Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Climate change and air contamination: Artificial Intelligence applied on the correlation between air pollutants and non-communicable respiratory diseases in Europe (ClimAIr)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Living and working in a health promoting environment
Action type: Research and Innovation actions
Countries involved: Spain,Poland,Finland,Greece,Germany,France,Belgium,Italy,Austria,Romania,Switzerland,Luxembourg,Ukraine,Ireland,Türkiye
Call: The role of environmental pollution in non-communicable diseases: air, noise and light and hazardous waste pollution (HORIZON-HLTH-2024-ENVHLTH-02-two-stage, 2024)
Start date: 2025-01-01
End date: 2028-12-31
Duration (months): 48.0
Total project cost (EUR): 9002693.51
EU funding (EUR): 7961520.91
Participants: 21
Project status: SIGNED

The ClimAIr project will expand the evidence-based understanding of climate change, air pollution, and non-communicable respiratory diseases by using Artificial Intelligence (AI) tools. It will gather data on greenhouse gases levels and disaster risks, information on serious air pollutants and respiratory diseases' prevalence. The AI-powered tools will be employed to generate better intervention methods and improve public health outcomes. Federated Learning (FL) will be used to develop AI models to protect patients' privacy. By raising public awareness and delivering the ClimAIr tool – specifically designed to health workers, urban planners and policy makers - the project aims to influence policy decisions, promote healthier environments, and reduce respiratory diseases in Europe, which will be tested and validated the ClimAIr tool in specific municipalities that are part of the project. ClimAIr draws on a consortium of 21 partners from 15 European countries, including carefully selected health centres across Europe – in Spain, Luxembourg, Ukraine, Italy, France, Germany, Greece, Romania and Poland – focused on respiratory diseases, which will provide disease data and explore metabolic routes of the studied contaminants/diseases. ClimAIr is composed of an interdisciplinary team formed by research centres, ethical AI and modelling experts, SSH specialists, municipal governance, and a Communication & Dissemination (C&D) expert team dedicated to achieving and spread the results of the project.

Keywords: artificial intelligence climate change clinical studies allergology social science and humanities decision support system
Cluster Action For Ecosystem Innovation Network (CAFEIN)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Interconnected Innovation Ecosystems
Destination: Interconnected Innovation Ecosystems
Action type: Coordination and support actions
Countries involved: France,Italy,Sweden,Spain,Poland
Call: Preparatory action for setting up joint programmes among innovation ecosystems actors (HORIZON-EIE-2021-CONNECT-01, 2021)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 500000.0
EU funding (EUR): 500000.0
Participants: 5
Project status: CLOSED

CAFEIN aims at facilitating the design and subsequent adoption by national innovation funding agencies (members of the Innovation Funding Advisory Board) of an inclusive and cross border joint action plan to support the green industrial transition of their SMEs. The action plan will participate to make Europe climate neutral by 2050 with improved circular economy, resource efficiency and resilience, building European industrial value chains. The project uses a bottom-up approach, where national cluster associations act as facilitators and innovation ecosystem experts for national funding agencies. Having associations of clusters as partners will allow to efficiently engage and connect all stakeholders of the quadruple helix (public authorities, start-ups, SMEs, large companies, investors, research and innovation actors, academia, incubators and business servicCAFEIN aims at facilitating the design and subsequent adoption by national innovation funding agencies (members of the project’s Innovation Funding Advisory Board) of an inclusive joint action plan to support the green industrial transition of their SMEs. This joint action plan will participate to make Europe climate neutral by 2050 with improved circular economy, resource efficiency and resilience, building European industrial value chains. The project uses a bottom-up approach, where association of clusters act as facilitators and ecosystems experts for national funding agencies. Having associations of clusters as partners will allow to efficiently engage and connect all the quadruple helix’s stakeholders (public authorities, start-ups, SMEs, large companies, investors, research and innovation actors, academia, incubators and business service providers). Citizens will also be addressed, making them aware on the green industrial transition and collaboration challenges and opportunities. Furthermore, the partners will represent innovation leaders and less advanced innovation ecosystems, leaving no one behind.

Keywords: green industrial transition,circular economy,cross border collaboration,transition challenges,inclusion,bottom up approach,quadruple helix stakeholders
Multimodal “4D”-therapy of pediatric high grade glioma (4D-therapy)

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: Germany
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1493711.0
EU funding (EUR): 1493711.0
Participants: 1
Project status: SIGNED

Paediatric high grade glioma (pHGG) is the most common malignant childhood brain tumour with standard-of-care inevitably resulting in therapy-resistant relapse or disease progression. The need for new combinatorial treatments is universally acknowledged; however, modern combination therapies are sparse, include at most two modalities and have so far not been able to significantly improve the dismal prognosis of the disease. In this proposal, I conceptualize a highly targeted multimodal treatment strategy for pHGG (4D-therapy) based on complementary precision medicine approaches. The system leverages multiple inter-modal synergies, overcomes resistance to individual therapies and disperses off-targeting to different cell populations, thereby creating a large therapeutic window. Initially, we will conduct a comprehensive screen to evaluate a novel regimen of combined upfront targeted drug- and radiotherapy (RT), followed by functional validation in vitro and in vivo. In-depth molecular profiling will allow us to unravel mechanisms of radiosensitization. Further, we aim to establish an innovative gene therapy approach with unprecedented, highly specific tropism for tumour cells by combining elaborately selected adeno-associated viruses and nanocapsules with newly identified Cas-nucleases. Ultimately, we will systematically combine drug-RTs, gene therapies and existing tumour-specific CAR-T cells within a rationally designed, multimodal treatment regimen and evaluate its efficacy in a series of preclinical studies. A broad representation of patient-derived xenografts, complemented by immunocompetent allograft models will provide leading-edge predictive power and a unique dataset to investigate multimodal interactions. I expect this project to provide pioneering insights into inter-modal treatment synergies, to produce stratified treatment protocols for pHGG, directly informing clinical trials and to become a pathbreaking feasibility study for multimodal cancer therapy.

Keywords: multimodal therapy,precision medicine,paediatric brain tumour,preclinical evaluation
Getting Ahead of Landslides: Understanding Social and Environmental Interactions to Anticipate Future Urban Landslide Risk (UrbanSlide)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Earth System Science
Panel description: Physical geography, geo logy, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Austria
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-07-01
End date: 2030-06-30
Duration (months): 60.0
Total project cost (EUR): 1499153.0
EU funding (EUR): 1499153.0
Participants: 1
Project status: SIGNED

Global landslide casualties will rise due to greater exposure, lack of practical measures, and informed policies addressing growing landslide risks. Global urban population has grown from 30% in 1950 to about 50% today and will likely reach 68% by 2050, increasing the number of people exposed to landslides to 90 million from today's 65 million. This surge in the urban population and associated landscape modifications, often unplanned, exacerbate landslide risk, especially in the tropics. For example, informal house construction could reduce slope stability, besides exposing inhabitants. In parallel, anthropogenic climate change could double landslide-relevant rainfall extremes, increasing landslide hazards. Essential interactions among urbanisation, demographic composition, rainfall, and landslides are well-known. Yet, traditional risk assessments ignore feedback between these risk drivers and discount their future states, hampering proactive risk management due to their focus on historical observations. UrbanSlide aims to unravel the complex shaping of landslide risk by studying causal interactions between societal, environmental, and urbanisation risk drivers. Intending to "get ahead of landslides", UrbanSlide will develop a hybrid model integrating process-based and statistical models, both informed by empirical knowledge on social-environmental interactions. A key emphasis is on anticipating the diverse human actions shaping landslide riskscapes. Eventually, UrbanSlide will quantify potential future landslide risk in the rapidly expanding tropical urban centres to facilitate informed decision-making. UrbanSlide will fill the fundamental knowledge gap regarding the dynamics of landslide risk emerging from the intricate interplay of the environment and society. The derived quantitative evidence will notably support the design of pro-poor urban landslide risk reduction practices by highlighting the scale and priority regions of future landslide risk.

Keywords: landslide risk,landslide hazard,climate change,urbanisation,socio demography,urban vulnerabilities,socioeconomic inequalities,population increase,low and lower middle income countries,tropics,informal settlements,natural hazards,natural hazard risk disaster risk reduction
Harnessing Robotics, XR/AR, and 5G for a New Era of Safe, Sustainable, and Smart Agriculture (AgRibot)

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,Belgium,Spain,Denmark,Cyprus,Germany,Serbia,Switzerland
Call: Enhancing working conditions and strengthening the work force through digital and data technologies – the potential of robotics and augmented reality in agriculture (HORIZON-CL6-2024-GOVERNANCE-01, 2024)
Start date: 2024-11-01
End date: 2028-10-31
Duration (months): 48.0
Total project cost (EUR): 4966380.0
EU funding (EUR): 4966380.0
Participants: 18
Project status: SIGNED

AgRibot is a groundbreaking project aimed at advancing robotics as well as augmented and extended reality (AR/XR) technologies within the agricultural sector. The project’s overarching goal is to achieve a range of critical impacts including: improving working conditions, reducing environmental footprint, addressing workforce shortages, and enhancing overall sustainability and competitiveness. In alignment with strategic initiatives such as the Farm-to-Fork Strategy, the Common Agricultural Policy post-2022, and the broader ambition of embracing the Digital Age, AgRibot is poised to drive a transformative shift toward a fair, safer, and resilient agriculture sector.

Keywords: agriculture robotics ar xr worker safety advanced robotics agricultural efficiency labor shortage solutions environmental impact reduction farmers workers safety farmers community network
Association between genotypes and phenotypic responses of honeybee subspecies under stresses posed by xenobiotics: applications in pesticide risk assessments (TOPRA-B)

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: Portugal,Spain,Italy
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 172618.56
EU funding (EUR): 172618.56
Participants: 3
Project status: SIGNED

Apis mellifera L. (HB) is the most influential pollinator in the world. HB colony decline worldwide has been associated to multiple stressors. The EFSA recently devised an integrated framework focused on developing a holistic approach to the risk assessments (RA) of multiple stressors on HB. It requests research data on the influence of genetic diversity on toxicological sensitivity at subspecies (SBP) level. HB is the model organism for RA studies, and there are at least 24 SBP described. Surprisingly, RA require no distinction among them. TOPRA-B will push the known boundaries of RA, by examining for the first time the genetic background of HB. Using 3 SBP and SNP markers, TOPRA-B will perform an innovative study connecting the genetic diversity in the cytochrome P450 to the pesticides and pathogens exposure in HBs. WP1 entails the application of bioinformatic tools on over 176 whole genome sequences owned by the host institution. WP2 will consists of designing the reduced assay from the list of SNPs generated in WP1. WP3 will consist of laboratory-based bioassays of exposure of bees to pesticides and pathogens, and by employing the link between genotypes to the phenotypic responses. The WPs will help solve four of the nine data gaps raised by the current RA, addressing the results for the EFSA’s policymakers. TOPRA-B brings a strong interdisciplinary, intersectoral and international framework. Since it will deal with the principal model organism of RA, the magnitude of this innovative technology and approach will be available worldwide with a high potential of being adopted for universal RA schemes. The importance of the results consists of the optimization of the current and future RA, and the efficiency in genotyping large sample sizes. TOPRA-B will be committed to the United Nations’ 2030 Agenda, lined with Sustainable Development Goals and European Green Deal.

Keywords: pesticide risk assessment,pollinators,bee health,multiple stressors,honeybee genetic diversity,pesticides,pathogens,ecotoxicology,snp markers,detoxification,cytochrome p450
Beyond Influence: The Connected Histories of Ethiopic and Syriac Christianity (BeInf)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Texts and Concepts
Panel description: Literary studies , literature,  philosophy
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 1968500.0
EU funding (EUR): 1968500.0
Participants: 1
Project status: SIGNED

The innovative BeInf project interrogates the connected histories of Ethiopic and Syriac Christianity in their various complexities and nuances. It accomplishes this task through a series of five discrete, but complementary case studies addressing: 1. Aramaic loanwords in Ethiopic; 2. the so-called Nagran Episode, in which the sixth-century Aksumite ruler Kaleb intervened on behalf of Syriac Christians who were being persecuted in the Arabian peninsula; 3. the Ethiopic Abba Gärima Gospels, including especially their illumination programs; 4. the hagiography of the Nine Saints, who are alleged to have brought about a “second christianisation” of Ethiopia in the late fifth and early sixth centuries; 5. the Ethiopic reception of Syriac literature. BeInf’s innovation is multifaceted. It adopts a multi-disciplinary approach that brings together methods that are traditionally categorized as distinct and disconnected, including especially art history, linguistics, manuscript studies, philology, textual studies, and history. In addition, it rejects area studies and unites fields that have traditionally been isolated and siloed off in problematic ways. Finally, it proposes to move beyond influence as an analytical category for analysing connections, contacts, exchanges, and the actors and cultural brokers responsible for them and instead adopts a methodological and theoretical stance inspired by “connected history”, especially in the sense of histoire croisée. With these innovations, BeInf is positioned to make significant, long-lasting contributions to the field of Ethiopic Studies, both in content and in concept, while also serving as a paradigm-shifting model for other projects in the humanities addressing areas of inquiry that have traditionally been dominated by ill-framed questions of influence and that are primed to move beyond influence to explore connected histories with all their nuance, complexity, and texture through a multi-disciplinary approach.
Understanding how long non-coding RNAs adapt the adipocyte for specialised lipid storage and breakdown. (LNC-LIPID)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology  of ageing , pathophysiology, inter - organ and tissue communication, endocrinology, nutrition,  metabolism, interaction with the microbiome, non -communicable diseases including cancer (and except disorders of the nervous system  and immunity -related diseases)
Countries involved: Sweden
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 1493925.0
EU funding (EUR): 1493925.0
Participants: 1
Project status: SIGNED

Energy is stored in adipocytes as a large uniocular lipid droplet, which can be broken down into fatty acids (FAs) and released into the circulation when needed. This specialised lipid storage and breakdown requires dynamic organisation of metabolic enzymes and cofactors around the large lipid droplet for metabolic homeostasis. In obesity, the adipocyte dysfunctions, resulting in high spontaneous release of FAs. This chronic release and elevation of systemic FAs is a major driver of systemic insulin resistance, type 2 diabetes and other cardiometabolic diseases. I postulate that long non-coding RNAs (lncRNAs) interact with the metabolic machinery within the adipocyte to organize cell- and stimulation-specific interactomes, channelling substrate flux within the cell. Adipocytes express over 4000 lncRNAs, many of which are unique to humans and this cell type. However, whether these lncRNAs contribute to the adipocyte’s specialised lipid metabolism in health and disease is not understood. This proposed research aims to address this question. I have already developed key methodologies to study lncRNAs in human adipocytes, including a novel technique called TROOPS that identifies specific lncRNA-interacting proteins. Leveraging an extensive bank of white adipose tissue biopsies from uniquely characterized patients, I will identify disease-regulated lncRNAs and test how they function in human adipocytes. I will use gene editing techniques and lipid/metabolomics analysis to define the role of these lncRNAs in lipid storage and FA release. Furthermore, I will use protein-lncRNA complex purification combined with advanced microscopy techniques to reveal how lncRNAs can sequester protein complexes into phase-separated organelles and organize adipocyte lipid metabolism. These insights will provide a paradigm shift in understanding how lncRNAs enable the adipocyte to perform specialized functions and new generalizable findings for how lncRNAs contribute to cell function.

Keywords: long non coding rna,adipocytes,lipid metabolism,rna protein interactions,cardiometabolic disease
Gut microbiota drug biotransformation as a tool to unravel the mechanisms of metabolic microbiota-host interactions (GutTransForm)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Integrative B iology : from Genes and Genomes to S ystems
Panel description: For all organis ms: Genetics, epigenetics, genomics  and other ‘omics studies , bioinformatics, systems biology , genetic diseases , gene editing, innovative methods and modelling,  ‘omics for personalised  medicine
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2022-STG, 2022)
Start date: 2023-05-01
End date: 2028-04-30
Duration (months): 60.0
Total project cost (EUR): 1894858.75
EU funding (EUR): 1894858.75
Participants: 1
Project status: SIGNED

The variability of the human gut microbiome (entirety of microorganisms inhabiting the intestine) far exceeds human genome variability, and has been connected to various aspects of human health. Although microbiome differences are often linked to altered metabolism, the current view on metabolic interactions between the microbiota and the host remain mostly descriptive due to several limiting factors. First, most sequencing-based human microbiome studies rely on correlative analyses between microbiome composition and human phenotypes, depend on largely incomplete microbial genome annotations, and are not targeted to identify community-mediated functional traits. Second, many metabolites can be both of microbial and human origin, which makes it conceptually and methodologically challenging to disentangle metabolic microbiota-host interactions. To overcome these limitations, I propose a systematic bottom-up strategy to mechanistically study metabolic microbiota-host interactions by harnessing gut microbiota’s capacity to biotransform (chemically modify) drug molecules. The large chemical diversity and exogenous origin makes medical drugs ideally suited for experimental in vitro and in vivo approaches to probe microbiota-host interactions in a controlled way. We will combine high-throughput culturing protocols, genetics, metabolomics measurements, genomics analyses, gnotobiotic mouse work, and computational modeling to connect interpersonal differences in microbiome composition to differences in metabolic functions of individuals’ gut microbiota, and ultimately link them to molecular host phenotypes. Generating these mechanistic insights and transformational resources is essential to understand the fundamental principles of the microbiota-host relationship. In addition, this project has direct medical relevance, as it provides actionable microbiome-based links to interpersonal differences in medical drug response, which remain a widespread problem in clinical practice.

Keywords: microbiome,bacteriology,metabolism,gnotobiotic mouse models,drugs