Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Next generation of improved High Temperature Membrane Electrode Assembly for Aviation (NIMPHEA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Public-private partnerships
Destination: Clean Hydrogen
Action type: Research and Innovation actions
Partnership: CLEANH2 (JU-JTI)
Countries involved: France,Greece,Germany,Spain
Call: Development and optimisation of a dedicated Fuel Cells for Aviation: disruptive next-gen high temperature Fuel Cells technology for future aviation (HORIZON-JTI-CLEANH2-2022-1, 2022)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 4942898.5
EU funding (EUR): 4942898.5
Participants: 8
Project status: SIGNED

H2-based fuel cell systems (FCs) are a promising solution to power aircrafts without emitting CO2 or NOx and thus have the potential to strongly reduce aviation emissions and pave the way to climate neutrality. Embedded in aircrafts, FCs can supply non-propulsive and propulsive energy without pollutant emission, reduced noise emission and attractive energy efficiency. The Low Temperature Proton Exchange Membrane (LT-PEM) technology (incl. Membrane Electrode Assembly - MEA) emerging from the automotive industry is of great interest for aviation, but thermal management issues are still be solved. Operated below 100°C, they exhibit attractive power density but are incompatible with aircraft environment due to poor heat rejection. Also, current High Temperature FCs operated around 160°C are not at the expected level of performance for aviation, despite interesting heat rejection performances. The development of a new-generation MEA, working at temperature above 120°C and with performances equivalent to current LT-PEM MEA is the key to unlock FC applications for aviation. NIMPHEA aims at developing - based on the development and/or optimisation of its components: catalyst layer, membrane and gas diffusion layer - a new-generation HT MEA compatible with aircraft environment and requirements, considering a system size of 1.5 MW and contributing to higher level FC targets: a power density of 1.25 W/cm² at nominal operating temperature comprised between 160°C-200°C. MEA components’ upscale synthesis and assembly process will be assessed by identifying process parameters and improved through an iterative process with lab-scale MEA tests. This disruptive MEA technology will be finally validated in a representative scale prototype (165-180 cm²) embodied in a single-cell. Simultaneously, LCA, LCC, eco-efficiency assessment and intrinsic hazard analysis will be performed to validate the MEA development. Finally, a TRL evaluation will be conducted to validate TRL4.

Keywords: high temperature mea,proton exchange membrane fuel cell,catalyst layer,ion pair membrane,gas diffusion layer,validation at trl4,dedicated fuel cell for aviation,disruptive technology
Biomarkers established to stratify sepsis long-term adverse effects to improve patients’ health and quality of life (BEATsep)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Tackling diseases and reducing disease burden
Action type: Research and Innovation actions
Countries involved: Czechia,Ireland,Germany,France,Slovakia,Austria
Call: Relationship between infections and non-communicable diseases (HORIZON-HLTH-2023-DISEASE-03, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 6912872.5
EU funding (EUR): 6912872.0
Participants: 11
Project status: SIGNED

Sepsis is a life-threatening organ dysfunction resulting from dysregulated immune responses to infection, affecting almost 50 million people yearly. Sepsis is a major global health challenge and a leading cause of death worldwide. Moreover, people surviving sepsis often suffer post-sepsis immunosuppression, a long-lasting state of immune dysfunction predisposing them to infections, autoimmune and non-communicable diseases (NCDs), and long-term reduced fitness. The molecular mechanisms driving post-sepsis immunosuppression remain largely elusive. Furthermore, predicting which patients will survive or develop immunosuppression is currently impossible. BEATsep will tackle this challenge by combining the expertise of physicians, clinician scientists and immunologists in top European institutions. We will, for the first time, longitudinally assess unique immunological and clinical parameters and combine them to: i) gain insight into the long-term immunological consequences of septic shock; ii) identify novel markers to identify patients at risk; and iii) unravel molecular mechanisms driving post-sepsis immunosuppression. We will also develop strategies to improve the stratification of acute sepsis survivors to identify patients with a higher risk of sepsis-associated NCDs and comorbidities. BEATsep will have significant societal, scientific, and economic impacts, as efficient prevention of sepsis-induced comorbidities could save significant amounts within healthcare budgets and potentially improve the quality of life for millions worldwide who suffer from the long-term effects of sepsis.

Keywords: inflammation,sepsis,septic shock,health related quality of life
Geographical Indications’ contribution to smart territorial development and sustainability. Insights for GIs producers, policy makers, consumers and local communities. (GI SMART)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Resilient, inclusive, healthy and green rural, coastal and urban communities
Action type: Research and Innovation actions
Countries involved: France,Italy,Spain,Belgium,Switzerland,United Kingdom,Greece,Portugal,Germany,Hungary
Call: Investigating the contribution of geographical indications (GIs) to sustainable development and optimising support for newly established schemes (HORIZON-CL6-2023-COMMUNITIES-01, 2023)
Start date: 2024-06-01
End date: 2028-05-31
Duration (months): 48.0
Total project cost (EUR): 2763394.29
EU funding (EUR): 2554531.7
Participants: 17
Project status: SIGNED

GI SMART (Geographical Indications’ contribution to smart territorial development and sustainability. Insights for GIs producers, policy makers, consumers and local communities) is a four-year lump-sum project to undertake research and demonstration activities (innovative pilot action) and provide evidence-based recommendations to strengthen the contribution of the system of geographical indications (GIs) to sustainable development, in particular to achieve the objectives of the EU Farm to Fork strategy by fostering the implementation of sustainability strategies by producers and their recognition by consumers, as well as to propose a better design of GIs policy to foster their delivery of sustainable agriculture, aquaculture, fisheries, as well as more sustainable food systems. Our 17 partners (15 beneficiaries and 2 Associated Partners) representing 10 countries bring together leading academic, NGOs and stakeholder organisations to provide a multi-actor approach to ensure the project objectives are delivered with maximum impact. This proposal relates to the topic “Investigating the contribution of geographical indications to sustainable development and optimizing support for newly establish schemes” (HORIZON-CL6-2023-COMMUNITIES-01-04). GI SMART aims to assess and strengthen the contribution of GIs to the EU “Farm to Fork” strategy for sustainable food systems in Europe by providing: i) better understanding of the contribution of GIs schemes to sustainable development (including the F2F strategy); ii) improving the perception of sustainability attributes of GIs schemes that are widely implemented by the producers and their perception by consumers, local communities and society at large, iii) better and smart policy design and implementation of GIs policy to foster their delivery of sustainable agriculture and fishery, healthy and sustainable diets and sustainable food systems.

Keywords: geographical indications,eu policy,sustainability assessment,consumers insights,healthy diet
Privacy compliant health data as a service for AI development (PHASE IV AI)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Maintaining an innovative, sustainable and globally competitive health industry
Action type: Research and Innovation actions
Countries involved: Finland,Switzerland,Spain,Belgium,Austria,Italy,Türkiye,United Kingdom,Portugal,Luxembourg
Call: Scaling up multi-party computation, data anonymisation techniques, and synthetic data generation (HORIZON-HLTH-2022-IND-13, 2022)
Start date: 2023-10-01
End date: 2026-09-30
Duration (months): 36.0
Total project cost (EUR): 6640205.75
EU funding (EUR): 6640205.0
Participants: 21
Project status: SIGNED

Artificial intelligence (AI) enables data-driven innovations in health care. AI systems, which process vast amounts of data quickly and in detail, show promise both as a tool for preventive health care and clinical decision-making. However, the distributed storage and limited access to health data form a barrier to innovation, as developing trustworthy AI systems requires large datasets for training and validation. Furthermore, the availability of anonymous datasets would increase the adoption of AI-powered tools by supporting health technology assessments and education. Secure, privacy compliant data utilization is key for unlocking the full potential of AI and data analytics. In this proposal, we will advance the current state-of-the-art data synthesis methods towards a more generalized approach of synthetic data generation. We will also develop metrics for testing and validation, as well as protocols that enable synthetic data generation without access to real-world data (through multi-party computation). We aim to provide: 1) Improved methods and technical pipelines for privacy-preserving data synthesis including different data formats such as EHRs and medical images, 2) Easy to use and configurable data services to enable AI developers’ access to larger pools of decentralized de-identified data through multi-party computing, 3) Provide anonymous data on demand or from a (temporary) repository, 4) Establish a Data Market – facilitating data sharing and monetization incl. incentives-based provision of data to the services, 5) Integrate the data market and the data service ecosystem as a X-European health data hub in the European Health Data Space, and 6) Validate the results with real-world use-cases focusing on high impact diseases, cancer types in particular.

Keywords: machine learning,data analytics,data protection,synthetic data,anonymisation,multi party computation
BRinging hEAlTH and social sciences to a new level through an interdisciplinary doctoral programme (BREATH)

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: France,Italy,Canada,Germany,Switzerland,Spain,Poland,Belgium
Call: MSCA COFUND 2023 (HORIZON-MSCA-2023-COFUND-01, 2023)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 2016000.0
EU funding (EUR): 2016000.0
Participants: 28
Project status: SIGNED

It is widely recognised that non-medical determinants of health play a major role in health. Many of these determinants fall within the scope of Social Sciences and Humanities (SSH). World Health Organisation estimates that Social determinants of health (housing and working conditions, social inequalities, education, etc.) account for between 30-55% of health outcomes. Today, there are urgent needs of profiles capable of understanding the issues in their entirety rather than through a strictly health or social point of view. BREATH program will fill that gap by training excellent researchers. BREATH aims to be the next interdisciplinary Doctoral Program in Health and SSH, offering 20 doctoral positions for 3 years each at one of the 3 Pays-de-la-Loire Universities in France, led by distinguished supervisors. Through an open and merit-based recruitment procedure, it will provide excellent opportunities for international, intersectoral and interdisciplinary research and training under attractive working conditions. BREATH is coordinated by the University of Angers, with the Universities of Nantes and Le Mans as implementing partners. The 3 public universities have long-standing habits of strong collaboration in doctoral studies, already managed jointly by the Doctoral College, with 83 research groups including 49 in Health and SSH. BREATH will also rely on a 27 associated partners network that will strongly enhance the opportunities of the Doctoral Candidates (DCs). DCs will come closer to the private sector by collaborating with medical and healthcare organisations during secondments or special events. Beyond training through their own research, they will benefit from training courses in research techniques, complementary workshops for transferable skills, scientific meetings and conferences and the access to international scientific networks, with the final aim to promote knowledge exchange and mobility among academic and non academic partners.

Keywords: social determinants social sciences health doctoral training multidisciplinary
Investigation of biological seal whiskers to create artificial whisker sensors for underwater robots (SEALSENSE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 1469913.75
EU funding (EUR): 1469913.75
Participants: 1
Project status: SIGNED

Marine animals employ diverse and fascinating flow sensing phenomena by exploiting the ambient complex fluid mechanics to track prey and escape from predators. Seals are known for their remarkable long-distance prey-hunting capabilities owing to their whiskers which serve as ultrasensitive flow sensors. For e.g., a seal is able to detect a fish swimming 180m away by following its vortex streets. While the unprecedented tracking abilities of seals and the role played by seal whiskers in reducing vortex-induced vibrations have been conclusively demonstrated in past, the fundamental mechanisms behind such pinpoint tracking remain unclear. The geometrically intricate shape of the seal?s whiskers is believed to maximize their signal-to-noise ratio to generate high sensitivity to the tiniest hydrodynamic trails. In this project, we propose investigations of the seal whisker behaviour, both in live seals and in controlled lab experiments, to shed new light on the fundamental mechanisms that enable the seal to display its excellent prey-tracking behaviour. In particular, how the seal effectively utilizes the spatial distribution of the whisker array on its muzzle to conduct multipoint flow measurements to track and locate its prey is unknown and of great significance. We propose to study the morphological, mechanical, and material properties of whiskers to explain the exquisite sensing capabilities of seals, and further use this understanding to develop biomimetic flow sensors for underwater robot navigation. Miniaturized and self-powered, micro/nano electromechanical systems (MEMS/NEMS) strain and flow sensors will be developed for experimental animal studies, and to develop artificial 3D printed MEMS whisker sensors and muzzles for experimental fluid-structure interaction studies. An artificial seal muzzle with mechanosensory MEMS whiskers will be applied on underwater robots to create artificial vision and energy-efficient maneuvering through fish-like schooling.

Keywords: bio inspired sensors,micro nano electromechanical systems mems nems
Stone monument ensambles and the climate change impact (STECCI)

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 the European Cultural Heritage and the Cultural and Creative Industries
Action type: Research and Innovation actions
Countries involved: Bosnia and Herzegovina,Montenegro,Austria,Germany,Croatia,Serbia,France,Malta
Call: Effects of climate change and natural hazards on cultural heritage and remediation (HORIZON-CL2-2022-HERITAGE-01, 2022)
Start date: 2023-09-01
End date: 2027-08-31
Duration (months): 48.0
Total project cost (EUR): 3372687.5
EU funding (EUR): 3372687.5
Participants: 9
Project status: SIGNED

Given the fast pace of climate change there is an urgent need to address the threats it poses on cultural heritage (CH) by a holistic framework that will engage scientists, conservators, citizens, creative industries and decision-makers to develop and act on new, sustainable strategies of long-term preservation of CH, as proposed by this project. For the first time, the future of stećci - a tangible phenomenon included on the UNESCO World Heritage list, and similar limestone monuments will be assessed under 2 high resolution climate scenarios in three periods: 2021-2040, 2041-2060 and 2081-2100. In situ condition assessment supported by comprehensive scientific analyses will be followed by remedial conservation on selected sites to develop best practice and to produce efficient monitoring and conservation guidelines coupled to economic analyses and climate scenarios. Such an output will accentuate the need of timely and appropriate interventions and facilitate the decision-making process of authorities. Digitization methodologies will be also explored. Basic and high-end techniques will be mutually compared in order to simplify and amplify the digital recording of cultural heritage in Europe. Further on, the project aims to turn the potential of necropoles into new opportunities and resources for socio-economic and creative entrepreneurship developments of local communities. Work on valorization of cultural heritage and social labs with a series on events on citizen science, story telling and place-making activities will precede the development of sustainable cultural tourism strategies that can be implemented across Europe. Art, tools of creative industries and cultural values will thus be used as powerful engines of regeneration, economic growth and sustainable protection of CH in times of a rapidly changing climate. The project will also illustrate a successful collaboration of previously conflicted countries and thus aim to reduce radicalism in Western Balkans.

Keywords: cultural heritage,tombstones,climate scenarios,preservation guidelines,social innovation,smart cultural management,citizen science,digitisation,cultural tourism,sustainability
Capturing the evolution of a transformative cognitive capacity: the case of vocal learning in dogs (K9VocLearn)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: Hungary
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-06-01
End date: 2029-05-31
Duration (months): 60.0
Total project cost (EUR): 2573296.25
EU funding (EUR): 2573296.0
Participants: 1
Project status: SIGNED

Modifying the vocal repertoire using an external auditory model is a prerequisite for speech production. But how full-fledged vocal learning evolved in humans, uniquely among primates, is still unclear. Integrating recent evidence from ethology and genetics, I hypothesize that selection for tameness, alloparental behavior and cooperativity in concert were the key driving processes for the emergence of human vocal learning and speech. I propose that dogs constitute an ideal model to test this hypothesis as they underwent a strong selection for tameness and cooperativity with, and often alloparented by humans; at the same time, their vocal behavior markedly changed compared to their closest relatives, the wolves. Dogs have control over their vocalizations, suggesting the presence of some primordial forms of vocal learning abilities. Combining bioacoustics, ethology, genetics, and brain imaging, K9VocLearn thus sets out to reveal the mechanisms underlying the emergence of vocal learning capacities in dogs. Specifically, I test how genetic similarity with wolves, particular gene variations of breeds, extreme domestication-syndrome phenotype, and individual cooperativity affect abilities and neural processes involved in vocal learning. WP1 utilizes citizen science, bioacoustics and machine learning approaches to develop a comprehensive catalogue of dogs’ vocal repertoire. WP2 seeks evidence of vocal usage and vocal production learning, including vocal imitative abilities in dogs, while also testing neural and vocal control mechanisms involved. WP3 tests dogs’ vocal coordination abilities in con- and heterospecific interactions both on the behavioral and the neural level. In early intervention experiments, WP4 longitudinally examines vocal ontogeny and the role of the acoustic environment in vocal flexibility. Breaking ground on capturing the emergence of vocal learning in a cooperative domestic species, K9VocLearn will provide new insights into human language evolution.

Keywords: vocal learning language evolution domestication cooperativity bioacoustics dog behavior vocal communication vocal development functional magnetic resonance imaging event related potentials optical imaging sound recording