Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Doctorate Programme on Emerging Battery Storage Technologies INspiring Young Scientists 2 (DESTINY2)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: France,Austria,Belgium,Denmark,Germany,Italy,Sweden,Switzerland,United Kingdom
Call: MSCA COFUND 2024 (HORIZON-MSCA-2024-COFUND-01, 2024)
Start date: 2026-01-01
End date: 2031-03-31
Duration (months): 63.0
Total project cost (EUR): 5544000.0
EU funding (EUR): 5544000.0
Participants: 27
Project status: SIGNED

DESTINY2 (Doctorate Programme on Emerging Battery Storage Technologies INspiring Young scientists) is a new excellent doctoral programme led by the French CNRS for the recruitment and training of 42 doctoral candidates under five major thematic areas in energy storage & battery research, while fulfilling all the principles of Open Science and maintaining the highest research quality standards: Post Li-Ion Technologies; High-Power Devices; Battery Manufacturing & Recycling; Advanced Methods, New Materials & Electrolytes. DESTINY2 represents a new milestone towards the consolidation of an excellent partnership as the “European doctoral school on batteries” through a unique consolidated program, in strong collaboration with European industry and associated partners among which 17 Cofunders (7 private companies and 7 grading universities). As a follow-up of the original DESTINY COFUND programme, and with the aim of recruiting and training excellent doctoral researchers as the next-generation of scientists at the vanguard of European battery research, DESTINY2 goes one step further by strengthening the collaborative approach of DESTINY while enhancing the potential and future career perspectives of recruited fellows and consolidating the excellence and outstanding track-record of the beneficiary CNRS and participating entities. The programme will deliver a holistic approach to training & career development through an innovative training programme that combines research-oriented and demanding soft skills, in alignment with excellence in HR policies and the Charter & Code. The international & intersectoral aspects of the programme are boosted by the intense collaboration at ecosystem level through the participation of 39 partner organisations, including the most relevant European industries in battery and energy storage as well as large-scale facilities.

Keywords: energy storage,batteries,doctoral programme,interdisciplinarity,intersectoral,international
Urban climate justice and community participation: towards inclusive adaptation strategies (RESTART)

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,United States,Spain
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-12-01
End date: 2027-11-30
Duration (months): 36.0
Total project cost (EUR): 288859.2
EU funding (EUR): 288859.2
Participants: 3
Project status: SIGNED

Cities are considered the most vulnerable areas to climate risk since they are strongly affected by the impacts of climate change, mainly extreme events. Despite most cities worldwide are developing adaptation plans, scarce consideration is given to the unequal impacts of climate change and adaptation actions, raising scholar’s attention on the issue of justice. Furthermore, such plans lack standardized approaches to perform holistic and integrated analysis of risk. Answering to this urgent challenge is at the core of the climate debate in cities. RESTART aims to re-address the discussion by focusing on the issue of justice to face climate change in cities, by integrating the three dimensions of climate justice (procedural, distributional, recognitional) and designing an operational framework for the adoption of a model for just and inclusive adaptation plans. Padua (Italy) and Tempe (US) represent two paradigmatic case studies for climate extremes (heatwaves) where I aim to respond to three timely and ambitious objectives: SO1) mapping the spatial distribution of heatwave hazard, SO2) identifying the distribution of the present adaptive capacity of cities (distributional justice) and recognizing the socio-economic vulnerabilities of citizens (recognitional justice), and SO3) implementing a spatially-based and inclusive methodology (procedural justice) that integrates SO1 and SO2 results to identify and map the urban sectors and population to be prioritized. The GIScience interdisciplinary approach is adopted to integrate the complex dimensions of heatwave hazard, socio-economic vulnerabilities, and adaptive capacity of urban territory, by combining quali-quantitative approaches, with the added value to include stakeholders perceptions. In conclusion, RESTART will contribute to a replicable standardized methodology that facilitates holistic analysis of (in)equity and (in)justice to be incorporated in European and international adaptation strategies and plans.

Keywords: urban climate justice,adaptation strategies,gis,climate change,urban resilience,social inclusion
Airborne Wind Energy TRAining for Industrialization Network (AWETRAIN)

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: Information Science and Engineering
Countries involved: Denmark,Netherlands,Germany,Italy,Norway,Belgium
Call: MSCA Doctoral Networks 2023 (HORIZON-MSCA-2023-DN-01, 2023)
Start date: 2024-12-01
End date: 2028-11-30
Duration (months): 48.0
Total project cost (EUR): 3570809.14
EU funding (EUR): 3325615.2
Participants: 8
Project status: SIGNED

The objective of AWETRAIN is to train 12 ESRs on how Airborne Wind Energy (AWE) can be integrated into the industrial energy system. Disruptive innovation like this, is needed to fulfill the goals of the Green Deal, Fit for 55, the revised RES Directive and the Offshore Energy Strategy. AWE can access wind resources conventional cannot, thus, can help fill gaps in renewable energy generation. Furthermore, it has the potential to cut the capital cost of wind energy by half, while doubling the production capacity. The research program is based around 10 attractive multi-disciplinary ESR projects, distributed across Universities and technology start-ups. The first scientific workpackage looks at improving the reliability of the devices so that it is viable for industrial exploitation. The second scientific workpackage will contain ground-breaking research, looking at how the technology can be scaled up to construct grid-scale power plants. The final ground-breaking scientific workpackage, looks at the potential impact of this technology on European electricity grids and the transformations needed in society and the AWE sector to acheive these benefits. The intersectoral training will develop the skills needed in the energy industry to facilitate the green transition. Increasingly professionals need to work in multi-disciplinary teams, have the awareness of how their sector is evolving and the agility so their work can be adapted for maximum impact. The skills developed in this network can be transferable to industrializing any emerging technology. This will give the ESRs highly attractive skills, for transforming ideas into products, that will boost their career prospects. This will be done through networking among their scientific peers and engaging with the general public. For the institutes, the ambitious research and training, implemented though international collaboration, will greatly enhance our own training innovation capacities.

Keywords: airborne wind energy,meteorology,atmospheric physics and dynamics,optimization,uncertainty quantification
Sepsis Biomarker Identification in Extracellular Vesicles of Dogs (SepBiEV-D)

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: Croatia,Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-04-01
End date: 2027-03-31
Duration (months): 24.0
Total project cost (EUR): 187631.76
EU funding (EUR): 187631.76
Participants: 2
Project status: SIGNED

Sepsis, the organ dysfunction triggered as a consequence of deleterious inflammatory host response to infection, has a 26% mortality rate in humans. However, there is a lack of reliable biomarkers for its accurate diagnosis. Extracellular vesicles (EVs) are small particles naturally released from the cells with promising applications in diagnosis and disease monitoring. This Project aims to evaluate salivary and serum EVs as sources of novel biomarkers in a naturally occurring model of sepsis using a multidisciplinary approach. For this, canine pyometra, a naturally occurring animal model for human sepsis, will be used. Different isolation methods for EVs and their subpopulations will be evaluated, and the most feasible will be selected. Isolated EVs will be characterized using proteomics, metabolomics, and biochemical analyses. Last, the quantity and characterization of EVs will be compared between dogs meeting sepsis criteria and those obtained from healthy individuals and animals with inflammation. This would point out different biomarkers of sepsis to be further evaluated. The results of this Project would help improve sepsis diagnostics, which can highly increase patient survival and promote adequate use of antibiotics, ultimately fighting against antimicrobial resistance. Plus, it will support using saliva as a non-invasive sample for sepsis diagnosis. Last, it is expected that the sepsis biomarkers identified in this Project could be extrapolated to other species, including humans.

Keywords: extracellular vesicles,exosomes,microvesicles,exosomics,multiomics,animal model,saliva,non invasive samples,sepsis,infectious diseases,inflammation,diagnosis,biochemistry,biomarkers
Model-based Reinforcement Learning for Versatile Robots in the Real World (REAL-RL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
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): 1998500.0
EU funding (EUR): 1998500.0
Participants: 2
Project status: SIGNED

REAL-RL proposes a path to autonomous robots that learn from experience. By learning to solve new and challenging tasks and exploiting their specific capabilities, they could become ubiquitous assistants to humans in an uncountable number of tasks. Current control strategies for robots are developed only for particular tasks and are not versatile. To ensure their functioning, it is necessary to have highly accurate physical models that precisely match all the essential aspects of the real world. REAL-RL follows a different path: a learning approach to robot control. The dominant direction in the field uses model-free reinforcement learning methods that need an incredible number of interactions with the world – often prohibitive for real robots. As a bypass, simulations are used but require detailed knowledge of all possible situations that the robot might encounter. These problems are circumvented in REAL-RL by proposing a model-based approach. Models of the interaction with the world are learned from experience and will be used to plan and adapt behavior on the fly. This approach promises to be much more data-efficient and allows to transfer of valuable experience between tasks. Fundamental challenges in model-learning, safety-aware exploration and planning, and higher-order reasoning are identified and presented here with concrete novel solution ideas, such as a causal inductive bias for deep dynamics models, risk-aware real-time general trajectory optimization, and differentiable discrete planning. Critical stepping stones, such as probabilistic models and fast trajectory planning, have just been developed by the community, and the applicant. By aiming at a generic learning method that can be used to control any robot – rigid or soft – with legs, arms, or other end-effectors for manipulation and locomotion tasks, and make them improve with experience, the proposal develops a solid basis for future robotic applications.

Keywords: machine learning,model based reinforcement learning,planning,simulation to real transfer
NUTRIENT FLUCTUATIONS AND THE INTEGRATIVE STRESS RESPONSE AS METABOLIC CELL FATE DETERMINANTS IN B CELL LYMPHOMA (NutFLirsFA)

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 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 165312.96
EU funding (EUR): 165312.96
Participants: 1
Project status: CLOSED

Metabolic reprogramming enables cells to adopt different phenotypes, providing flexibility in response to environmental stress, of particular relevance during tumour development. I recently demonstrated that the transcription factor MITF, known regulator of cell transitions in melanoma, controls the expression of the fatty acid (FA) desaturase SCD1. The MITF/SCD1 axis maintains cell differentiation, while its suppression by starvation-induced Integrative Stress Response (ISR) originates dedifferentiation and melanoma progression. Our findings support that metabolic rewiring and phenotype switching are interconnected events that govern tumour progression. As in melanoma, B-cell differentiation depends on MITF activity, FA metabolism and a dynamic modulation of ISR, but weather an interplay among these factors dictates B-cell fate is still unknown. Importantly, MITF is regulated by mTORC1/RagGTPase signalling, pathway frequently mutated in B-cell lymphomas. I hypothesize that the ISR/MITF axis and FA metabolism enable normal and pathological B cells to adapt to stress, and critically licenses switches in phenotypic identity and B-cell behaviour. Thus, I will establish if and how MITF and FA composition control B-cell transitions and impact lymphomagenesis, along with its regulation by the ISR. We propose that abnormal ISR and MITF/SCD1 deregulation corrupts B-cell differentiation process, contributing to lymphomagenesis. This proposal aims at shedding light on the interplay between nutritional signals and stress-related cellular responses that precipitate cancer cell transitions through the regulation of specific transcriptional programs controlling metabolic rewiring.

Keywords: mitf,mit family members,isr,fatty acids,nutrients,ragc mutations,b cell,cell fate,lymphoma
CO2MVS Research on Supplementary Observations (CORSO)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Space
Destination: Open Strategic Autonomy in Developing, Deploying and Using Global Space-Based Infrastructures, Services, Applications and Data
Action type: Research and Innovation actions
Countries involved: United Kingdom,Poland,Spain,France,Germany,Netherlands,Sweden,Switzerland
Call: Copernicus Anthropogenic CO₂ Emissions Monitoring & Verification Support (MVS) capacity (HORIZON-CL4-2022-SPACE-01, 2022)
Start date: 2023-01-01
End date: 2025-12-31
Duration (months): 36.0
Total project cost (EUR): 5293676.25
EU funding (EUR): 5293676.0
Participants: 18
Project status: SIGNED

To support EU countries in assessing their progress for reaching their targets agreed in the Paris Agreement, the European Commission has clearly stated that an objective way to monitor anthropogenic CO2 emissions is needed. Such a capacity will deliver consistent and reliable information to support policy- and decision-making processes. To maintain Europe’s independence in this domain, it is imperative that the EU establishes an observation-based operational anthropogenic CO2 emissions Monitoring and Verification Support (CO2MVS) capacity as part of its Copernicus programme. The H2020 projects CHE and CoCO2 have already started the ramping-up of the CO2MVS prototype systems, so it can be implemented within the Copernicus Atmosphere Monitoring Service (CAMS) with the aim to be operational by 2026. The CORSO project will further support establishing the new CO2MVS addressing specific research & development questions. CORSO will deliver the capabilities at global and local scale to optimally use observations of co-emitted species using their emission ratios and uncertainties to better estimate anthropogenic CO2 emissions. CORSO will also assess the added-value of high-temporal resolution in-situ 14CO2 and APO observations in global and regional scale inversions and of satellite observations of soil moisture, LAI, SIF, and Biomass in the global CO2MVS system to better separate the impact of fossil fuel and biospheric fluxes on the atmospheric CO2 concentrations. The main long-term impact of CORSO will come through the delivery of documented methodologies, prototype systems, and recommendations, addressing the identified topics above, feeding into the ramping-up of the operational CO2MVS capacity and therefore ensuring a more comprehensive and accurate CAMS anthropogenic CO2 emission monitoring and verification support capacity.

Keywords: co2,carbon dioxide,radiocarbon,co2mvs,copernicus,cams,monitoring,emissions,observations,satellites,in situ,data assimilation,inverse modelling
Legal Governmentality - governing climate activism through criminal law and human rights in Europe (LeGo)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Human Mobility, Environment, and Space
Panel description: Human geography, demography, health, susta inability science, territorial planning, spatial analysis
Countries involved: Switzerland
Call: ERC STARTING GRANTS (ERC-2025-STG, 2025)
Start date: 2026-02-01
End date: 2031-01-31
Duration (months): 60.0
Total project cost (EUR): 1499875.0
EU funding (EUR): 1499875.0
Participants: 1
Project status: SIGNED

Since 2018, the European climate movement has embraced civil disobedience to denounce government inaction on climate mitigation. Governments increasingly respond with criminalization of climate civil disobedience, while NGOs, activists and transnational institutions (e.g. Amnesty Intl., the UN) defend it. Criminalization and defense of civil disobedience highlight a growing tension between state efforts to restrict political protests (often by treating protests as a matter of security), and transnational efforts to legitimize protests (usually treating them as a matter of rights). LeGo advances our understanding of criminalization and rights-based defense of climate civil disobedience in the UK (common law system) and in Germany (civil law system). Both countries are at the center of a growing repression of climate civil disobedience. To date, there is little understanding of how criminalization and defense of climate civil disobedience affect activists and the climate movement. The main research objective is to examine how the use of criminal law and human rights discourses shapes the legal consciousness and conduct of climate activists. To this end, the project examines criminal trials against climate activists; state efforts to pass new laws and mobilize criminal codes and security frames to prosecute activists; efforts of transnational actors and institutions to counter criminalization; and climate activists’ perceptions of and responses to criminalization and rights-based defense. LeGo adopts a mixed method approach drawing on methods and concepts from political and legal anthropology and geography, social movements and mobilization studies, and critical legal studies. Theoretically, the project advances our understanding of how environmental activism is governed through the uses of law and rights. Empirically, the project highlights the consequences of criminalization on the European climate movement, (trans)national climate politics, and the rule of law.

Keywords: governmentality,civil disobedience,climate activism,law,human rights
Virtual tissue staining by deep learning (IFLAI)

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: Sweden
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2023-05-01
End date: 2024-10-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Our goal is to create a virtual tissue-staining device to replace manual chemical-staining techniques by integrating optics and deep learning. Chemical staining of cell components plays an essential role in biomedical and pharmaceutical research and practice. Cell structures of interest are highlighted using various chemical stains and imaged with the appropriate optical setup. However, these techniques are often invasive and sometimes even toxic to the cells, in addition to being time consuming, labor intensive, and expensive. Recently, the use of deep learning has been proposed as a way to create images of virtually stained cell structures, thus mitigating the inherent problems associated with the conventional chemical staining. However, these methods are usually specialized for a specific application and, thus, highly dependent on the setting of the optical device used for acquiring the training data. In order to make virtual tissue-staining more accessible to end-users, we propose a device based on a simple optical system with an integrated deep-learning-powered virtual-staining software. This is an ideal moment to enter the virtual tissue-staining market because we can gain a first mover advantage. Further, we can take advantage of the fact that the tissue-staining market is expected to grow with a compound annual rate of roughly 8.5% until 2025 (up to 3400M USD), and to continue to grow for the foreseeable future. As part of this project, we aim to launch the startup company IFLAI to commercially exploit our virtual-staining technology and the prototype we will develop. With the startup IFLAI, we aim to provide ~20 jobs to university-educated individuals in the EU within the next 5 years. IFLAI has already received initial funding and support from two different organisations that support and believe in its venture.