Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Assessing Europe's forest adaptive capacity to wildfires from a socio-ecological perspective (PYROADAPT)

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: Spain,Germany
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-01-01
End date: 2027-12-31
Duration (months): 24.0
Total project cost (EUR): 209914.56
EU funding (EUR): 209914.56
Participants: 2
Project status: SIGNED

The frequency and severity of wildfires in Europe are expected to increase as climate change intensifies, threatening essential ecosystem services provided by forests. Even regions historically not prone to wildfires, such as northern Europe, are now at risk. A critical knowledge gap exists regarding the ability of forests to adapt to wildfires (i.e., maintaining or adjusting their properties to preserve these services). Previous research has identified indicators to enhance forest adaptive capacity in Europe, but the focus on wildfires has been limited, increasing the risk of maladaptive practices. Given the ecological and socioeconomic dimensions intertwined in Europe’s forests, an integrated socio-ecological approach is essential. However, this approach has not been fully incorporated into the EU Mission on Adaptation to Climate Change, the Green Deal, or the New Forest Strategy for 2030. TOADAPT is an interdisciplinary project aiming to assess Europe’s forest adaptive capacity to wildfires through a socio-ecological lens. The project will (1) identify key forest properties and indicators for wildfire adaptation; (2) build metrics to describe how these indicators enhance adaptive capacity; and (3) quantify adaptive capacity across Europe, identifying hotspots and coldspots for guiding wildfire prevention, conservation, and management. By conducting a systematic literature review, establishing adaptation criteria, a stakeholder questionnaire, and using publicly available EU data, TOADAPT will deliver the first pan-European spatial assessment of forest adaptive capacity to wildfires. This assessment will serve as a foundational model for addressing other disturbances, such as windthrows and bark beetle infestations, aiding practitioners and policymakers in identifying priority areas for sustainable forest management and conservation. Ultimately, TOADAPT will produce valuable scientific insights to inform national, European, and global strategic forestry actions.

Keywords: social ecological systems,wildfires,forests
Digital Summit 2025 (16-18 June 2025, in Gdańsk (Poland)) (Digital Summit 2025)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Coordination and support actions
Countries involved: Poland
Call: Presidency Event 2025 (HORIZON-CL4-2024-DIGITAL-SME-EVENT-IBA, 2024)
Start date: 2025-01-01
End date: 2025-09-30
Duration (months): 9.0
Total project cost (EUR): 396250.0
EU funding (EUR): 390000.0
Participants: 1
Project status: SIGNED

The Digital Summit will be an annual event hosted by the European Commission and the Member State presiding over the Council of the European Union. It’s a forum addressing important issues of the digital transformation. The Digital Summit (DS25) will be hosted by the Polish Presidency at the European Solidarity Centre in Gdańsk, Poland, on 16-18 June 2025. This three-day event will focus on SMEs & scale-ups, their digital competitiveness and innovation, exposure to digital regulations and absorption of digital technologies. The Digital Summit concurs with the EC’s economic priorities, namely: - cutting the red tape for SMEs, - securing the potential of European entrepreneurs, - building up the EU’s competitiveness through investment and innovation, - building up the EU’s own capital. The EU’s digital ambitions for 2030 require Member States to focus on digital regulations, secure and sustainable digital infrastructure, digital transformation of SMEs and digitalisation of public services. We believe that EU Member States face various challenges arising out of these processes. With the help of cooperation and innovation we can transform the EU into a strong and resilient Digital Single Market. With DS25, Poland seeks to highlight the challenges and opportunities that are vital to a continued secure and open digital transformation withing the Digital Decade framework.
A numerical integrated model for the power output of floating offshore wind farms that are fully grid-connected during sea storms (IM-POWER)

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: Sweden
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-08-19
End date: 2026-08-18
Duration (months): 24.0
Total project cost (EUR): 206887.68
EU funding (EUR): 206887.68
Participants: 2
Project status: SIGNED

The implementation of the energy policy to clean our energy system will lead to massive offshore wind power installations in the coming decades, thus causing the electricity grid balance to increasingly rely on intermittent renewable energy sources. Such dependence, and the increased electrification, leaves power grids vulnerable to the risk of negative impacts of climate-induced weather extremes. Nevertheless, the effects of extreme events on the reliability of electricity distribution systems remain an open question, and to address this point, IM-POWER is proposed here. The Action aims to develop a numerical integrated model to predict the power generation performance of emerging offshore wind technologies during storm conditions and anticipate their impact on power grids. IM-POWER will set a comprehensive numerical strategy to assess the power output of offshore wind farms that comprise wind turbines installed on floating platforms. High-fidelity modeling techniques for simulating marine structures and harsh marine conditions – involving wind effects, floating foundations, and power generators – will be combined. Three representative configurations of floating offshore wind turbines (FOWTs) will be arrayed into wind farms. To provide relevance to the layouts, their design will be tackled in cooperation with the world-leading project developer Hexicon AB (Sweden). Therefore, the computational tool will be used to investigate the power output of the FOWTs by assessing their transient response when the peak of storms (usually lasting three or four hours) hits the wind farm. Owing to the effort required by the numerical procedure, hardware acceleration provided by the National Supercomputer Centre (Sweden) will be used to perform the calculations. The knowledge gained from the power production variability during storms using IM-POWER, for different platform configurations, will permeate FOWT design and optimization procedures, and support power grid upgrades.

Keywords: renewable energy wind energy floating offshore wind computational fluid dynamics power grid electricity distribution systems resilience and reliability smoothed particle hydrodynamics
Reduced-order topology optimisation of high-resolution microstructures with internal contact (microFFTTO)

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 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-03-01
End date: 2026-02-28
Duration (months): 24.0
Total project cost (EUR): 189687.36
EU funding (EUR): 189687.36
Participants: 1
Project status: SIGNED

Exploiting the full potential of additive manufacturing methods requires a leap forward in advanced modelling and computing techniques. While additive manufacturing enables the high-precision fabrication of architectured mechanical (meta)materials, its design is currently driven by human experience. As such, it could greatly benefit from numerical Topology Optimisation (TO) techniques. The µFFTTO project addresses two challenges of in-silico design of high-resolution architectured microstructures. First, state-of-the-art finite element computational homogenisation approaches, even when accelerated with highly efficient Fast Fourier Transform (FFT) techniques, are too costly for microstructures discretised into billions of voxels. I will significantly reduce their cost by developing a novel mesh coarsening technique based on low-rank tensor approximations. Second, as the manufacturing resolutions reach micrometre accuracy and the surface-to-volume ratio increases, surface effects, including adhesive contact, need to be accounted for in the TO formulations. This project will incorporate adhesive interaction into the low-rank FFT-based computational homogenisation scheme. As a result, the µFFTTO project will deliver computationally and memory affordable algorithms for microstructure TO on regular grids, which account for internal contacts with adhesion and are directly transferable to contemporary fabrication techniques. The project will be conducted in cooperation with leading experts on multiscale modelling and additive manufacturing from the livMatS Cluster of Excellence, University of Freiburg, Germany, with an emphasis on future collaboration with and knowledge transfer to the Czech Republic and Slovakia.

Keywords: multiscale topology optimisation,computational homogenisation,low rank approximations,adhesive contact,fft based
Toolbox for assessing and mitigating Climate Change risks and natural hazards threatening cultural heritage (TRIQUETRA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Culture, creativity and inclusive society
Theme: Culture, creativity and inclusive society
Destination: Innovative Research on the European Cultural Heritage and the Cultural and Creative Industries
Action type: Research and Innovation actions
Countries involved: Greece,Germany,Italy,Cyprus,Austria,Poland,Switzerland
Call: Effects of climate change and natural hazards on cultural heritage and remediation (HORIZON-CL2-2022-HERITAGE-01, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 3991121.25
EU funding (EUR): 3991121.25
Participants: 23
Project status: SIGNED

The TRIQUETRA project aims at creating an evidence-based assessment platform that allows precise risk stratification, and also creates a database of available mitigation measures and strategies, acting as a Decision Support Tool towards efficient risk mitigation and site remediation. The overall approach of Triquetra is based on three distinct steps: 1. Risk Identification 2. Risk Quantification 3. Risk Mitigation This “trifecta” approach (hence the name Triquetra) creates a framework of risk assessment and risk mitigation so as to tackle as many of these risks as possible, in the most efficient way available. This is further analysed in the following sections.

Keywords: climate models,decision support tool,cultural heritage sites database,digital twins,risk assessment,climate change mitigation,risk stratification,coastal heritage sites,rising sea level risks
Does inter-tissue mechanical coupling coordinate neural tube closure? (NeuroForceSensor)

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: Italy
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-11-01
End date: 2024-10-31
Duration (months): 24.0
Total project cost (EUR): 179438.08
EU funding (EUR): 179438.08
Participants: 1
Project status: CLOSED

Failure of neural tube closure causes neural tube defects (NTDs), which continue to affect 1:1,000 births in Europe. Successful closure requires poorly understood coordination of cellular force-generating mechanisms in different embryonic tissues. By adopting a novel bio-engineering approach, I aim to generate the first spatiotemporal map of mechanical forces in neural tube closure. This unified biomechanical understanding of morphogenesis will provide a step-change in our interpretation of genetic/teratogenic insults underlying NTDs. In this project, I will identify the physical forces mediating neural tube closure and describe their inter-tissue coordination during development. This will be based on intravital 3D (i3D) bioprinting, a novel method established by the Elvassore group at UniPd (host). This method allows 3D printing of biocompatible force sensors directly inside the neural tube of living chick embryos, a well-established vertebrate model. Combined with cutting edge chemical engineering and computational modelling, I will investigate the spatiotemporal coordination of mechanical forces and assess whether connected epithelial tissues are mechanically coupled. The high positional accuracy of i3D enables previously unfeasible perturbations of morphogenesis to test mechanical coupling between connected epithelia. These physical interventions will be paralleled by microfluidic regional delivery of pharmacological inhibitors to biochemically perturb the same morphogenetic processes. Together these studies will pave the way for the identification of novel preventative and therapeutic strategies to enhance cellular force-generating mechanisms during neural tube closure.

Keywords: biomechanics,finite element modelling,neural tube
The evolutionary biology of crop plant DNA methylation (mC-EVOLVE)

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,Canada
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-06-01
End date: 2028-05-31
Duration (months): 36.0
Total project cost (EUR): 280751.52
EU funding (EUR): 280751.52
Participants: 2
Project status: SIGNED

In this project, mC-EVOLVE, I aim to decipher the evolutionary principles governing crop plant methylation diversity. This newfound knowledge will unlock investigations into an underexplored source of functional variation. The project employs a multidisciplinary approach that encompasses mathematical modeling, population genetics, and epigenetics. It is structured around three main objectives: Objective 1 - Separation of Evolutionary and Environmental Forces on Methylomes: I will develop an innovative inference tool to disentangle neutral, selective, and environmental influences on methylation variants. This will be achieved by inferring the genealogy along the methylome and evaluating the local correlations between genetic and methylation variants. Objective 2 - Assessment of Transgenerational Stability of Methylation Alleles following Genomic Shock: Given that introgressive hybridization is a recurring phenomenon in crop plant enhancement, resulting in genomic shock and subsequent methylome remodeling, I will analyze introgression lines derived from crosses between wild and domesticated sunflowers to identify methylation patterns stable across multiple generations. Objective 3 - Inference of Evolutionary Parameters in Crop Plants with Varied Methylation Patterns: I will analyze publicly accessible datasets containing genomes and methylomes from nine crop plants and their wild relatives to quantify the evolutionary forces affecting plant DNA methylation. This analysis aims to determine the variation in methylation rates across the phylogeny, facilitated by comparisons to the model plant Arabidopsis. Through the development of a pioneering evolutionary inference approach for methylomes, the identification of the optimal marker class of crop plant methylation analysis, and the analysis of multiple open access crop plant methylomes, mC-EVOLVE is dedicated to advancing our comprehension of the evolutionary dynamics underlying crop plant DNA methylation.

Keywords: methyatlion diversity plant science evolutionary simulations selection demographic inference genomic shock sunflowers introgression transgenerational stability coalescence hybridization
Off the Road: The Environmental Aesthetics of Early Automobility (OffRoad)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Texts and Concepts
Panel description: Literary studies , literature,  philosophy
Countries involved: Germany
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1978350.0
EU funding (EUR): 1978350.0
Participants: 1
Project status: SIGNED

In times of climate crisis, there is wide agreement that we need a more environmental approach to automobility. “Off the Road” addresses this challenge by highlighting a largely forgotten fact: that automobility was a thoroughly environmental experience before the current system of closed cars on concrete roads emerged. This environmental automobility was particularly widespread in the United States, where much driving occurred in off-road conditions well into the 1920s. Motorists navigated through mud, sand, and water, constantly exposed to the elements and acutely aware of their surroundings. Early automobility thus engendered unprecedented modes of relating to the environment—modes that have never been systematically researched. “Off the Road” recovers this environmental automobility by conceiving it as an aesthetic experience: one that created new sensual perceptions, new strategies of representation, and new formations of environmental knowledge. These aesthetic patterns found their most complex manifestation in road literature. The project assembles researchers from literary studies, environmental history, and the history of knowledge to recover the aesthetics of environmental automobility in three steps. (1) It builds an interactive digital corpus of American road literature from 1890 to 1929 to identify the full range of aesthetic strategies employed to render the experience of environmental automobility. (2) It positions these strategies within the modernist aesthetic innovations of the period, thus bringing into view a previously marginalized modernism inspired by slow driving in rural environments. (3) It examines how the aesthetics of automobility generated a new kind of mobile environmental knowledge that shaped environmental activism and the emergent science of ecology. In sum, the project reveals how early automobility created distinct modes of environmental awareness that can help us reconceive mobility today.

Keywords: ecocriticism modernism studies environmental history history of knowledge
Time-Traveling Trees: Machine-reading the Past, Present, and Future of Climate Change Adaptation from Archival Aerial Photography (3TMAAP)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Study of the Human Past
Panel description: Archaeology and history
Countries involved: France
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-09-01
End date: 2031-08-31
Duration (months): 60.0
Total project cost (EUR): 2499750.0
EU funding (EUR): 2499750.0
Participants: 3
Project status: SIGNED

This project begins with a “book:” eight historical case studies detailing environmental change will serve to produce 8 machine learning training data sets to develop a methodology for the automatic analysis of quantitative and visual environmental data from historical aerial photographs. This will allow for a new approach to study the 1940s-1990s Great Acceleration, which caused unprecedented environmental change. Becoming ubiquitous in the 1940s, aerial photography has a sub-1-meter resolution which is key to identifying non-linear, non-monumental, and pre-industrial rural environmental infrastructure (e.g. trees, waterholes, fields) and how it has changed over time. Since satellite imagery only gained a comparable high resolution in the early 2000s, the ability to machine-read aerial photographs will quadruple the availability of high-resolution geospatial data, thereby allowing a more robust and nuanced analysis of environmental and climate change. The project goals are: (1) to develop a historical ground truthing method to enhance the interpretation of historical aerial photographs to imagine historical landscapes and how they changed; (2) to produce machine deep learning training data sets by deploying historical ground truthing to identify and extract a set of features from sample areas in the study regions; (3) to use a more systematic and more historically informed object-based methodology to machine read archival aerial photography that is deployable at different spatial (local, regional, global) and temporal scales and make it available as an Open Access online software to read historical aerial photography world-wide. By unlocking the mass data contained in archival aerial photography 3TMAAP opens a new path of research by systematically integrating historical ground truthing into the automatization of geospatial analysis, dramatically deepening the time depth of high-resolution mass data for historical analysis and geospatial and climate modelling.

Keywords: environmental history climate history archival aerial photographs historical aerial photographs historical ground truth historical data sets for machine learning automatic analysis historical aerial photography historical data and climate modelling new high resolution geo spatial data computing history