Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
ForestFireAI: Large-scale Prediction of Forest Fire Drivers from Space Using Multi-source Remote Sensing Data and Artificial Intelligence Techniques (ForestFireAI)

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: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-01-06
End date: 2028-01-05
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SUSPENDED

With the increasing frequency and intensity of forest fires, it is essential to better understand the drivers causing them. Identifying forest fire drivers offer valuable insights that can enhance our comprehension of forest fire variability and guide targeted regional risk management strategies. Recent advancements in satellite remote sensing and machine learning data processing techniques have significantly improved fire monitoring. However, while these efforts have resulted in accurate fire maps, they do not provide information about the underlying causes. Consequently, the full potential of Earth Observation data, along with advanced data processing and modelling techniques for studying the forest fire drivers, remains largely unexplored. The ForestFireAI project aims to leverage the availability of multi-source and multi-temporal Earth Observation data to propose new AI algorithms for estimating forest fire drivers. This includes creating a benchmark dataset of forest fire drivers in Europe, which will serve as a ground truth data for evaluating developed advanced AI algorithms. Moreover, the project will focus on developing AI techniques to improve the spatial resolution of data, use multi-source data and their temporal resolution, and establish efficient processing schemes for detecting forest fire drivers, such as human activities, high temperature, fuel, and dryness. To ensure the reliability, efficiency, and scalability of the developed algorithms, uncertainty-aware, explainable, and hybrid physical/data-driven techniques will be incorporated. Through this multidisciplinary approach—bringing together expertise in remote sensing, computer science, and forest ecology—ForestFireAI will take important steps toward developing the algorithms necessary for better understanding forest fire drivers. This knowledge could contribute in reducing the risk of extreme forest fires and will accelerate the advancement of Dr Benyamin Hosseiny’s research.

Keywords: wildfire,forest,remote sensing,earth observation,satellite imagery,multi source data,time series data,machine learning,deep learning,in situ data,classification
Inequality and Integration (IneQint)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Sweden,United Kingdom
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2024-10-01
End date: 2029-09-30
Duration (months): 60.0
Total project cost (EUR): 3459992.75
EU funding (EUR): 3459992.75
Participants: 2
Project status: SIGNED

Socioeconomic inequality has become increasingly intertwined with immigrant status in many Western European societies. One important question is whether and how socioeconomic disadvantages among immigrant parents hamper the integration of their children. This project focuses on inequality and spatial segregation, and how they affect the children of immigrants in terms of their wellbeing and structural, social and cultural integration. We ask how integration in different dimensions comes to be, analyzing the internal workings of schools, including grading, ability grouping, and social relations among classmates. The complex nature of the questions we address requires outstanding and up-to-date data: one of the major contributions of this project is to collect such data. This will be achieved via a longitudinal survey conducted among 5000 pupils in 100 representative Swedish comprehensive schools, coupled with parent, register and digital data. The project also offers excellent opportunities to assess changes in inequality and integration over the last 15 years through comparisons with pre-existing data. Sweden provides a particularly interesting case due to its high immigration (particularly from the Middle East and Africa’s horn), increasing income inequality, growing ethnic and socioeconomic school segregation, and rapidly decreasing support for immigration. The data will make it possible to study changes in inter-ethnic social relations, attitudes, values, religiosity and subjective wellbeing over time – all within the context of the structural opportunities set by inequality and segregation. The study also obtains information (from teachers, headmasters and registers) on school organization, resources, and climate, producing a comprehensive picture of the school setting. In this sense, it is more than a survey conducted in schools; it is a survey of schools, the pupils that populate them, and the resources and milieu they are embedded in.

Keywords: inequality,structural integration,social integration,cultural integration,intergroup relations,wellbeing,youth,segregation,immigration,stratification,education
New isotope tracers of rocky planet forming environments (NEWROCK)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Denmark
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-08-01
End date: 2029-07-31
Duration (months): 60.0
Total project cost (EUR): 1970878.0
EU funding (EUR): 1970878.0
Participants: 1
Project status: SIGNED

The plethora of Earth-like exoplanets indicate that planet-formation is efficient, highlighting the need for unravelling the pathways to forming habitable worlds. The new planet-formation paradigm, i.e. pebble accretion, suggests that mm-to-cm sized pebbles are the main planetary building blocks as opposed to colliding proto-planetary bodies. Bulk samples of meteorites from asteroids, leftovers from the early Solar System, have been long used to infer the nature of Earth’s precursor material. However, pebble accretion predicts that pebble-like components of primitive chondrite meteorites provide a more accurate record of the precursor material to terrestrial planets, including the source of volatiles critical to life. The most abundant chondrite constituents are mm-sized chondrules hypothesized to be the pebbles driving planet formation. Chondrules formed within 5 Myr of the Solar System thus represent time-sequenced samples that can probe the nature of the matter, including its environment(s), that accreted to rocky planets. We will elucidate the origin and history of the matter precursor to terrestrial planets, by studying chondrules, matrix and refractory components in chondrites. This information is key for understanding the initial conditions allowing the formation of Earth-like planets. Combining isotope fingerprinting, age-dating and petrology, our data will be obtained using state-of-the-art techniques, including next generation collision cell and thermal ionization mass spectrometry as well as high-resolution imaging. We will identify the precursor matter to terrestrial planets and probe how its composition varied in space and time, identify the disk environment where the primordial population of planetesimals seeds formed and evaluate the role of thermal processing and outward recycling in modifying inner disk matter. With these goals, including high-risk high-gain ventures, we are in a strong position to make step change discoveries in cosmochemistry.

Keywords: meteorites,chondrules,isotopes,nucleosynthetic anomalies,chronometry
Epithelial Exchange Surfaces – From organizing principles to novel culture models of the gatekeepers of the body (SurfEx)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Doctoral Networks
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Netherlands,Spain,France,Sweden,Portugal,Italy,United Kingdom,Germany,United States
Call: MSCA Doctoral Networks 2022 (HORIZON-MSCA-2022-DN-01, 2022)
Start date: 2023-12-01
End date: 2027-11-30
Duration (months): 48.0
Total project cost (EUR): 2827578.86
EU funding (EUR): 2723263.2
Participants: 18
Project status: SIGNED

Epithelia are sheets of interconnected cells that cover the surfaces of our body and internal organs. They form physical barriers that protect our body from external insults and control the exchange of materials with the outside. To perform these functions, epithelial cells establish a specialized apical (top) exchange surface that faces the exterior. Defects in epithelial functioning contribute to many diseases, such as cystic kidney diseases, inflammatory bowel disease, and susceptibility to infection. Moreover, loss of epithelial organization is a hallmark of invasive tumours. SurfEx will tackle two urgent interlinked problems that hamper progress in combatting epithelial diseases. 1) the need for highly-skilled scientists who can bridge basic research in small model organisms and cell culture with translational research using advanced 3D culture models that mimic the organization and physiology of human epithelia, and 2) the need to improve our understanding how the apical exchange surface is formed and functions in health and disease. SurfEx brings together academic and private partners from 8 European countries to establish a multidisciplinary, intersectoral training and research programme that will study how epithelial cells form a functional apical exchange surface. SurfEx unites fields ranging from genetics to materials science, microfabrication, and advanced 3D cell culture techniques. This provides an opportunity to train doctoral candidates in a unique combination of experimental approaches and methods, including breakthrough organoid and organ-on-chip technologies. Tight collaboration with non-academic partners will strengthen the technological base of different projects and provides the fellows with insights into the translation potential of the studies and career development opportunities in biomedical industry. Extensive training in transferable skills will round off the training of the fellows into creative, critical, and autonomous professionals.

Keywords: cell polarity epithelia organ on chip organoid c elegans drosophila
INNOVATIVE DECISION-MAKING TOOL FOR THE FEDERATED MONITORING, RE-DESIGN AND CONSERVATION OF MULTIMODAL TRANSPORT INFRASTRUCTURES (MITHOS)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Safe, Resilient Transport and Smart Mobility services for passengers and goods
Action type: Innovation actions
Countries involved: Spain,Germany,Greece,Austria,Czechia,France
Call: Improved transport infrastructure performance – Innovative digital tools and solutions to monitor and improve the management and operation of transport infrastructure (HORIZON-CL5-2024-D6-01, 2024)
Start date: 2025-08-01
End date: 2029-07-31
Duration (months): 48.0
Total project cost (EUR): 5395320.0
EU funding (EUR): 5000201.25
Participants: 14
Project status: SIGNED

MITHOS project aims to transform multimodal transport infrastructure management through an innovative AI-driven Decision Support System (DSS). Multimodal transport is crucial to advance safer, more resilient and sustainable mobility solutions for both passengers and freight. However, currently the sector faces significant challenges, including inefficient interconnections between transport modes, high operational costs, and fragmented data management. Existing tools often focus narrowly on specific modes with lack of integration, leading to suboptimal decision-making processes and they do not fulfil with FAIR principles on their data management processes. MITHOS addresses these mayor issues by developing a comprehensive and cloud-based platform that centralizes diverse data sources into a unified and intelligent Federated Smart Data (FSD) module, allowing real-time data collection and integration, which is connected to an AI-based DSS for multi-criteria optimization with an interactive HMI visualization. MITHOS framework includes a Bundle of Fundamental Tools (BFT) for enhanced simulation on multimodal infrastructure assessment and as well as to an Impact Assessment module/SAAS for evaluating the overall benefits and compliance of MITHOS´ proposed measures. MITHOS will be implemented in 4 diverse pilot sites: Bilbao, Hamburg, Vienna/Linz, and Thessaloniki in order to validate its effectiveness across different multimodal contexts/coexistence and infrastructure types. By involving real end-users in the development of this project, MITHOS aims to become the future leading global multimodal traffic infrastructure management platform, promoting safer, more efficient and sustainable transport both inside (first) and outside (second) Europe.

Keywords: multimodal infrastructure,federated data management,ai based digital tools,accesibility,safety
A magnetocaloric cooling device that employs triangular-microchannel active regenerators (MicroChMag)

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: Germany
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-01-01
End date: 2024-12-31
Duration (months): 24.0
Total project cost (EUR): 270981.94
EU funding (EUR): 189687.36
Participants: 3
Project status: CLOSED

Magnetocaloric materials are energy efficient and have zero global-warming potential. We will build a high-efficiency magnetocaloric cooling device with aligned, triangular-microchannel, active magnetic regenerators (AMRs). The relatively low practical efficiencies of state-of-the-art MCDs result from multi-scale energy transfer barriers, which involve large irreversibilities throughout different boundaries regarding magnetic materials, AMR geometries, hydraulic system, and magnetic circuits. This work will characterize and optimize the cross-sectorial parameters covering MCM properties, microchannel structures, AMR housing dimensions, control logic, as well as integration and economic aspects of the whole device. The experimental tests, multi-physics and thermal-economic models will be closely integrated such that the data from initial experiments with benchmark MCMs are used as the basis for the model development. The models will then be applied for optimal design of AMR microchannels, transition temperature arrangement and housing configurations for the high-efficiency MCD. Abundant experimental tests will be performed to promote the control strategy synergizing the parallel microchannel AMRs. The project will be carried out in collaboration with German academia and industry. The collaboration helps to ensure the potential of the project results, and that the findings of the project may be transferred to industry for further adaptation. The research outcomes of the project will present significant benefits to both academia and industry. Moreover, by contributing to the design of more efficient magnetocaloric heat pump systems with the optimized AMR geometries and control strategies, and thus helping to attain socioeconomic and environmental targets in the context of the Danish 2050 targets and the EU 2030 targets focused on 32.5% improvement in energy efficiency.

Keywords: refrigeration,efficiency,f gas regulation,green cooling,multi scale simulation,magnetocaloric,magnetic phase transitions,heat pumps
Quantifying the landscape of fear: Collaborative camera trap networks to assess wildlife responses to activities of humans and free-ranging domestic species across Europe (WildEuro)

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: Germany
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-09-04
End date: 2025-09-03
Duration (months): 24.0
Total project cost (EUR): 189687.36
EU funding (EUR): 189687.36
Participants: 1
Project status: SIGNED

Standardized, large-scale monitoring programs are critical to track progress toward the biodiversity and sustainable goals identified by several international initiatives, including the European Green Deal. Yet, these programs are hard to establish, often because of limited resources. International collaborations centered on data and knowledge sharing can fill this gap. The future fellow will gather and collate camera trap data collected across Europe in the past decade to quantify the impact on wildlife of the presence of humans and their domestic species in natural environments, at a fine temporal scale, and for the first time, across Europe. The mere presence of human and free-ranging dogs, cats, and livestock in natural environments might be detrimental to wildlife populations, with relatively unknown consequences on species’ persistence. This action aims at 1. quantifying the effects of human presence on mammals’ occupancy and activity; 2. assessing distribution and co-occurrence of free-ranging domestic animals and wildlife populations; 3. quantifying the effects of free-ranging domestic cats on urban and suburban mammal and bird communities. Along with leveraging publicly shared datasets, this action will build on and cement emerging European camera trap collaborations, and, thus, help establish the long-term, large-scale monitoring program that is paramount to tracking the status of terrestrial communities across Europe and informing European conservation policies. The future fellow will be hosted at the Max Planck Institute of Animal Behavior, a leading actor in the study of animal behavior and a strong promotor of European large-scale camera trap efforts. The future supervisor, Prof. Martin Wikelski, is a pioneer in leveraging international collaborations and technology to advance our understanding of animal decision-making processes across large scales. This action will greatly advance the fellow's expertise and establish her as an independent researcher.

Keywords: camera trapping human wildlife interactions eco tourism disease spillover urban ecology collaborative networks free ranging domestic species
Battery swapping technologies and services for eTrucks to decarbonise Europe’s heavy road freight sector (AkkuSwap)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Germany
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 18.0
Total project cost (EUR): 2499999.0
EU funding (EUR): 2499999.0
Participants: 1
Project status: SIGNED

The AkkuSwap proposal describes a plan to transform heavy road freight transport in Europe using innovative battery swap technology. The core idea is to provide battery swap stations for electric trucks to complement high-power charging technology, enabling faster and more efficient decarbonisation of road freight transport. The EU has set ambitious targets for reducing CO2 emissions from heavy goods vehicles, so battery electric vehicles (BEVs) are crucial to achieving these goals. AkkuSwap aims to solve the chicken and egg problem of BEV adoption by providing a robust battery swap infrastructure that is faster and more efficient than traditional charging methods. AkkuSwap's technology enables the decoupling of battery charging from BEV operation, allowing battery capacity to be used for grid stabilisation and other applications. The proposal emphasises the advantages of battery swap over high-power charging, such as reduced grid load, reduced space requirements and greater flexibility in logistics planning. The proposal outlines the competitive landscape and points out that battery swap technology is a complementary and necessary solution while a high-power charging infrastructure is being built across Europe. The market potential is estimated at 25-30% of the total market for electric charging infrastructure, with revenue forecasts of €10-17bn by 2030. By providing a sustainable and efficient alternative, battery swap is expected to make a significant contribution to the EU's emission reduction targets. The AkkuSwap-technology supports a genuine circular economy by separating the life cycle of batteries from that of vehicles, enabling better recycling and reuse. AkkuSwap is applying for €2.5m in the initial phase to develop its technology to TRL 8 and €15m to launch and expand to TRL 9. The funds will be used for further development, marketing and roll-out of the battery swap stations across Europe. The intention is to spin off AkkuSwap from IBAR as a start-up.

Keywords: energy management,big data,cloud computing,network infrastructures,vehicle technology mobility