Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Fostering Multilingualism through LAnguage TEacher COllaboration (LATECO)

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,Austria
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-11-01
End date: 2027-10-31
Duration (months): 24.0
Total project cost (EUR): 251578.56
EU funding (EUR): 251578.56
Participants: 2
Project status: SIGNED

The European Union advocates learning multiple languages in school as a cornerstone for addressing challenges and opportunities of increased linguistic and cultural diversity in Europe. However, teachers often struggle to adopt multilingual approaches, and effective collaboration across language subjects is scarce. This results in languages being taught in isolation, failing to fully utilize students’ linguistic repertoires. LATECO addresses this urgent issue by exploring language teachers’ mindsets and the impact of their collaboration across three language subjects in schools. The project aims to transform language teaching in European schools, making multilingualism an inclusive experience for students while fostering shared practice and growth among teachers. LATECO will pursue three objectives: 1) to investigate language teachers’ mindsets about cross-linguistic collaboration, 2) to assess the effects on teachers’ mindsets, practices, and students’ perceptions of a professional development intervention regarding cross-linguistic collaboration in Norway, 3) to adapt and replicate successful collaboration strategies across Europe. This innovative project combines psychological and multilingual dimensions, adopting an exploratory mixed-methods approach with a longitudinal multiple case study in Norway and a focus group study across Europe. LATECO will be hosted at the University of Bergen under the supervision of Prof. Åsta Haukås, a leading scholar in multilingualism and language teacher education. A secondment at the University of Graz and a short visit to the University of Copenhagen will refine data collection tools and discuss findings. The project’s outcomes promise enhanced multilingual competences among students, increased teacher efficacy, and adaptable strategies for cross-linguistic collaboration to diverse educational contexts, directly responding to the European Union’s call for advancing multilingualism and educational innovation.

Keywords: multilingualism,multilingual education,language teacher collaboration,mindset,teacher professional development,language learning
Stabilization of Carbon Chain and Application on Metal-free Catalyst (SCCAMC)

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: Information Science and Engineering
Countries involved: Italy
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-08-01
End date: 2025-07-31
Duration (months): 24.0
Total project cost (EUR): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: SIGNED

Carbon chain with true 1D structure attracts significant attentions and are expected to bring new knowledge in nanoscience. It is recognized that linear carbon chain owns outstanding fundamental properties such as higher modulus and stiffness than graphene, extremely high mobility and tunable band gap. However, the preparation and applications were limited by the high reactivity for hundred years. Fortunately, recent researches show the possibility to keep carbon chain exist in special condition. For instance, long linear chain encapsulated inside carbon nanotube, free standing polyyne molecules end-capped by functional group and two dimensional graphyne film made of sp-sp2 hybrid structure, et al. Now, both of basic property study and large-scale preparation of carbon chains are in progress. It is the key moment to explore the potential applications. The goal of SCCAMC is to prepare solid carbon chain-based materials which can be stable in normal condition, and to develop the application on metal-free catalyst for fuel cell. Hence, SCCAMC will provide a common method to largely extend the use of carbon chain. The research will prepare and enrich carbon chains in large yield. Functionalization will help to stabilize carbon chains in high concentration. By choosing different functional group, the modification of physical and chemical properties can be realized. Then it is expected to obtain stable solid materials in normal condition, which will largely extend their using realm. A standard procedure to combine large-scale preparation, enrichment, functionalization and solidification will be set up. Furthermore, the obtained carbon chain-based materials will be used as metal-free catalyst for fuel cell after nitrogen doping. By studying on the detailed mechanism, the design of carbon chain-based materials will be optimized for different application, specifically on fuel cell in this project.

Keywords: carbon chain,carbyne,fuel cell,metal free catalyst
Statistical theory and methodology for the combination of heterogeneous and distributed data (HeDiStat)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: United Kingdom
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2024-10-01
End date: 2029-09-30
Duration (months): 60.0
Total project cost (EUR): 1499689.0
EU funding (EUR): 1499689.0
Participants: 1
Project status: SIGNED

Data is now collected at unprecedented scales across many industries, meaning that there is huge potential for evidence-based advances in science, technology and public policy. However, to harness this potential we must navigate repositories that are often a far cry from the idealised datasets, carefully collected and curated under perfect conditions, that are usually imagined when new statistical methodology is introduced. Data are often gathered quickly and cheaply, patched together from multiple locations, with limited regard to enforcing experimental standards. We may have the large sample sizes we desire, but there will be missing values, misaligned datasets, contamination and, depending on the sector, there may be noise added purposefully to satisfy individuals' and regulatory bodies' privacy concerns. We propose to address such difficulties through the development of new statistical methodology and theoretical frameworks that explicitly incorporate various forms of data heterogeneity and measurement error. This will be divided into four main areas: 1. Accounting for sampling bias when a complete dataset is complemented by additional incomplete datasets. This will be studied through the lens of semiparametric theory for functional estimation. 2. Combining two or more datasets that record overlapping but distinct sets of variables, where few or no complete records of all variables are available. These file matching problems will be studied using new developments in statistical optimal transport. 3. Examining the effect of the violation of missing data assumptions. Here we will introduce techniques from robust statistics to mitigate the error due to misspecifying assumptions about sampling bias. 4. Securing individuals' private data through the intentional use of noisy measurement. Here we contribute to the growing field of differential privacy, specifically the user-level local variant, where distributed batches of observations are privatised simultaneously.

Keywords: missing data data fusion local differential privacy optimal transport
MONitor and DETect (MONET)

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: Ireland
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-02-01
End date: 2026-01-31
Duration (months): 24.0
Total project cost (EUR): 215534.4
EU funding (EUR): 215534.4
Participants: 1
Project status: SIGNED

Aphids are among the major global pests, causing significant economic damage to food and commodity crops. Barley/Cereal yellow dwarf virus (B/CYDV) is vectored by aphids and is one of the most important viral diseases in cereals and grass species in the family Poaceae, with yield losses ranging from 5% to 80%. Potato Virus Y (PVY) a is transmitted by more than 40 aphid species, and is fifth in the world’s top ten most important plant viruses. In potato, it causes substantial yield reduction and loss of tuber quality.The EU has indicated through the EU Biodiversity Strategy 2030 the need to reduce use of pesticides by 50% by 2030. Better diagnostic capabilities for B/CYDV and PVY allows targeted pest control, reducing unnecessary pesticide application, which will contribute to achieving this reduction. MONET will improve understanding and control of these viruses by; 1) Advancing detection of B/CYDV and PVY. 2) Identifying the vector responsible for infection through surveying B/CYDV and PVY species in crops and aphid vectors. Knowing the principle vector and viral strain is crucial for improving DSS for farmers. 3) Investigating virus-vector manipulation using viral transmission assay with primary aphid vectors and most common strains of virus found in Ireland.

Keywords: entomology,aphid,bydv,pvy,integrated pest management,diagnostics,
SBMP - disrupting the manufacturing of biological drugs through a ground-breaking nanotechnology-based microcarrier (SBMP-microcarrier)

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: Sweden
Call: EIC Accelerator Open (HORIZON-EIC-2022-ACCELERATOR-01, 2022)
Start date: 2022-10-01
End date: 2024-09-30
Duration (months): 24.0
Total project cost (EUR): 3551225.0
EU funding (EUR): 2485857.5
Participants: 1
Project status: CLOSED

Cellevate proposes a completely novel type of nanofibrous microcarriers for adherent cell culture in bioreactors based on the proprietary Superior Biologics Manufacturing Platform (SBMP). It is a game-changing deep-tech innovation for the biopharmaceutical industry. SBPM-microcarriers are highly customizable, faithfully replicate the 3D extracellular environment found in the human body, and provide a 60 times larger area for cell growth compared to competitive solutions. The unique scaffold properties are a result of a patent-pending nanofiber scaffold production technology (PCT/EP2020/081958) which creates networks of polymer nanofibers that can be handled in a liquid form, unachievable by competing solutions. By offering high yields and ensuring the optimal conditions for human cell growth, SBMP-microcarriers have the potential to transform the biopharmaceutical market by pushing the limits of today’s biological drugs production to an unachievable level of quality and efficiency.

Keywords: nanofibers,microcarriers,adherent cell culture
COntinuous COnstruction of resilient social COntracts through societal transformations (CO3) (CO3)

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: Finland,Sweden,Portugal,Bulgaria,Germany,Türkiye,Croatia,France,Ukraine
Call: Democratic governance for times of disruptive changes to the social contract (HORIZON-CL2-2023-DEMOCRACY-01, 2023)
Start date: 2024-02-01
End date: 2027-01-31
Duration (months): 36.0
Total project cost (EUR): 2998905.5
EU funding (EUR): 2998905.5
Participants: 10
Project status: SIGNED

A social contract is a political-theoretical concept which describes the (fictive) basic agreement between the members of a polity on the principles of this polity. There is a long legacy of various definitions of a social contract in political theory. There is also a long historical legacy of practiced social contracts, in countries inside and outside the European union. To grasp the impact of the social contract between individuals and groups as well as between the demos and the state across societies, it is crucial to understand the concept in plural and analyse how definitions and practises shape also the scope, implications, and resilience of social contracts in the face of societal transformations. This requires a high-level of context sensitivity and ability to shift between local, regional, national, and transnational settings. Based on the analyses of the limitations of, and challenges to the social contracts in political theorising and practices, CO3 aims at developing and promoting a more democratic, more inclusive and more open model of social contracts, which manifest political and social resilience in the face of major societal challenges, crises, and anti-democratic tendencies. Drawing from 8 empirical case studies in EU member states, and in 3 non-member states, CO3 researchers safeguards and mechanisms for resilient social contracts overtime. While the theoretical ambition of the CO3 project is to analyse how the contemporary theories of the social contract contribute to our understanding of the social contracts in the current crises-driven European political environment, the empirical ambition is to investigate contradictions and tensions between practices, narratives and lived experiences in social contracts across EUrope through concrete cases. As a result, CO3 generates evidence-based knowledge on the safeguards and mechanisms for promoting resilient social contracts, which support citizen involvement and democracy across EUrope.

Keywords: political theory,philosophy,gender,social contract
Computational Complexity of Highly Nonlinear Approximations (COCOA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-07-01
End date: 2030-06-30
Duration (months): 60.0
Total project cost (EUR): 1996375.0
EU funding (EUR): 1996375.0
Participants: 1
Project status: SIGNED

The efficient numerical treatment of partial differential equations on high-dimensional spaces often requires approximation methods involving a high degree of nonlinearity, such as low-rank tensor representations or neural networks. By exploiting structural features of solutions, such approaches in many cases promise extremely efficient approximations. However, due to the corresponding greater difficulty of computing highly compressed representations, such results need to be considered in conjunction with the costs of numerical methods for constructing these approximations. A main objective of the project is to address the gap between theoretical complexity bounds and the performance of practical implementations of solvers, with particular focus on low-rank tensor representations, linear combinations of arbitrary Gaussian functions, as well as neural networks and more general compositions of functions. We also aim to understand the relative suitability of particular nonlinear approximation methods for different problem classes, such as problems with many parameters, evolution problems for probability distributions and wave functions, and eigenvalue problems in quantum chemistry. In each case, it is crucial to avoid numerical instabilities in the interaction of nonlinear approximations and differential operators and to ensure reliability of results in high dimensions by suitable computable error bounds.

Keywords: numerical methods for partial differential equations,high dimensional problems,parameter dependent problems,evolution problems,eigenvalue problems,nonlinear approximation,adaptive methods,complexity estimates,sparse expansions,low rank tensor representations,linear combinations of gaussian functions,neural networks
Pushing Boundaries in Pre-clinical Aortopathy Research (BREAK-OUT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology  of ageing , pathophysiology, inter - organ and tissue communication, endocrinology, nutrition,  metabolism, interaction with the microbiome, non -communicable diseases including cancer (and except disorders of the nervous system  and immunity -related diseases)
Countries involved: Belgium
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-09-01
End date: 2029-08-31
Duration (months): 60.0
Total project cost (EUR): 1494848.0
EU funding (EUR): 1494848.0
Participants: 1
Project status: SIGNED

Thoracic aortic aneurysm (TAA) entails a high risk for aortic dissection and rupture, which is a prominent cause of death in Western countries. Prophylactic surgery significantly reduces the mortality risk, but complications are relatively common. Moreover, in severe TAA conditions aneurysms often develop at other locations afterwards, exposing patients to repeated surgeries and, thus, threats. Current drug options only modestly slow down dilatation, without preventing dissections or ruptures. Clearly, a game changer in TAA patient management would be the availability of medical therapies capable of stopping or reversing aneurysm formation. Functional characterization of the known TAA genes, especially those that are linked to syndromic TAA, in relevant cell and/or mouse models has already delivered valuable insights into the disease mechanisms, prompting pre-clinical drug testing in mice. The mechanistic picture is incomplete though, encumbering the development of additional, and especially more effective, therapies. Another prevailing issue is the inefficient and/or unsuccessful translation of pharmacological mouse results to the clinic. Few compounds make it to clinical trials due to the high costs, lengthy time frames and difficulties as to patient recruitment. Additionally, while TAA mouse models allow us to study and therapeutically target disease in an in vivo setting, efficiency of ensuing compounds might not be recapitulated in humans. Building on intriguing preliminary data and the unique availability of mutant/control Fbn1 and Ipo8 mice and human induced pluripotent stem cells, this project aims to contribute to the resolution of these issues by further unravelling and therapeutically targeting the mechanisms underlying syndromic TAA. Additionally, BREAK-OUT will provide proof-of-concept that patient-derived aorta-on-a-chip models can be used for pre-clinical TAA research.

Keywords: thoracic aortic aneurysm and dissection,drug discovery,aorta on a chip,transcriptomics,transgenic mouse models
Gender Gaps in Innovation: From Entrepreneurship to Academic Science (GenderGapsInnovation)

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: Economic Sciences
Countries involved: Netherlands
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-08-01
End date: 2026-07-31
Duration (months): 24.0
Total project cost (EUR): 203464.32
EU funding (EUR): 203464.32
Participants: 1
Project status: TERMINATED

Innovation is widely recognized as a key driver of economic growth. However, large gender disparities persist in crucial components of the innovation ecosystem: entrepreneurship and academic science. In the EU, for instance, women represent only 34% of entrepreneurs. Globally, female-owned businesses tend to be smaller, less profitable, and face challenges raising external funding. This disparity also extends to academic innovation, where women remain underrepresented and are less likely to receive credit for their research. Moreover, critical research areas, such as health issues that predominantly affect women, remain under-studied. Given the implications for economic growth and societal wellbeing, the overarching goal of this research is to understand the determinants of the gender gaps in entrepreneurship and science as well as their consequences for innovation. To address these knowledge gaps, during my MSCA fellowship at Tilburg University, my research objectives will (1) explore potential determinants of the gender gap in entrepreneurship; (2) investigate interventions and policies that can address these gaps; and (3) understand the consequences of the lack of gender diversity in innovative activities, especially in academic science, on the production of ideas and how ideas by women are perceived. To achieve these objectives, I will conduct three interconnected studies. In the first study, I will use Dutch microdata to assess the role of motherhood and the impacts of maternity leave policies on female-owned businesses. Second, I build upon an experiment in Ghana to evaluate how access to online networking can close the gender gap in business performance. Finally, I will investigate how increasing gender diversity at universities can impact research topics and the recognition of female-authored work. Together, these investigations delve into gender disparities in entrepreneurship and refine our understanding of how diversity fosters innovation.

Keywords: gender economics