Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
ODD-ML: Out-of-Distribution Deployable Machine Learning (ODD-ML)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Finland
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-01-01
End date: 2030-12-31
Duration (months): 60.0
Total project cost (EUR): 2495282.0
EU funding (EUR): 2495282.0
Participants: 1
Project status: SIGNED

ODD-ML addresses the open secret of machine learning (ML), which is that model deployment often fails. The problem arises because deployment contexts may differ from the data used to train ML models in unexpected ways. In an increasingly data-driven era, this severely impedes progress in ML-powered R&D and our ability to tackle societal grand challenges with existing ML tools. To solve this pervasive issue, I propose a radical alternative to current ML approaches, placing human experts at the core of iterative design-build-test-learn (DBTL) loops. My approach comprises the interlinked steps of re-conceptualizing the deployment issue as a need for active learning from domain experts and other indirect sources and, to succeed here, recognizing the imperfect and often tacit knowledge and limited time of human experts, designing ML systems that can rapidly reverse-engineer expert knowledge. I will achieve this with a combination of ideas transformative for human-AI collaboration: human inductive biases will be inferred from computational-rationality-based cognitive models, amortized on pre-computed solutions for speed, allowing interactive online use. I envision widespread impact in ML, on complex decision-making, and broadly across R&D domains.

Keywords: out of distribution generalization,machine learning,active learning,human in the loop learning,distribution shift,probabilistic modelling,computational rationality,sequential experimental design,collaborative ai,decision support
No Means No: A Dual-Route Framework For Understanding and Addressing Rape Acknowledgement from the Manosphere to the Mainstream (NOMEANSNO)

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: Sweden
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-11-03
End date: 2027-11-02
Duration (months): 24.0
Total project cost (EUR): 252180.0
EU funding (EUR): 252180.0
Participants: 1
Project status: SIGNED

Rape is a crisis affecting millions globally. Yet, there is a persistent under-acknowledgement of rape, contributing to victim blaming and the normalisation of sexual violence. The rise of the manosphere—online communities promoting misogynistic ideologies—has views that were once fringe, advocating harmful notions of male entitlement and hostility towards women, become mainstream in societal discourses. Research to date cannot fully explain why rape is under-acknowledged, especially across cultural contexts. This project addresses this gap by testing a novel dual-route framework for understanding rape acknowledgement. The first route, ‘entitlement-hostility,’ examines how some individuals and groups rationalise rape through perceived male entitlement and hostility towards women. The second route, ‘false interpretation,’ explores how cognitive biases and misinterpretations of consent lead to a failure to recognise rape, even among those who believe consent is inviolable. The project's second aim is to develop and test online interventions targeting these two routes, serving as pilots for future large-scale interventions. This approach fills a crucial gap by addressing these dynamics across cultures and radicalised communities, highlighting the need for targeted, culturally sensitive strategies. The project employs a mixed-methods approach, integrating representative survey studies, qualitative analyses, and experimental online interventions in Sweden and Hungary. Results will advance theoretical understandings of rape acknowledgement and inform the development of contextualised interventions. By disseminating findings through academic publications, a toolkit for stakeholders, and public engagement activities, the project aims to drive social change, reduce rape incidents, and support victims in seeking help. The fellow will also gain vital skills in interdisciplinary research, leadership, and grant management, significantly enhancing her academic career prospects.

Keywords: sexual violence,manosphere,gender based violence,consent
PersonalIzed medicine in Chronic KidnEy Disease (PICKED)

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: France,Austria,Spain,Greece,Germany,Denmark,Estonia,Belgium,Poland
Call: MSCA Doctoral Networks 2023 (HORIZON-MSCA-2023-DN-01, 2023)
Start date: 2024-10-01
End date: 2028-09-30
Duration (months): 48.0
Total project cost (EUR): 3122742.86
EU funding (EUR): 2671855.2
Participants: 22
Project status: SIGNED

In 2017, on a world scale the total number of individuals with chronic kidney disease, acute kidney injury, and those on renal replacement therapy exceeded 850 million, a truly concerning figure that is twice the estimated number of people with diabetes worldwide and >20 times higher than the number of individuals affected by AIDS/HIV worldwide. The socioeconomic impact of kidney disease is huge and is anticipated to even further grow in the coming years. Awareness of the magnitude and the risks of this condition have remained low at the population level. Therefore, kidney disease has been, until recently, largely overlooked by health authorities and governments in most countries with as the result accumulation of major unmet needs in personalized medicine in kidney disease. The aim of PICKED (PersonalIzed medicine in Chronic KidnEy Disease) is to equip a generation of 10 doctoral candidates (DC) with interdisciplinary skills for the development of pathways to implement personalized medicine in chronic kidney disease and their complications on the level of its detection, progression and treatment. We anticipate that these DCs will significantly contribute to the increasing possibilities to stratify patients with kidney disease and the development of successful intervention procedures with potential to substantially impact the lives of over 10% of the European population. PICKED will realize this aim by coordinating the efforts of 10 beneficiaries and 8 associated partners across 7 European countries and 3 sectors, with lead supervisors covering a large range of disciplines ranging from biomarker-research to research into the legal, ethical and quality of life aspects for the implementation of personalized medicine in kidney disease.

Keywords: chronic kidney disease,biomarkers,bodyfluids,quality of life,progression,detection,diagnosis,prognosis
Maturing food footprint tools, solutions, and uptake to accelerate a rapid EU food transition (GREENGROCER)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Clean Environment and zero pollution
Action type: Research and Innovation actions
Countries involved: Norway,Sweden,Germany,Latvia,France,Switzerland,Netherlands,United Kingdom,Canada,Portugal
Call: Environmental impacts of food systems (HORIZON-CL6-2024-ZEROPOLLUTION-01, 2024)
Start date: 2025-09-01
End date: 2029-08-31
Duration (months): 48.0
Total project cost (EUR): 6999522.5
EU funding (EUR): 6999521.25
Participants: 22
Project status: SIGNED

There is a recognized and urgent need for better food footprint data to accurately inform the sustainable food system transition as the current knowledge infrastructure is inadequate both in terms of scientific robustness and real-world suitability for regulatory and business decision support. The objective of GREENGROCER is to make foundation-strengthening investments in critical knowledge infrastructure in order to advance food footprint data from lab to application. The project packages investments across over a dozen leading mainstream tools including Trase, HESTIA, CoolFarm, FABIO, and EXIOBASE, which collectively form the foundation of most food footprint data currently in use. Work in GREENGROCER: 1) improves the scientific depth by revisiting long standing weak areas including on subnational supply chain specificity, reliability information, and novel and neglected products and impacts such as spices, seaweed, insect protein, cellular agriculture, cold chain energy use, and seafloor disturbance; 2) makes foundation-strengthening investments that take all models towards full compliance with the EU’s Product Environmental Footprint standards and improve FAIRness and interoperability; and 3) promotes exploitation through multi-stakeholder dialogue between food system researchers, industry, and regulators aimed at prioritising pain points and supporting effective regulation. Finally, to collate data without yet another centralised repository, the project leverages Europe’s competitive advantage in marrying AI with scientific expertise to pioneer a fact-based AI expert which can interact with and gather the rapidly growing volume of food system science. Aimed at the Horizon Europe work program destination of reducing the environmental impact of the food system, GREENGROCER outputs are oriented around 13 specific relevant EU policy frameworks including FSFS, EUDR, ESRS, CSRD, CSDDD, and the CAP.

Keywords: food lca food footprint water use remote sensing biodiversity ai
A Feminist Geography of Women's Industrial Poetry in Nineteenth-Century France (IndustrySheWrote)

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: Italy,Australia,United States
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-09-01
End date: 2029-08-31
Duration (months): 36.0
Total project cost (EUR): 309153.72
EU funding (EUR): 309153.72
Participants: 3
Project status: SIGNED

Where is women's poetry about France's Industrial Revolution? Rarely is attention given to the likes of Amable Tastu's 'La France et l'industrie' (1827) or Anaïs Ségalas's 'Le gaz et la lune' (1864) as a distinctive record of heavy industry's impact on female wellbeing, which is a bone of contention worldwide. My experimentation with feminist literary geography, extending from my in-depth knowledge of the environmental humanities, has the goal of providing a platform for the underrepresented 51% of nineteenth-century France's adult sex ratio. Given that the European Commission is addressing gender equality in the cultural sector (2021) and striving to end gender stereotypes (2023), now is the time for my reparative intervention from a position of allyship correlating to #HeForShe (2014) and #FeminizeYourCanon (2018). Inspired by Doreen Massey's 'Space, Place and Gender' (1994) and Caroline Criado Perez's 'Invisible Women' (2019), I aim to gather a diversity of female-authored poems that are representative of bodily, ecological, emotional, infrastructural, and linguistic circumstances. My textual method is in keeping with cultural analysis such as Marina Marengo's 'Geografia e letteratura' (2016) and Adrianna Paliyenko's 'Women Shaping French Poetic History, 1801-1900' (2016). The project's priorities are: 1) locating what women wrote about industrial matters across decades to establish reference points for policymakers and non-specialists; 2) datafying the compilation of rediscovered poetry to generate an open-access machine-readable resource with critical annotations on topics ranging from class to ethnicity; 3) close reading of the corpus's content/form to reveal microscale features within macroscale trends. Ultimately, my innovative activities in Australia, France, Italy, and the USA shall build up an inclusive community of practice with a long-term focus on female creativity and scholarship, all in the spirit of Europe advancing as a 'Union of Equality'.

Keywords: ecocriticism ecofeminism ecopoetics environmental humanities geographies of language
New approach to innovative technologies in manufacturing (NEPTUN)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Destination: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Poland,Germany,Sweden,Greece
Call: Twinning (HORIZON-WIDERA-2021-ACCESS-03, 2021)
Start date: 2022-11-01
End date: 2025-10-31
Duration (months): 36.0
Total project cost (EUR): 1487733.0
EU funding (EUR): 1487733.0
Participants: 4
Project status: SIGNED

At the dawn of 21st century the importance of economy being up to date with the latest scientific developments – such as Industry 4.0 - is more evident than ever before. Recent global situation has proven that in order for the principles of I4.0 to be successfully implemented, the industry must cooperate closely with universities and authorities. In Poland this cooperation is still insufficient and to solve this problem GDAŃSK TECH teams up with KTH Stockholm, TU Berlin and NTU Athens. The overall objective of the NEPTUN Project is to raise the GDAŃSK TECH level of excellence in the area of additive manufacturing accompanied by cloud computing and control, virtual reality modelling and simulation technology. The project will allow GDAŃSK TECH to become a leading entity in the research and innovation not only on a regional but on a national level, making it an efficient partner in developing Industry 4.0 in Poland. The partners' experience and expertise with research and innovation activities in such fields as applying DMLS/SML, SLS and FDM for prototyping with incorporating the process and parameter optimization and control of 3D printed materials for functional use, modelling robotic cells in VR environment or applying evolutionary algorithms in manufacturing will allow GDAŃSK TECH to expand its expertise and to engage in R&D&I activities on a whole new level. An important aspect of the project is a work package connected with exploratory research project related to fabrication and design of new mechanical metamaterials – artificial structures whose mechanical properties are defined not only by their composition but also by their structure. Other WPs will boost the development of Industry 4.0 on the regional and national level by forming NEPTUN Cluster of Excellence. NEPTUN will raise the attractiveness of the profile and research potential of all the partners; it will build a network of scientific contacts aimed at future research projects and publications.

Keywords: additive manufacturing,virtual reality for smart factory,ai in manufacturing process planning,optimisation,sensor based manufacturing,precision manufacturing,cloud manufacturing
PIM-TSUNAMI: A global TSUNAMI hazard amplification model considering site-specific factors and applying Physics-Informed Machine learning (PIM-TSUNAMI)

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: 2025-06-01
End date: 2027-05-31
Duration (months): 24.0
Total project cost (EUR): 260347.92
EU funding (EUR): 260347.92
Participants: 1
Project status: SIGNED

Project PIM-TSUNAMI aims to develop a model that incorporates the effects of site-specific factors on tsunami heights, using Physics-Informed Machine Learning simulations and offering a user-friendly interface. Megathrust earthquakes in subduction zones, along with their cascading tsunamis, have led to some of the most devastating hazards on Earth, such as the 2004 Indian Ocean tsunami, which claimed more than 220,000 lives, and the 2011 Tohoku tsunami in Japan, resulting in over 20,000 fatalities. Recent understanding has revealed that the tsunami potential of megathrust earthquakes depends on site-specific factors such as slab curvature, bathymetry steepness, and sediment thickness. Despite significant advancements in tsunami hazard analysis over the past 30 years, the critical issue of site-specific factors, which can amplify tsunami hazards two- to threefold, remains a major gap in research and practice. By addressing this critical gap, PIM-TSUNAMI offers significant improvements to global tsunami hazard assessments and contributes to the safety of millions of people worldwide who live at risk of tsunamis. The objectives of this project are: i) Understand the impacts of site-specific factors on tsunami-genesis, ii) Develop a user-friendly model for tsunami amplification for global subduction zones, and iii) Disseminate the model to relevant stakeholders. The user-friendly interface of the PIM-TSUNAMI model combined with our diverse dissemination strategy and the host supervisor’s active involvement in the tsunami community and his role as Secretary General of the IUGG Joint Tsunami Commission will guarantee its reach to relevant stakeholders and Disaster Risk Reduction (DRR) authorities worldwide and implementation. The automated workflow of PIM-TSUNAMI makes it easily accessible and applicable to researchers and coastal DRR authorities worldwide.

Keywords: tsunami,earthquake,machine learning,numerical modelling,coastal resilience,splay fault
Unearthing ancient social structures with sediment DNA (UNEARTH)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Study of the Human Past
Panel description: Archaeology and history
Countries involved: Germany,Austria
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-05-01
End date: 2029-04-30
Duration (months): 60.0
Total project cost (EUR): 1994458.0
EU funding (EUR): 1994458.0
Participants: 2
Project status: SIGNED

Humans and other living beings are constantly shedding DNA, and this DNA is preserved in archaeological sediments. In 2021, I developed the first methods for reliably capturing and analyzing human nuclear ancient DNA (aDNA) from sediments, leveraging this abundant genetic resource as a reliable tracer of biological identity. For ancient societies, such aDNA has the potential to function as forensic “breadcrumbs” that trace the spaces inhabited by ancient individuals. At the well-documented, multi-phase Early Bronze Age settlement of Vráble, I will undertake a cutting-edge research program to obtain human aDNA from over 100 individual house floors, spanning the entire occupational area and 500-year history of the settlement. The UNEARTH project will reveal inheritance patterns and social organization, and map individuals from the cemetery back onto the spaces where they left their genetic traces. By integrating genetic, bioarchaeological, and isotope analyses, UNEARTH seeks to uncover socioeconomic stratifications and their role in prehistoric neighborhood organization. The methods developed in UNEARTH for extracting and analyzing human aDNA from sediments will have wide-ranging impact on archaeogenetics, enabling new analyses on archaeological sites, cultures and time periods that lack associated human remains. Crucially, UNEARTH will develop a robust framework for using human aDNA from sediments in cases where bones cannot be ethically sampled. By establishing new methodology and best practices for sampling and analyzing sediment aDNA, this project will unlock rich genetic records that are ubiquitous at nearly every archaeological site in order to elucidate the lived experiences of prehistoric Europeans at unprecedented resolution.

Keywords: bronze age,population genetics,social organization,sediment dna,ancient dna
Supporting the deployment of AGRIvoltaics to accelerate the sustainable market uptake of SOLar energy in agriculture (AGRISOL)

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: Coordination and support actions
Countries involved: Greece,Denmark,Italy,Poland,Belgium,Spain,Germany
Call: Market Uptake Measures of renewable energy systems (HORIZON-CL5-2024-D3-02, 2024)
Start date: 2025-11-01
End date: 2028-10-31
Duration (months): 36.0
Total project cost (EUR): 2367406.06
EU funding (EUR): 1999922.83
Participants: 10
Project status: SIGNED

Supporting the deployment of AGRIvoltaics to accelerate the sustainable market uptake of SOLar energy in agriculture within a 36-month project that engages experienced partners across five EU states (Greece, Italy, Spain, Demark and Poland). The project aims to support at least 30 PV market actors, farmers, farmers associations, agribusinesses, etc. in EU countries to overcome existing barriers and viably take up APV systems in their lands. We start by analysing framework conditions and APV value chains and we are also engaging local stakeholders in co-designing our approach and support actions. Then, we provide a series of demand-driven business, financial and technical support services along with dedicated capactiy building programs. In parallel we develop an Engagement Platform hosting tools that facilitate collaboration and knowlede exhange among industry actors and provide credible estimations about; APV potential, prospect profits with benefits and APV policy making level across various EU countries and critical factors. Also, we improve the societal acceptance of APV amongst farmers and citizens by 25% (or above) through well-tailored awareness-raising campaigns and social impact methodologies. At the same time, we trigger the development of an enabling environment for the market uptake of APV by formulating relevant policy recommendations at both national and EU level and widely disseminating them to more than 100 policymakers. Finally, an ESG monitoring and evaluation framework evaluates the performance and impact of all the above, ensuring the long term sustainability of our solutions and providing us with the intel required to catalyse mutual learning and contribute to creating a guide for replicating our results. Therefore, we expect a power output of 50 MWel by our supported cases / projects, leading to an increased share of renewable energy in the final energy consumption in the target countries and ultimately, saving more than 0.5 million tn of GHG.

Keywords: agrivoltaics,solar energy,renewable electricity,photovoltaics,res market uptake,sustainable agriculture