Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Reusing Effluents from Agriculture to unLock the potential of Microalgae (REALM)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Circular economy and bioeconomy sectors
Action type: Innovation actions
Countries involved: Portugal,Spain,Netherlands,Finland,Belgium,United Kingdom,Germany
Call: Unlocking the potential of algae for a thriving European blue bioeconomy (HORIZON-CL6-2021-CIRCBIO-01, 2021)
Start date: 2022-07-01
End date: 2026-06-30
Duration (months): 48.0
Total project cost (EUR): 10229317.5
EU funding (EUR): 8554800.75
Participants: 16
Project status: SIGNED

REALM will transform nutrient-rich drain waters from soilless farms into value, by producing microalgae at reduced costs while treating water and capturing CO2 from the air. This concept will increase the circularity and profitability of microalgal production and soilless farming. The NordAqua and ALGACYCLE projects (NordForsk and EEA, respectively) have shown the feasibility of this concept in Finland and Portugal, and now REALM aims to demonstrate it at an industrial scale. Accordingly, two validation facilities will be installed in the Netherlands and Finland, and two demonstration facilities will be deployed in Portugal and Spain near soilless greenhouses. With know-how from the SABANA project (H2020), these facilities will operate photobioreactors under a turbidostatic regime (continuous harvest) for maximum productivity, using nutrient-rich wastewaters from the greenhouses. Growth and harvesting units will be powered by photovoltaic energy and automatically managed by novel sensors, while A.I.-based predictive models and a cloud-based monitoring system will assist production. Microalgal biomass will be processed by local downstream processing units using dairy industry supply chain as a working model. This concept will offer sustainable wastewater treatment technology to farmers by closing the nutrient loop and is expected to reduce microalgae production costs by >50%, whose savings will be used to increase the competitiveness of the proposed microalgae-based products, namely agrochemicals and aquafeed. A business model will be developed to propose the installation of multiple microalgae production facilities, next to soilless greenhouses, and connected to a centralised processing facility. The results generated by REALM will be disseminated so the demonstrated concept can be replicated by relevant stakeholders in all EU, while targeting several objectives established by the European Green Deal, such as working with nature to improve human health by promoting a greener industry.

Keywords: bioremediation,hydroponics,automatic production,aquaculture,agriculture
Upcycling of fruit and vegetable losses and by-products into sustainable and natural clean-label ingredients: AgroGrIN Tech pilot approach (AgroGrIN Tech)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: Portugal
Call: Women TechEU (HORIZON-EIE-2022-SCALEUP-02, 2022)
Start date: 2023-09-01
End date: 2024-08-31
Duration (months): 12.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

Molecule Message Unipessoal is a food waste upcycling company, that produces sustainable and clean label ingredients, through a patent technology that uses green chemistry that enables to isolate of concentrated extracts of natural enzymes and vitamins, still reusing the remaining fraction into the production of naturally gluten-free flours and natural flavouring powders. The main activities are related to innovation and technology transfer to the market of technology and innovation, coming from fundamental research associated with the food industry and sustainability area.

Keywords: environment natural ingredients
A CLOUD-BASED REMOTE SENSING DATA SYSTEM FOR PROMOTING RESEARCH AND SOCIOECONOMIC STUDIES IN ARCTIC ENVIRONMENTS (EO-PERSIST)

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: Environment and Geosciences
Countries involved: Greece,Romania,Italy,Poland,Finland,Sweden,Cyprus,North Macedonia
Call: MSCA Staff Exchanges 2021 (HORIZON-MSCA-2021-SE-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 1769685.71
EU funding (EUR): 1568600.0
Participants: 13
Project status: SIGNED

In today’s changing climate is of urgent importance to understand the adverse impacts of climate change to the local and regional Arctic natural environments, infrastructures and industries. To this end, Earth Observation (EO) is the way forward, as it is extremely challenging to obtain long-term continuous ground observations. Recent advances in EO sensors, in cloud computing, geographical information systems (GIS) and in the field of socioeconomics provide unique opportunities to promote research and socioeconomic studies in the Arctic. Yet, despite their plethora, EO data are provided in a dispersed and unconnected way through several web platforms and in diverse formats, making their use difficult. EO-PERSIST proposes the development of a single cloud-based system that will allow in a unique way the availability of the collection, management and exploitation of the available EO data suitable to permafrost studies. The system leverages existing services, datasets and novel technologies to: a)create a continuously updated ecosystem with EO datasets suitable for permafrost studies, b)promote methodological advances in permafrost studies by exploiting the huge volume of EO datasets and c)provide indicators directly connected with socioeconomic effects to permafrost dynamics. Experimental analysis will also be carried with the system to showcase its use via five carefully selected and innovative Use Cases, that will serve as Key Performance Indicators of the system. EO-PERSIST brings together staff from academia and industry via a series of carefully-designed secondments, establishing a unique fertile collaborative research and innovation environment to promote pioneering research and socioeconomic studies implementation in the Arctic. A strong inter-sectoral experienced research team, of 5 academic and 6 industrial partners, coming from Greece(3), North Macedonia (1), Finland(1), Sweden(1), Cyprus (1), Poland(1), Romania(2) and Italy(1) constitute the project’s consortium.

Keywords: remote sensing,cloud computing,gis big data,socioeconomics,earth s processes,arctic,permafrost
Advanced modelling and characterization for power semiconductor materials and technologies (AddMorePower)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Increased Autonomy in Key Strategic Value Chains for Resilient Industry
Action type: Research and Innovation actions
Countries involved: Germany,Austria,France,Czechia,Belgium,Sweden
Call: Advanced materials modelling and characterisation (RIA) (HORIZON-CL4-2022-RESILIENCE-01, 2022)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 5995526.25
EU funding (EUR): 5995526.25
Participants: 11
Project status: SIGNED

The proposed project AddMorePower aims to advance X-ray- and electron-probe related characterization techniques to make them quantitative and automated tools for the power semiconductor industry, and to refine modelling (using MODA) and FAIR data-management methods to enhance and efficiently use characterization data (using CHADA). Thereby, AddMorePower will promote the materials integration and development for European power semiconductor technologies, to allow a broader and faster market penetration, while also providing new opportunities for other industries basing themselves on mono- and polycrystalline materials. With the rapid and massive spread of power electronics and power semiconductors to enable the digitalization and the electrification of our society and its supply with sustainable energy, new requirements arise to the conception and integration of semiconductor and interconnect materials. AddMorePower will provide the necessary characterization and modelling techniques that meet the particular needs of the upcoming power semiconductor technology generations: 1. The transition to the new semiconductor materials gallium nitride (GaN) and silicon carbide (SiC), mainly limited by defects in the crystal lattice, for which currently no established characterization workflows exist. 2. The starting 3D-integration also of power devices, posing severe thermo-mechanical challenges to the involved metals and intermetallic materials, which can only be mastered by understanding gained by predictive modelling. 3. The trend towards digitalization and industry4.0, which requires FAIR (findable, accessible, interoperable and reusable) data at all development and production steps. The project brings together renowned research institutes with many years of experience in electron- and X-ray characterization, emerging new research groups and company start-ups and researchers with a track record in multi-physics materials modelling as well as data engineering.

Keywords: characterisation,modelling,power semiconductor,gallium nitride,silicon carbide,heterogeneous 3d integration,metals,intermetallics,defects,fatigue,automated workflows,fair data,chada,moda
Mechanistic study of gut microbial biotransformation reactions and their physiological role. (BiPMeM)

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: Germany
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-04-01
End date: 2025-03-31
Duration (months): 24.0
Total project cost (EUR): 173847.36
EU funding (EUR): 173847.36
Participants: 1
Project status: CLOSED

The human gut microbiota, the trillions of microbes inhabiting our gastrointestinal tract, encodes an enormous number of metabolic enzymes, responsible for diverse biochemical reactions that determine metabolic microbiota-host interactions. Bacterial biotransformation reactions, the chemical modification of compounds by bacteria, seem to play a central role in such metabolic interplay between the gut microbiota and its human host. A number of gut microbial biotransformations such as reductive and hydrolytic reactions, as well as their metabolic enzymes, have been recently described. The natural roles of these biotransformation pathways in bacterial metabolism and their influence on host physiology have been associated with gut bacterial fitness, nutrition uptake, immune signaling, as well as personal drug response and toxicity. Despite these important functions, our mechanistic and physiological understanding remains still limited for many gut microbial biotransformation reactions, such as chemical conjugation. To fill this knowledge gap, I present a multidisciplinary plan to systematically investigate conjugative biotransformation reactions of gut bacteria. I will develop mass spectrometry-based methods to identify gut bacterial species and strains that perform conjugative biotransformations, employ high-throughput gut bacterial genetics to identify the responsible genes, determine their role in bacterial metabolism, and eventually assess selected examples for their impact on microbiota-host interactions in gnotobiotic mouse models. If successful, this project will provide novel insights into gut microbial metabolism, and pave new ways to develop strategies for the rational manipulation of gut microbial community functions for better health outcomes. Furthermore, this project will expand my professional network, transferrable skills, and scientific competencies, thus providing me the greatest opportunity to mature towards an independent scientist and investigator.

Keywords: human gut microbiota microbial biotransformation mass spectrometry metabolomics anaerobic microbiology gnotobiotic mouse models
Synthetic proteins for sustainable animal feeding (SYNFEED)

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,Netherlands,France,Denmark
Call: EIC Pathfinder Open (HORIZON-EIC-2024-PATHFINDEROPEN-01, 2024)
Start date: 2025-02-01
End date: 2029-01-31
Duration (months): 48.0
Total project cost (EUR): 3079962.5
EU funding (EUR): 3079962.5
Participants: 5
Project status: SIGNED

Half of the protein directed towards animal feeding is wasted due to incomplete protein digestibility, and the distinct amino acid profiles found in both plants and animals. This generates serious pollution problems for our soils, aquifers, and atmosphere (e.g. livestock contribute to 87% of total ammonia emissions in agriculture). Moreover, EU faces significant challenges in providing adequate protein sources for animal feed (97% of soybean meal is imported; €1.5 billion/year). Hence, it is imperative to identify a sustainable solution for animal protein supply. SYNFEED will demonstrate that by developing a new interdisciplinary technological approach, it is possible to generate proteins that can produce a radical paradigm change in the way animals are fed, highly reducing both the environmental impact and external dependence on raw materials of the EU. Using the broiler chicken as a model, SYNFEED will i) generate new precision nutrition knowledge (proportion of amino acids to fulfil the requirements and dynamics of protein hydrolysis in the targeted species); ii) design several candidate sequences using this nutritional information by protein engineering techniques (combining AI and molecular modelling); iii) generate these candidates in cell-free systems adapted to the final host and evaluate them in a new iterative procedure maximizing expression and digestibility potential; iv) optimize the sustainable biosynthesis of the selected protein with sustainable hydrogen-oxidizing bacteria strains; v) evaluate the effectiveness of the protein in broilers (productive performance, animal health and welfare and reduction of nitrogen losses), and the sustainability of SYNFEED solution with a life cycle assessment. This ground-breaking approach will replace conventional animal feeding, positioning the EU as a leader in biosynthetic protein generation, promoting the emergence of biotech companies and reducing livestock environmental impact.

Keywords: animal science,amino acid nutrition,biosynthesis,protein modelling,sustainable microbial protein
FrOm RupturE procesS to Earthquake Early warnING (FORESEEING)

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: Italy
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2024-12-01
End date: 2029-11-30
Duration (months): 60.0
Total project cost (EUR): 1231718.0
EU funding (EUR): 1231718.0
Participants: 2
Project status: SIGNED

FORESEEING means “FrOm RupturE procesS to Earthquake Early warnING” and is a groundbreaking research project halfway between the investigation of the earthquake generation processes and the implementation of methods for real-time risk mitigation actions. Incredible progress in earthquake source characterization and modelling has been achieved in the last decades. However, the mechanism of nucleation, radiation and arrest of seismic fractures is still poorly understood and with that, the fundamental issue of seismology is still unsolved: “How do earthquakes begin and what does control their final size?” Within FORESEEING, I want to get to the bottom of the earthquake nucleation with all possible means. I want to solve the unsolved issue of how earthquakes start and understand the physical processes of their generation. Once this issue is understood, I want my research outcomes to become a concrete support for the community and be implemented into Earthquake Early Warning systems, for the prompt activation of emergency actions that can save lives, reduce damage, improve resilience. This will be achieved through an interdisciplinary research approach looking at the rupture process from different points of view. Real earthquake data will be used to find out evidence of the nucleation phase of seismic ruptures and to understand the relationship between the observed features of the initial recorded signals and the following evolution of the seismic ruptures. Laboratory experiments will allow to deeply understand which parameters may influence the rupture development and how they are involved in the process. Digital twins will give the chance to explore in great details the fracture processes during crustal earthquakes and investigate faulting mechanism in realistic conditions. The implementation of real-time algorithms for EEW will move the fundamental knowledge beyond the scientific research, becoming a tool to reduce the risk during major earthquakes.

Keywords: earthquake nucleation earthquake rupture seismic source rupture modelling laboratory earthquakes digital twins earthquake early warning
ASSESSMENT AND ENGINEERING OF EQUITABLE, UNBIASED, IMPARTIAL AND TRUSTWORTHY AI SYSTEMS (AEQUITAS)

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,Sweden,Ireland,Netherlands,Portugal,France,Belgium,Spain
Call: Tackling gender, race and other biases in AI (RIA) (HORIZON-CL4-2021-HUMAN-01, 2021)
Start date: 2022-11-01
End date: 2025-10-31
Duration (months): 36.0
Total project cost (EUR): 3493992.0
EU funding (EUR): 3493992.0
Participants: 20
Project status: SIGNED

AI-based decision support systems are increasingly deployed in industry, in the public and private sectors, and in policy-making. As our society is facing a dramatic increase in inequalities and intersectional discrimination, we need to prevent AI systems to amplify this phenomenon but rather mitigate it. To trust these systems, domain experts and stakeholders need to trust the decisions. Fairness stands as one of the main principles of Trustworthy AI promoted at EU level. How these principles, in particular fairness, translate into technical, functional social, and lawful requirements in the AI system design is still an open question. Similarly we don’t know how to test if a system is compliant with these principles and repair it in case it is not. AEQUITAS proposes the design of a controlled experimentation environment for developers and users to create controlled experiments for - assessing the bias in AI systems, e.g., identifying potential causes of bias in data, algorithms, and interpretation of results, - providing, when possible, effective methods and engineering guidelines to repair, remove, and mitigate bias, - provide fairness-by-design guidelines, methodologies, and software engineering techniques to design new bias-free systems The experimentation environment generates synthetic data sets with different features influencing fairness for a test in laboratories. Real use cases in health care, human resources and social disadvantaged group challenges further test the experimentation platform showcasing the effectiveness of the solution proposed. The experimentation playground will be integrated on the AI-on-demand platform to boost its uptake, but a stand-alone release will enable on-premise privacy-preserving test of AI-systems fairness. AEQUITAS relies on a strong consortium featuring AI experts, domain experts in the use case sectors as well as social scientists and associations defending rights of minorities and discriminated groups.

Keywords: fairness measure,assessment,repair in ai systems software methodologies for fair by design ai systems
Socio-Demographic Inequality in Climate Change Impacts (SOCIO-CLIMP)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Human Mobility, Environment, and Space
Panel description: Human geography, demography, health, susta inability science, territorial planning, spatial analysis
Countries involved: United Kingdom
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-04-01
End date: 2031-03-31
Duration (months): 60.0
Total project cost (EUR): 1497696.0
EU funding (EUR): 1497696.0
Participants: 1
Project status: SIGNED

As climate change and extreme weather escalate across Europe, understanding the socio-demographic dimensions of climate events, environmental hazards, and their health consequences becomes increasingly vital. This is particularly important for designing more equitable strategies of environmental protection and climate adaptation, as well as facilitating healthier and more just societies. SOCIO-CLIMP has three primary objectives. 1) Investigating socio-demographic inequalities in exposure to extreme weather events, including their intersection with environmental hazards. 2) Analysing the disparities in vulnerability to extreme weather events - physical and mental health impacts of exposure - according to socio-demographic characteristics. 3) Evaluating how variations in individual and residential contexts contribute to inequalities in exposure and disparities in physical and mental impacts. SOCIO-CLIMP analyses the socio-demographic correlates of exposure to climate events and environmental hazards using harmonised demographic data across 30 European countries from the 2021 census at a granular spatial resolution. It combines the spatial data with individual-level panel data in the UK and Germany to provide groundbreaking insights into the physical and mental vulnerability (as the cumulative health burden) of different socio-demographic groups to these climate events. SOCIO-CLIMP represents an innovative effort to understand the socio-demographic inequality in climate change impacts across Europe. It will transform our comprehension of who is exposed to climate change, where specific sub-populations are particularly exposed, how vulnerable these groups are to exposure, and what can be done to effectively mitigate the negative impacts. It will uncover vital insights into social disparities related to climate change, inform targeted interventions, and contribute robust evidence for addressing the demographic and social challenges of climate change.

Keywords: climate justice,environmental inequality,residential segregation,exposure to extreme weather,health impacts of extreme weather