturing ('3D printing') and microelectromechanical systems (MEMS).
Preparing the ground for AUTonomous Multimodal SUPply Chains (AUTOSUP)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Safe, Resilient Transport and Smart Mobility services for passengers and goods
Action type: Research and Innovation actions
Countries involved: Greece,Belgium,Italy,Germany,Poland
Call: Operational automation to support multimodal freight transport (HORIZON-CL5-2023-D6-01, 2023)
Start date: 2024-06-01
End date: 2027-05-31
Duration (months): 36.0
Total project cost (EUR): 4002312.5
EU funding (EUR): 3999812.5
Participants: 17
Project status: SIGNED

AUTOSUP will drive the industrial transition to seamless multimodal automatic freight transport and enhance the operation of hubs as nodes in a Physical Internet logistics network. A multidisciplinary team of 17 partners including four organisations engaging in the activities their ecosystems of Transport and Logistics stakeholders will: • Define automation requirements for seamless multimodal automatic freight transport. • Empower stakeholders with an open, ready-to-use data-driven Decision Support System to help them implement and deploy automated processes and solutions and make strategic decisions about future investments. The systems will support undertaking feasibility studies via simulation to assess the efficiencies and impact of new solutions, whilst considering sustainability, financial and social impacts. • Support the transition path to automation in two Living Hubs (Antwerp and Trieste ports), focusing on the link of the two large transport nodes with road corridors, rail, inland waterways and airports, covering 6 diverse use cases. • Design new operational, governance and organisational change management models for autonomous logistics that incentivise cross-mode collaboration and reduce investment costs. • Validate operational and cost efficiencies of solutions via feasibility analysis, impact assessment and the engagement of representative stakeholders. • Establish a strategic and cohesive alliance and thematic working group for the alignment of multimodal automation adoption roadmaps across rail, road, aviation, waterborne and alternative innovative modes of transport and contribute to lowering automation adoption barriers through comprehensive transition guidelines, capacity-building sessions and policy recommendations. AUTOSUP integrates social innovation practices in research to foster automation adoption and enhance safety, accounting for the workforce dynamics and skills needed for the transition to autonomous operations.

Keywords: physical internet,digital twin,autonomous supply chains,investments cost benefit analysis
Demystifying mechanisms of metal impurities during CO2 mineralization of industrial solid wastes (ENCAPSULATE)

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: Environment and Geosciences
Countries involved: France,Spain
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-07-01
End date: 2026-12-31
Duration (months): 30.0
Total project cost (EUR): 244893.6
EU funding (EUR): 244893.6
Participants: 3
Project status: SIGNED

Anthropogenic climate warming has led to more frequent climate extremes and pollution episodes, posing serious threats to the ecological environment and human health. The rapid development of CO2 mineralization technology for industrial solid wastes offers a promising solution to ENCAPSULATE CO2 while stabilizing wastes. However, unlike desirable natural silicate minerals like olivine and wollastonite, industrial solid wastes exhibit a complex and diverse composition. The efficiency of mineralization in the carbonation process can be significantly impacted by the competitiveness of impurities relative to Ca/Mg. Whereas, the correlated systematic assessments of impurities' competitiveness remain lacking. In addition, the leachability of potentially toxic elements after mineralization has not been explored, raising significant safety concerns. ENCAPSULATE takes an interdisciplinary approach, combining the researcher’s experience in waste characterization and thermodynamic modeling with the supervisor’s expertise in interfacial geochemistry and molecular modeling to address these hitherto neglected challenges head-on. To this end, ENCAPSULATE will establish publicly available datasets and novel models to (i) estimate the impurities constraints on mineralization efficiency at the outset, (ii) propose possible strategies to reduce the environmental impacts of using carbonized products in practical applications and (iii) link CO2 emission to specific activities in industries. The outcomes will benefit EU organizations and industrial stakeholders engaged in CO2 mitigation efforts. The fellowship will be carried out at Université Grenoble Alpes (ISTerre joint research unit) and work with both academics (PSI, ESRF, CNRS, and EMPA) and industry partners (AMIII). The supervisors' expertise and the organizations' equipment ensure successful research progress and unsurpassed academic-industry intercommunication.

Keywords: solid waste management,carbon dioxide mineralization,carbon capture,geochemical modeling
Nonlinear partial differential equations describing FROnt propagation, Geometric variational problems and Singularities. (NFROGS)

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: Mathematics
Countries involved: Italy,Spain
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): 172750.08
EU funding (EUR): 172750.08
Participants: 2
Project status: SIGNED

This project will focus on some issues regarding front propagation in reaction-diffusion systems, geometrical problems with a variational structure and solutions of elliptic and parabolic problems exhibiting singularities. These are important problems in the vast field of (nonlinear) Partial Differential Equations which are motivated by Physics and Biology. The first part of the project will be devoted to the study of reaction-diffusion systems. An important type of solutions for these systems are fronts which, in many situations, play a distinctive role in the long-time dynamics. However, these issues are not well understood for some important classes of reaction-diffusion systems due to the non-applicability of the more standard and widely used mathematical tools. Our purpose will be to fill this gap. The second part will be devoted to several problems in geometry. These problems are formulated within the framework of Geometric Measure Theory (GMT) and can be understood through a PDE approximation of Allen-Cahn or Ginzburg-Landau type. Following this approach, we will tackle several of these problems which remain unsolved and the outcome will be of interest to both the Geometry and the PDE communities. The third part, also intimately related to GMT, will be centered on the classical topic of singularities of harmonic maps and Ginzburg-Landau equations. We will study the existence of new types of solutions with distinguished behavior. The second and the third part of the project are intimately interconnected, and their interactions have been explored for a long time. However, the project also aims at establishing new relations between the first and third part, whose interactions have not been studied in depth so far. The project is autonomous but it has been enriched by several collaborators. The role of Prof. Orlandi as supervisor is particularly adapted to the project's purposes and it will be crucial for its correct and effective development.

Keywords: parabolic equations,reaction diffusion systems,variational methods,geometric measure theory,traveling waves,long time behavior,allen cahn,ginzburg landau,constant mean curvature surfaces
Healthy Soil for Urban Agriculture through Nutrient and Carbon Circularity (NUTRISOIL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Spain
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2024-01-01
End date: 2025-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Many policies promote urban and peri-urban agriculture (UA) through circularity of nutrients to increase food autonomy, minimize food losses, and reduce environmental impacts associated to transport, mineral fertilizer production, and waste management. Yet up to date most EU cities have low local crop production, and although they generate vast volumes of nutrient-rich waste, nutrient recovery through composting and wastewater treatment to substitute mineral fertilizer for application in UA is still anecdotal. What is hindering nutrient circularity for application in UA and what can be done to overcome the obstacles? The variability and quality of recovered nutrients is one key issue. However, there is a more important underlying problem that has not been addressed: the impoverished state and quality of the urban and peri-urban agricultural soil. Adding nutrients to a carbon-deficient soil is counter-productive, resulting in reduced rooting patterns, increased sensitivity to draughts, and ultimately lower yields. The solution to impoverished soils and poor local crop production lies in the cities themselves. A large proportion of urban residues are rich in decomposable organic carbon and can be used to enhance soil microbiota function, counteract acidification, and improve soil quality and nutrient cycling efficiency. The pathway towards UA is to preserve and increase soil OM, while increasing nutrient recovery in urban areas- and this can be achieved through resource circularity right within the city. The goal of NUTRISOIL is to clearly identify, address, and resolve these soil-related obstacles to the sustainable implementation of UA in cities by providing the technical expertise and creating a knowledge transfer exchange amongst farmers, composting facilities, WWTPs, administration, policy makers, and the various governing and coordinating associations implicated in the entire cycle of nutrients in the city: from waste to food.
SAFE AND EXPLAINABLE CRITICAL EMBEDDED SYSTEMS BASED ON AI (SAFEXPLAIN)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: A human-centred and ethical development of digital and industrial technologies
Action type: Research and Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Spain,Italy,Sweden,Netherlands
Call: Verifiable robustness, energy efficiency and transparency for Trustworthy AI: Scientific excellence boosting industrial competitiveness (AI, Data and Robotics Partnership) (RIA) (HORIZON-CL4-2021-HUMAN-01, 2021)
Start date: 2022-10-01
End date: 2025-09-30
Duration (months): 36.0
Total project cost (EUR): 3891875.0
EU funding (EUR): 3891875.0
Participants: 6
Project status: SIGNED

Deep Learning (DL) techniques are key for most future advanced software functions in Critical Autonomous AI-based Systems (CAIS) in cars, trains and satellites. Hence, those CAIS industries depend on their ability to design, implement, qualify, and certify DL-based software products under bounded effort/cost. There is a fundamental gap between Functional Safety (FUSA) requirements of CAIS and the nature of DL solutions needed to satisfy those requirements. The lack of transparency (mainly explainability and traceability), and the data-dependent and stochastic nature of DL software clash against the need for deterministic, verifiable and pass/fail test-based software solutions for CAIS. SAFEXPLAIN tackles this challenge by providing a novel and flexible approach to allow the certification – hence adoption – of DL-based solutions in CAIS by (1) architecting transparent DL solutions that allow explaining why they satisfy FUSA requirements, with end-to-end traceability, with specific approaches to explain whether predictions can be trusted, and with strategies to reach (and prove) correct operation, in accordance with certification standards. SAFEXPLAIN will also (2) devise alternative and increasingly complex FUSA design safety patterns for different DL usage levels (i.e. with varying safety requirements) that will allow using DL in any CAIS functionality, for varying levels of criticality and fault tolerance. SAFEXPLAIN brings together a highly skilled and complementary consortium to successfully tackle this endeavor including 3 research centers, RISE (AI expertise), IKR (FUSA expertise), and BSC (platform expertise); and 3 CAIS case studies, automotive (NAV), space (AIKO), and railway (IKR). SAFEXPLAIN DL-based solutions are assessed in an industrial toolset (EXI). Finally, to prove that transparency levels are fully compliant with FUSA, solutions are reviewed by internal certification experts (EXI), and external ones subcontracted for an independent assessment.

Keywords: ai,deep learning,safety,explainability,traceability,cyber physical system,certification,mpsoc
Open Modelling Toolbox for development of long-term pathways for the energy system in Tunisia (OpenMod4Africa Hop-on) (OM4A-Tunisia)

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: Research and Innovation actions
Countries involved: Norway,Tunisia
Call: Hop on Facility (HORIZON-WIDERA-2023-ACCESS-06, 2023)
Duration (months): 18.0
Total project cost (EUR): 201000.0
EU funding (EUR): 201000.0
Participants: 2
Project status: CLOSED

The HEU project OpenMod4Africa aims to develop an open energy system modelling toolbox for Africa, the OM4A toolbox. OpenMod4Africa applies the toolbox on two large regions, the Western and the Eastern Africa. This hop on project expands the scope from the two regions and enhances the project's reach to the Northern Africa region by, incorporating Tunisia as a real-world case for the toolbox. Main objectives are: 1. Improve the robustness and relevance of the OM4A toolbox. 2: Enhance energy system modelling capacity among Tunisian researchers and academia in general and about the OM4A toolbox in particular. 3: Provide new knowledge about possible alternatives for development of the Tunisian energy system towards a cost-efficient, secure and low carbon future including possibilities for export of green energy to Europe by applying the OM4A toolbox. 4: Actively involve Tunisian politicians and decision makers in development of the pathways for the Tunisian energy system. 5: Contribute to develop the African energy system modelling community - the OpenMod4Africa's Permanent Network 6: Pave the way for a wider use of the results in the North African region by developing replication strategies. The project will pave the way for a scientific, holistic, and robust approach to planning and developing the future energy and power system in Tunisia in and beyond the project. The project involves various stakeholders, including government entities to create a unified strategy for energy planning. This multi-sectoral collaboration enhances the likelihood of effective implementation and continuous updates to energy plans. The new OpenMod4Africa partner, Ecole Nationale d’Ingénieurs de Monastir (ENIM) from Tunisia, will gain experience in EU research projects and develop network with African and European academic groups which will support future project development and collaboration. The HopOn project will last for the 18 last months of the OpenMod4Africa project period.

Keywords: long term planning energy system,open models and data,capacity building,tunisian case studies