Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Universal prevention of maternal perinatal mental disorders and its implementation as normalized routine practice (e-Perinatal)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention,  Diagnosis and T reatment of Human Diseases
Panel description: Medical technologies  and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions , pharmacology, preventative  medicine, epidemiology and public health , digital medicine
Countries involved: Spain
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1486172.5
EU funding (EUR): 1486172.5
Participants: 5
Project status: SIGNED

Maternal mental disorders are the most common complications during pregnancy and within the first year after childbirth (defined as the perinatal period) and are the leading cause of maternal suicide. Affected mothers cannot function properly, causing a devastating impact on the entire family. Effective primary prevention interventions are urgently needed. However, the current scientific evidence is insufficient to implementing primary preventive programs at the population level. I aim to establish the effectiveness of universal preventive interventions for maternal perinatal mental disorders and to support their implementation as normalized routine practice in global healthcare services. Integrating classical and emerging methodological frameworks (family systems, self-determination theory, and normalization process theory), as well as the perspective of patient and public involvement in research, I will: (a) Develop a personalized mobile-Health preventive intervention for mothers and their partners, which integrates evidence-based psychological components and personalized health recommendations; (b) Test preventive intervention effectiveness for reducing the incidence of maternal depression and anxiety disorder, reducing father/partner symptoms of depression and anxiety, and promoting child health and development; (c) Apply a causal methodology, to pinpoint the underlying mechanisms for the effectiveness of the preventive intervention; and (d) Understand the implementation process and identify the factors that can promote or inhibit implementation. With the multidisciplinary team that I lead – and a large-scale hybrid effectiveness-implementation trail in real-world maternal health services – this research programme promises to be the first in its field. The resulting robust scientific evidence and novel explanatory model will create a new research paradigm. A toolkit for implementation research will enhance translation as normalized routine practice.

Keywords: prevention perinatal mental disorders postpartum depression women primary health care
POLYmer-grafted nanoparticles for improVing cycle life Of Lithium baTteries (POLY-VOLT) (POLY-VOLT)

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: Chemistry
Countries involved: Italy,United States
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-05-01
End date: 2027-04-30
Duration (months): 24.0
Total project cost (EUR): 193643.28
EU funding (EUR): 193643.28
Participants: 2
Project status: SIGNED

Lithium metal batteries (LMBs) are the most prominent, higher-energy alternative to conventional Li ion batteries, but face commercialization problems primarily associated to the growth of Li dendrites, which causes premature device failure. A promising approach to mitigate dendritic growth involves the deployment of polymeric solid-state electrolytes (SSEs). In these systems, inorganic nanoparticles (NPs) are often dispersed within polymer matrixes to improve mechanical properties and reduce crystallinity, thus increasing ionic conductivity. However, NPs tend to agglomerate, creating heterogeneities that decrease performance and promote dendritic growth. In POLY-VOLT, polymer chains will be covalently grafted onto inorganic surfaces forming polymer-grafted nanoparticles (PGNs) where polymer crystallinity and NP agglomeration are simultaneously suppressed, maximizing the advantages of combining polymer and inorganic fillers in SSEs. Additionally, PGNs present the unique advantage of fully tailorable structural parameters, such as the density of grafted polymer chains and their molar masses. Thus, these parameters will be finely tuned to form a library of PGN SSEs and comprehensively dissect the effect of structural features on conformation, segmental motion, Li ion transport, and mechanical strength. These properties will then be correlated to cycling stability and dendritic growth in LMBs. The library will comprise polymer grafts containing ethylene oxide and/or ethylene imine units. Indeed, the distinct architecture of PGNs will enable to overcome the crystallinity issue that limit the use of poly(ethylene imine)s in SSEs, thus exploiting the high coordination ability of N atoms, opening new avenues for N-rich electrolytes. POLY-VOLT will therefore considerably advance the field of SSEs, accelerating the development of reliable LMBs and the transition to greener technologies, responding to the urgent demands of the EU Green Deal.

Keywords: polymer grafted nanoparticles,polymer electrolytes,lithium metal batteries,controlled radical polymerizations
Protecting Irregular Migrants in Europe: Institutions, Interests and Policies (PRIME)

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 Social and Economic Transformations
Action type: Research and Innovation actions
Countries involved: Italy,Poland,Denmark,Sweden,Croatia,United Kingdom,Switzerland
Call: Conditions of irregular migrants in Europe (HORIZON-CL2-2022-TRANSFORMATIONS-01, 2022)
Start date: 2023-04-01
End date: 2026-03-31
Duration (months): 36.0
Total project cost (EUR): 2467708.0
EU funding (EUR): 2467708.0
Participants: 8
Project status: SIGNED

There is little knowledge on how and why the conditions of irregular migrants vary so dramatically across Europe. Key to this variation are countries’ and sectors’ different institutional landscapes. Understanding the role and effects of institutional variations, and the interests with which they are associated, is a critical precondition for effective national and EU policies on irregular migrants. PRIME will provide a new comparative institutional approach to understanding the conditions and vulnerabilities of irregular migrants in Europe. Understanding ‘irregularity’ as a complex, gendered status it will conduct large-scale surveys, structured policy analysis, and qualitative interviews with irregular migrants, employers, policy actors, interest groups and voters across eight European countries. PRIME will generate new analysis on how migrants’ outcomes and experiences are shaped by national socio-economic institutions (including national labour market regulations and welfare institutions), sectoral policies, and the actions and interests of migrants and citizens. PRIME will examine the inevitable goal conflicts that arise in policy-making toward irregular migrants, and propose strategies for how they may be best managed across different institutional settings to enable more effective policy-making that benefits both migrants and host communities. To engage its key target groups (national and EU policy actors, interest groups, and the scientific community), PRIME will create a ‘PRIME-Hub’ for joint knowledge creation and exchange which will extend beyond the project life-time. In this way PRIME will go beyond simple ‘best-practice’ models by providing evidence on context-sensitive strategies and policy tools as a basis for achievable and sustainable policy-making on irregular migrants.

Keywords: irregular migrants,comparative institutional analysis,enhancing rights protections,host country needs,policy effectiveness
Assessing the role of intratumoral microbiota in therapy responses using patient-derived tumor-on-chip (Arturo)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Cancer
Destination: Cancer
Action type: Research and Innovation actions
Countries involved: France,Portugal,Italy
Call: Addressing poorly-understood tumour-host interactions to enhance immune system-centred treatment and care interventions in childhood, adolescent, adult and elderly cancer patients. (HORIZON-MISS-2023-CANCER-01, 2023)
Start date: 2024-07-01
End date: 2028-06-30
Duration (months): 48.0
Total project cost (EUR): 5248985.0
EU funding (EUR): 5248985.0
Participants: 8
Project status: SIGNED

This action is part of the Cancer Mission cluster of projects on “Understanding (tumour-host interactions)". Challenge: Primary or acquired resistance to therapies is a major challenge in oncology. Recent research suggests that intratumoral microbiota may contribute to anti-cancer drug resistance, in particular to immunotherapies such as immune checkpoint inhibitors (ICI). However, experimental approaches to address the role of microbiota in human cancers are lacking. Solution: Project ARTURO will ethically tackle this problem by using an innovative state-of-the-art 3D tumor-on-chip (ToC) model, as part of the emerging field of Micro-Physiological Systems (MPS). Plan: The role of patient-derived bacteria, and of their postbiotics and released extra-cellular vesicles, in tumor ecosystem behaviors and drug responses, will be deciphered by integrating clinical data, omics analysis, and novel ToC-based information (by live imaging and single-cell transcriptomics). The development of advanced computational methods to extract ToC-based information constitutes a major force and innovation in the field, with high potential to accelerate future applications of ToC technology in clinics. The focus will be on two frequent poorly-understood cancer subtypes: non-small cell lung cancer (NSCLC) and invasive lobular breast cancer (ILC). End-users’ perspectives will be addressed using a co-design approach to develop ethically sound and evidence-based cancer-related innovation and health policies. Impact: ARTURO results are expected to lead to a deep understanding of processes underpinning tumor-host interactions, helping to conceive novel microbiota-based intervention strategies, in particular for NSCLC and ILC patients. ARTURO will take social, ethnical, cultural, and gender aspects into account, facilitating the translation of ARTURO's innovations to clinical practice and co-design of policies. Ultimately, the ARTURO impacts will be far-reaching, contributing to future developments in cancer precision medicine and diagnostics and to the EU Mission – Cancer.

Keywords: tumor microenvironment,microbiota,cancer 3d models,tumor on chip,lung cancer,lobular breast cancer,artificial intelligence,ethics,microfluidics,therapy resistance,immunotherapy
Lead-free halide perovskite memristors modified with buffer layers for sustainable and high-performance neuromorphic computing (MemSusPer)

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: Chemistry
Countries involved: Spain,Greece
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): 194074.56
EU funding (EUR): 194074.56
Participants: 2
Project status: SIGNED

The World's digital transformation generates vast amounts of data daily. Conventional computing technologies face serious challenges in efficiently handling all this information, leading to high energy consumption. Neuromorphic computing offers a more efficient solution by designing systems inspired by the structure and function of the human brain, which processes information in parallel with minimal energy consumption. A key component in this technology is the memristor, a novel electronic element that mimics the synapses and spiking processes of neurons. The memristors containing lead-based halide perovskites (Pb-HPs) are among the best-performing, but the presence of toxic Pb hinders their practical application. MemSusPer aims to develop sustainable, Pb-free HP memristor devices with high performance, stability, reproducibility, and low energy consumption. This will be achieved through two main strategies: (1) enhancing the quality of the perovskite films, and (2) using novel buffer layer materials, such as organic mixed ionic electronic conductors, to regulate the ions migration and induce new energy-efficient activation/deactivation mechanisms. I will conduct the research at the Institute of Advanced Materials (University Jaume I, Spain) with the guidance of Prof. Antonio Guerrero, a leading expert in the field. To validate the developed technology, a 4x4 memristor array will be fabricated using the advanced infrastructure of the Institute of Emerging Technologies (Hellenic Mediterranean University, Greece). MemSusPer is committed to advancing next-generation neuromorphic computing, which is not only high-performing but also eco-friendly, contributing to the green and digital transitions prioritised in the European Union's agenda. The multidisciplinarity and high impact of MemSusPer, combined with the training component of the MSCA-PF, will help me become a tenured independent researcher, expand my expertise, and strengthen my academic profile and networks.

Keywords: lead free halide perovskite,memristors,neuromorphic computing,omiecs,buffer layers,in memory applications,artificial synapse,resistive switching
The dynamics of genetic rescue from natural migrations in wolves (ResQ)

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: Denmark
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 230774.4
EU funding (EUR): 230774.4
Participants: 1
Project status: SIGNED

Dramatic biodiversity declines are driving Earth into a Sixth Mass Extinction. Drastic conservation plans such as genetic rescue have been proposed to mitigate the loss of genetic diversity, by introducing variation through admixture with closely related populations. However, the influx of new variation can also lead to an increase in genetic load, which can further compromise the survival of species. Since current studies of genetic rescue are based on few regions of the genome and lack a population genetics model, assessing the impact of these initiatives on the levels of genetic diversity and genetic load remains elusive. I propose to tackle this by studying the natural populations of European gray wolves in a temporal and spatial model, as their recent demographic history (strong bottleneck followed by a recovery in last decades) renders them an ideal case for exploring the dynamics of genetic rescue. In particular, I propose to leverage on an unprecedented dataset including >1,000 wolves genomes sampled across Eurasia at multiple time points (before and after population decline and the subsequent recovery) to generate the most comprehensive catalog of genomic diversity in European wolves to date. Taking advantage of recent developments in population genomics, computational biology, palaeogenomic sequencing and evolutionary modeling, I will reconstruct their recent demographic history, migrations patterns and adaptive potential, and determine the demographic parameters that predict a successful genetic rescue. This predictive modeling tool will be capable of guiding conservation management in wolves and applicable to other endangered populations. The combination of my host’s extensive experience in canid evolution, statistical methods and modeling, together with my background on population genomics ensures the successful implementation of this action and will enhance my set of essential skills on genomics methods for conservation.

Keywords: conservation genomics conservation evolutionary genomics genetic diversity population genomics genetic rescue genetic load historical dna next generation sequencing
Predicting the Extreme (PREXTREME)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental Constituents of Matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Germany
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): 1486250.0
EU funding (EUR): 1486250.0
Participants: 1
Project status: SIGNED

Matter at extreme densities and temperatures is ubiquitous in nature and occurs, e.g., in planetary interiors. In addition, such warm dense matter (WDM) conditions are of high importance to technological applications such as nuclear fusion. Therefore, there has been a remarkable investment in the experimental realization of WDM in large research facilities around the globe, leading to a number of spectacular discoveries. Yet, the absence of a reliable theoretical description of WDM is severely hampering this progress. This is best illustrated by considering hydrogen, the most simple and abundant element in the universe. Even here, a multitude of pressing questions continues to be unanswered: What is the nature of the insulator-to-metal phase transition of hydrogen at high pressure? How do electronic properties of hydrogen impact the evolution of giant planets and brown dwarfs? And how can a hydrogen pellet best be compressed to efficiently produce electrical power in a fusion reactor? The central obstacle on the path towards answers to these questions is the fermion sign problem, one of the most fundamental computational bottlenecks in physics, chemistry, and related disciplines. Recently, a number of methodological breakthroughs has allowed me to present the first accurate data for the electronic properties of WDM over substantial parts of the relevant parameter space. This was achieved using supercomputers and the data-driven construction of AI surrogate models. In PREXTREME, I propose to explore a hitherto unattempted complete solution to the sign problem, which will allow me to answer many questions about warm dense hydrogen and heavier elements with a direct impact on applications in material science, astrophysical models, and nuclear fusion. Moreover, my envisioned approach will revolutionize quantum many-body theory, with important implications for a gamut of fields including high-temperature superconductivity, high-pressure-physics and ultracold atoms.

Keywords: path integral monte carlo,warm dense matter,machine learning,density functional theory
Recurrent miscarriage as a complex phenotype: Harnessing large-scale clinical data to uncover underlying biological pathways (RMCmplxPheno)

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: Denmark
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-07-01
End date: 2023-12-31
Duration (months): 18.0
Total project cost (EUR): 173080.8
EU funding (EUR): 173080.8
Participants: 1
Project status: CLOSED

Recurrent miscarriage (RM) affects 1% of couples trying to conceive and has a wide range of negative physical and mental impacts yet still has few evidence-based, preventative treatments. RM is used as a catch-all term for an event with diverse underlying causes. Broad categorisation hampers research targeting specific causes that could identify potential therapeutic avenues. This generalisation compounds trauma for patients and the path to successful pregnancy is unclear. As a MSCA fellow at the University of Copenhagen, I will generate deeper understanding of RM aetiology by identifying granular subgroups of RM and elucidating their underlying biology. To do so I will: 1) Establish novel phenotypes derived from clinical data in electronic health records, including ultrasound images, and use these phenotypes to identify clinical phenotypes driving current miscarriage classification systems. 2) Apply hypothesis-free unsupervised machine learning to clinical data to disentangle complex phenotypes of RM into clinically relevant subgroups. 3) Employ genetic analyses to characterise biological pathways underlying these RM subgroups and identify potential therapeutic avenues. This fellowship will allow me to apply my skills and expertise in large-scale biomedical data analysis and genetics to a new field in which I will pursue a long-term career. In particular it will provide training in field specific scientific knowledge (obstetrics and gynaecology), cutting edge techniques (machine learning) and transferable skills towards scientific leadership (research management). Taken together the outcomes of this interdisciplinary research will have ramifications for researchers, clinicians and patients. For researchers, a granular understanding of RM and its causes will enable discovery of novel therapeutic avenues. For clinicians, it would assist clinical decision making towards personalised treatments. For patients, alleviation of trauma through empowerment with information.

Keywords: recurrent miscarriage,reproductive health,genetics,machine learning
Calving Law for Ice-Climate Simulations (CALIX)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: United Kingdom,Finland,United States
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-03-01
End date: 2031-02-28
Duration (months): 60.0
Total project cost (EUR): 2489721.0
EU funding (EUR): 2489721.0
Participants: 5
Project status: SIGNED

Global sea levels will continue to rise as ice sheets shrink in response to climate change, but predictions vary widely on how much ice will be lost in different carbon futures. The single largest source of uncertainty is iceberg calving rates. Calving can cause more rapid ice loss than any other process, but no reliable method currently exists for representing calving in numerical models. CALIX seeks to find and apply the elusive universal calving law, by adopting a radical new approach based on the self-organising nature of glacier systems. The calving law will be formulated using bulk statistical properties of calving events, and will be rooted in both detailed observations and sound theory. The calving law will be implemented in leading ice-sheet models, throughly tested, and used in model run ensembles to determine the most-probable Antarctic Ice Sheet contribution to sea level into the 22nd Century under different mitigation and business-as-usual carbon scenarios. CALIX will address a major knowledge gap in glacier science, and will revolutionise our ability to understand ice-sheet stability, predict ice-sheet response to climate change and anticipate the global consequences.

Keywords: ice sheet model,iceberg calving,calving law,greenland,antarctic ice sheet