Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Satellite imaging swarms with distributed onboard intelligence (IntelliSwarm)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Systems and Communication Engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Italy
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): 3008550.0
EU funding (EUR): 3008550.0
Participants: 1
Project status: SIGNED

Space-based monitoring systems for Earth observation are being increasingly employed by industry and governments, and large constellations having tens to hundreds of units will be deployed in the near future. This project considers swarms of satellites in formation flight, and it investigates innovative cooperation modalities to enhance image quality and enable satellite distributed onboard inference. Through artificial intelligence (AI), multiple simultaneous and redundant satellite image acquisitions from different viewing angles will be cooperatively combined into scene representations having significantly higher spatial and spectral resolution and augmented with surface profile information, enabling imaging beyond the diffraction limit by using very high-resolution training sets. These representations will be computed onboard the satellites in a distributed fashion and will be used for inference and image reconstruction; they will allow to increase quality, availability and timeliness of the data and to optimize the usage of inter-satellite and satellite-to-ground communication links. Enabling this cooperation requires major scientific advances; the project will generate new knowledge via innovative scene models allowing spatial/spectral resolution enhancement and 3D augmentation, innovative AI-based compression techniques, novel distributed inference methodologies for AI, as well as a new generation of fast and energy-efficient AI models powering distributed onboard computing. This ambitious research will become the cornerstone of next-generation satellite imaging and inference systems, increasing scientific and economic value for the users and allowing public and private entities to exploit advanced image products and analytics that can benefit the economy and the society. The developed methods will also be relevant to several other types of embedded systems, further extending the project impact to areas such as sensor networks and Internet of Things.

Keywords: satellite imaging inverse problems distributed inference ai for embedded systems
A multiplexed biomimetic imaging platform for assessing single cell plasticity (Plastomics) and scoring of tumour malignancy (PLAST_CELL)

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: Spain,Germany,France,Austria
Call: EIC Pathfinder Open 2021 (HORIZON-EIC-2021-PATHFINDEROPEN-01, 2021)
Start date: 2022-05-01
End date: 2026-10-31
Duration (months): 54.0
Total project cost (EUR): 2982792.0
EU funding (EUR): 2982792.0
Participants: 6
Project status: SIGNED

Metastasis is the major cause of death in cancer patients due to cancer cell dissemination to distant organs. Cell plasticity is a core characteristic of metastatic cells and confers cellular adaptation capabilities to variable mechano-chemical tissue microenvironments. However, to date, specific quantitative measures of cancer cell plasticity associated with tumour aggressiveness and therapy resistance have remained difficult to establish. A major limitation is the availability of highthroughput multiplexed assays that can capture phenotypic heterogeneity and morphodynamic plasticity at the single cell level in standardized 3D culture conditions reflecting in vivo tissue microenvironments. The PLAST_CELL interdisciplinary consortium will pioneer the development of a microfluidics-based imaging platform to categorize and score cancer cell plasticity within diverse physiologically relevant 3D biomimetic culture conditions. The platform will enable to perform single cell multi-scale morphometric and molecular live cell data collection (PLAST_DATA) with minimal sample size (<10k cells). Data will be generated based on single molecule-sensitivity marker detection and cellular/subcellular morphodynamic feature recognition via minimal-invasive long-term super-resolution microscopy and parallel morphodynamic imaging of cellular behaviour. Computational integration of PLAST_DATA using preclinical models and patient samples will enable to develop a quantitative classification of tumour cell plasticity and predictive scoring of cancer aggressiveness, metastasis and drug resistance (PLAST_SCORE). The ability to assess cell plasticity based on cellular behaviours is beyond current clinical parameters and will strongly impact diagnosis, prognosis and treatments. The PLAST_CELL platform will be a technology breakthrough to establish new quantitative standards to evaluate cell plasticity and mechanisms of tumour malignancy for a new era of basic research and personalized medicine.

Keywords: cell plasticity,cancer stem cells,tumor heterogeneity,cellular morphodynamics,cytoskeleton,biomimetic cultures,microfluidics,single molecule imaging,structured illumination microscopy
The cerebellum: a transdiagnostic personalised target for neuromodulation in psychiatry (CLOVIS)

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: France
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-09-01
End date: 2031-08-31
Duration (months): 60.0
Total project cost (EUR): 1499500.0
EU funding (EUR): 1499500.0
Participants: 2
Project status: SIGNED

Have you ever had that moment where you reach for something, convinced it is heavy, but it is actually light? Your arm jolts upward, correcting itself before you realise the difference. This split second adjustment is thanks to your cerebellum, the part of your brain responsible for fine-tuning movements by integrating sensory feedback. While the cerebellum is traditionally associated with motor control, it plays a similar role in cognitive functions. Despite occupying 10% of the brain’s volume, the cerebellum houses more than 50% of its neurons, many of which are integral to higher cognitive processes. Its extensive connections with brain regions responsible for complex thought and emotion make it a promising target for non-invasive brain stimulation (NIBS) especially in addressing the resistant cognitive and negative symptoms observed in psychiatric disorders such as schizophrenia, bipolar disorder, and autism. However, a significant challenge persists: clinical research on NIBS often relies on a trial-and-error approach, while fundamental research has yet to fully translate electrophysiological findings into circuit-level applications that can guide clinical interventions. To bridge this gap, I will develop normative models from large-scale MRI cohorts to identify patients who are most likely to benefit from cerebellar stimulation and then derive a personalised cerebellar target. Concurrently, animal studies using ultra-high field MRI will be conducted to determine optimal cerebellar stimulation parameters. With intracranial recordings, I will explore the neuroplastic changes induced by NIBS in humans. The project will culminate in a proof-of-concept clinical trial aiming at improving cognitive and negative symptoms across schizophrenia, bipolar disorder and autism with cerebellar NIBS. This multidisciplinary project has the potential to revolutionize the treatment of resistant psychiatric symptoms and catalyse advancements in the understanding of NIBS.

Keywords: cerebellum mri non invasive brain stimulation psychiatry schizophrenia negative symptoms transcranial magnetic stimulation
Mechanobiology of cancer progression (BEACONSANDEGG)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: Italy
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 2498690.0
EU funding (EUR): 2498690.0
Participants: 1
Project status: SIGNED

Invasive cancers are a leading cause of death worldwide, with almost ten million deaths per year caused by resistance to antitumor treatments. In breast cancer, aggressiveness correlates with fibrotic stiffening of the tumour. There is an urgent need to understand how the fibrotic microenvironment evolves, to design better targeted cancer therapies. Fibrotic stiffening is caused by fibroblasts secretion of a matrix with mechanical properties that stabilise the tumour vascular network. However, the hierarchy and stability of the tumour vascular network are not reproducible in vitro. To advance the field, I will develop a revolutionary platform able to recapitulate tumour fibrosis by exploiting the vascularisation of a living organism. To achieve my goal, I will use human breast cancer cells adhering to 3D polymeric micro scaffolds to create arrays of tumour micro environments. I will implant the arrays in vivo in the chorioallantoic membrane of an embryonated avian egg, to elicit a foreign-body fibrotic reaction. I will vary the micro scaffolds geometry to condition tumour infiltration by the host’s vessels and cells. I will exploit fluorescent spatial beacons incorporated in the micro scaffolds for multiphoton image correlation, to derive morphological and functional information of the regenerated fibrous matrix and vessels. I will predict mass transport of solutes and anticancer agents by computational modelling. To validate the platform, I will quantify in vivo the dose-dependent efficacy and cancer specificity of therapeutic agents whose success is known to depend on the fibrotic stage of tumours. This project combines mechanobiology to bioengineering, biomechanics, oncology, genetics, microtechnology, intravital imaging, biophysics and pharmacology to understand the progression mechanisms of the most incurable cancers. It will also provide an ethical and standardizable testing platform to boost the clinical translation of new therapeutic products in oncology.

Keywords: mechanobiology,bioengineering,model,breast cancer,fibrosis,matrix stiffening,mass transport,microfabrication
Photonic and electronic integrated circuits for next-generation LiDAR technologies (NiteLiDAR)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Denmark,Netherlands,Belgium,France,Germany
Call: MSCA Doctoral Networks 2022 (HORIZON-MSCA-2022-DN-01, 2022)
Start date: 2023-09-01
End date: 2027-08-31
Duration (months): 48.0
Total project cost (EUR): 2920183.2
EU funding (EUR): 2799028.8
Participants: 10
Project status: SIGNED

LiDAR – or Light Detection and Ranging – technology is popping up everywhere. Industry experts are predicting an ever-greater enabling role for LiDAR in everything from advanced driving support systems to autonomous driving, to autonomous mobility applications, to gas sensing, etc. The demand for the technology is at an all-time high, and it is expected to experience a steadily accelerating adoption across markets. NiteLiDAR will break new ground in LiDAR technology by allowing higher levels of integration including optical phased array based solid-state beam steering and on-chip frequency-modulated continuous-wave based ranging, thus moving away from mechanical components, which will bring down the cost of LiDAR. To achieve this, NiteLiDAR will leverage on beyond-state-of-the-art knowledge being generated around photonic integrated circuits (PIC) and electronic integrated circuits (EIC), while addressing current gaps, and tackling the paucity of knowledge around the largely underexploited LiDAR-on-a-chip technology. NiteLiDAR, therefore, creates a platform solution vouching for the European leadership in next-generation LiDAR technologies. The mission of NiteLiDAR is to train 10 Doctoral Candidates (DCs) with out-of-the-box thinking and an entrepreneurial mindset in the field of LiDAR technologies as a specific expertise, and photonic and electronic integration (i.e., semiconductor) skills and expertise in a broader perspective, which are KEY for the implementation of the EU Chips Act, and - wider - for the European semiconductor autonomy.

Keywords: lidar,optical phased array,electronic integrated circuits
InClusive valorIsation model foR Controversial cultural hEritage in the Mediterranean Harbours and beyond (CIRCE)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy,Spain,Croatia,Tunisia,Kenya
Call: MSCA Staff Exchanges 2024 (HORIZON-MSCA-2024-SE-01, 2024)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 928281.43
EU funding (EUR): 846690.0
Participants: 10
Project status: SIGNED

In today’s multicultural societies, Controversial Cultural Heritage (CCH) often sparks debate due to its association with historical conflicts, marginalised communities, and contested narratives. CCH includes monuments, artworks, and intangible heritage depicting racialised, minoritised, gendered, and religious groups. CCH is threatened by mis/underrepresentation, or erasure, also because of a lack of consistent strategies for identifying, interpreting, and managing CCH, particularly in Europe. The CIRCE project tackles this challenge through the elaboration of an interdisciplinary and co-created model aimed at fostering inclusive and participatory approaches to CCH management. While discussions on CCH frequently focus on colonial and totalitarian-era monuments, CIRCE extends the analysis to medieval and early modern heritage, emphasizing Jewish, Muslim, and Black histories in the Mediterranean and Indian Ocean regions. Case studies include contested/neglected CH in Italy, Spain, Croatia, Tunisia, and Kenya. The project recognizes the role of migration and global power dynamics in shaping contemporary heritage debates and stresses the need for collaboration with African partners to decentralize perspectives. CIRCE is structured around 3 research objectives: (1) developing a framework for identifying and interpreting CCH, (2) co-creating tools for its valorisation (including a multilingual glossary and an Atlas of Controversial Cultural Heritage) and (3) implementing training programs for CH and tourism professionals, including a MOOC and guidelines for cultural institutions. By adopting a participatory, decolonial approach, CIRCE aims to transform CCH from a source of division into a shared cultural resource fostering inclusion and dialogue. Through artistic collaboration and community engagement, the project promotes new ways of narrating and visualizing heritage, ensuring its responsible preservation and meaningful reinterpretation in evolving global contexts.

Keywords: controversial cultural heritage,medieval and early modern age,representation of jews,islam,black slavery,co creation,decolonising perspective,art based research
AI for Citizen Intelligent Coaching against Disinformation (TITAN)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: A human-centred and ethical development of digital and industrial technologies
Action type: Research and Innovation actions
Countries involved: Italy,Greece,Belgium,Poland,United Kingdom,Finland,Bulgaria,Denmark
Call: AI to fight disinformation (RIA) (HORIZON-CL4-2021-HUMAN-01, 2021)
Start date: 2022-09-01
End date: 2025-11-30
Duration (months): 39.0
Total project cost (EUR): 5734395.0
EU funding (EUR): 5734395.0
Participants: 14
Project status: SIGNED

TITAN delivers an open, distributed and citizen engaging ecosystem which empowers the citizen itself to conduct effective and efficient investigations for understanding whether statements at hand are true. Empowerment is achieved by means of intelligent coaching on the process of investigation. AI-driven, intuitive and personalised ‘question-and-response’ interaction will set the attention of the investigating citizen on the logical interpretation and critical assessment of the implied reasoning and arguments in the statement at hand while directing the citizen in the appropriate use of suitable fact-checking and media literacy tools and services. By being part of the TITAN ecosystem, the citizen is intelligently coached on how to conduct effective investigations either on his/her own or in collaboration with other concerned citizens. Intelligent coaching conversational schemes are personalised according to the investigating citizen’s profile, digital skills, media literacy skills, possible difficulties in thinking critically as well as the linguistic characteristics of the statement under investigation. At the end of such an ‘question-and-response’ interaction cycle, the citizen will have his/her critical thinking and media literacy skills advanced so as to better detect disinformation he/she may encounter in the future at scale. The TITAN Ecosystem will be developed following a human-centered approach which will engage diverse groups of citizens in productive co-creation sessions at all project implementation phases.

Keywords: ai artificial intelligence disinformation
Unravelling the role of Pneumocystis jirovecii in utero infection in early and late pulmonary diseases of very preterm infants. (JIROborn)

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: Spain
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): 181152.96
EU funding (EUR): 181152.96
Participants: 1
Project status: TERMINATED

Very preterm birth represent about 1% of livebirths in Europe each year and is associated with 58% of neonatal deaths and substantial lifetime health problems. Pneumocystis jirovecii is an ubiquitous microfungus commonly known for causing a severe interstitial pneumonia in immunosuppressed subjects. However, this could be the tip of the iceberg and compelling new evidences suggest that this infection may be pathogenic to certain groups of infants. In utero transmission of P. jirovecii in humans has been recently proven. The fungus has been found in the lungs of 14-25% preterm newborns, associated with an increased risk of respiratory distress syndrome (RDS) and bronchopulmonary dysplasia. The ability of P. jirovecii to change the pulmonary environment has been demonstrated in other contexts, inducing a modification of the host immune response, pulmonary dysbiosis and thickening of pulmonary alveoli. Genetic polymorphisms have also been independently implicated in both an increased risk of preterm bi or neonatal RDS and a susceptibility to P. jirovecii. Hence, JIROborn aims to address the impact of P. jirovecii in utero infection on the preterm infants’ lungs alteration and on the development of subsequent early or late diseases, constructing a predictive model for monitoring preterm infants’ related pulmonary complications. JIROborn is a nested case control study using a prospective cohort of 596 infected and uninfected preterm infants and their mothers. First, the clinical impact of P. jirovecii infection will be evaluated for early and later lung complications. Then, biological effects of the infection will be studied focusing on the immune parameters, the microbiota and on surfactant and mucus production. Genetic and epigenetic susceptibilities to P. jirovecii colonization and/or to the development of pulmonary diseases will be evaluated. Finally, all data will be analysed to build a predictive model for the monitoring of preterm infants’ pulmonary complications.

Keywords: pneumocystis jirovecii,preterm birth,inflammation,lungs,respiratory distress syndrome,bronchopulmonary dysplasia,asthma,microbiota,in utero infection,predictive model,personalised medicine
Next generation ultra-high-speed microwave Photonic integrATed circuiTs using advancE hybRid iNtegration (PATTERN)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Research and Innovation actions
Partnership: Photonics (co-programmed)
Countries involved: France,United Kingdom,Belgium,Netherlands,Germany,Switzerland,Cyprus
Call: Advanced Photonic Integrated Circuits (Photonics Partnership) (RIA) (HORIZON-CL4-2021-DIGITAL-EMERGING-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 4893811.51
EU funding (EUR): 4893811.5
Participants: 14
Project status: SIGNED

In PATTERN will world’s first process design kit (PDK) for microwave photonics at ultra-high frequencies above 100 GHz as well as bringing new functionalities into PIC such as magneto-optics isolators and acousto optics modulators (AOM). PATTERN’s approach to ultra-high frequencies is holistic and includes all the aspects such as design and simulation, generation, detestation, modulation, and packaging. To achieve this goal, we propose a massive hybrid integration of several different PIC platforms such as InP and LNOI but also including new materials such as Yttrium Iron Garnet (YIG). We also develop co-integration of electronic SiGe chips with PICs which especially a necessity in ultra-high speeds. LNOI is of the most promising emerging materials for PICs that comprises a unique set of interesting optical properties: a high electo-optic coefficient, a high intrinsic 2nd-order nonlinearity, and a large transparency window which makes it ideal for electronics manipulation of light at many wavelengths (EO modulation). InP is an ideal platform for generation and detection of light and YIG is a known magneto-optics material. If put together, truly novel, and advanced functionalities and opportunities arise. In addition, in PATTERN we developed packaging solutions and for such high frequencies which one of the main barriers in this field. Moreover, we also develop software expertise for design automation (e.g. RF signal routing) and end-to-end circuit simulation and design which is extremely challenging at these frequencies. We also demonstrate the capabilities of the platform in 6 different application-oriented prototypes. To achieve these objectives, PATTERN put together the expertise of 10 well know SMEs, RTOs and industrial players to achieve these objectives in 48 months project. Once developed, PATTERN will pave the way for the new generation of advanced PIC products in wide range of applications from telecom, 5G/6G to quantum technologies, LiDAR and sensing.

Keywords: pics,ultra high speed microwave,hybrid integration,lnoi,