Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Modular HEATing Technology through renewable resources for steel production (ModHEATech)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Innovation actions
Partnership: Clean Steel (co-programmed)
Countries involved: Italy,Germany,Spain
Call: Modular and hybrid heating technologies in steel production (Clean Steel Partnership) (IA) (HORIZON-CL4-2022-TWIN-TRANSITION-01, 2022)
Start date: 2023-03-01
End date: 2026-02-28
Duration (months): 36.0
Total project cost (EUR): 5145300.0
EU funding (EUR): 3392500.0
Participants: 6
Project status: SIGNED

Nowadays the overall energy demand in downstream steel production is mainly based on fossil fuel, so it is fundamental to find and set new ways to overcome the environmental impact of steel production Currently, the state-of-art of reheating furnaces is based on CH4 burners, with an evident environmental impact on CO2 emissions The main objective is to decarbonize this process, based on the introduction of hybrid heating technology, based on electrification and gas-burning properly combined. This solution provides an opportunity to explore the synergic effect of different technologies, by “hybrid heating”. Moreover, the whole efficiency of the heating process can be furtherly improved by the recovery of enthalpy content of off-gases from the furnace. The furnace partial electrification will be realized by the installation of an induction system. The electricity to feed the inductor will be provided by a renewable source (RES) and by the heat recovery system.
Silent flagellin in chronic inflammatory and auto-immune disease (SilentFlame)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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: Germany
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

The last century has seen a dramatic increase in the prevalence of chronic inflammatory and autoimmune illnesses, including diseases of poorly understood etiology such as Crohn’s disease (CD) and myalgic encephalomyelitis (ME). Recent reports for CD and ME of elevated levels of antibodies against flagellins made by Lachnospiraceae (Lachno), which are usually associated with health, suggest a common breakdown of immune tolerance. My laboratory recently discovered a new class of flagellin that we termed “silent” because it binds the innate immune receptor TLR5 without inducing a response. Many Lachno species, which are highly abundant and prevalent in the human gut microbiome, encode silent flagellins. We have observed that silent flagellin is highly targeted by antibodies in CD and ME. We hypothesize that the usage of silent flagellins by Lachnos and their reciprocal interactions with host immunity sustain inflammation in the gut and may drive auto-immunity. In SilentFlame, we will explore the breadth of the antibody response against Lachno flagellins in a panel of chronic inflammatory and autoimmune conditions, as well as potential cross-reactivity with human proteins. In parallel, we will investigate the enigmatic role of silent flagellin in bacterial colonization of the gut and host adaptive immune responses, both in homeostasis and inflammation. To do so, we will establish new genetic systems for two Lachno bacteria commonly associated with human health and perform experiments in a germfree transgenic mouse line expressing the human TLR5, as well as human intestinal organoids to account for human specific effects. This research will advance basic understanding of host-microbe reciprocal interactions in homeostasis and chronic inflammation. The knowledge gained will enable the development of targeted therapeutic strategies aimed at restoring balance and ameliorating the conditions that arise when this delicate equilibrium is disrupted.

Keywords: autoimmunity diseases,inflammation,lachnospiraceae,flaggelin,mucosal homeostasis
Diving into Data Diversity for Fair and Robust Natural Language Processing (DataDivers)

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: Netherlands
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): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Despite great progress in the field of Natural Language Processing (NLP), the field is still struggling to ensure the robustness and fairness of models. So far, NLP has prioritized data size over data quality. Yet there is growing evidence suggesting that the diversity of data, a key dimension of data quality, is crucial for fair and robust NLP models. Many researchers are therefore trying to create more diverse datasets, but there is no clear path for them to follow. Even the fundamental question “How can we measure the diversity of a dataset?” is currently wide open. It is both surprising and concerning that we still lack the tools and theoretical insights to understand, improve, and leverage data diversity in NLP. DataDivers will 1) develop the first ever framework to measure data diversity in NLP datasets; 2) investigate how data diversity impacts NLP model behavior; and 3) develop novel approaches that harness data diversity for fairer and more robust NLP models. I operationally define the diversity of a text collection as the variability of texts along specific dimensions (e.g., semantic, lexical, and sociolinguistic). Sociolinguistic diversity in particular, is an overlooked but crucial dimension, which I am committed to addressing. DataDivers will break new ground by taking a comprehensive view of data diversity, which is urgently needed for robust and fair NLP. Its approach will be both theoretical and empirical. It will combine insights from disciplines that have developed methodologies to quantify data diversity with rigorous empirical experimentation. DataDivers will take a unique view on data diversity: measuring it at the dataset level, and across contexts for individual features. Finally, DataDivers will use its framework to develop diversity-informed data collection and model training methods. DataDivers’ results will impact the full NLP development pipeline—from data collection to evaluation—and open up a new, urgently needed, area of research.

Keywords: data centered nlp,computational sociolinguistics,robust nlp,fair nlp,robustness,fairness,variation
Crop Responsive Greenhouse Agrivoltaics System with CO2 Enrichment for Higher Yields (REGACE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Innovation actions
Countries involved: Italy,Greece,Germany,Israel,Austria,Belgium
Call: Novel Agro-Photovoltaic systems (HORIZON-CL5-2022-D3-01, 2022)
Start date: 2023-02-01
End date: 2026-01-31
Duration (months): 36.0
Total project cost (EUR): 5754500.0
EU funding (EUR): 5330750.0
Participants: 12
Project status: SIGNED

REGACE will develop and validate a disruptive radical innovative technology that will make Agrivoltaics a major contributor to the EU clean energy portfolio. The technology is highly competitive compared to other solutions, because it fully addresses the desired destination impact of clear affordable energy with a projected installed cost for customer of €600 per kilowatt compared to €880 for ground based Photovoltaic fields. Furthermore, the system demonstrated in this project is also cost effective in areas with less sunshine, which currently are outside areas for which Agrivoltaics could be considered. The core technology is a responsive tracking system mounted in the greenhouse driven by a PLC controller that changes the angle of the tracking system according to the plants’ needs. We will test a system using CO2 enrichment as a means to increase electricity production in low light conditions by increasing the angle of incidence of the bifacial panels in the tracking system. The tracking system is hung with a few screws from the supports of the greenhouse, removing the need for wind-proof supports, reducing the price per installed kilowatt. Thus, this technology allows not only for the dual use of land, but also for the dual use of infrastructure. The design of the technology also leads to reduced construction and maintenance costs, duration of execution, and moreover through reduction of CO2 emissions. In addition to the economic impact, this will also lead to significant positive effect on ecological-environmental sustainability and reduced ecological foot-print through its life-span maintenance and operation. It will also lead to the diversification of the energy producing market with small holding greenhouse owners playing a significant part in the market. The technology will be tested in operational industrial environments in six locations with different greenhouse types and crops.

Keywords: greenhouse agrivoltaics crop responsive co2 enrichment
FibRestoration - Novel specialized probiotics for restoring a healthy fiber-degrading microbiome (FibRestoration)

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: Israel
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2023-01-01
End date: 2025-06-30
Duration (months): 30.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Dietary fiber is well-recognized as beneficial to gut microbiome and has repercussions on human health. Consequently, in recent years, alternative dietary lifestyles favoring the consumption of high amounts of dietary fibers have been proposed. In order to avoid digestive discomfort associated with the increased intake of dietary fiber, we propose to develop probiotics that will target cellulose, the main component of dietary fiber. Indeed, cellulose-degrading bacteria are absent both in gut microbiomes of most human populations and in existing probiotics. During our proposed project, we will isolate unique fiber-degrading bacterium and restore it in the human microbiome via administration of probiotics. Thus, our products will comprise this bacterium either alone or in combination with other fiber-degrading strains and will augment the fiber-degrading potential of the human gut microbiome with concomitant implications in human health. Such probiotics will address the majority of global human populations and will constitute a niche in the global probiotics market, which is projected to further increase in the next decade.
Sustainable and Collaborative Research Information for Bibliodiverse Ecosystems: A Transnational Study (SCRiBe)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Ireland
Call: ERC CONSOLIDATOR GRANTS (ERC-2024-COG, 2024)
Start date: 2025-06-01
End date: 2030-05-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

This project aims to understand the conceptualisation of ‘open’ in the open access movement and the development of open research infrastructure from a transnational perspective by identifying boundaries and constraints that hinder the growth of bibliodiversity in three different geographical regions. Its objectives are to shed light on an overlooked research area in knowledge production: the relationship between standards, geopolitics and transnational knowledge flows by examining the antithesis of openness: boundaries, censorship, and regulations that enforce closures and blockades. WP1 explores and develops the conceptual and methodological dimensions in understanding openness and related concepts, as well as methodological approaches regarding knowledge flows and information boundaries. WP2 examines the inception and development of open research infrastructure, SciELO and African Journal Online (AJOL), both of which have distinct characteristics and follow different timelines and trajectories. WP3 investigates the current development of open research infrastructure in Europe, with a specific focus on standards and standardisation and their potential implications on regionalism, internationalism and globalisation. Following the practices of laboratory studies, the study will gain in-depth understanding by rich description and co-construction of meanings in the research process. In sum, the project will provide novel theoretical and methodological perspectives and unique empirical findings that understand the global inequities of knowledge production with an ultimate goal of fostering sustainable, collaborative, equitable, and bibliodiverse research ecosystems.

Keywords: bibliodiversity epistemic diversity open access open research scholarly communication standards and standardization modernization globalization
Unraveling tipping dynamics of marine biogeochemistry from past climate transitions (BGCTip)

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: Switzerland
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-05-01
End date: 2031-04-30
Duration (months): 60.0
Total project cost (EUR): 1498700.0
EU funding (EUR): 1498700.0
Participants: 1
Project status: SIGNED

CO2 emissions are the primary driver of anthropogenic climate change, and it is thus vital to enhance our understanding of the global carbon cycle, its changes, internal processes, and feedbacks with Earth’s climate system. Climate change further threatens to push the Earth system across multiple tipping points, which could have significant, but yet unconstrained impacts on the carbon cycle. BGCTip will address these challenges by investigating the potentially cascading interactions of climate and ocean tipping points with marine biogeochemical systems that drive CO2-uptake. By leveraging the extensive information of Earth’s past abrupt climatic events of the last glacial cycle, BGCTip aims to decipher the triggers and feedback mechanisms that govern the complex relationship between climate and the carbon cycle. This will be achieved through a novel combination of methods that link proxy reconstructions with biogeochemical isotope modeling. An intermediate complexity Earth system model will be used and further developed capable of transiently simulating these past climate transitions. New isotope proxies (δ15N, δ30Si, δ138Ba, and δ60Ni), that trace various aspects of marine biogeochemistry, will be implemented in the model. For the first time, these new biogeochemical proxies will be employed together with ocean circulation proxies in a coherent model framework constrained by global compilations of proxy reconstructions. This will provide a comprehensive understanding of the impacts of past climate tipping on the biological pump and oceanic carbon uptake. Exploiting these paleo-constraints, the impact of tipping points will then be systematically assessed across the full range of available future climate scenarios.

Keywords: paleoceanography future climate scenarios marine biogeochemistry climate tipping points model development
Advancing ultrasound-assisted biopolymeric nanofillers from seaweed biomass as sustainable resources for the development of nanofood systems (SonoNano)

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: Chemistry
Countries involved: Ireland,Greece
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-08-01
End date: 2027-07-31
Duration (months): 24.0
Total project cost (EUR): 268568.64
EU funding (EUR): 268568.64
Participants: 2
Project status: SIGNED

The global food industry is shifting towards sustainability due to environmental concerns, resource depletion, and increasing demand for functional foods, driven by a projected population increase to nearly 10 billion by 2050. In this context, seaweed biomass is an abundant source of seaweed-derived bioactives (SDBs) such as proteins (SDP), starches (SDS), and polyphenols (SDPPs), which are appealing renewable bioresources for sustainable food systems. Initially, we aim to establish high-throughput screening of seaweed bioactives (SDP, SDS, and SDPPs) and estimate their therapeutic potential (WP1). However, there is still a lack of understanding regarding the nature and chemistry of SDP, SDS, and SDPPs, which hinders their incorporation into food matrices. The objective is to determine which combination of SDP, SDS, and SDPPs is important for nanofood systems and to understand their implications on the development and processing practices in the food industry. Secondly, we aim to be the first to establish a clear link between the structures of encapsulating raw materials (SDP and SDS) and the functionality of their complexes (WP2). Then, the delivery properties of ultrasound-assisted SDP-SDS complex nanoparticles will be investigated with SDPPs as a core material, and the effect of the formation mechanisms of biopolymeric nanofillers on their functionalities will be analysed (WP3). Finally, the therapeutic potential of SDBs-stabilised biopolymeric nanofillers for sustainable nanofood production with improved functionalities, bioaccessibility, and nutritional properties will be explored (WP4). The proposed project will eventually provide a novel pathway for European food product manufacturers to develop nutrient-packed nanofood products. Overall, efforts are being made to improve community health and well-being by utilising underutilised resources for nutritious food ingredients and economic circulation and advancing the goal of “sustainable production of food.”

Keywords: seaweed biomass ultrasonication seaweed derived bioactives biopolymeric nanofillers functional nanofood systems sustainability
Open Superior Efficient Solar Atmosphere Model Extension (Open SESAME)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Universe Sciences
Panel description: Astro -physics/ -chemistry/ -biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Belgium
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-09-01
End date: 2029-08-31
Duration (months): 60.0
Total project cost (EUR): 2498230.0
EU funding (EUR): 2498230.0
Participants: 1
Project status: SIGNED

The goal is to develop a time evolving model for the entire solar atmosphere, including the chromosphere and transition region, based on a multi-fluid description. At present, models are steady, rely on a single-fluid description and include only the corona due to computational challenges. We plan to use time-evolving ion-neutral and ion-neutral-electron models. The multi-fluid approach will enable us to describe the intricate physics in the partially ionized chromosphere and quantize the transfer of momentum and energy between the atmospheric layers. The questions where the solar wind originates and solar flares and coronal mass ejections are driven have both fundamental scientific importance and substantial socio-economic impact. Indeed, the solar atmospheric model is the crucial missing link in the Sun-to-Earth model chain to predict the arrival and impact of CMEs at Earth. What makes this goal now possible is the combination of our implicit solver with a high-order flux-reconstruction (FR) method. The implicit solver avoids the numerical instabilities that lead to strict time step limitations on explicit schemes. The high-order FR method enables high-fidelity simulations on very coarse grids even in zones of high gradients. We will start from this new development and introduce three critical innovations. First, we will combine high-order FR with physics-based r-adaptive (moving) unstructured grids redistributing grid points to regions with high gradients. Second, we will implement CPU-GPU algorithms for the new heterogeneous supercomputers advanced by HPC-Europa. Third, we will implement AI generated magnetograms to make the model respond to the time-varying photospheric magnetic field which is crucial for understanding important properties. We will thus develop a first-in-its-kind high-order GPU-enabled 3D time-accurate solver for multi-fluid plasmas. If successful, we will have the most advanced solar atmosphere model implemented in an operational environment.

Keywords: high order methods,gpu enabled,implicit solver