Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Specializing TEmporal Planning using Reinforcement Learning (STEP-RL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-01-01
End date: 2028-12-31
Duration (months): 60.0
Total project cost (EUR): 1493750.0
EU funding (EUR): 1493750.0
Participants: 1
Project status: SIGNED

Planning - devising a strategy to achieve a desired objective - is one of the basic forms of intelligence. Temporal planning studies the automated synthesis of strategies when time and temporal constraints matter. Temporal planning is one of the most strategic fields of Artificial Intelligence, with applications in autonomous robotics, logistics, flexible production, and many other fields. Historically, the research on temporal planning follows a general-purpose framework: a generic engine searches for the strategy by reasoning on the problem statement (i.e. the starting condition and the desired objective), as well as on a formal model of the domain (i.e. the possible actions). Despite substantial progress in the recent years, domain-independent temporal planning still suffers from scalability issues, and fails to deal with real-word problems. The alternative is to devise ad-hoc, domain-specific solutions that, although efficient, are costly to develop, rigid to maintain, and often inapplicable in non-nominal situations. STEP-RL will study the foundations of a new approach to Temporal Planning, that is domain-independent and efficient at the same time. The idea is to adopt a framework based on Reinforcement Learning, where a domain-independent temporal planner is specialized with respect to the domain at hand. STEP-RL continuously improves its ability to solve temporal planning problems by learning from experience, thus becoming increasingly efficient by means of self-adaptation. STEP-RL will advance the state of the art in temporal planning beyond the "efficiency vs flexibility" dilemma, that I had to personally face in the many industrial projects I worked on.

Keywords: automated planning,planning and scheduling,automated decision making
Adaptation solutions to reduce climate change impact on health in the Mountain area (MOUNTADAPT)

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: France,Greece,Andorra,Spain,Germany,Italy,Austria,Slovenia,Romania,Belgium
Call: Testing and demonstrating transformative solutions to build resilience towards health risks caused by the effects of climate change (HORIZON-MISS-2023-CLIMA-01, 2023)
Start date: 2024-06-01
End date: 2027-05-31
Duration (months): 36.0
Total project cost (EUR): 6458180.0
EU funding (EUR): 5851010.14
Participants: 27
Project status: SIGNED

In the face of climate change, events like COVID-19 crisis with high impact in specific sectors demonstrated the importance of resilient societies. As such, it is vital to act with a level of urgency for climate change related impacts to health sector that are proportionate to the scale of the threat, be prepared and informed on the basis of the best-available science, and practise clear and consistent communications to all those involved. Therefore, in MOUNTADAPT, various regional and local authorities and community members will take the leadership to co-design, co-develop and test eleven state of the art climate adaptation solutions across the mountains biogeographical region, in Austria, Slovenia, France and Romania. A diversity of actors of the health system will also collaborate throughout the project to demonstrate the replicability of the solutions in a diversity of settings: within the Alpine mountains in Romania, outside Europe in the Pyrenees in Andora and beyond, in the continental area in Germany. MOUNTADAPT will develop robust models to better understand the impact of climate change on health (PR1). The project will cover the whole chain of response to a climate induced health emergency with monitoring tools (PR2) that will be directly linked to short term forecasts to communicate warnings (PR3) to the relevant stakeholders. An emergency management tool (PR4) will finally support health systems to optimally organise staff in crisis time. This will be supported by guidance for transforming the health system (PR5) and empowered actors with the training courses for healthcare professionals and awareness raising campaigns for citizens (PR6). Detailed monitoring protocols and impact assessment frameworks (PR7) will allow for a continuous evaluation of a range of adaptation solutions during and after the project, providing incentive for their implementation. Finally, MOUNTADAPT will provide a full guide (PR8) for the implementation of its adaptation solutions, boosting their replication in new territories and will provide feedback to the Health Emergency Preparedness and Response Authority.

Keywords: mountain biogeographical area
The (M)other Within: Uterus Politics and Technology as Lived Experience (LIFE(M)OTHER) (LIFE_M_OTHER)

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: Denmark,United States,Sweden
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2027-08-31
Duration (months): 36.0
Total project cost (EUR): 309951.36
EU funding (EUR): 309951.36
Participants: 3
Project status: CLOSED

At the frontier of research in assistive reproduction technologies (ARTs) and organ transplantation, motherhood is being reconceived. Uterus transplantation (UTx), pioneered in Sweden in 2014 and now in clinical trials in 16 countries including the United States (US), is among the newest experimental ARTs for people pursuing gestational and genetic motherhood. As UTx moves across borders into different sociopolitical conceptions, and contentions, of gender, reproduction, and motherhood, it becomes a prism for exploring the stakes, practices, and meaning attributed to gender and reproductive rights in different societies. Ultimately, this technoscientific frontier is relevant to everyone, representing the pursuit of not only reproduction but also of a particular form of gendered embodiment by way of a thoroughly gendered organ. LIFE(M)OTHER examines how the technological pursuit of mothering life via UTx moves across borders and into different healthcare systems and lifeworlds, opening to other arrangements of gender, the body, motherhood and reproductive rights. The overall aim of LIFE(M)OTHER is to develop a person-centered theoretical framework for understanding the interplay of three elements: (1) frontier technoscience (2) cultural politics of the body, reproduction, and gender, and (3) lived phenomenological experience. This aim embeds methodological contributions for studying the social impacts of frontier experimental science. I ground this framework in an interdisciplinary, comparative ethnographic study of clinical and domestic (home) sites of four UTx clinical trials in the US and Sweden, tracing the technological development alongside its lived experience by studying the practices and discourses of healthcare practitioners, advocacy groups, patients, donors, and families. I supplement this with archival research to map, compare, and contextualize shifting cultural politics surrounding the uterus, reproduction, gender and the body in the US and Sweden.

Keywords: medical anthropology assisted reproductive technology organ transplantation feminist studies of science and technology clinical trials biomedicine gender and sexuality studies
Explainable Anomaly Detection for Safeguarding and Enhancing Modern Data Industry (ExplainableAD)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: France
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2024-POC, 2024)
Start date: 2025-03-01
End date: 2026-08-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

In the ExplainableAD project, we address the problem of eXplainable Anomaly Detection (XAD) on data streams with evolving, previously unknown, complex anomaly types. To bridge the gap between growing demands in the data industry and severely limited industry-grade solutions available today, we propose a breakthrough XAD system that offers unprecedented capabilities for safeguarding digital services. To this end, it seamlessly integrates deep learning-based anomaly detection (AD), which unlocks the power of detecting evolving, previously unknown, complex anomaly types, and explanation discovery (ED), which overcomes the non-interpretability of deep learning by returning human-readable, actionable insights. To establish a pathway from fundamental research to innovation, we will conduct 1) additional research activities on automated model selection, scalable execution, and data visualization; (2) prototyping, benchmarking analysis, and system demonstration; (3) large-scale use case studies with industry partners, leveraging ongoing collaborations and building new use cases across banking, finance, and healthcare domains; (4) market analysis and market entry strategy development to enable technology transfer. Our XAD system will have a direct impact on end users across a variety of sectors, including fraud analysts in banking and financial services to combat ever-growing, complex fraud types, IT departments and cloud services to manage malfunction and performance challenges proactively, and biomedical researchers and staff to benefit from enhanced diagnostic accuracy and improved confidence. The PI will bring extensive experience from the ERC CoG grant, including a large number of publications and a highly skilled team, to this project. With a proven track record of delivering cutting-edge solutions to critical challenges faced by enterprises and society, she will leverage her strong industry connections to facilitate the transition from research to innovation.
SElf-mAnaged Sustainable high-capacity Optical Networks (SEASON)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: Smart Networks and Services
Action type: Research and Innovation actions
Partnership: SNS (JU-JTI)
Countries involved: Italy,Spain,Germany,Portugal,Belgium,Greece
Call: Sustainable Capacity Networks (HORIZON-JU-SNS-2022, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 6363485.5
EU funding (EUR): 5955098.0
Participants: 17
Project status: SIGNED

The goal of the SEASON project is to design and validate a sustainable transport network infrastructure able to support beyond 5G and new emerging services. The SEASON infrastructure will rely on the joint usage of Multi-Band (MB) and Space Division Multiplexing (SDM), spanning the access, aggregation, and metro/long-haul segments, supporting the requirements for x-haul, further integrating the packet/optical and computing layers, and targeting cost-effective capacity increase. A critical objective of such architecture is to ensure energy efficiency. SEASON will rely on power-efficient Digital Signal Processing (DSP), MBoverSDM optical switching, point-to-multipoint transceivers allowing traffic aggregation/router bypassing, and converged packet-optical solutions reducing the number of O/E/O conversions. Such complex infrastructure requires rethinking the control and orchestration systems towards autonomous optical networks, addressing not only the integration - in overarching control systems - of the Radio Access Network (RAN), access and transport segments but also adopting more agile DevOps methodologies. SEASON will leverage on cognitive networks powered by streaming telemetry, real-time network measurements and Artificial Intelligence/Machine Learning (AI/ML)-aided service management and orchestration for near-real time network operation, moving intelligence as close as possible to the data plane, and devising a distributed system based on multiple communicating agents and data-driven closed control loops. SEASON will have a clear impact on the society, in a context with increased needs of connectivity and higher capacity demand required for services such as VR/AR. The SEASON consortium includes major European telecom operators (Telefonica, TIM), major vendors (ADVA, Infinera P/G, Ericsson), three consolidated SMEs (Accelleran, Wings and WestAquila) and four top-reputed research centres and academia (CNIT, CTTC, Fraunhofer HHI, and UPC).

Keywords: optical networks sdm,energy efficiency,sdn,ml ai,
Innovative multi-functional retrofitting systems for heritage structures (AESTHESIS)

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,Malta
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): 172750.08
EU funding (EUR): 172750.08
Participants: 2
Project status: SIGNED

65% of the built cultural heritage is structurally deficient due to ageing, lack of maintenance and exposure to natural and man-made hazards. This figure is expected to increase given the effects of climate change. Structural retrofitting is vital for the preservation of our cultural heritage and the safeguarding of its social and economic value. Traditional repair systems have shown inadequate long-term performance, with 20% of the repairs failing only after 5 years, thus requiring ever-increasing rehabilitation and maintenance costs. This calls for more durable retrofitting solutions capable to guarantee structural performance and provide actionable information on their damage state before safety is jeopardised. AESTHESIS will leverage state-of-the-art retrofitting systems for heritage structures using textiles embedded in inorganic matrices and transform them, for the first time, into smart systems that can “feel” the damage and repair themselves. Both textiles and matrices will be engineered through the inclusion of sustainable electrically conductive materials and industrial by-products to achieve desired electro-mechanical properties and stimulate inherent autogenous healing mechanisms. AESTHESIS will unlock the full potential of self-sensing and self-healing materials and develop an innovative all-in-one retrofitting solution with tailored functionalities to meet the specific performance criteria of heritage structures, thus enabling a paradigm shift from corrective to pro-active retrofitting. The work will be underpinned by a systematic, multi-scale, multi-physics approach, and culminate in the field demonstration of the proposed technology. AESTHESIS’s breakthrough will reinforce the European identity by providing safer and resilient heritage structures and will increase Europe’s competitiveness in the retrofitting sector by providing fundamental know-how on the design of multi-functional systems and practical design tools to promote their faster uptake.

Keywords: heritage structures,strengthening,trm,self sensing,self healing,composite materials,sustainability
BIODEGRADABLE AND RECYCLABLE GRAPHENE FIBRES TO REPLACE SYNTHETIC TEXTILES (NL-EIC)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: United Kingdom
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 12.0
Total project cost (EUR): 2300000.0
EU funding (EUR): 2300000.0
Participants: 1
Project status: SIGNED

Nanoloom produces fibre and fabric from a novel, graphene-based polymer that is high-performing, biodegradable, chemically recyclable and non-toxic. This material is an alternative to every synthetic textile currently used in apparel, which is one of the largest waste producing industries globally. The graphene-based nanocomposite material was developed and patented by Nanoloom's co-founder and scientific director. Initially created to meet stringent standards for medical applications such as membrane-based wound healing patches and fibres for nerve regeneration, the material's properties position it effectively to address the significant challenges posed by traditional synthetic textiles. It is extremely strong, elastic, lightweight and has other unique properties like moisture management and shape memory. This, along with it having been engineered to slot into existing supply chains and infrastructure for weaving and knitting, render it adoptable by an inflexible apparel industry supply chain. Nanoloom is currently producing the fibre at pilot scale, and the objectives of Nanoloom's proposal are to scale up the fibre and polymer manufacturing such that the technology can be commercialised and utilised in real garments in the market in place of environmentally problematic materials like elastane. Mills require extremely large quantities of fibre to run a single collection. Nanoloom is applying for the EIC Accelerator call to execute on this scale up stage.

Keywords: graphene nanotechnology advanced materials textiles apparel circularity sustainability
Functioning of sponge-plant association and responses to ocean warming at the holobiont level (MicroSymb)

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 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 209483.28
EU funding (EUR): 209483.28
Participants: 2
Project status: SIGNED

Seagrass meadows are among the most productive marine ecosystems, playing essential structural and functional roles, and are recognized as the most efficient blue carbon sinks globally. The plant-associated microbiome, a diverse array of microbial taxa forming intimate symbiotic relationships with seagrasses, is critical for maintaining ecosystem stability and facilitating plant adaptation to environmental stressors. In the Mediterranean Sea, however, the endemic seagrass Posidonia oceanica is in decline due to climate change-driven stressors, particularly thermal stress. The sponge Chondrilla nucula is commonly found in association with P. oceanica, and it is hypothesized that this sponge-plant symbiosis enhances the metabolic capabilities of both organisms, mediated by key microbial communities, especially under thermal stress. Despite this potential, the precise dynamics of nutrient exchange and interactions between seagrasses and sponges, facilitated by their microbiomes, remain poorly understood. This knowledge gap limits our ability to fully comprehend the ecological and metabolic functions of these associations and hinders the development of nature-based solutions to mitigate the impacts of climate change. MicroSymb aims to address this gap by studying the P. oceanica–C. nucula association through their microbiomes, utilizing field sampling, mesocosm and stable isotope probing experiments, metabarcoding, and meta-omics approaches. This project will evaluate the capacity of this association to adapt and remain resilient in the face of ocean warming. Throughout MicroSymb, I will acquire advanced skills in metagenomics, metaproteomics, and nutrient cycling within holobionts, while contributing my expertise in marine ecology, host-microbiome interactions, holobiont functioning, molecular biology, and bioinformatics. MicroSymb will position me at the forefront of host-microbiome research and the study of adaptive capacities in marine organisms amid climate change.

Keywords: seagrass meadows,microbiome,holobiont,thermal stress,adaptive capacity
Sustainable Welfare: Rethinking the roles of Family, Market and State (SUSTAINWELL)

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 Social and Economic Transformations
Action type: Research and Innovation actions
Countries involved: Spain,Austria,Slovenia,United Kingdom,France,Germany,Hungary
Call: Socio-economic effects of ageing societies (HORIZON-CL2-2022-TRANSFORMATIONS-01, 2022)
Start date: 2023-02-01
End date: 2027-01-31
Duration (months): 48.0
Total project cost (EUR): 2566066.63
EU funding (EUR): 2566066.63
Participants: 14
Project status: SIGNED

SUSTAINWELL addresses the long-term socio-economic impact of population ageing on European society. SUSTAINWELL aims will be to identify: (i) opportunities arising from longer and healthy life expectancy and in general from the silver economy; (ii) resilient responses from individuals and households (in market and non-market outcomes) and from other actors in society facing the challenges posed by ageing; (iii) the impact of ageing on inequality (both within and between generations), knowing that social cohesion is crucial to face the ageing challenge; (iv) gender and lifecycle balanced policies helping the sandwich-generation to sustain baby-boomers entering retirement, without decreasing fertility nor investment in education. Particular attention will be devoted to the role of job design to foster intergenerational complementarities in the labour market. To better understand the benefits of living longer, SUSTAINWELL will take a holistic perspective by: a) investigating the behavioural reactions in key lifetime decisions along the lifecycle (education, skills, fertility, work effort, home production, savings and retirement) and the decision process itself leading to prosocial behaviour; and b) accounting for the three ways to provide welbeing along the lifecycle (market, family and welfare state). Both dimensions will be analyzed by extending the National Transfer Accounts method (using comparable EU datasets) to be incorporated as inputs in a dynamic microsimulation comparative model quantifying the future of ageing societies. SUSTAINWELL will take a new multidisciplinary approach in different basic (Neuroscience) and social sciences (Economics, Demographics, Sociology and Political Science). SUSTAINWELL’s results will be pursued in permanent contact with stakeholders, to deliver knowledge and evidence-based policy measures by applying a participatory design and co-creation activities.

Keywords: welfare state,employment,finance sustainability,family care,fertility,migration,intergenerational transfers,dynamic microsimulation,behavior,neuroimaging,social neuroscience,reskilling