Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Forecasting and understanding the seIsmic cycle through b-value (FARIA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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 ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-02-01
End date: 2031-01-31
Duration (months): 60.0
Total project cost (EUR): 2180831.0
EU funding (EUR): 2180831.0
Participants: 1
Project status: SIGNED

Seismology is a branch of science with many open questions, and predicting earthquakes is still a utopia. We know earthquakes interact with each other by changing the state of stress in their surroundings. Strong earthquakes are, for example, followed by countless smaller events, a posteriori called aftershocks, whose number decays with time. We have shown that aftershock sequences are systematically associated with changes in the average earthquake size distribution, an increase in the so-called b-value, unless a second large mainshock is still coming, in which case the b-value decreases. This exciting finding allows the use of the b-value for real-time discrimination between foreshocks and aftershocks, answering the most asked question following a moderate/big quake: Was this the mainshock or a bigger event has yet to come? The observation also aligns with the concept that the b-value can be used as an indirect stress meter in the earth’s crust. Building on these findings, I propose here now to develop and test a general model of the evolution of the b-value through the seismic cycle, building on the following hypothesis: 1) a stable background or gradual decreasing b-value during inter-seismic times, 2) occasionally a pre-mainshock decrease, 3) an increase after the mainshock and 4) recovery to the background value. According to my hypothesis, monitoring b-values in real-time allows us to understand and monitor for the first where a fault is in the seismic cycle. This would represent a major breakthrough in Earth science, with profound implications for understanding earthquake processes, seismic hazard assessment and risk mitigation. To achieve this ambitious goal, FARIA comprises a set of closely coordinated activities in data analytics, computational modeling, laboratory experiments, and formal testing. If successful, FARIA will represent transformative progress in earthquake predictability.

Keywords: seismic cycle,b value,forecasting,seismic sequence,mainshock,foreshock,aftershock,real time discrimination,earthquake forecasting
Spin imaging of two-dimensional crystals and van der Waals heterostructures via nitrogen-vacancy magnetometry with light (SPIN-2D-LIGHT)

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: Physics
Countries involved: Netherlands
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-06-01
End date: 2025-05-31
Duration (months): 24.0
Total project cost (EUR): 187624.32
EU funding (EUR): 187624.32
Participants: 1
Project status: CLOSED

Two-dimensional (2D) magnets and superconductors have opened the door to explore new physical scenarios that were not available until just very recently. Moreover, new emergent properties can appear when different 2D crystals are assembled forming van der Waals heterostructures (vdWHs). For example, some scientific open-questions in this field are i) the sensing and control of 2D magnons, ii) the appearance of fractionalized excitacions in 2D quantum spin liquids (QSL) or iii) the emergence of topological superconductivity in ferromagnet/superconductor vdWHs. In all the previous cases, the spin is the key element, being necessary to detect it with high spatial resolution and sensitivity. This is a current challenge for most of the common experimental characterization techniques as heat capacity, inelastic neutron scattering or muon spectroscopy, just to cite some, due to the few number of atoms in a 2D crystal. As a promising experimental tool, nitrogen-vacancy (NV) centers in diamond have shown to be ideal magnetic probes at the nanoscale. In this project, we propose to explore strongly correlated phenomena in the 2D limit by imaging the spin in 2D magnets (as in CrSBr) or 2D frustrated magnets (in the QSL 1T-TaS2) as well as van der Waals heterostructures (as superconducting NbSe2 in proximity to the metamagnet CrSBr) by using NV magnetometry. It combines in a win-to-win scenario my expertise for dealing with 2D crystals and vdWHs under inert atmosphere conditions together with the knowledge and currently available equipment at TU Delft offered by prof. van der Sar and prof. van der Zant on NV magnetometry and correlated materials. The successful completion of the proposed experiments will generate ground breaking results in highly correlated systems (QSLs, 2D superconductors, 2D magnets and vdWHs) that will advance the field and bring new cutting edge field directions of potential interest for spintronics and quantum technologies.

Keywords: 2d materials,van der waals heterostructures,magnetism,superconductivity,nitrogen vacancy magnetometry
How Hands Help Us Hear (HearingHands)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 1499988.0
EU funding (EUR): 1499988.0
Participants: 1
Project status: SIGNED

Human communication in face-to-face conversations is inherently multimodal, combining spoken language with a plethora of multimodal cues including hand gestures. Although most of our understanding of human language comes from unimodal research, the multimodal literature suggests that hand gestures are produced in close synchrony to speech prosody, aligning for instance with stressed syllables in free-stress languages like English. Furthermore, prosody plays a vital role in spoken word recognition in many languages, influencing core cognitive processes involved in speech perception, such as lexical activation, segmentation, and recognition. Consequently, viewing gestural timing as an audiovisual prosody cue raises the possibility that the temporal alignment of hand gestures to speech directly influences what we hear (e.g., distinguishing OBject vs. obJECT). However, research to date has largely overlooked the functional contribution of gestural timing to human communication. Therefore, HearingHands aims to uncover how gesture-speech coupling contributes to audiovisual communication in human interaction. Its objectives are [WP1] to chart the PREVALENCE of the use of gesture-speech coupling as a multimodal prominence cue in production and perception across a typologically diverse set of languages; [WP2] to capture the VARIABILITY in production and perception of gesture-speech coupling in both neurotypical and atypical populations; [WP3] to determine the CONSTRAINTS that govern gestural timing effects in more naturalistic communicative settings. These objectives will be achieved through cross-linguistic comparisons of gesture-speech production and perception, neuroimaging of multimodal integration in autistic and neurotypical individuals, and psychoacoustic tests of gestural timing effects employing eye-tracking and virtual reality. Thus, HearingHands has the potential to revolutionize models of multimodal human communication, delineating how hands help us hear.

Keywords: gesture speech coupling,multisensory integration,audiovisual prosody,cross linguistic comparison,magnetoencephalography
Digital Twin-sustained 7D for the complex interplay between the climate and biodiversity crises including social-economic factors (TerraTwin)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Adaptation to climate change
Destination: Adaptation to climate change
Action type: Research and Innovation actions
Countries involved: Luxembourg,Spain,Greece,Italy,Ireland,Cyprus,Norway,Estonia,Poland,Belgium
Call: Research the complex interplay between the climate and biodiversity crises towards more systemic approaches and solutions (HORIZON-MISS-2024-CLIMA-01, 2024)
Start date: 2026-01-01
End date: 2028-12-31
Duration (months): 36.0
Total project cost (EUR): 3162593.13
EU funding (EUR): 3162593.13
Participants: 14
Project status: SIGNED

TerraTwin project aims to develop a holistic DTE (Digital Twin of Ecosystem) tool, to better understand the complex interplay between climate change and marine and terrestrial biodiversity. This will be accomplished by leveraging existing multiparametric data from various sources, for marine, land, soil and atmospheric biodiversity, which will be used to feed and train the DTE, which in turn will offer innovative features, such as data analytics anomaly detection, predictive capabilities, feedback loops, policy recommendations and connection with other tools and databases. The following advanced solutions will be integrated to the DTE, to meet its goals: a) Advanced data harmonization to unify and standardize different types of collected biological and environmental data, b) Big data to handle diverse types of datasets, c) Blockchain technology to enhance the functionality, security, traceability and trustworthiness, d) Gathering and harmonizing of Historical and near real time data from existing data bases and on the field activities for climate and biodiversity, d) AI and machine learning, an “in-silico” approach will be enforced to recompile all available physiological information as maps for different key or iconic species, in order to match the different physiological scenarios with changing environmental conditions as mechanism to predict biodiversity changes, as predicted for the different areas by the International, panel for the Climate Change (IPCC), e) DTE integration GUI, f) Simulation for various climatic scenarios based on the selection of areas and environmental data, g) Socio-economic modelling integrating environmental data with human activity patterns, providing a holistic view of how climate and biodiversity changes impact communities and economies and h) Environment-species mapping modelling links species distribution with environmental conditions, enabling the identification of potential habitats and the assessment of biodiversity resilience.

Keywords: digital twin of the ecosystem,historical data,data modelling,ai,environmental species mapping
Safe bio-based and biodegradable IN-SOIL solutions for circular and sustainable crop production (INSOIL)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Public-private partnerships
Destination: Circular Bio-based Europe
Action type: Innovation actions
Partnership: CBE (JU-JTI)
Countries involved: Spain,Italy,Germany,Croatia,Sweden,Belgium,Finland,Norway,France
Call: Bio-based materials and products for biodegradable in-soil applications (HORIZON-JU-CBE-2024, 2024)
Start date: 2025-06-01
End date: 2029-05-31
Duration (months): 48.0
Total project cost (EUR): 8120540.25
EU funding (EUR): 6577684.8
Participants: 16
Project status: SIGNED

Agricultural plastics used in crop production often remain in the soil after application. Persistent plastic accumulation leads to the release of microplastics and toxic substances causing soil pollution and threatening ecosystems. Single-use plastics are of particular concern, as they are impractical to recover. To mitigate these impacts, the EU aims by 2030 to 1) reduce by 20% fossil-based plastic production and 2) cut by 30% microplastic releases into the environment. In response, bio-based alternatives are emerging, as they can safely biodegrade in-soil. However, further development is needed to produce biodegradable technologies that are high-performing and cost-effective. INSOIL tackles agricultural plastic pollution by developing three families of fully bio-based, safe in-soil biodegradable products in the form of mulch films, plant guards and controlled-release fertilisers (CRFs), in order to replace widespread single-use plastics in crop production. These three product families will be based on sustainable PHA combined with tailored additives (MFCs, modified lignins), enabling for programmed biodegradation suited to specific climates and crops. They will be enriched with active bioproducts (organic NPK, biostimulants, bio-based PPPs) to enhance their functionality, value and adoption. INSOIL agriproducts will be field validated with end users (TRL8) across relevant vegetables and fruit trees in Southern and Northern Europe. SSbD experts will ensure compliance, policy recommendation will advance relevant regulations and standards, and circular business models will secure market acceptance. By 2035, INSOIL agriproduct commercialisation will reduce (micro)plastic release (5,820 tonnes) and agrochemical use (4,000 tonnes), cutting CO2 emissions by 16,000 tonnes, while generating €17.4 M in savings for farmers. INSOIL will thus contribute to a secure food supply and boost the sustainability, circularity, autonomy and competitiveness of EU bio-based value chains.

Keywords: agricultural plastics,soil pollution,agri products,agrochemicals,biopolymers,phas,mulch films,plant guards,crfs,safe biodegradability,in soil,ssbd,standards,c neutral,circular bioeconomy
Bergen research and training program for future AI leaders across the disciplines (LEAD AI)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Norway,Spain,Canada,Denmark
Call: MSCA COFUND 2022 (HORIZON-MSCA-2022-COFUND-01, 2022)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 2865600.0
EU funding (EUR): 2865600.0
Participants: 18
Project status: SIGNED

LEAD AI at UiB will provide an exceptional inter- and multidisciplinary research and training programme for 19 experienced researchers (ERs) who are versed in or curious about AI. The recruitment process will be inclusive, transparent and merit-based, and aims to attract excellent researchers locally and internationally. The researchers will be employed in postdoctoral positions for 3-4 years for both incoming and outgoing mobility. In LEAD AI, UiB will exploit its unique cross-disciplinary strengths in AI research, providing ERs in fields as diverse as computer science, medicine, law, psychology, information science and the humanities with both disciplinary expertise and the broader knowledge of AI research that is needed to develop trustworthy and ethical AI that benefits society. The program will promote institutional transformation and pioneering research on AI subjects, while providing exceptional AI research and training opportunities, personal supervision and mentoring for postdoctoral researchers, structured skill-based training, and high-quality working conditions. The program will equip the next generation of research and society leaders with AI knowledge and skills to collaborate across disciplines, sectors and borders, while offering academic freedom, equal opportunities, and a well-connected regional AI ecosystem.
Solar Urban e-Mobility Transition (SUN-TRANS)

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: Türkiye,Portugal,Spain,Netherlands,United Kingdom,Romania,Italy
Call: PV-integrated electric mobility applications (HORIZON-CL5-2024-D3-02, 2024)
Start date: 2025-10-01
End date: 2029-09-30
Duration (months): 48.0
Total project cost (EUR): 8215270.0
EU funding (EUR): 6999101.5
Participants: 14
Project status: SIGNED

SUN-TRANS is a multi-partner, Europe-wide initiative designed to transform urban and commercial fleets by integrating Vehicle-Integrated Photovoltaics (VIPV), high-efficiency power electronics, and AI-driven fleet orchestration into electric buses and last-mile delivery vehicles. Heavy-duty vehicles and vans account for a disproportionate share of transport emissions—up to 39%—despite numbering far fewer than passenger cars. SUN-TRANS addresses this gap by developing semi-transparent, curved, and colored VIPV modules, designed for both e-bus rooftops and last-mile EVs, backed by advanced encapsulation materials that endure vibration, UV, and harsh climates. These modules pair with multiport, wide-bandgap power converters, ensuring over 98% efficiency under real-world shading and load variations. Partners will demonstrate integrated solutions in three distinct pilot sites—Izmir (Türkiye), Alba Iulia (Romania), and Bilbao (Spain)—covering diverse climates and operational demands. Through an AI-driven platform built on Siemens’s DepotFinity and EnergyIP, SUN-TRANS coordinates real-time solar charging, route optimization, and grid services like peak shaving and demand response, slashing operational costs by up to 30%. By merging cutting-edge technology with streamlined manufacturing (BOZ, MUSO), the project aims to scale VIPV adoption, lowering cycle-time overhead below 5% and meeting UNECE automotive standards for safety and reliability. Life-cycle assessments (AMBI) confirm eco-efficiency and social acceptance, while municipalities (Izmir, Alba Iulia) and Bizkaigar (Bilbao) validate real-world performance. Ultimately, SUN-TRANS delivers replicable business models (R2M) for public transport and last-mile operators, catalyzing investor interest via robust ROI data and strategic financing pathways. In doing so, SUN-TRANS advances Europe’s transition to low-carbon mobility, unlocking solar’s untapped potential in bus depots and delivery fleets

Keywords: vipv,dc dc converters,route fleet optimization
Decoding diabetic kidney disease (DECODE-DKD)

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: Germany
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-04-01
End date: 2027-03-31
Duration (months): 60.0
Total project cost (EUR): 1783319.0
EU funding (EUR): 1783319.0
Participants: 1
Project status: SIGNED

Diabetic kidney disease (DKD) is a rapidly growing worldwide health problem and represents one of the most serious threats in current medicine. DKD is the most common cause of chronic kidney disease (CKD) with 20% of DKD patients progressing to end-stage renal disease, which is associated with tremendously increased morbidity and mortality. The pathophysiology of DKD is complex, incompletely understood and the number of treatment options is low. The vision of DECODE-DKD is to utilize a patient-centric research approach to identify novel pathways and druggable targets in patients suffering from DKD. Concrete objectives are: (1) to establish a spatially resolved multi-omic landscape of human DKD; (2) to dissect and identify therapeutic pathways and signalling networks for novel drug target identification; (3) to incorporate patient-derived in-vitro models for target validation. It is envisaged that novel spatial and single-cell multi-omic technologies will generate a blueprint and predictive model of DKD. This unbiased map will serve to generate testable hypotheses with spatial and temporal coordinates at single-cell resolution. To identify disease-relevant pathways and novel drugable targets in-vitro and in-vivo genome editing approaches will be employed combined with high-throughput screens. In-vitro assays with human-derived kidney organoids will be used to screen potential compounds facilitating the development of novel therapeutics. This highly ambitious interdisciplinary proposal requires the expertise of biomedical engineers, computational biologists, biomedical researchers and physician-scientists. The generated knowledge and outcomes of DECODE-DKD will - alone and especially together - be truly transformative and provide an incremental step forward towards novel drug targets and precision medicine for the treatment of diabetic kidney disease using a systems medicine approach.

Keywords: diabetic kidney disease,functional genomics,spatial multi comics,micro fluidic engineering,crispr epigenome editing,organoids
CalSAF: Calorimetry for Sustainable Aviation Fuels – High-resolution techniques to advance hydrothermal liquefaction and hydrotreating, turning waste into biofuels (CalSAF)

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: Information Science and Engineering
Countries involved: Italy,Denmark
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-09-01
End date: 2028-08-31
Duration (months): 24.0
Total project cost (EUR): 193643.28
EU funding (EUR): 193643.28
Participants: 2
Project status: SIGNED

Wet waste and long-distance travel are unavoidable consequences of wealthier societies; unfortunately, they both contribute to climate change. Hydrothermal liquefaction (HTL) and biocrude hydrotreating (HT) can convert wet wastes into sustainable aviation fuels (SAF), but for this to become a reality, some pressing challenges need to be addressed. CalSAF is Dr. Matteo Pecchi’s career development program, designed to develop differential scanning calorimetry (DSC) methods that can provide high-resolution information on the HTL and HT process development in-situ, at a fraction of the cost of traditional methods using batch reactors and chemical analyses. Dr. Pecchi’s training is supported by an international collaboration of world-leading universities and experts in the hydrothermal field, leveraging their cutting-edge experience and equipment. This collaboration aims to facilitate his transition into an independent researcher and expert in thermochemical processes for waste valorisation, which is central to his long-term career goals. If successful, CalSAF will uncover new insights into the mechanisms and kinetics of HTL and HT, addressing key challenges that currently hinder industrial SAF production from wet waste. These challenges include the high costs and time associated with HTL screening campaigns and the lack of data for effective control to prevent clogging in HT reactors. The impact on both waste management and fuel production sectors will generate significant environmental, social, and economic benefits, including reducing emissions, decreasing pollution and health risks, and opening a potentially multi-million-euro market.

Keywords: hydrothermal liquefaction,hydrotreating,sewage sludge,waste recovery,kinetics,chemical mechanism,differential scanning calorimetry,biocrude