Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
RIVER-SCAPES: Politics of Mobility in Colonial Iberian Waterways (1750-1840) (RIVER-SCAPES)

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: Portugal
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 207183.12
EU funding (EUR): 207183.12
Participants: 1
Project status: TERMINATED

The politics of mobility is one of the EU's primary challenges. The right of its citizens to free movement, the 2015 European migrant crisis in the Mediterranean, and the recent Ukrainian refugee crisis underscore the varied and complex access to mobility—referred to as regimes of mobility—and highlight the intricacies of mobility politics. But how was mobility managed before the advent of the liberal state? What were the mobility regimes in European colonial borderlands? RIVER-SCAPES examines the regimes and politics of mobility in two late-eighteenth-century rivers claimed by the Spanish and Portuguese empires. Considering the long-term impacts of these systems on their landscapes, this project explores the politics of mobility in the Mississippi and Zambezi rivers, focusing on: 1) the diversity of mobility experiences in colonial river regions and the role of power dynamics associated with them; and 2) the processes by which politics of mobility were produced, shaped, and negotiated by various institutions and actors. Through an interdisciplinary approach, which includes history, mobility studies and blue humanities, RIVER-SACPES addresses three pertinent issues for the European agenda: the differentiated experiences of movement, the significance of rivers, and the impact of European colonial heritage on global mobility politics. By historicising the politics of mobility in the Mississippi and Zambezi rivers, this project aims to foster a debate on the connections between the Global North and Global South, mobility, and riverscapes.

Keywords: mobility,rivers,iberian empires,colonial latin american and african history
Chiral Non-stationary Magnonic Auto-oscillator for neuromorphic computing (CNMA)

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: Physics
Countries involved: Germany
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-10-01
End date: 2027-09-30
Duration (months): 24.0
Total project cost (EUR): 202125.12
EU funding (EUR): 202125.12
Participants: 1
Project status: SIGNED

This project aims to advance the field of neuromorphic computing by exploiting novel non-stationary dynamics in spin torque nano-oscillator, called here chiral non-stationary magnonic auto-oscillators. The core innovation lies in the numerical and experimental demonstration of time-modulated electric current (TMEC) stimulation combined with secondary stimuli to induce robust nonlinear excitations capable of sustaining neuromorphic computations. Key features such as short-term memory, echo-state properties and strong non-linear responses are achieved in the GHz frequency range, specifically targeting skyrmion and vortex textures. The project will focus on optimising CNMA for analogue neural networks by exploring time-dependent stimulation, improving energy efficiency and computational speed. A crucial part of the research will be a close collaboration with the renowned group at the University of Kaiserslautern, where I will receive specialised training in advanced experimental techniques for magnetoresistive and spectral analysis. This will be cross validated with micromagnetic simulations, combining the expertise of the fellow and the host group. The success of the project is also guaranteed by international cooperation with renowned research centres providing samples. Towards the end of the project, we will numerically demonstrate the scalability of the CNMA system by coupling multiple CNMAs via spin waves in a ferromagnetic strip, mimicking additional neural connections. This approach promises to significantly increase the computational power of CNMA-based reservoir computing systems. Through this partnership, fellow aim to establish a strong international research network, which will open opportunities for long-term collaborations and enhance my position within the scientific community. This extensive cooperation will also play a crucial role in securing future employment within academic institutions or R&D sectors in industry.

Keywords: beyond cmos technologies,neuromorphic computing,in memory computing,ferromagnetism,spintronics,spin to charge conversion,nano fabrication,condensed matter physics,applied physics
AI-BASED PERSONALISED CARE FOR RESPIRATORY DISEASE USING MULTI-MODAL DATA IN PATIENT STRATIFICATION (AI4LUNGS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Unlocking the full potential of new tools, technologies and digital solutions for a healthy society
Action type: Research and Innovation actions
Countries involved: Portugal,Germany,Israel,Greece,Spain,Cyprus,Belgium,Italy,Netherlands,Norway
Call: Computational models for new patient stratification strategies (HORIZON-HLTH-2022-TOOL-12-two-stage, 2022)
Start date: 2024-01-01
End date: 2027-06-30
Duration (months): 42.0
Total project cost (EUR): 6937771.25
EU funding (EUR): 6937771.25
Participants: 19
Project status: SIGNED

AI4Lungs will develop and validate novel AI-based tools and computational models to improve patient stratification optimising diagnosis and treatment of infectious and non-infectious respiratory diseases. Diagnosis of respiratory disease comprises a complex assessment of several multiple exams over time that together characterise the patient condition. Streamlined into existing clinical pathways, AI4Lungs will support clinicians and other stakeholders in decision making along the patient journey from initial suspicion to diagnosis, and treatment planning. The models incorporate clinical partners’ multiple data sources, registries and open national/international databases, including multiple data types from medical records, imaging data as well as novel data from digital stethoscope and –omics. AI4Lungs stratification strategy will build computational models employing structured and unstructured data modalities, leading to more accurate positioning of patients and enabling them to benefit from global data and knowledge shared during all stages of care, focusing on diagnosis and treatment planning. With scale up, AI4Lungs will support any patient from any country, any hospital no matter how remote or small, by stratifying them among all of Europe’s patients from that cluster, gaining access to the collective expertise, experience and information on optimal care options. In parallel, health systems will reduce costs and effort in unnecessary testing, ineffective treatments and emergency services, optimizing use of health technologies and resources. AI4Lungs patient stratification tools will focus on respiratory diseases, a complex and broad set of disorders with high disease burden. AI and real world data combined with innovative holistic diseases modelling, will offer a solution for allocating resources more efficiently, making best treatment pipelines accessible to more patients while complying with FAIR principles and relevant regulatory and ethical guidelines.

Keywords: artificial intelligence,machine learning,computer vision,natural language processing,precision medicine tools,respiratory disease,covid 19,lung cancer,interstitial disease
Self-Supported Electrodes via Roll-to-Roll Manufacturing Using Non-Critical Materials for GrEen Hydrogen Production (Roll-E)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Spain
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2025-03-01
End date: 2026-08-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Hydrogen is expected to be essential in achieving EU objectives to reduce greenhouse gas emissions. However, while water electrolysis (WE) efficiency can be comparable to fossil fuels, hydrogen produced by WE via renewable or low-carbon energy (green hydrogen) only accounts for 4% of the global hydrogen supply, mainly due to the still-high costs and lower performance of current electrolysers, as a result of the sluggish kinetics and the high overpotentials needed for the oxygen evolution reaction (OER), which remains the bottleneck of this technology. In this regard, the electrodes' capital costs – the core component of the AEMWE electrolyser – can be reduced by developing more performing and stable catalyst layers through advanced manufacturing techniques to meet industry volume demand. In this respect, this project aims to obtain high-performance self-supported electrodes through a ground-breaking wet growth roll-to-roll process. Our value proposition focuses on offering the AEMWE electrolyser manufacturing industry the high-quality of self-supported electrodes that improve electrolyser performance and reliability, together with the ease of industrialisation provided by the well-established roll-to-roll technology, thus avoiding the high temperature and pressure conditions and corrosive environments that are currently necessary for the batch-to-batch synthesis of self-supported electrodes, while reducing costs, allowing AEMWE to reach large-scale applications and accelerate its commercialisation. To achieve this, the project will aim to develop a proof of concept of advanced mass-produced self-supported layered double hydroxide (LDH) electrodes for AEMWE. The performance and stability of these electrodes will be validated in a relevant environment, which is a critical milestone in translating the highly promising results of the research conducted during the ERC-StG awarded to Dr G. Abellán into a marketable innovation.
Clinical development of Rift Valley fever vaccines in endemic regions (RIFTVAX)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Other health destinations
Action type: COFUND actions
Countries involved: Norway
Call: CEPI 3 - Contribution to the Coalition for Epidemics Preparedness Initiative (HORIZON-HLTH-2021-CEPI-10-IBA, 2021)
Start date: 2022-08-01
End date: 2026-07-31
Duration (months): 48.0
Total project cost (EUR): 50000000.0
EU funding (EUR): 35000000.0
Participants: 1
Project status: SIGNED

Initial funding was provided to the Coalition for Epidemic Preparedness Innovations (CEPI) in 2019 which was used to support preclinical and clinical development of Rift Valley fever (RVF) and Chikungunya (Chik) vaccines respectively. This funding was provided to applicants as a joint effort between CEPI and the Horizon 2020 programme, under the CEPI Call for Proposals CfP3i. Whilst previous funding has led to the development of pre-licensure Chik vaccines, development of RVF vaccines is at a much earlier stage. Hence, this current application seeks to leverage a further €35M from Horizon Europe, which will be supplemented with €15M from CEPI, making a pool of €50M, which will be used to fund clinical development of RVF vaccine projects under the CEPI follow-up Call for Proposals CfP3ii. It is envisaged that applicants for the CfP3ii funding will have already developed a manufacturing plan and that all preclinical studies have been completed (with the possible exception of Development and Reproductive Toxicology (DART) studies). Applicants will propose Phase I/II trials in endemic regions for vaccines which are in accordance with the WHO Target Product Profile (https://www.who.int/docs/default-source/blue-print/call-for-comments/tpp-rift-valley-fever-vaccines-draft3-0pc.pdf?sfvrsn=f2f3b314_2) for RVF vaccines. Awards will usually have a 36-month duration and will be administered by the CEPI secretariat.

Keywords: vaccine,rift,clinical
NEurological MEchanismS of Injury, and Sleep-like cellular dynamics (NEMESIS)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Italy,Spain
Call: ERC Synergy Grants (ERC-2022-SYG, 2022)
Start date: 2023-10-01
End date: 2029-09-30
Duration (months): 72.0
Total project cost (EUR): 9927253.75
EU funding (EUR): 9927253.75
Participants: 7
Project status: SIGNED

Focal brain disorders, including stroke, trauma, and epilepsy, are the main causes of disability and loss of productivity in the world, and carry a cumulative cost in Europe of about 500 billion euro/year. Now, physicians diagnose and treat these conditions as if they were caused by local dysfunction due to the pathological process. However, there is growing evidence that, in most neurological and psychiatric disorders, clinical symptoms reflect widespread network abnormalities. Normalization of such network abnormalities through “circuit-based” stimulation would therefore improve function. However, this form of therapy is currently limited by numerous factors: lack of knowledge about the underlying mechanisms and their behavioural relevance; inability to map these abnormalities onto single patients; and, most importantly, a principled understanding of where and how to stimulate the brain to produce functional recovery. ‘NEMESIS’, from Ancient Greek as “give what is due”, aims to “give an injured brain what is missing”, i.e., restore through stimulation normal activity in dysfunctional brain circuitries. By synergizing people, concepts, and technologies, NEMESIS will first characterize the effects of focal injury at multiple spatial and temporal scales (from whole brain to local circuits). Through the combination of observational (e.g., fMRI, EEG, calcium imaging, LFPs) and causal methods (e.g., electro-magnetic stimulation, optogenetics) NEMESIS will test the hypothesis that disconnected networks lie in a “sleep-like state” that impairs communication. Thirdly, NEMESIS will create whole brain models of structure/function to predict the effect of individual lesions and simulate novel stimulation protocols aimed at “re-awakening” the disconnected brain. Finally, proof-of-concept interventions that combine circuit-based stimulation and behavioural training, guided by modelling and animal studies, will be tested to restore normal activity, and so give back what is due.

Keywords: focal injury,brain networks,brain rhythms,sleep,slow wave oscillations,whole brain computational models,brain stimulation,brain connectivity,fmri,eeg,lfp,calcium imaging,tms,7t mri
From PalaeoProteomics to Population Genetics (ProPGen)

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 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-12-01
End date: 2027-11-30
Duration (months): 24.0
Total project cost (EUR): 247553.28
EU funding (EUR): 247553.28
Participants: 1
Project status: SIGNED

The study of ancient biomolecules is a captivating field that allows us to delve directly into the past and unravel the demographic history of human populations and their evolution. Through the study of ancient biomolecules such as proteins and DNA, researchers have unearthed new hominin species and the geographical distribution of humans and their relatives in the distant past. However, the recovery of ancient DNA is often limited by environmental factors that lead to its degradation. In contrast, skeletal proteins have been shown to endure for longer periods than DNA and in a wider range of environmental conditions. This has led to recent breakthroughs in the analysis of ancient proteomes(palaeoproteomics) through protein mass spectrometry methods, enabling us to address phylogenetic questions in human evolution based on ancient protein evidence. Such studies have been largely restricted to phylogenetic hypothesis testing so far. In contrast, ProPGen aims to evaluate the feasibility of population genetic analyses based on palaeoproteomic data. I will use existing human and archaic hominin genome data to create a reference panel of proteome sequence variation among globally distributed human populations and interrogate this dataset to explore whether population genetic analysis with proteomics information reveals known patterns of population genetic relationships. Next, I will leverage this dataset in the context of recent (Mediaeval humans from the Netherlands) and Pleistocene European human proteomes, testing existing hypotheses on the population genetic relationships of the studied individuals. The anticipated outcome is a reference panel of proteomic information from bone and teeth, and the assessment of population genetic analyses using proteomic data. This will enable the assignment of a putative population ancestry to each ancient individual analyzed through their proteome, providing unprecedented insights into their population and demographic history.

Keywords: human evolution,palaeoanthropology,palaeoproteomics,archaeological science
Spin-based quantum memory coupled to superconducting qubits in a Hybrid Quantum Architecture (HyQuArch)

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: Physics
Countries involved: Spain,China
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-11-01
End date: 2025-10-31
Duration (months): 36.0
Total project cost (EUR): 246384.48
EU funding (EUR): 246384.48
Participants: 2
Project status: CLOSED

HyQuArch aims to provide top-level scientific outputs and training in the field of solid-state quantum technologies. Its main goal is to set-up the technical foundations of a Hybrid Quantum Architecture that couples a random-access quantum memory, the spins of nitrogen-vacancy (NV) centres in a diamond crystal, to several superconducting flux qubits acting as quantum processors. Superconducting cavities will turn on and off the communication between these components and perform operation and read-out protocols. The outgoing phase will take place at the USTC in Shanghai, while the return phase will develop at INMA in Zaragoza. First, several strategies will be combined to: a) enhance the ensemble-qubit coupling and b) minimize the environmental noise suffered by NV spins. The former goal will be addressed by fabricating the superconducting circuits onto diamond substrates and by using superconducting lumped element resonators to confine and enhance the microwave magnetic fields that mediate the transfer of quantum information. Longer storage lifetimes, thus higher state transfer fidelities, will be achieved by lowering the NVs concentration. Next, the focus will be on designing and implementing complex microwave pulse sequences to operate the quantum components and to exchange quantum information between them. Attaining these targets will enable storing entangled quantum states of two flux qubits in the quantum memory, a milestone that has remained elusive up to now. The return phase will be centred on the standardization of the technologies developed in Shanghai. Via collaboration with private stakeholders, the use of FPGA integrated circuits will lead to the development of low latency libraries for operating qRAMs. These advances will also enrich other quantum technologies pursued at CSIC. In particular, the final prototype will be applied to introduce a qRAM unit and tuneable couplers to boost the computational power of a quantum processor based on spin qudits.

Keywords: hybrid quantum technologies,circuit quantum electrodynamics,superconducting qubits,spin qubits,quantum memories,nv centres in diamond,molecular spins,superconducting resonators
Tablet Games for Early Detection and Intervention of Developmental Dyscalculia (TaGaDeDys)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Italy
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2024-12-01
End date: 2026-05-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

The ultimate goal of the project is to provide a screening and rehabilitation method for the early detection and treatment of developmental dyscalculia (DD), in the form of an entertaining, tablet-based gaming environment. DD is a common learning disability and severely impacts personal and professional development throughout the lifespan. Early diagnosis and interventions increase the possibilities for people with DD to live an independent and productive life. Children with DD have difficulties to map numbers’ representation into space (in contrast, typically developing children understanding of numerical concepts is facilitated by spatial mapping of numbers). We want to develop a tool which will use a gaming environment to evaluate and stimulate Space Number Association (SNA) in children. Kids will be stimulated with game-like SNA tasks and monitored with more general mathematical skills tasks. We will link the device with an online algorithm for on-line extraction of the responses that can compute and analyse each kid’s performance to track it as it changes over time. This project builds on two behavioural tasks I have established to implicitly assess SNA in children and infants. These paradigms can become a first-stage screening tool for individuals at high-risk for DD. We will further advance this method into a tool that allows easy, rapid and automatic testing of space-to-number processing in young children from any cultural and educational background, and in any context. The paradigms will be embedded in a gaming environment which is optimally engaging for the young users, facilitating the spontaneous participation in foundational numerical training targeted to the needs and specific numerical competences of each child. Moreover, we will further validate relationship between SNA and core numerical competence development, providing initial crucial steps for empirical validation of our method as an early screening tool for DD.