Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A territorialised Agricultural Knowledge and Innovation Systems framework for agroecological transitions (AETERAKIS)

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,United Kingdom
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-01-01
End date: 2027-06-30
Duration (months): 30.0
Total project cost (EUR): 206641.2
EU funding (EUR): 206641.2
Participants: 4
Project status: SIGNED

European food systems face sustainability challenges related to environmental degradation, nutritious and healthy sustainable food access, and just socio-economic development. Increased organic farming adoption positively influences these systems, especially when framed under a territorialised agroecological approach that emphasises local resource use and ecosystem services. Agricultural Knowledge and Innovation Systems (AKIS) can support this transition. However, mission-oriented AKIS supporting knowledge-intensive farming methods and territorial development are recent and poorly implemented, presenting barriers for specific farming groups, especially agroecology-oriented organic farmers. The proposed project aims to develop a transformative and territorialised AKIS framework for agroecological transitions, using a transdisciplinary and interdisciplinary approach incorporating a hybrid Actor-Network Theory/Social Network Analysis methodology in four Spanish case studies involving theoretical, empirical, and practical validation. The applied methodology will assess the patterns, connections, and gaps between territorial AKIS infrastructure for organic farmers and the support required for agroecological-oriented farming practices and innovation using a robust conceptual and analytical framework and participatory-action research through an advisory team and local collaborator groups. The knowledge obtained in this project will be used to develop strategies to promote the objectives of the European Green Deal and EU Missions concerning sustainable food systems. The Fellow will gain new research skills and build and maintain research networks, advancing her food governance and policy research and consultancy career. Combining prior knowledge with acquired expertise, she will develop an innovative interdisciplinary and multilevel approach to studying food systems and policy, contributing to evidence-informed policymaking based on mission-oriented knowledge systems.

Keywords: agroecology,knowledge and innovation,territorial development,sustainable food system,policy development
Rewiring of ecological networks under global change (ECONET)

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: Denmark
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-12-01
End date: 2025-11-30
Duration (months): 24.0
Total project cost (EUR): 225934.4
EU funding (EUR): 225934.4
Participants: 1
Project status: SIGNED

One of the main consequences of the biodiversity crisis is the reorganization of ecological networks. This reorganization, usually termed ‘interaction rewiring’, can drastically alter nature’s functions and services to humanity. Therefore, predicting interaction rewiring is paramount to predicting the future structure, functioning and stability of the ecosystems. Until now this has not been done because quantifying and predicting rewiring into the future requires extensive data on species traits and interactions and computationally efficient and ecologically relevant analytical tools. The main objectives of ECONET are to quantify the potential of rewiring in mutualistic networks globally and to predict how mutualistic networks rewire due to global change (climate change, land cover change, human-driven extinctions). For this, I will use empirical data of pollination and seed dispersal networks to predict probabilities of all pairwise interactions in metawebs (network covering all possible pairwise interactions) with machine learning. I will quantify the species' rewiring potential as their interaction niche breadths in the metawebs. Then, I will construct scenarios of compositional change in local networks caused by global change and identify rewired interactions under different scenarios. I will also assess the stability and functionality of rewired networks under different scenarios. The main outcome of ECONET will be spatially-explicit knowledge of global change consequences on mutualistic networks. ECONET will provide practical and novel guidance to biodiversity management and conservation strategies, including nature-based solutions embedded in the EU’s environmental agenda. As a key part of ECONET, I will receive essential training from world-leading experts in the fields of ecological machine learning and scenario development at an outstanding centre. This will allow me to establish an independent and distinct research agenda in global change ecology.

Keywords: climate change,community ecology,functionality,global change forecasting,interaction turnover,joint species distribution model,machine learning,pollination,seed dispersal,stability,trait
Hair, Identity, Beauty, and the Self in Muslim Contexts: Emotional Landscapes and Changing Femininities Beyond the Veil (HAIR)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Studies of Cultures and Arts
Panel description: Social anthropology, studies of cultur es, stud ies of arts
Countries involved: Belgium
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-06-01
End date: 2031-05-31
Duration (months): 60.0
Total project cost (EUR): 1600822.0
EU funding (EUR): 1600822.0
Participants: 1
Project status: SIGNED

This project analyses how Muslim women’s hair shapes everyday intimate lifeworlds, processes of social transformation, and new religious identities in contemporary Egypt, Lebanon and the United Arab Emirates. In so doing, it will turn the global contemporary headscarf debate on its head. By shifting the paradigm from the veil as a marker of inter alia religiosity, HAIR examines how the attitudes and practices of Muslim women towards their hair condition religious norms and social expectations. Hair itself remains a neglected theme, despite being central to issues of identity, beauty and processes of individualisation. Even so, there is much contention concerning how Muslim women wear their hair, think about it, and feel about it. Indeed, hair is at the very root of the headscarf debate. Hair is both a mundane issue and a disputed one for many women. As such, it is a contentious field that spans the negotiation of gender dynamics, beauty ideals, political orientation, and religious norms. What, then, do we learn when we study women’s (in-)abilities to show or (not) show hair? What does the (in-)ability to conceal one’s hair mean in different contexts? HAIR will address these questions by examining the intricate entanglement of the body, emotions and the gendered self within changing social landscapes by combining research approaches rooted in Islamic studies, social anthropology and anthropology of emotions. It will do so through a blended methodology of field research, digital ethnography and literary analyses carried out in Egypt, Lebanon and the UAE. Through this approach, HAIR will produce two doctoral dissertations, two monographs, and three journal articles, culminating in a new synthesis that explains the importance of Muslim women’s head hair. HAIR offers a path-breaking approach to gendered body politics that will open new frontiers in the study of women in Muslim majority and minority societies.

Keywords: islam,social transformations,women,hair,identity,beauty,emotions,processes of individualisation,embodied practices,digital spaces,non religiosities,gender,power relations
Estimating the ice volume of Earth's glaciers via Artificial Intelligence and remote sensing (SKYNET)

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: Italy,United States
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-10-01
End date: 2026-09-30
Duration (months): 36.0
Total project cost (EUR): 288859.2
EU funding (EUR): 288859.2
Participants: 2
Project status: SIGNED

Estimating the ice volume of Earth's glaciers is a grand challenge of Earth System science. Besides being a critical parameter to model glacier evolution, knowledge of glacier volume is fundamental to quantify global sea level rise and available freshwater resources. Under current global warming glaciers are losing mass, making improved glacier ice volume estimates a top-priority to constrain future climate scenarios. Direct glacier ice volume estimates are limited by difficulty in directly measuring the ice thickness. As a result, estimates rely on models, many of which depend on explicit physical laws but require parameters often poorly constrained. Today, the amount of satellite data is increasing at such a rate that it cannot be efficiently exploited by traditional processing pipelines. At the same time, Artificial Intelligence techniques are becoming increasingly dominant problem-solving techniques. In particular, deep learning models have recently shown the ability to surpass human accuracy in many scientific tasks. The goal of the SKYNET project is to develop an innovative deep learning-based model capable of exploiting the huge amount of available satellite data to improve the current estimates of ice volumes of all Earth’s glaciers, from continental alpine glaciers to polar glaciers, including those in the periphery of Greenland and Antarctica. The proposed methodology makes use of state-of-the art image inpainting architectures fed with satellite-based digital elevation models (TanDEM-X,REMA), altimetry (NASA’s ICESat-2), gravity and ice surface velocity data to infer subglacial topographies hence ice volumes. Modelled topographies will be constrained towards realistic solutions using glacier ice thickness measurements (GlaThiDa repository) from in-situ and remotely sensed observations. SKYNET will be jointly developed by two leading institutions in glaciology and remote sensing: the University of Venice and the University of California Irvine.

Keywords: glacier ice volume artificial intelligence deep learning satellite remote sensing
Neanderthal coastal adaptations in southern Europe and eastern Asia (NEARCOAST)

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: Social Sciences and Humanities
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 2
Project status: SIGNED

NEARCOAST will advance our understanding of Neanderthal behavioural and foraging ecology, and the role of coastal environments to Neanderthal adaptive capacity and resilience through the Middle Palaeolithic. The project will apply a suite of bioarchaeological and molecular techniques on faunal remains recovered from key Neanderthal coastal sites (Figueira Brava, Complejo del Humo, Los Aviones and Üçağızlı II) located between the eastern Mediterranean and the Atlantic Europe. NEARCOAST will test the hypotheses that i) investment in shellfish procurement responded to a longitudinal gradient in intertidal profitability; ii) intertidal resources were mostly secured in colder months of the year, in response to the seasonally controlled altitudinal mobility of large ungulates, as proposed for Upper Palaeolithic and Mesolihic groups in these region. The fellow (Asier García-Escárzaga) is an archaeologist who integrates malacology, trace elements and shell stable isotopic analysis to study Mesolithic coastal adaptation. With NEARCOAST he will expand his research portfolio to the Middle Palaeolithic and receive training in vertebrate zooarchaeology, palaeoproteomic and on recent developments in trace elements. The project will elevate our scientific and public knowledge on Neanderthal coastal adaptation. It will expand the fellow’s transferable and specific skills in bioarchaeology, while placing him in a unique position for a career independence. NEARCOAST will make an impact in the field of Middle Palaeolithic Archaeology, and so doing will enhance the visibility of the fellow and institutions involved. The fellow will be supervised by Colonese (PI of the ERC-CoG project TRADITION), and will be part of the new generation of biomolecular archaeologists trained at the Department of Prehistory and the Institute of Environmental Science and Technology.

Keywords: coastal archaeology,human evolution,neanderthal behaviour,human environment interactions,geochemistry and biochemistry
Accelerating transformative climate adaptation for higher resilience in European mountain regions (MountResilience)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Mission
Theme: Adaptation to climate change
Destination: Adaptation to climate change
Action type: Innovation actions
Countries involved: Italy,Bulgaria,Portugal,Austria,France,Romania,Finland,Belgium,Spain,Croatia,Switzerland,Poland
Call: Testing and demonstrating transformative solutions on climate resilience, mainstreaming nature based solutions in the systemic transformation (HORIZON-MISS-2022-CLIMA-01, 2022)
Start date: 2023-09-01
End date: 2028-02-29
Duration (months): 54.0
Total project cost (EUR): 15970687.5
EU funding (EUR): 15169196.25
Participants: 49
Project status: SIGNED

Mountains cover 30% of the land area and are home to 17% of the EU´s population, meaning that every 6th EU citizen lives in mountainous areas. While we often associate mountains with breathtaking landscapes that offer perfect sites for relaxation, in truth, mountains are much more than that. In fact, mountains play a crucial role in our daily lives by providing vital resources and key community systems to the global population. Mountains like other areas face unprecedented challenges in terms of climate change (CC), however mountain ecosystems are more sensitive to CC. The harmful conditions provoked by CC are exacerbated by the significant deficits in adaptation responses mountainous areas have, stemming from several existing gaps, including shortcomings in CCA options, deficits in the uptake and the lack of coherence. MountResilience has been formulated to increase the adaptation capacity of mountainous regions and communities so as to strengthen climate resilience within the European mountainous biogeographical region (Alpine biogeographical region). The project aims to accelerate the climate resilient transformation of 10 of the most relevant communities and regions located in the mountains in 9 European countries. 6 of the regions will develop and test transformative CCA solutions (technological and social innovations with nature-based solutions at their core). These solutions will address policy, governance, societal needs and behaviours, technological requirements, public and financing targets, and CC risks typical of mountainous areas. Regional quadruple-helix partnerships will use open innovation, participatory decision-making, stakeholder engagement approaches, and effective communication to mobilise, engage, and reach out to key communities. The remaining 4 regions will serve as "replicator" regions, repurposing CCA solutions and lessons learned from the demo regions in their regions through special initiatives to improve their adaptive capacity.

Keywords: sustainable mountain development,social and technological innovation,climate resilience,societal engagement
Modeling and forecasting supply networks using functional time series and mathematical programming (NETOPT)

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: Mathematics
Countries involved: Germany
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 173847.36
EU funding (EUR): 173847.36
Participants: 1
Project status: CLOSED

In NETOPT, we will develop an innovative high-frequency forecasting model that analyses complex spatial and temporal dynamics in large-scale networks under demand and supply constraints. Using supply networks as an example, NETOPT aims to model and forecast large-scale network flows using a Functional Time Series (TS) and Mathematical Programming (MP) approach. The network model proposed in NETOPT can optimize decision planning and efficient scheduling by reducing financial and technical risks in transmission and distribution networks, such as gas and water networks. To demonstrate the practical effectiveness of our new approach, we will implement models to describe and predict hourly gas flows for several days ahead in the German high-pressure gas transmission network using real-world data. Efficient prediction and interpretation of the complex dynamics in transport and distribution networks is a crucial component of an intelligent decision support system that helps to reach the climate targets of the European Green Deal in a fair, cost-effective, and competitive way.

Keywords: functional time series,energy forecasting,mathematical programming,dynamic network modeling
OutMARCH-ing cancer: Towards innovative membrane protein degrader modalities for cancer treatment (OutMARCH)

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: Netherlands,Germany,Switzerland
Call: EIC Pathfinder Open (HORIZON-EIC-2025-PATHFINDEROPEN, 2025)
Start date: 2026-05-01
End date: 2030-04-30
Duration (months): 48.0
Total project cost (EUR): 2999050.0
EU funding (EUR): 2999050.0
Participants: 5
Project status: SIGNED

The OutMARCH project pioneers a paradigm-shifting protein degradation technology aimed at transforming the therapeutic landscape for cancer and beyond. By engineering a novel class of bispecific antibodies—SureTACs—that harness membrane-bound E3 ubiquitin ligases to selectively degrade disease-driving surface proteins. This groundbreaking lysosomal-targeting approach offers greater selectivity, durability, and breadth than conventional blocking therapies and, moreover, enables the targeting of previously 'undruggable' proteins. Central to our innovation is the utilization of the MARCH family of membrane-bound E3 ligases—an unconventional class of enzymes with remarkable substrate promiscuity and cancer-selective expression profiles. These properties make MARCH E3s ideal effectors for tissue-specific protein degradation, reducing off-target toxicity and overcoming treatment resistance. To unlock their therapeutic potential, we will develop a modular platform combining antibody engineering, innovative screening technologies, and machine-learning-guided design. The result will be a new class of biologics that direct the body’s own cellular machinery to dispose of harmful proteins. Our initial focus is on two urgent oncology needs: therapy-resistant B-cell lymphomas and difficult-to-treat gastrointestinal cancers. Both cancer types rely on critical cell surface signaling hubs that evade traditional drug targeting. By degrading cancer-driving proteins at the cell surface, we aim to drive tumor-specific protein elimination to achieve durable anti-cancer effects. Using AI-guided antibody design and optimized E3-target pairing screens, OutMARCH will establish the first programmable, modular membrane degrader platform. While currently focused on oncology, this platform has broad potential across autoimmunity, transplantation, and chronic inflammation—paving the way for a new era of programmable degradation in precision medicine.

Keywords: ubiquitination,lysosomal degradation,nanobodies
Identification and characterization of long non-coding RNAs as drivers of stemness in hematopoietic stem cells and leukemia. (StemLinc)

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: Spain
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): 165312.96
EU funding (EUR): 165312.96
Participants: 1
Project status: CLOSED

Hematopoietic stem cells (HSCs) are a unique population defined by their self-renewal capacity and the potential to give rise to all blood lineages. A complete understanding of the specific mechanisms controlling HSC self-renewal and multipotency is still lacking. This knowledge is fundamental to improve ex vivo HSC expansion with therapeutic purposes and to unveil the mechanisms that promote aberrant cellular growth in leukemia. Long non-coding RNAs (lncRNAs) are emerging as novel players of normal development and physiology and their dysregulation has been associated with multiple cancer types. Recent data suggests that lncRNAs may also act as molecular determinants of the balance between self-renewal and differentiation in HSCs. However, because of traditional limitations in RNA-profiling strategies, current lncRNA catalogs are still incomplete, representing likely only a fraction of the whole lncRNA repertoire expressed in cells. In this proposal, I aim to identify novel lncRNAs specifically involved in the regulation of HSC identity, to ultimately understand their function in normal hematopoiesis and leukemia. For this, I will construct a comprehensive HSC-specific lncRNA catalog through deep total-RNA sequencing of mouse HSCs and their closest cell descendants. I will then infer lncRNA functions through robust computational analyses and validate selected candidates in-vitro. Finally, I will investigate the role of HSC-specific lncRNAs in vivo, using a T-cell acute lymphoblastic leukemia mouse model. This work will extend our knowledge on lncRNAs, on the molecular mechanisms of HSC identity and on how their dysregulation leads to leukemia. By performing this project I will gain first-hand experience in normal and malignant hematopoiesis while reinforcing my expertise in lncRNA biology. I also expect to reach the highest levels of professional maturity and scientific independence which will allow me to establish a high-profile research group in the near future.

Keywords: hscs,lncrnas,leukemia,transcriptomics,lncrna function,t all