Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Agile and Cognitive Cloud edge Continuum management (AC3)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: World-leading Data and Computing Technologies
Action type: Research and Innovation actions
Countries involved: Greece,France,Ireland,Cyprus,Finland,Spain,Germany,Israel,Sweden
Call: Cognitive Cloud: AI-enabled computing continuum from Cloud to Edge (RIA) (HORIZON-CL4-2022-DATA-01, 2022)
Start date: 2023-01-01
End date: 2026-06-30
Duration (months): 42.0
Total project cost (EUR): 5975500.0
EU funding (EUR): 5975000.0
Participants: 19
Project status: SIGNED

The ever-growing resource needs of modern-day applications regarding guaranteed low latency and the massive data transfer rate are constantly pushing the boundaries of technologies and requiring a paradigm shift. To cater for these escalating resource needs, modern IT computing platforms have evolved beyond the more traditional central cloud/DC with bleeding-edge processing powers and high-capacity networking infrastructure to extend their coverage all the way to the network edge, which may also include the far-edge nowadays. This creates a new paradigm called cloud edge computing continuum (CECC), whereby the services span from core cloud to edge and far edge. To efficiently manage and continuously optimize resources through this new model using the CECC approach, we propose an Agile and Cognitive Cloud-edge Continuum (AC3) management framework. This framework will play a critical role in providing scalability, agility, effectiveness, and dynamicity in service delivery over the CECC infrastructure. AC3 will offer a common and secure federated platform that manages data source, CECC resources, and application behaviour in a unified and harmonized manner to ensure the desired SLA and save energy consumption. Moreover, the AC3 platform can adapt to a different context and events happening in the network, such as lack of resources, data deluge, or mobility of data source, by managing (i.e., deploying or migrating) micro-services across CECC infrastructures. AC3 will leverage AI, ML, and semantic and context awareness algorithms to provide an efficient life cycle management system of services, data sources, and CECC resources for ensuring low response time and high data rate while saving energy consumption.

Keywords: cloud edge computing continuum,data management,iot,ai ml xai,cloud native applications,green management
AI-enhanced collective intelligence for resilient, ethical and user-centric awareness and decision making in CCAM applications (AIGGREGATE)

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
Partnership: CCAM (co-programmed)
Countries involved: Netherlands,Spain,Belgium,United Kingdom,Germany,Greece,France,Romania
Call: AI for advanced and collective perception and decision making for CCAM applications (CCAM Partnership) (HORIZON-CL5-2024-D6-01, 2024)
Start date: 2025-05-01
End date: 2028-04-30
Duration (months): 36.0
Total project cost (EUR): 5000642.5
EU funding (EUR): 4999853.75
Participants: 14
Project status: SIGNED

AIGGREGATE addresses the critical challenges of automated driving by enhancing safety, resilience, and human-like control in CCAM (Connected, Cooperative, and Automated Mobility) systems. While AI has advanced many driving functions, complete automation still faces significant hurdles, particularly in complex and dynamic traffic scenarios. AIGGREGATE will bridge these gaps by developing an integrated solution for the entire action chain for collective decision-making, using hybrid intelligence and human-like control. By integrating external data from vehicles, infrastructure, and other sources (V2X), the project will create a resilient collective situational awareness that goes beyond mere perception, and will include a comprehension and understanding of the traffic environment. This enhanced awareness will feed into algorithms for predicting the behaviour of road users (including the driver and VRUs) and collective decision-making. Combined, these solutions allow automated systems to anticipate and adapt to the actions of other road users, even in complex urban traffic. The user-centric design and ethical framework will ensure a human-like control which increases the acceptance. The project will develop new functionalities for automated driving, focusing on complex, real-life scenarios that require the integration of external data. This approach marks a shift from traditional systems reliant on onboard sensors only towards collective perception and decision-making. The project includes a development platform for the integration of software and physical demonstrations. The project partners include the Eindhoven University of Technology as the coordinator, along with Vicomtech, TNO, KU Leuven, University of Warwick, RWTH Aachen, IDIADA and CERTH as research partners, Infineon, Valeo France and Germany, Continental and MAPTM as industrial partners, and PAVE to support the dissemination.

Keywords: ccam,automated driving,hybrid intelligence,artificial intelligence,perception
PRedicting Falls and Freezing Episodes in Parkinson Disease (PRO-FF-ESY)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Germany
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Parkinson's Disease affects 10 million globally, leading to severe motor and non-motor symptoms. One of the most concerning symptoms for PD patients is the loss of balance and falls, which currently lack predictive solutions. Patients live in fear of falling, which significantly impacts their quality of life and independence. The economic burden of fall-related injuries in PD is substantial, with costs in Germany alone potentially exceeding 1.6 billion euros annually. Portabiles answers to this need with PreDictor, an innovative fall and freeze of gait prediction system built on top of a comprehensive longitudinal and multidimensional gait analysis dataset. PreDictor leverages advanced wearable inertial sensor hardware and AI models to predict and timely notify patients of potential freeze/fall events, allowing them to take safety measures. The system is currently at TRL 6 and Portabiles aims to improve the AI models to achieve 80% accuracy for fall prediction within the next hour in a clinical validation study. This disruptive solution is unparalleled in the market and benefits patients, caregivers, and healthcare systems. By preventing falls and reducing the need for surveillance and hospitalization, PreDictor can alleviate the physical, emotional, and financial consequences of falls. Our innovation breakthrough potential lies in its ability to predict falls with unprecedented accuracy in a timely manner, empowering patients to live without the constant fear of falling.

Keywords: parkinson disease,predictive analysis,falls and freezes of gait,artificial intelligence
Controlling autophagy in the intestine to rejuvenate. (AutoGut)

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: France
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-06-01
End date: 2026-05-31
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 1
Project status: SIGNED

Human life expectancy is continuously increasing worldwide. However, longer lives must be accompanied by the increased health of older people. Therefore, the scientific community has set a goal to understand the causes of aging and how to revert them, aiming not only at living longer but living healthier. With this proposal, using telomerase mutant zebrafish as a prematurely aging model, I aim to determine the interdependency between autophagy and aging. In particular, I will determine if modulation of autophagy can revert the causes of aging and improve organism’s health span. Knowing that the intestine is one of the first organs that deteriorate during adulthood, I will alter autophagy specifically in the intestine to revert inflammatory and behavioral phenotypes of aged fish. Moreover, I will study specific diet-microbiome associations in the intestine that might affect intestinal integrity, autophagy, and organism aging. The outcome of this research will create high-quality new knowledge on the relationship between gut autophagy and individual aging and will provide guidelines for the development of new anti-aging approaches.

Keywords: autophagy,intestine,telomerase,zebrafish,aging,physiology
Spectroscopic Profiling of Electronic Resonances in Strongly Correlated Systems via MR-ADC (CAP-MR-ADC)

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: Poland,Belgium
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): 179006.16
EU funding (EUR): 179006.16
Participants: 2
Project status: SIGNED

Electronic resonances are ubiquitous in electron-molecule scattering, appearing as metastable continuum states that underpin key physical and chemical processes like autoionization, Auger decay, and Interatomic Coulombic Decay (ICD). Unlike bound states, these resonances exist within the continuum and eventually decay, posing a significant challenge for traditional Hermitian quantum mechanics, which cannot directly map resonances to discrete states. To address this, non-Hermitian quantum mechanics offers a framework that allows the quasi-bound nature of resonances to be analyzed through bound-state methods. While one-electron decay processes are relatively well described by single reference methods, two-electron decay mechanisms, including Auger decay and ICD, are significantly more complex due to their dependence on multielectronic configurations, requiring advanced treatment of electron correlation. As a result, multi-reference methodss offer a more robust framework for capturing these decay processes. This project aims to develop an innovative, computationally efficient method based on multireference theory to study electronic resonances in strongly correlated systems. To achieve this, I will integrate the recently developed multireference algebraic diagrammatic construction (MR-ADC) theory with non-Hermitian quantum mechanics. Collaboration with experts across molecular resonances, spectroscopy, quantum dynamics, and quantum chemistry will ensure cross-disciplinary knowledge transfer, advancing our understanding of electronic resonances and their broader applications.

Keywords: resonance,electron molecule scattering,non hermitian quantum mechanics,multireference algebraic diagrammatic construction mr adc theory,electronic structure,spectroscopic property
A multi-arm, multi-stage trial for cutaneous leishmaniasis - MAMS4CL (MAMS4CL)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Public-private partnerships
Destination: Global Health EDCTP3
Action type: Research and Innovation actions
Partnership: EDCTP3 (JU-JTI)
Countries involved: United Kingdom,Belgium,Ethiopia,South Africa,Sweden
Call: Accelerating development and integration of therapeutics against Neglected Tropical Diseases (NTDs) in sub-Saharan Africa (HORIZON-JU-GH-EDCTP3-2024-01-two-stage, 2024)
Start date: 2025-08-01
End date: 2029-07-31
Duration (months): 48.0
Total project cost (EUR): 5499999.25
EU funding (EUR): 5499999.25
Participants: 7
Project status: SIGNED

Cutaneous leishmaniasis (CL) is a neglected tropical disease affecting more than one million people globally each year. In Ethiopia alone more than 40,000 people are thought to be affected annually. Infection results in stigmatising, visible, chronic, scarring skin lesions which cause permanent morbidity and significantly affect mental health, household financial stability and life chances. There is a major need for new therapeutics for CL. The current first line therapy is intramuscular sodium stibogluconate. Treatment is often ineffective, painful, and associated with adverse effects. The complexities of administration mean treatment is restricted to a small number of centralised facilities. As a result the majority of patients receive no treatment. There are a number of promising alternative and novel therapeutics for cutaneous leishmaniasis which may be more effective, more tolerable and more suitable for widespread scale up. However the evidence for these therapies is lacking and this vacuum means that policy cannot be easily changed. Our consortium of leading European and African research institutions proposes a step-change in the evidence base for CL. We will use a multi-arm, multi-stage randomised trial – MAMS4CL - to simultaneously evaluate multiple novel therapeutic interventions. This approach will reduce the time required to identify optimal treatment strategies for CL and transform the therapeutic landscape. We will identify and test five candidate interventions and assess their safety, efficacy, cost-effectiveness, and acceptability. The interventions have been selected as they offer: more tolerable administration, shorter treatment duration or home-based therapy. We will embed within MAMS4CL detailed pharmacokinetic, health economic and social science studies to provide a comprehensive analysis to inform regulators, policy makers and programmes.

Keywords: cutaneous leishmaniasis treatment randomised controlled trial muti arm multi stage
Advancing Bayesian Methods for Typo-Chronologically Dated Archaeological Datasets (BTChron)

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: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-01-15
End date: 2028-01-14
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SIGNED

BTChron aims to advance chronological methods in archaeology by developing innovative Bayesian approaches to the analysis of typo-chronologically dated datasets, where temporal attributes are typically reported as time spans. Failure to formally integrate these time spans into statistical analyses can potentially lead to biases in interpretation. The proposed research addresses the critical limitations of current methods, which are inadequate for dealing with chronological uncertainty. Applicable to any temporal analysis of large archaeological datasets, the proposal will make a substantial contribution to the field of quantitative archaeology by providing robust statistical tools for chronological analysis, ensuring the integration of legacy data into new, scientifically rigorous frameworks. The proposal is interdisciplinary, combining data science approaches with archaeological/historical methods and zooarchaeology. BTChron will select open access datasets to model temporal changes in three metrics commonly used in zooarchaeological analysis: LSI (Log-Size-Index), NISP (Number of Identified Specimens) and age-at-death. By focusing on faunal assemblages from Western Europe during the Roman period, BTChron will also provide a more accurate understanding of agricultural changes driven by Romanisation. The results will improve archaeological interpretations and contribute to open science through reproducible methods and accessible data. The proposed research will be conducted at the McDonald Institute for Archaeological Research in Cambridge under the supervision of Dr Enrico Crema, a leading expert in applications of Bayesian approaches to archaeological data problems. This fellowship will allow the Researcher to develop their expertise in data science approaches, which is essential for their future ambitions in the field of quantitative archaeology.

Keywords: quantitative archaeology bayesian methods chronological modelling gallia narbonensis roman italy roman britain western europe roman agriculture
Efficient odour representations in the olfactory bulb: Flexible lateral interactions synchronize co-active columns (COLUMNET)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing , nervous system  function and dysfunction , systems neuroscience  and modelling , biological basis of cognitive processes and of behaviour, neurological and mental disorders – In humans and all other organisms
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-10-01
End date: 2031-09-30
Duration (months): 60.0
Total project cost (EUR): 3453563.0
EU funding (EUR): 3453563.0
Participants: 1
Project status: SIGNED

How is the percept of a smell generated from the fractionated representation of odours at the periphery where olfactory receptor channels detect structural elements of odour molecules? While this problem seems akin to the detection of a “Gestalt”/object by the visual system using its contours, there is a fundamental difference between olfaction and vision due to the discontinuous, non-topographical nature of odour representation. Recently my group has discovered intriguing subcellular mechanisms of the neuronal microcircuits prevalent in the olfactory bulb that may enable flexible and energy-efficient non-topographical odour representation. These microcircuits connect distant olfactory receptor channel columns with each other and operate in a previously unknown activity-dependent manner. Here we aim to translate these findings from the synaptic to the systemic level, and test our hypotheses regarding the synchronization mechanism of co-active receptor channel columns in the gamma regime which will then allow the combinatorial synthesis of the odour percept in the olfactory cortex. By combining olfactory stimulation of our semi-intact nose-brain preparation with state-of-the-art imaging techniques with unprecedented large-scale spatio-temporal resolution (3D two-photon imaging of voltage-sensitive dyes), we will study the interaction between the neuronal ensembles belonging to columnar channels. This system-level understanding will be complemented by in-depth investigation of activity-dependent output of individual synapses in acute brain slices. Next, we will test whether columnar activity upon odour stimulation is amplified by a local mechanism recently discovered by our lab that links blood vessel pulsations to oscillatory neural activity. Finally, we will integrate our results into a realistic computational network model of the olfactory bulb. COLUMNET will significantly advance our understanding of olfactory perception.

Keywords: olfaction,neural network oscillation,olfactory coding,columnar processing,vasculoneuronal coupling
Analysis of Transferrin Conformational changes that Impact Virulence and Evolution (ATRACTIVE)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Greece
Call: Fostering balanced brain circulation – ERA Fellowships (HORIZON-WIDERA-2022-TALENTS-02, 2022)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 153486.72
EU funding (EUR): 153486.72
Participants: 1
Project status: CLOSED

Structural dynamics define the transition from one protein state to another and are modulated by interactions with partners-ligands and/or chemical modifications. They are important to control protein biological activity, govern protein evolution and their alteration can lead to diseases or death. The long-term objective of ATRACTIVE is to understand protein structural dynamics, their regulation and how such dynamics diversify a conserved structural core to evolve in computing distinct functions. For this, we will focus on human serum transferrin (hTF), which shares an ancient and conserved bilobed structural core composed of two domains from the type-II periplasmic binding protein domain family. This core is fundamental for maintaining iron-homeostasis in human cells conferring nutritional immunity. The same core is harbored by proteins ubiquitous throughout the tree of life that diversified yielding transcription factors, enzymes or transport related/signaling proteins. Bacterial pathogens to acquire iron from available sources, have evolved membrane receptors for capturing iron-loaded-hTF, transferrin binding proteins A and B (TbpA/TbpB). This interaction is essential for the pathogenicity of many critical human pathogens, such as Neisseria sp (gonorrhoeae, meningitidis). Our aim is to investigate the structural dynamics modulated by iron binding and release and how such are affected by the receptors in the presence or absence of drugs, following a three-pronged approach: a) Determine the structural dynamics of hTF upon iron binding in the two bilobed structures and uncover the allostery between them, b) Map the structural changes triggered by hTF-TbpA-TbpB interactions that underlie the iron release mechanism, c) Identify drugs that compromise the hTF-TbpA interaction. To do so, cutting-edge multi-disciplinary tools will be adopted: a. smFRET, b. HDX-MS, c. Molecular-dynamic simulations, d. In vitro binding assays and ITC.

Keywords: structural dynamics,smfret,hdx ms,protein evolution and function,bilobed structural core,human serum transferrin,iron homeostasis