Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
“NextGenBioPest” - Next Generation Biopesticides for the control of the most “difficult-to-manage” pests and pathogens in fruits and vegetables (NextGenBioPest)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Fair, healthy and environmentally-friendly food systems from primary production to consumption
Action type: Innovation actions
Countries involved: Greece,Belgium,Spain,Italy,Slovakia,Czechia,France,Canada,United Kingdom,Germany
Call: Innovations in plant protection: alternatives to reduce the use of pesticides focusing on candidates for substitution (HORIZON-CL6-2023-FARM2FORK-01, 2023)
Start date: 2024-03-01
End date: 2028-02-29
Duration (months): 48.0
Total project cost (EUR): 6254929.25
EU funding (EUR): 5671625.0
Participants: 24
Project status: SIGNED

Plant pests and pathogens damage agricultural production and endanger food security. Their control relies heavily on the use of synthetic insecticides, leading to a negative environmental impact. Developing new methods for pest and pathogen control is therefore essential to safeguard human health and meet the challenge of increasing crop yields, while reducing the use of chemical pesticides. The overarching objective of the NextGenBioPest project is to meet this need by delivering novel and improved products, methods, and practices for the rational control of the most difficult-to-manage arthropod pests and pathogens, with substantially reduced pesticide use. The project will provide a new toolkit for plant protection in key vegetable and fruit crops including diagnostics for pest and pathogen identification and incrimination, novel Biological Control Agents and methods to augment their performance in the field, RNA-based pesticides, Low Risk/Green chemicals, plant resistance inducers and innovative agronomic and ecological practices. These innovations will be integrated with existing approaches, to achieve effective, environment friendly and sustainable crop protection. They will be validated in large field studies, with both their efficiency and socioeconomic impact assessed. Demonstration fields, extensive training and modern targeted communication channels, will enable the appropriate dissemination and uptake of the outcomes to the stakeholders and end users. Data protection and commercialization strategies will ensure their exploitation. These goals will be achieved by integrating leading institutional and industrial partners with drivers of pest control programs. The multidisciplinary and multi-actor team will exploit their diverse expertise, access to extensive preliminary data and resources, and strong networks, to meet the project objectives and ensure the knowledge and tools generated deliver economic, ecological and societal impact.

Keywords: rna pesticide plant resistance inducers traditional agricultural practices
Nanoparticle-Assisted liquid biopsy based on Extracellular for Early Diagnosis of Glioblastoma (NExGliO)

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: Chemistry
Countries involved: Greece,Germany,Croatia,Italy,Poland,Cyprus,United Kingdom,Egypt
Call: MSCA Staff Exchanges 2024 (HORIZON-MSCA-2024-SE-01, 2024)
Start date: 2025-11-01
End date: 2029-10-31
Duration (months): 48.0
Total project cost (EUR): 1069992.86
EU funding (EUR): 936870.0
Participants: 10
Project status: SIGNED

Glioblastoma (GB) is the deadliest primary malignant brain tumour, with a median survival of less than one year while current diagnostic methods suffer from significant limitations, leading to misdiagnosis and poor progression monitoring and are accompanied by invasive biopsy. Currently, there are no blood-based biomarkers available as support tool for GB management. A promising approach for such systems are liquid biopsies based on Extracellular Vesicles (EVs) that present a promising and minimally invasive approach. EVs act as versatile communication hubs, transporting a meticulously selected cargos that include various RNA molecules. The specific composition of EVs is influenced by their cell of origin, highlighting their potential as specific biomarkers for aggressive tumours such as GB. The NExGliO project aims for the development of multiplex biosensors for simultaneous detection on array of EVs-based ncRNAs signature specialized for GB diagnosis. This will be achieved via noble metal NPs which are frequently utilized as SERS substrates due to their strong plasmonic properties for ncRNAs detection. Supporting AI technologies will be developed to improve early-stage cancer diagnosis through ncRNA signature identifying algorithms. The NExGliO Staff Exchange brings together internationally recognised experts with complementary expertise from molecular biology, chemistry, nanotechnology, and AI to develop a robust platform for the early diagnosis and monitoring of GB, thus reducing reliance on invasive procedures and improving survival rates. The secondments and local training will synergize expertise from both academic and non-academic partners for a robust collaboration and to generate knowledge transfer between the consortium partners.The direct application of this knowledge, will enhance the potential to introduce innovative products to the market and solidify their position in the relevant sector as well as benefit the careers of the involved personnel.

Keywords: glioblastoma,cancer diagnostics,exosome,extracellular vesicles,biosensor,ai technologies
The hidden fluid metasomatism recorded in diamond inclusions (MEDIAN)

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: Environment and Geosciences
Countries involved: Italy
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-05-01
End date: 2028-04-30
Duration (months): 24.0
Total project cost (EUR): 193643.28
EU funding (EUR): 193643.28
Participants: 1
Project status: SIGNED

The role of fluids as agents of mass transfer within terrestrial planets and moons has become a rapidly expanding area of research in Earth and Planetary Sciences. This work builds on very recent advances in thermodynamic modelling which have provided predictive models suggesting that carbon-rich fluids are powerful mass transfer agents. The primary objective of MEDIAN is to challenge the framework within which mantle geochemistry operates and the assumption that diamond inclusion geochemistry reflects the formation environment. MEDIAN will perform a comprehensive and innovative suite of high-pressure, high-temperature multi-layer experiments to constrain the mass transfer power of fluid metasomatism in Earth’s silicate mantle. Additionally, a recalibration of the Deep Earth Water model thermodynamic database will result in an improvement in the accuracy and precision of predictive computational models to predict the outcome of fluid-rock interaction in high-pressure systems. This recalibration will facilitate a comprehensive investigation of environmental conditions that are otherwise challenging to replicate experimentally. In conclusion, MEDIAN will investigate the ability of fluids to precipitate mineral assemblages traditionally associated with magmatic processes, providing new exciting insights into the behaviour of metasomatic fluids and deciphering the important messages trapped in diamond inclusions regarding Earth’s tectonic evolution. MEDIAN will speak to one of the most pressing questions in planetary science: how exactly has the sustained injection of aqueous fluids into the mantle at convergent plate boundaries changed Earth since the onset of plate tectonics?

Keywords: fluid metasomatism,diamond formation,experimental petrology,thermodynamic modelling,deep carbon cycle
A GeoAI-based Land Use Land Cover Segmentation Process to Analyse and Predict Rural Depopulation, Agricultural Land Abandonment, and Deforestation in Bulgaria and Turkey, 1940-2040 (GeoAI_LULC_Seg)

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: Türkiye
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2022-10-01
End date: 2024-03-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Rural depopulation, agricultural land abandonment, and deforestation are massive concerns for Europe and elsewhere today and our planet's future. These interlinked phenomena can be analysed using land use and land cover (LULC) maps combined with dynamics of population geography, especially regarding urban sprawl. Modern LULC and spatially disaggregated population datasets go back to the 1980s and 1970s. Although we have earlier population data, these are not geomatched to locations in LULC maps. Earlier LULC maps are either not very reliable (extracted from historical maps) or limited in their geographical coverage (based on selected aerial photos or satellite imagery). These are severe limitations to developing longer and deeper perspectives and understanding the root causes of these detrimental changes in population geography and land use practices in large territories. GeoAI_LULC_Seg will develop an advanced, modular, and customizable geospatial artificial intelligence-based land use land cover segmentation process to accurately map LULC conditions for around 30,000 km2 in a border region between Bulgaria and Turkey, including the cities Edirne, Istanbul, and Plovdiv, from historical aerial photographs and early reconnaissance satellite images (dating back to the 1950s and the 1970s respectively) by pairing them with geotagged historical population census data. Our methodological novelties are not limited to GeoAI-based object segmentation and super-resolution applications for panchromatic imagery for our research area. Our project will create transferable knowledge and scalable methods for global applications for the 1970s, thanks to worldwide coverage of high-spatial-resolution satellite imagery we will process. Furthermore, we will build long-term LULC maps series commensurable with current satellite data (1950-2020), allowing us to improve predictions for future population geography and LULC changes.
Visual Omniversal Learning from Universal Teachers (Volute)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: United Kingdom
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 2143785.0
EU funding (EUR): 2143785.0
Participants: 1
Project status: SIGNED

Volute is an ambitious project in the space of Computer Vision and Machine Learning. While these research domains have made tremendous progress in recent years and have contributed to the success of many tech companies, we are still seeing the highest impact of artificial intelligence (AI) in the natural language processing (NLP) space - for example, in products such as ChatGPT or AI-assisted search on Google and Bing. This success stems from a "foundation model" (e.g., GPT) that is then fine-tuned with hand-labelled instructions to become an assistive chatbot. While many models in Computer Vision are named foundation models, none of them have been able to produce the same impact. The main challenge in Computer Vision is the complexity of the input and output space. NLP tasks are text-based; in contrast, the range of representations in computer vision is endless: images, videos, depth, infrared, medical data, satellites, and more. At the same time, the outputs are similarly diverse: images, text, discrete labels, pixel annotations, bounding boxes, 3D reconstruction, audio, and more. These outputs are often not necessarily meant for human consumption but are the inputs for other systems, such as autonomous driving or robotics. It is thus unrealistic to expect to find an actual foundation model in computer vision. Volute aims to find a new universal model type: an "omniversal trainer", which acts as a data generator to train task-specific models. The omniversal trainer uses a generator, trained on large data collections, and thus learns priors about the world, such as physics, appearance, and visual diversity, but does not need specific task knowledge. A downstream-task model can then be trained with limited task-specific data, augmented with the world knowledge of the universal trainer. This drastically reduces the labelling effort, both in time and cost, for downstream applications and will have a significant impact as it poses a paradigm shift in Computer Vision.

Keywords: computer vision,synthetic data generation,generative models,foundation models
DemonstratIng Value of agri data sharIng for boostiNg data Economy in agriculture (DIVINE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Innovative governance, environmental observations and digital solutions in support of the Green Deal
Action type: Research and Innovation actions
Countries involved: Greece,Italy,Ireland,Estonia,Spain,Belgium,Slovenia,Germany
Call: Data economy in the field of agriculture – effects of data sharing and big data (HORIZON-CL6-2021-GOVERNANCE-01, 2021)
Start date: 2022-10-01
End date: 2026-01-31
Duration (months): 40.0
Total project cost (EUR): 3954797.5
EU funding (EUR): 3954797.5
Participants: 16
Project status: SIGNED

Agriculture is being managed more tightly than ever before and is generating more data than ever before, but the potential of a data economy in agriculture remains unexplored. The reasons for this are varied, and include technical interoperability, business relationships between stakeholders, and social acceptability issues around data ownership and market transparency. Individual stakeholders make use of the data they generate at their own particular stage in the agri-food supply chain. However, the sharing of this data with others along the chain and its collective analysis needs more development and demonstration if more efficiencies are to be introduced and further value added to the agri-data economy. While some sharing is taking place on an ad-hoc basis, each new set of potential data sharers must start from scratch and work through the same issues common to all such arrangements. Equally, the lack of data sharing precedents in agriculture inhibits data owners from taking a more exploratory view of the world. Several dimensions must be considered in policy-making if a fully functioning data economy in the agriculture domain is to emerge. Such a multi-disciplinary approach is at the core of the DIVINE consortium, which encompasses technical (agriculture and ICT), markets, and social sciences expertise. It will build an agri-data ecosystem that incorporates existing common agri data spaces while deploying industry-led pilots built on data sharing arrangements, to demonstrate the cost-benefit and added value in sharing agri data. DIVINE will assess its ecosystem at the level of policy impacts, the uptake of digital technologies, and economic and environmental performance. DIVINE will promote its ecosystem and its assessments to technology providers, policy-makers, farm representatives, and various other agri-data stakeholders. It will take the first real concrete steps towards mature data markets in European and global agriculture.

Keywords: data sharing agri data spaces ecosystem agri decision making support agri data sharing policies agri data governance pilots validation
Whose Agency? Representations of Inaction and Negative Action, in Fiction and Life Writing (WARINA)

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: Sweden
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 206887.68
EU funding (EUR): 206887.68
Participants: 1
Project status: CLOSED

The WARINA project will analyse some fictional, autobiographical, and diaristic texts that represent characters who are unable to act, or who can only act for the worse, that is, perform what in this project will be called “negative action”. The project poses a special focus on how “inaction” and “negative action” activate different stereotypes about social categories such as race, gender, and social class. Its driving belief is that the study of fiction and life writing (autobiographies and diaries) will provide new insights into politically charged representations of inaction or negative action, results that will be achieved by the application of an interdisciplinary theoretical grid, combining literary theory, the social sciences, and cultural psychology. The concepts of inaction/negative action have not been studied as general topics in literature: they tend to be connected to specific authorial poetics, or to great cultural narratives. What is missing is a study of the specific ways in which rhetorical strategies represent and thus create images of inaction and negative action. This study will be conducted in close dialogue with social sciencists and social psychologists' research on agency. In particular, research objects will focus on 1) the use of cognitive metaphors to define what “action” and “inaction” are, and the implementation of metaphors of place that connect a certain place with inaction; 2) the study of emotions from a constructivist point of view, that is, with the aim of understanding how the same emotion can be represented either as being conducive to action, or to inaction, even in the same text; 3) the close observation of the ways in which characters or authors build their life narratives by selecting salient events, relationships, and media products. The corpus’s texts stem from the first half of the Twentieth century, a period whose culture informs some of the terms related the agency that are still in use today.

Keywords: narrative theory,intermediality
The Reforming Spirit in the Age of Revolutions: The Counts of Bernstorff, Commercial Monarchy, and the Invention of Modern Liberty (Reformarchy)

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: Germany
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-10-01
End date: 2026-09-30
Duration (months): 24.0
Total project cost (EUR): 189687.36
EU funding (EUR): 189687.36
Participants: 1
Project status: SIGNED

This project offers the first comprehensive account of the Counts of Bernstorff and the part they played in the making of enlightened reforms in eighteenth-century Denmark. Through a detailed study of the personal and intellectual networks of Johann Hartwig Ernst von Bernstorff (1712-1772) and his nephew Andreas Peter von Bernstorff (1735-1797), two reform-minded Hanoverian counts, who served as chief ministers to the Danish monarchy, REFORMARCHY reconstructs a series of intellectual exchanges between Copenhagen, Geneva, and Göttingen. In so doing, the project elucidates the efforts of the Bernstorffs to reform the Danish monarchy in view of contemporary challenges to the European states system and recovers their main contribution to Enlightenment thought, that is, their vision of modern liberty in a commercial monarchy. Drawing on intellectual currents introduced to them through the various centres of their networks, this vision was moulded by such diverse languages as republicanism, monarchism, natural law, cameralism and political economy. The main objectives of the project are thus to map the personal and intellectual networks the Bernstorffs, to analyse the key concepts of their political vision, and to examine the imperial response to global commercial competition that underpinned their enlightened reform programme. Reconstructing the reforming spirit of the Counts of Bernstorff, REFORMARCHY not only makes an innovating contribution to historical scholarship on enlightened reform, it also brings into view the historical and conceptual relationship between freedom and the state. By returning the concept of modern liberty to its eighteenth-century origin in the dialogue between republicanism and monarchism, REFORMARCHY offers a novel perspective on our current political imaginary. The vision of modern liberty that comes out of this context sees the state not as an impediment to individual freedom, but rather as its requisite.

Keywords: enlightened reform,liberty,commercial society,republicanism,monarchism
Quantitative reflection holographic tomography for in-vivo analysis of biological specimens. (Re.HOT)

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: Poland
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 1499775.0
EU funding (EUR): 1499775.0
Participants: 1
Project status: SIGNED

Optical coherence tomography (OCT) is a widely adopted non-invasive imaging technique that allows visualizing cross-sectional images of a human eye. Enabling OCT to recover the refractive index (RI) distribution is the holy grail of imaging. It would revolutionize current OCT procedures, offering a quantitative diagnosis for the first time. This, in turn, would open doors to new, unique applications, like highly anticipated next-generation laser vision correction procedures, which today have no quality control tools. Currently, no biomedical imaging method can noninvasively provide live RI distribution of patients’ tissues. This is due to the required reflection mode of measurement. It inherently returns reconstructions with an optical transfer function that covers only the high-frequency region in the spatial-frequency spectrum. To solve this problem, I propose a paradigm shift by changing how we treat OCT signals. Namely, by applying a unique numerical framework, I propose to treat the light returning from the object as if it was transmitted twice through its part. As a result, in my breakthrough idea, OCT becomes a transmission quantitative imaging method in the sense that the measured signal covers a low-frequency region of the spectrum. What is more, my idea is to innovatively combine this novel reformulation with a holographic tomography approach. For this reason, I propose capturing multiple angularly distributed OCT measurements and applying a tailored tomographic reconstruction framework to retrieve the 3D RI distribution of live patients' tissue. This will be the first in the world imaging approach that allows fully quantitative live diagnostic, opening new possibilities not only in medicine (like a live pre- and intraoperative assessment of the tissue) but also in materials engineering (in the high-quality investigation of composite layers) or photonics industry (in the validation of photonic integrated circuits).

Keywords: optical coherence tomography,holographic tomography,refractive index