Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
REstorative GENder-specific ExpeRiences in urbAn naTural Environments (REGENERATE)

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,United Kingdom,Kenya
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2025-02-10
End date: 2027-02-09
Duration (months): 24.0
Total project cost (EUR): 165312.96
EU funding (EUR): 165312.96
Participants: 3
Project status: SIGNED

REGENERATE explores gender differences in how urban natural environments (UNE, comprising parks, seaside, and other green and blue spaces in cities) can support psychological restoration (i.e. recovery of depleted cognitive and psychophysiological resources, including recovery from psychological stress). It addresses challenges of urban sustainability, gender inequality, and poor mental health – all key for Europe and Horizon. The nature-health research field suggests that nature contact is restorative and promotes long-term health benefits. However, to date nature-health theories and evidence tend to lack a gender focus. This is despite women are up to seven times more likely than men to report depression. Regenerate explores how restorative benefits of UNE can be affected by gender (e.g. socio-cultural norms, attitudes, and behaviours), due to gender roles and relations (e.g. childcare responsibilities), gender stereotypes (i.e. what is socio-culturally appropriate for women) and sex-related biological attributes (i.e. needs to use restroom more often than men) – thus addressing a key theoretical and empirical blind spot. Specific objectives include i. reviewing evidence and identify factors affecting women’s nature-health restorative pathways in UNE, ii. exploring gender-specific experiences in UNE and related long-term restorative benefits, and iii. integrate findings into policy. The methodology includes a review of the evidence and analyses of secondary data on nature-health from four European countries representing diverse European regions. Results then inform real-world policy. REGENERATE contributes to policies for healthy, gender inclusive, and sustainable cities (SDG3 Good Health & Wellbeing, SDG5 Gender Equality, SDG11 Sustainable Cities and Communities). It contributes to making cities good for all, guided by the feminist urbanism principle that if public spaces are good for women, they will be good enough for everyone.

Keywords: nature health gender urban environments stress recovery wellbeing secondary data analyses
Belonging for Single Migrant Men: A Cross-Country Comparative Perspective (MENBELONG)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Germany,Canada,Thailand,Chile,Türkiye
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2026-02-01
End date: 2031-01-31
Duration (months): 60.0
Total project cost (EUR): 2499917.0
EU funding (EUR): 2499917.0
Participants: 5
Project status: SIGNED

The successful integration of migrant populations requires that individuals who permanently relocate to a host country develop a sense of belonging. This involves not only economic and legal integration, but also the sharing of values, practices, and social networks with others. Single men form the largest group within global migration flows but face the harshest challenges to successful integration and belonging. They are frequently viewed as taking away opportunities from citizens and are deprioritized in social services in favour of families and women. They are also often stereotyped as hypersexualized or criminal. In the face of these obstacles, single migrant men create a range of unique belonging strategies that take place outside family networks and formal integration processes. Yet existing migration research tends to focus on the experience of women and families and the integration of specific groups of migrant men (usually Muslim) in Western democracies. As a result, we know very little about how single migrant men develop a sense of belonging outside of these restricted contexts. In this project, I investigate single migrant men’s experiences of belonging across five countries that have experienced abrupt, large-scale migration flows and that have different gender equality levels and integration policies. These groups include Syrians in Türkiye, Mexicans in Canada, Turks in Germany, Myanmarese in Thailand, and Venezuelans in Chile. My team includes country experts from the disciplines of migration studies, anthropology, sociology, gender studies, and community mental health with expertise in archival research, experimental surveys, interviews and photovoice. I draw on these perspectives to develop a theory of migrant belonging. This comprehensive approach will impact theories of migration and gender by providing intersectional and international insights into how single migrant men develop a sense of belonging in the face of serious challenges.

Keywords: masculinity,intersectionality,belonging,stigma,mixed methods research,non eu countries
Augmented Perception Platform for Industrial Machine Fitness (APP)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Sweden
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Everything we see and use carries the fingerprint of metal working production machines. They are the backbone of manufacturing and contribute to over 3 trillion USD worth of products every year. But metal working machines lose up to 30% productivity over time, the main cause being unplanned downtime due to equipment failure. The solution would be monitoring these machines in real time, to prevent such failures, but this poses several challenges that make it unfeasible...until now: (1) connecting and managing tens of thousands of machines is a complex task, with no scalable solution available; (2) the use of unexplainable ”one-size-fits-all” black box AI models have very limited usefulness, and (3) all solutions rely on poor quality data, coming from principles developed in the 1970s so they cannot provide a useful insight to machine health. This is where IPercept comes in. We have developed the world’s first fitness tracker for complex metal working machines, which uses novel sensors adapted from the aerospace industry, with 1000x more sensitivity, to gather the right data to provide real actionable insights into machine health. Combined with the most advanced and complex AI analytics to identify mechanical failures in real time, our platform allows assets managers to plan the most appropriate maintenance actions, and effectively returns the 30% productivity losses found in the industry. We have already garnered the interest of major players in the manufacturing industry, like Scania, Volvo, Saab, Toyota, Bosch, Airbus, who have been running pilot tests for the last 2 years. The results were clear: we have outperformed every solution we have been benchmarked against. Now our ambition is clear: we want to become the leading supplier of predictive maintenance and operational improvement solutions for producers and users of complex metal working machines by 2035, and expand into growing markets like automotive, aerospace, energy, medical devices and battery production.

Keywords: edge computing,industrial ai,operational improvement,manufacturing industry,resource efficiency
Optimising a Deployable High Efficacy Multi-Stage Vaccine for Plasmodium falciparum Malaria: 2nd Generation Malaria Vaccine Consortium (MVC-2G)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Public-private partnerships
Destination: Global Health EDCTP3
Action type: Research and Innovation actions
Partnership: EDCTP3 (JU-JTI)
Countries involved: United Kingdom,Sierra Leone,Nigeria,Senegal,Tanzania, United Republic of,Germany,Denmark,Burkina Faso
Call: Research on existing Malaria vaccines and development of new promising candidates (HORIZON-JU-GH-EDCTP3-2024-01-two-stage, 2024)
Start date: 2025-09-08
End date: 2030-09-07
Duration (months): 60.0
Total project cost (EUR): 14999800.0
EU funding (EUR): 14999800.0
Participants: 9
Project status: SIGNED

The 2nd Generation Malaria Vaccine Consortium (MVC-2G) will build on the programmatic use of the first-generation Plasmodium falciparum vaccine, R21 with Matrix-M™, and accelerate the clinical development of the leading second-generation multi-stage P. falciparum malaria vaccine comprising R21 and two novel blood-stage components, RH5.1 and R78C, all formulated in Matrix-M™. It will achieve this through a multi-disciplinary workplan, underpinned by international cooperation, that will accelerate the future achievement of the United Nations’ Sustainable Development Goal 3 (SDG3) in sub-Saharan African countries. Its specific objectives are to: 1. Demonstrate safety and superior efficacy against clinical malaria (over R21/MM alone) of the leading second-generation multi-stage vaccine candidate R21+RH5.1+R78C/MM in a Phase 2b trial in 5-17 month old African infants, in a seasonal setting; 2. In parallel, undertake Phase 1b assessment of the second-generation multi-stage vaccine in African infants to define a 3 or 4 dose delivery schedule that is better aligned with EPI and end-user community expectations, aiming for lower cost of goods and to facilitate improved future uptake of a second-generation product; 3. Demonstrate safety and superior efficacy of the multi-stage vaccine (over R21/MM alone) delivered in an optimised age-based schedule in a multi-site Phase 2b trial in African infants in seasonal and perennial settings; 4. Generate evidence to support use of the multi-stage vaccine in future malaria elimination campaigns by assessment of i) efficacy in adults by CHMI, and ii) safety and immunogenicity in older children; 5. Support the next-generation of early-career African scientists, across all partners in the Consortium, by growing a South-South network to facilitate hands on clinical and laboratory training; and 6. Undertake early engagement with regulators in partner countries to facilitate translation and future registration of this multi-stage vaccine.

Keywords: multi stage high efficacy durable deployable blood stage rh5 antibody
Algorithmic Bias Control in Deep learning (A-B-C-Deep)

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: Israel
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2022-06-01
End date: 2027-05-31
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Deep Learning (DL) has reached unparalleled performance in many domains. However, this impressive performance typically comes at the cost of gathering large datasets and training massive models, requiring extended time and prohibitive costs. Significant research efforts are being invested in improving DL training efficiency, i.e., the amount of time, data, and resources required to train these models, by changing the model (e.g., architecture, numerical precision) or the training algorithm (e.g., parallelization). Other modifications aim to address critical issues, such as credibility and over-confidence, which hinder the implementation of DL in the real world. However, such modifications often cause an unexplained degradation in the generalization performance of DL to unseen data. Recent findings suggest that this degradation is caused by changes to the hidden algorithmic bias of the training algorithm and model. This bias selects a specific solution from all solutions which fit the data. After years of trial-and-error, this bias in DL is often at a "sweet spot" which implicitly allows ANNs to learn well, due to unknown key design choices. But performance typically degrades when these choices change. Therefore, understanding and controlling algorithmic bias is the key to unlocking the true potential of deep learning. Our goal is to develop a rigorous theory of algorithmic bias in DL and to apply it to alleviate critical practical bottlenecks that prevent such models from scaling up or implemented in real-world applications. Our approach has three objectives: (1) identify the algorithmic biases affecting DL; (2) understand how these biases affect the functional capabilities and generalization performance; and (3) control these biases to alleviate critical practical bottlenecks. To demonstrate the feasibility of this challenging project, we describe how recent advances and concrete preliminary results enable us to effectively approach all these objectives.

Keywords: deep learning,theory,optimization
BRinging Evidence-bAseD food Chain solutions to prevent and RedUce food waste related to Marketing standards, and deliver climate and circularity co-Benefits (BREADCRUMB)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Fair, healthy and environmentally-friendly food systems from primary production to consumption
Action type: Research and Innovation actions
Countries involved: Belgium,Italy,Denmark,Slovenia,Spain,Germany,Portugal
Call: Providing marketing solutions to prevent and reduce the food waste related to marketing standards (HORIZON-CL6-2023-FARM2FORK-01, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 5686117.84
EU funding (EUR): 5003746.41
Participants: 22
Project status: SIGNED

Understanding the impacts of food marketing standards is quite complex as, they cover various sectors, are regulated at different levels, and have potential side-effects. Their interaction with Food Waste (FW) remains unclear, with the existing evidence being limited and contradictory. Furthermore, as marketing standards are introduced to meet wider objectives, trade-offs between such objectives and FW prevention, need to be assessed. This assessment should guide a re-balancing of marketing standards, to effectively meet contradicting goals. At the same time, FW, once accounted as a liability, is increasingly considered a potential source of business value, with suboptimal – but still safe to eat – foods, being a case still unexplored. What is needed therefore, is a dual approach, that first prevents FW generation by ‘re-balancing’ food marketing standards, and then improves market access to suboptimal foods to prevent them from becoming FW. Drawing from all above, BREADCRUMB will (1) create an inventory of private and interrelated public food marketing standards, and will provide an understanding of their purpose and nature, (2) will create an empirical evidence base to generate estimates of FW related to marketing standards in five food commodities (fruit & vegetables, meat, eggs, cereals, fish), (3) will model the underlying mechanisms through which, marketing standards lead to FW generation, and the trade-offs between the objective of preventing FW reduction and other objectives pursued by marketing standards, and will use the results to propose a re-balancing of existing standards, (4) will improve market access to suboptimal foods by guiding food businesses to select appropriate marketing channels and to quantify their business value, and by fostering change in consumers’ acceptance of suboptimal foods, and (5) will structure the previous results into operational and policy guidance on how to prevent/reduce FW related to marketing standards.

Keywords: consumption patterns,consumer behaviour,agent based modelling
Real Space-Time imaging and control of Electron Dynamics (STED)

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: Physics
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-08-01
End date: 2025-07-31
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 1
Project status: SIGNED

The STED project aims at giving an important push to the scientific career of the applicant, in a timely and interdisciplinary topic: imaging the early stages of quantum motion of electrons at their natural space-time scales, i.e., with picometer and attosecond/femtosecond resolutions. The project will take place at IMDEA Nanoscience, a leading multidisciplinary research center dedicated to nanoscience and the development of nanotechnology applications in connection with innovative industries. Electron motion in molecular systems is responsible for natural processes such as photosynthesis, photooxidation, or electronic transport. It is also at the heart of novel technologies based on photovoltaic devices, artificial photosynthesis, molecular wires, etc. Understanding the underlying electron dynamics demands investigating these processes at their natural spatial and temporal scales. In the STED project, I will build a setup where a CW laser and few-femtosecond long laser pulses will be combined with a low-temperature STM. This setup will allow me to image and eventually control electron dynamics occurring in different molecular systems deposited on solid substrates at electronic time scales from hundreds of attoseconds to a few femtoseconds, with simultaneous sub-molecular spatial resolution. I will focus on investigating Rabi oscillations of individual phthalocyanine molecules, and charge-transfer processes between a donor and an acceptor phthalocyanine. The goals are to spectroscopically characterize the induced electron dynamics in real space with the CW laser, and subsequently provide the 'film' of the distribution of the electronic density in real time and real space with the pulsed laser source. This will allow me, e.g., to understand the origin of early sources of decoherences that reduce the efficiency of electronic transport, with possible implications in photovoltaics and quantum information technologies.

Keywords: ultrafast electron dynamics,ultrafast scanning tunneling microscopy,space time imaging,ultrafast charge transfer,cw laser,rabi splitting,rabi oscillations
Antibacterial Implant Device Technology (AIDTeQ)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Germany
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 24.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

aap Implantate AG is a global medical technology company listed on XETRA that develops, manufactures, and markets implants in the field of traumatology. The company has developed an antibacterial implant technology (AIDTeQ) that has the potential to prevent and combat healthcare-associated infections (HAIs), like infections caused by medical implants, and to address one of the most serious threats to public health worldwide: antimicrobial resistance or the "silent pandemic", which has become one of the World Health Organisation's most committed priority projects. Furthermore, AIDTeQ supports the European Commission's One Health approach by helping to sustainably balance and optimise the health of humans, animals, and ecosystems. This is in line with the Council Recommendation (9581/23) on stepping up EU action against antimicrobial resistance under the One Health approach (legal basis proposed by the Commission: Article 168(6) TFEU), which aims, inter alia, to reduce antimicrobial resistance (AMR) and antimicrobial consumption (AMC) by strengthening infection prevention and the responsible use of antimicrobials. A human clinical trial is currently being conducted in Europe to demonstrate the safety and clinical benefit of AIDTeQ (TRL6). The financial support (grant and equity) requested in this application will be spent on activities to extend the technology to aap's entire trauma portfolio and make it available for other non-trauma applications such as hip, knee, and shoulder endoprostheses, implantable cardiac implants, spinal implants, and dental implants. In addition, the financial support will be used for the expansion of the production facility for aap's antibacterial trauma portfolio, for necessary CE, US, and China approvals and for the subsequent market entry activities.

Keywords: prophylaxis,therapy,infection,antibacterial surface treatment,implants,traumatology,endoprosthetics,cardiovascular diseases,spine,dental,surgical instruments,medical technology
Development of Chiral Carbon Dots for Boosting Cancer Immunotherapy (ChiralBoost)

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: Chemistry
Countries involved: France,Belgium
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-08-01
End date: 2026-07-31
Duration (months): 24.0
Total project cost (EUR): 195914.88
EU funding (EUR): 195914.88
Participants: 2
Project status: SIGNED

Cancer immunotherapy is considered an effective cancer treatment strategy. However, there are still some obstacles, including the unresponsive state of the immune system to tumor antigen stimulation. In the last years, researchers have found that nanomaterials can modulate the immune system. Among many excellent nanomaterials, carbon-based nanomaterials stand out due to their good biocompatibility. Compared to the rich research on carbon nanotubes and graphene oxide, the research on carbon dots (CDs) in immunotherapy is still in its infancy. In ChiralBoost, we intend to explore the application of chiral carbon dots (Ch-CDs) in cancer immunotherapy. Ch-CDs will be synthesized by hydrothermal and microwave methods using protected L/D-tyrosine and L/D-tryptophan as precursors. Then, a tumor antigen model ovalbumin peptide and the immune adjuvant monophosphoryl lipid A will be grafted onto the Ch-CDs through post-functionalization. Next, the interaction and the immune response of the Ch-CDs on primary immune cells in vitro and in vivo, such as the ability to accelerate dendritic cell maturation and the ability to stimulate cytokine production will be explored. The generated results will open the way to explore the potential of Ch-CDs in cancer immunotherapy The conduct of this project is not only expected to the development of Ch-CDs-based anticancer nanomedicines but will also pave the way for biomedical applications of chiral nanomaterials in other potential clinical applications. The assembled research team is totally capable of achieving the ambitious objectives of the proposed project. The researcher, Dr. Hu, is a multidisciplinary researcher specializing in diverse carbon nanomaterials. The main supervisor (Dr. Alberto Bianco, Institute of Molecular and Cell Biology, CNRS) is among the pioneers of biomedical carbon-nanomaterials research, and the secondment co-supervisor (Prof. Sara Bals, University of Antwerp) is a renowned expert on microscopic techniques.

Keywords: carbon dots,chirality,amino acids,immune response,cancer immunotherapy