Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
NEUROendocrine SENSor for Sudden Unexpected Death in Epilepsy (SUDEP) prediction and prevention (NEUROSENSE)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Portugal,Denmark,Sweden,France,Switzerland
Call: EIC Pathfinder Open 2021 (HORIZON-EIC-2021-PATHFINDEROPEN-01, 2021)
Start date: 2022-06-01
End date: 2026-05-31
Duration (months): 48.0
Total project cost (EUR): 3739723.75
EU funding (EUR): 3739723.75
Participants: 9
Project status: SIGNED

NEUROSENSE proposes a novel and visionary technology resulting from the demonstration of the upstream role of arousal in the sudden unexpected death in epilepsy (SUDEP). SUDEP is a societal challenge for which there is neither prediction nor prevention. Research in the field has for long been refining classic concepts based on the cardiac, respiratory and autonomic nervous systems impairment. Our vision is different and based on the neuroendocrine processes of epileptic seizures and arousal, which are expected to be impaired in SUDEP. The NEUROSENSE project will develop the first SUDEP Medical Device (SMD) prototype supported by artificial intelligence (AI) to anticipate life-threatening seizures and trigger automatic emergency drug administration to prevent SUDEP. This represents the very first viable solution towards a societal-friendly management of epilepsy-derived mortality, thus enabling the prevention of SUDEP worldwide. This will be achieved through the combination of expertise and innovative ideas in epilepsy and SUDEP, biosensors for medical devices, animal models of epilepsy and SUDEP and mathematical modelling. To tackle the objectives of the NEUROSENSE project, a multidisciplinary group of European leading experts in key technological areas will ensure that the complete chain of value is enclosed in a multifaceted analysis. The high-risk character of this joint science and technology research is offset by the multidisciplinary nature of the Consortium, by strong and extensive preliminary data and by the high socio-economic gain resulting from its successful execution. Based in the new SMD technology, we will build a diverse portfolio of future projects that will result in a long-term benefit for people with epilepsy, their families, the economy and society.

Keywords: epilepsy sudden death in epilepsy neuroendocrinology biosensors cortisol medical device
Unmanned Airborne Water Observing System (UAWOS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Innovative governance, environmental observations and digital solutions in support of the Green Deal
Action type: Innovation actions
Countries involved: Denmark,Latvia,Croatia,Italy,Sweden,Germany,Spain,United Kingdom
Call: New technologies for acquiring in-situ observation datasets to address climate change effects (HORIZON-CL6-2022-GOVERNANCE-01, 2022)
Start date: 2023-02-01
End date: 2027-01-31
Duration (months): 48.0
Total project cost (EUR): 3350902.5
EU funding (EUR): 2868871.5
Participants: 10
Project status: SIGNED

Background: High-resolution monitoring of rivers is important because rivers are severely affected by climate change and frequency/magnitude of extreme events are changing fast. Advanced in-situ monitoring technologies have to be combined with satellite earth observation (EO) to obtain accurate, reliable and spatio-temporally resolved information for effective decision support, risk assessment, climate change adaptation investment analysis, and operational forecasting/surveillance. Problem being addressed: Traditional hydrometric monitoring of rivers is in-situ and station-based. In-situ monitoring networks lack spatial resolution, have been declining in many regions, and data accessibility is increasingly restricted because of growing conflicts between countries over water resources allocation. In order to solve this problem, hydrometric monitoring using satellite earth observation has to be combined with drone-borne hydrometric monitoring technology for validation, deployment in remote and inaccessible regions, and to enable reliable and accurate river discharge estimation. Our solution: UAWOS develops a drone-borne water observation system providing key hydrometric variables (bathymetry, velocimetry, water surface elevation) at high spatial resolution/coverage, and data-based products/services supporting management and decision making. UAWOS integrates airborne data streams with Copernicus water bodies and water level services for cross validation and to estimate river discharge from satellite EO data. Impact: We expect that UAWOS hydrometric monitoring solutions will be factor 2-3 cheaper compared to traditional in-situ surveying. UAWOS technology will provide very high spatial resolution with accuracy on par with traditional in-situ monitoring. The technology will support smart governance/regulation in the context of the Green Deal, and create new opportunities for European business, both as a stand-alone solution and in combination with satellite EO.

Keywords: uas hydrometry,climate change adaptation,flood surveillance,water resources management
Political Elites and Regime Change in the Middle East and North Africa: Accommodation or Exclusion? (MENA-PERC)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Italy
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1915601.0
EU funding (EUR): 1915601.0
Participants: 1
Project status: SIGNED

Whether political elites accommodate or exclude their rivals during regime crises can be a matter of life and death. Following the 2011 uprisings in the Middle East and North Africa (MENA), elite compromise sustained a democratic transition in Tunisia, while elite conflict triggered a coup in Egypt. Tunisia has since seen three democratic elections, while thousands of Egyptians were jailed or killed by the new military regime. Why do elites in some cases pursue accommodation while they push for excluding their rivals in others? MENA-PERC proposes an answer to this puzzle: the degrees of asymmetry and polarization between regime coalitions and their challengers shape elite preferences for accommodation or exclusion. These preferences, in turn, determine the type of regime emerging from crisis. Regime coalitions comprise elites who provide crucial links to social constituencies and whose collective support stabilizes the regime. The project theorizes the role of these actors, linking macrolevel outcomes in terms of regime types to evidence on the microlevel of individual elites. The project draws on evidence on 12 regime spells in three MENA countries across more than a century. Regime coalitions are identified by focusing on members of parliament in Egypt (1882-present), Tunisia (1907-present), and Turkey (1908-present), observing processes of elite change empirically based on individual-level data on these elite members and leveraging these data in a mixed-methods design. Second, the project traces causal mechanism through elite surveys and in-depth fieldwork examining authoritarian consolidation in contemporary Egypt, democratization in Tunisia, and democratic backsliding in Turkey. The project makes three contributions. It theorizes why elites accommodate or exclude during regime crises; it pioneers an innovative way of testing this model by observing elite change over time; and it traces the model’s causal mechanisms in ongoing processes of regime change.

Keywords: authoritarian regimes,political elites,regime change,middle east and north africa
The role of structural genomic variants in eco-evolutionary processes (EVOL-SV)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental B iology, Ecology  and E volution
Panel description: For all organisms : Ecology, biodiversity, environmental change , evolutionary biology, behavioural ecology, microbial ecology , marine biology, ecophysiology, theoretical developments and mod elling
Countries involved: France
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2023-12-01
End date: 2028-11-30
Duration (months): 60.0
Total project cost (EUR): 1499998.75
EU funding (EUR): 1499998.75
Participants: 1
Project status: SIGNED

Genetic diversity is a fundamental level of biodiversity at a time of global change. It provides variation that underpins species persistence and their adaptation to changing environments. Variation in the direction or presence of DNA sequences has been largely overlooked until now. Yet, those structural variants (SVs) represent a key aspect of genetic diversity. SVs cover 3 to 10 times more of the genome than the well-studied single-nucleotide variants and have different properties (length, effect on recombination, mutation rate). Structural variation thus represents a quantitative and qualitative shift in our understanding of genetic diversity, with predicted, but understudied, implications for evolution. The project EVOL-SV calls for a reassessment of the genomic basis of eco-evolutionary processes. My ambition is to lead new research avenues on the impact of SVs in ecology and evolution and to determine the contribution of SVs to current biodiversity. I will combine cutting-edge genomics and powerful experimental approaches, developed throughout my career, to perform multidisciplinary research on a focal system, Coelopa flies, and then across taxa. First, I will investigate SVs within a population genetic framework in Coelopa spp. to determine how SV properties affect their distribution and effects on fitness. Second, I will assess the contribution of SVs to deleterious load in a case of range shift northwards. Third, I will examine how SVs contribute to phenotypic adaptation, focusing on parallel climatic gradients and rapid thermal variation. Fourth, at a broader phylogenetic level, I will draw general principles about the evolution of structural genetic diversity. EVOL-SV will have long-term impacts by providing the first comprehensive assessment of structural genetic diversity across the tree of life, developing the study of SVs in non-model species, and determining how genetic architecture contributes to evolutionary response in a rapidly changing world.

Keywords: biological diversity adaptation,genetic diversity,structural variants,climate change
Leveraging identification of endocrine disruptors using new approach methodologies based on human adult ovarian follicle cells (MERLON2)

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: Denmark,Estonia
Call: Hop on Facility (HORIZON-WIDERA-2023-ACCESS-06, 2023)
Duration (months): 44.0
Total project cost (EUR): 600000.0
EU funding (EUR): 600000.0
Participants: 2
Project status: CLOSED

Reproduction is regulated by the endocrine system and its disturbances by endocrine disruptive chemicals (EDCs) may lead to infertility. As humans are constantly exposed to EDCs through the use of common household items and personal care products, it is important to test chemicals for their potential activity as endocrine disruptors affecting reproductive function. Project MERLON aims to study the effects of EDCs on sexual development and function in order to deliver new approach methodologies (NAMs) for EDC identification. While MERLON targets the vulnerable stages of development from fetal to puberty, MERLON2, with additional partner TalTech, will add one more sensitive window of susceptibility in female reproduction to the project: the adult preovulatory ovarian follicle, where the oocyte maturation takes place. In collaboration with TalTech, it was recently demonstrated that follicular somatic cells (FSCs) lose sensitivity to follicle stimulating hormone (FSH) in the presence of a mixture of 13 EDCs. FSH is crucial for both, the oocyte maturation and for the synthesis of steroid hormones by the FSCs. We have also demonstrated the intricate heterogeneity of somatic cells in the ovarian follicle. The roles that FSC subpopulations play in the adverse effects of EDCs are unknown and unaddressed by the initial MERLON project. MERLON2 will complement the aims of the consortium by developing NAMs based on single-cell transcriptomics, automated image analysis, and machine learning to understand the effect of EDCs on FSC subpopulations and their sensitivity to FSH. This will increase the research output for MERLON in the number of proposed NAMs and quantitative adverse outcome pathways. As a result of MERLON2, the range of stakeholders will enlarge, increasing public awareness related to the harmful health effects of EDCs and proposing new approaches to resolve the complicated issue of testing substances in everyday products for their adverse effects on human fertility.

Keywords: endocrine disruptors,nams,ovarian follicle cells
REinforcement TWInning SysTems: from collaborative digital twins to model-based reinforcement learning (RE-TWIST)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and Processes Engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Belgium
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-02-01
End date: 2030-01-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 2
Project status: SIGNED

The concept of digital twins promises to revolutionize engineering by offering new avenues for optimization, control, and predictive maintenance. Digital twins seek to virtually replicate systems using models that continuously "learn" from data, automatizing data collection, validation, and refinement and becoming "self-learning" models. However, this concept is not yet established in engineering and requires significant developments in integrating machine learning with traditional "domain-specific" knowledge. The Re-Twist project tackles this challenge with two objectives. The first objective is to develop a new framework that puts fundamental principles at the core of digital twinning and combines the training of a digital twin with the training of a controlling agent in ways that allow one to learn from the other. The agent learns by trial and error, as in reinforcement learning, while interacting with the system and using the digital twin as a playground. I call this novel framework Reinforcement Twinning (RT). The second objective is to develop RT on lab-scale prototypes of systems at the centre of global challenges. These are the optimal operation of wind turbines, drone propellers, sloshing tanks, and cryogenic liquid storage. Wind turbines drive the fastest-growing renewable energy sector; drones have the potential to revolutionize monitoring, inspection, rescue missions, swift delivery of medical supplies and more. The optimal management of cryogenic tanks, controlling the dynamics of sloshing and the thermodynamics of boil-off, will be essential to the economic viability of green fuels such as liquid hydrogen. This project is "high risk" because it endeavours to establish a new discipline at the intersection of machine learning and energy engineering. It promises "high gains" by aiming to experimentally validate twinning systems that could significantly impact society.

Keywords: digital twins,machine learning reinforcement learning,wind turbines,drone propellers,sloshing,thermal management of cryogenic tanks
Chain expulsions: Syrian refugee returns from Europe and Lebanon (CHAINS) (CHAINS)

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: France,Lebanon,Denmark,Germany
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-09-01
End date: 2029-02-28
Duration (months): 42.0
Total project cost (EUR): 342607.2
EU funding (EUR): 342607.2
Participants: 4
Project status: SIGNED

“Chain expulsions: Syrian refugee returns from Europe and Lebanon (CHAINS)” is an anthropological study of the spatial and temporal dimensions of a legal concept - chain-refoulement. In chain-refoulement, individuals are sequentially forced across multiple countries’ borders without procedural safeguards, exposing them to torture after expulsions and thus violating the non-refoulement principle. Taking this human rights violation as its starting point, CHAINS examines how mobility control practices on flight routes towards the EU come to be entangled in expulsion corridors. While global in nature, chain expulsions are severely under-researched, leaving open questions about actors, consequences and solutions. The dramatic increase of irregular departures of Syrians since Lebanon's economic collapse in 2019 makes the Cyprus-Lebanon-Syria corridor a timely case with relevance for entanglements of mobility control at North/South and South/South borders globally. Research into expulsion corridors breaks new theoretical grounds on mobility control as multiple state and non-state actors interact on emerging scales, imploding territorial assumptions in human rights law. Through mapping and observational interviews and online case studies, the project generates insights into actors and trajectories in expulsion corridors. These empirical insights render visible spatial transformations of state power that result in chain expulsions. Here, CHAINS innovates methods for research impact through the world’s first futures literacy lab with human right practitioners, a participatory research intervention that elicits new pathways for the future.

Keywords: returns,deportations,state,mobility control,lebanon,syria,pushbacks,cyprus,externalisation,human rights,asylum,borders
CSIC Doctoral Network in Synthetic Biology: Engineering Biomolecular and Cellular Systems. (SYNBIO-CSIC)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Spain,Germany,Netherlands,France,United Kingdom,Denmark,Portugal,Italy,Czechia,United States,Austria,Israel,Switzerland
Call: MSCA COFUND 2024 (HORIZON-MSCA-2024-COFUND-01, 2024)
Start date: 2025-10-01
End date: 2030-09-30
Duration (months): 60.0
Total project cost (EUR): 2376000.0
EU funding (EUR): 2376000.0
Participants: 28
Project status: SIGNED

SYNBIO-CSIC (CSIC Doctoral Programme in Synthetic Biology: Engineering Biomolecular and Cellular Systems) is a new, cutting-edge doctoral programme led by the Spanish National Research Council (CSIC) and coordinated through the Margarita Salas Biological Research Centre (CIB-CSIC). It aims to recruit 20 doctoral researchers to provide them with a new dimension of training through highly interdisciplinary & intersectoral research in Synthetic and Engineering Biology under three major thematic areas (bottom-up, top-down, and computational synthetic biology): from fundamental studies to translational solutions in sustainability and health. The programme operates under the principles of Open Science and maintains the highest research quality standards. It represents a stepping stone towards the implementation of a long-term collaborative agreement in the frame of the CSIC Hub for Synthetic Biology through a multidisciplinary and innovative approach. SYNBIO-CSIC includes 50+ options for research projects with prestigious supervisors and the availability of world-class research infrastructures. The recruited fellows will benefit from an outstanding training programme that combines research-oriented and demanding soft skills, including practical hands-on-schools, training in research diversity and scientific & communication skills, and a retreat for personal development. The collaboration with several Associated Partner organizations, including Universities, private companies, and research centres, further enhances the international & intersectoral aspects of the programme. Altogether, SYNBIO-CSIC offers the perfect environment for training doctoral researchers in synthetic biology and related disciplines, thus creating many future opportunities for doctoral fellows and a source of excellent researchers as future leaders in this frontline area.

Keywords: bottom up synthetic cell engineering synthetic biotechnology biosystems engineering computational synthetic biology minimal and synthetic cells metabolic engineering ai and ml tools for synbio