Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Affective Computing Models: from Facial Expression to Mind-Reading (ACMod)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Finland,Viet Nam,Thailand,Indonesia,France,United Kingdom,Malaysia,China
Call: MSCA Staff Exchanges 2022 (HORIZON-MSCA-2022-SE-01, 2022)
Start date: 2024-03-01
End date: 2028-02-29
Duration (months): 48.0
Total project cost (EUR): 846400.0
EU funding (EUR): 846400.0
Participants: 15
Project status: SIGNED

Mind reading plays an indispensable role in human social interaction and communication. One of the key factors in mind reading is facial expression analysis. It is thus crucial to understand and model facial behaviors reflecting mental states to enhance communication experience with robots and other intelligent agents in either real social interaction or augmented virtual environments. As well, consistent cross-cultural disagreement about the emotion and intensity conveyed by gold-standard universal facial expressions questions the universality hypothesis. In recent years, even though automatic facial expression analysis has achieved excellent progress, the research of emotion understanding in realistic environment across cultures is still lacking. Substantial psychological works support the use of the appraisal theory for internal emotion detection through facial behaviors, while research in computer science mainly focuses on facial modelling but ignoring the underlying biologically-driven mechanism. Therefore, we plan to reconstruct facial macro- and micro-expressions and digitise emotion appraisal, collect 4D (dynamic 3D) facial expression dataset with culture diversity and develop autonomous 4D facial model based on the collected 4D data and cultural emotion appraisal theory, and push forward commercialisation. ACMod project aims to advance the state of the art in understanding and modelling naturalistic facial behaviours in social interaction cross various cultures, which is essential to the next generation of human-computer interaction, robotics and augmented virtual reality techniques. This project will open up a new avenue for modelling facial behaviors by taking a fundamentally different and interdisciplinary approach, combining theories and techniques in e.g. psychology and computer science with an emphasis on social interaction applications. The project will promote knowledge exchange between EU and East Asian partners to foster the researchers involved.

Keywords: emotional facial expressions,social interaction,digital avatar,human computer interaction,3d face modelling
A non-inferiority randomized trial testing an advice of modeA non-inferiority randomized trial testing an advice of moderate drinking pattern versus advice on abstention on major disease and mortality (UNATI)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Prevention,  Diagnosis and T reatment of Human Diseases
Panel description: Medical technologies  and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions , pharmacology, preventative  medicine, epidemiology and public health , digital medicine
Countries involved: Spain
Call: ERC ADVANCED GRANTS (ERC-2022-ADG, 2022)
Start date: 2023-12-01
End date: 2028-11-30
Duration (months): 60.0
Total project cost (EUR): 2498466.0
EU funding (EUR): 2498466.0
Participants: 1
Project status: SIGNED

Europeans are the largest alcohol consumers. Policymakers and clinicians are currently perplexed on how to reduce alcohol harms in drinkers, due to contradictory guidelines: abstention is proposed as the healthiest option by many health advocates, stating that “there is no safe level of alcohol intake”; but most nonrandomized studies found lower all-cause mortality and other outcomes in moderate drinkers than in abstainers among subjects >50 years. However, potential biases may compromise these latter studies, particularly when effects are null or moderate. A large pragmatic randomized controlled trial (RCT) of realistic advice aimed to change behavior addressing clinical endpoints is long overdue. It will provide first-level evidence to confront the harms of one of the most widely used substances by humankind. Business issues and conflicts of interests are also at stake. We propose a 4-year non-inferiority RCT with >10,000 drinkers (men 50-70 years or women 55-70 years consuming >=3 but <40 drinks/wk). To reduce alcohol-associated harms they will be randomized in a 1:1 ratio to 2 advices: 1) abstention; 2) moderation (<=7 drinks/wk (females) and <=14 drinks/wk (males)), and avoidance of binge drinking, with preferential consumption of red wine with meals, and consumption spread out throughout the week. Moderate consumption is hypothesized to be non-inferior. No participant will be invited to increase his/her alcohol intake. The primary endpoint will be a global index of all-cause mortality, cardiovascular events, cancer, liver disease, depression, dementia, diabetes, tuberculosis or other major infection or injury. The difficulties for feasibility are significant, but more complex large behavioral trials developed by the principal investigator (PREDIMED and PREDIMED-Plus, two largest nutritional trials conducted in Europe) have attained sufficient compliance in changing not only one aspect of the dietary pattern (alcohol) but many aspects of diet and lifestyle.

Keywords: alcohol,dietary intervention,non inferiority pragmatic trials
Multiscale Frameworks for Biosolutions (FrameBio)

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: Denmark,Belgium,Germany,Italy,Estonia,Iceland,Spain,Luxembourg,Brazil
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 4045560.99
EU funding (EUR): 3926417.4
Participants: 16
Project status: SIGNED

Multiscale Frameworks for Biosolutions FrameBio’s goal is to revolutionise biotechnology by developing comprehensive computational modules that simulate microbial behaviour of bioproducts (for food applications, such as Single Cell Proteins) and quantifying its resource dependencies across various scales: Microorganism Design and Engineering - Fermentation Design of Experiments coupled with High Throughput Screening - Commercial Production Scheme Simulations - Supply Chain Design - Planetary Resource Utilization and its Impact on Earths Geophysical Synergies, to predict the broad sustainability impacts of BioSolutions. This Doctoral Network (DN) will train 13 PhDs in genomics, metabolomics, fermentation and process optimisation, and data science and sustainability assessments in a unique venture.

Keywords: mechanistic models,quantitative sustainability assessment,metabolic engineering,process systems engineering,fermentation,computational fluid dynamics,process simulation,techno economic
New Frontiers for Computability (NFFC)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Staff Exchanges
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: United Kingdom,Spain,Italy,Germany,Croatia,France,Korea, Republic of,Singapore,United States,Japan,New Zealand,Slovenia
Call: MSCA Staff Exchanges 2024 (HORIZON-MSCA-2024-SE-01, 2024)
Start date: 2026-01-01
End date: 2029-12-31
Duration (months): 48.0
Total project cost (EUR): 435870.0
EU funding (EUR): 435870.0
Participants: 17
Project status: SIGNED

Recent advances in computability theory have uncovered new pathways to apply computability to prove theorems in other areas of mathematics. Examples include a long-open question in topological dimension theory answered by Kihara and Pauly using computability-theoretic methods and a new proof of the 2-dimensional Kakeya conjecture by Lutz and Lutz. By bringing together the right experts, we will deepen those pathways and find more such applications. In a parallel development, we will focus on implementating algorithms working on continuous data types. This, too, has promising applications in diverse areas of mathematics. For example, tools that can compute Bloch's constant or the solution to the Lebesgue universal covering problem are within our grasp -- and both these numbers are only known up to the first post-decimal digit. The tools to be developed also have applications outside of mathematics, such as for the verification of hybrid systems. Both routes to applications built on a shared theoretical foundation, which in itself will be developed further.
Transformative pathways for synergising just biodiversity and climate actions (TRANSPATH)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Biodiversity and Ecosystem Services
Action type: Research and Innovation actions
Countries involved: Netherlands,Czechia,Germany,Costa Rica,Spain,Switzerland,United Kingdom,Ghana,Bulgaria
Call: Assessing the nexus of extraction, production, consumption, trade and behaviour patterns and of climate change action on biodiversity in the context of transformative change (HORIZON-CL6-2022-BIODIV-01, 2022)
Start date: 2022-11-01
End date: 2026-10-31
Duration (months): 48.0
Total project cost (EUR): 2730203.75
EU funding (EUR): 2730203.75
Participants: 12
Project status: SIGNED

The global biodiversity and climate crises cannot be solved in isolation or by merely ramping up what is already being done. Urgent and ambitious transformative changes are needed in our economies and societies. Through inclusive deliberation TRANSPATH identifies leverage points and interventions for triggering transformative changes at consumer, producer and organisational levels. It seeks whole-of-society opportunities for achieving climate-neutrality whilst simultaneously allowing local communities and nature to flourish. TRANSPATH draws on diverse contexts in Eastern and Western Europe, Africa and Latin America, to engage with those who affect and are affected by trade regimes and associated ‘greening’ mechanisms. Through deliberation on alternative visions, values, actions, and their systemic interactions across scales and over time, TRANSPATH identifies leverage points that can trigger positive cascading biodiversity changes. Policy packages and other interventions are designed, to enable the emergence of leverage points at different scales of action in ways that changes the choice architecture underlying daily decisions. These interventions consider the synergies and trade-offs of actions across multiple people and places, and the role of incentives and political barriers to implementation. TRANSPATH delivers a suite of Transformative Pathways with a Toolbox of Transformative Interventions for triggering and enabling these pathways. A Transformative Navigation Toolkit guides practitioners on how to enable and navigate pathways, acknowledging that arriving at what constitutes a ‘transformative pathway' is also a product of an iterative and adaptive process that emerges and evolves over time. To implement these, TRANSPATH develops a multi-scalar network of activated agents of change, who can foster inclusive and legitimate decisions, and build capacity and willingness among their actor networks to collectively move forward on transformative pathways.

Keywords: biodiversity,climate,transformative change,leverage points,levers,tipping interventions,social innovation,nature based solutions,dialogue,planetary boundaries,justice,integrated assessment
Quantum resistant communications: Advance Learning in applied PQC Training (QUARC)

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,Israel,Spain,Germany,Italy
Call: MSCA Doctoral Networks 2021 (HORIZON-MSCA-2021-DN-01, 2021)
Start date: 2022-09-01
End date: 2026-08-31
Duration (months): 48.0
Total project cost (EUR): 2771653.11
EU funding (EUR): 2215893.6
Participants: 7
Project status: SIGNED

Quantum Computers are about to be accessible to the public. The ability for Quantum Computers to break classic cryptography protocols is pushing the adoption of Post-Quantum Cryptography (PQC). PQC protocols are resistant against quantum computers. During 2022, and after several years of research, the first standards on PQC will be made available to the public. Although the EU has some scattered activities on PQC, it has not yet addressed the need for PQC experts in application of this emerging technology. This is the driving force for QUARC, a Doctoral Network Industrial Doctorate on PQC, providing interdisciplinary and integral training and research in PQC. QUARC will train 8 Doctoral Candidates (DCs) through an outstanding training program that includes coordinated research in different cryptography areas, focusing on implementation. QUARC is an industrial doctorate, and besides a 50% of their time located in an industrial partner, each DC will be also exposed to a set of training initiatives in the areas of relevance for industry and receive the support of an external advisory board made out of experts in the field. QUARC establishes a well-balances, interdisciplinary, intersectoral and innovative training network, with an overarching theme of quality and edginess: research as a training tool to push the current state-of-the-art in PQC.

Keywords: post quantum cryptography
Improving Life expectancy of LUNG transplant recipients through innovative ex vivo perfusion gene therapy (LifeLUNG)

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: Belgium,France,Austria,Germany,Sweden,Spain,United Kingdom,Denmark,Netherlands,Switzerland,United States
Call: MSCA Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01, 2024)
Start date: 2025-11-01
End date: 2029-10-31
Duration (months): 48.0
Total project cost (EUR): 4517397.21
EU funding (EUR): 4230837.0
Participants: 23
Project status: SIGNED

Patient survival after lung transplantation (LTx) for end-stage pulmonary disease is poor (5-year survival rate of 59%) due to ischemia reperfusion injury (IRI) and graft rejection. No therapies are available to prevent IRI, and current immunosuppression causes toxicity and morbidity. Novel strategies are required that can mask the graft from the recipient’s immune system The LifeLUNG initiative unites the critical building blocks available in Europe to advance towards a novel paradigm for LTx. Ex vivo lung perfusion (EVLP) is a clinically used platform to maintain active lung physiology outside the body, making pre-LTx organ engineering a reality. The project aims to advancing EVLP technology to enhance our understanding of transplant rejection through accessible models. By utilizing biobanks of lung biopsies from both clinical LTx cases and established animal models of IRI and rejection, LifeLUNG will apply advanced machine learning and AI-driven deep sequencing to identify key immune factors and gene targets. The latter will be targeted in LifeLUNG with gene therapeutic agents (GTAs) that can be delivered during EVLP to selectively modulate immune responses. Several delivery tools including adeno-associated viral vectors, virus-like particles and lipid nanoparticles, will be tailored to ensure precise and graft-specific gene modulation, enhancing the therapeutic potential for reducing IRI and preventing rejection. Also the efficient production strategies of these GTAs will be an integral part of LifeLUNG. In parallel, LifeLUNG will explore the economic and ethical paradigms of genetic modification of lung transplantation and reflect its implementation into the broader research and clinical framework. The interdisciplinary nature of LifeLUNG will support the training of 15 doctoral candidates across clinical, academic, and industrial sectors, fostering collaboration and the development of transferable skills to advance the research objectives.

Keywords: lung transplantation,ex vivo lung perfusion,organ rejection,immunology,gene therapy,gene editing,drug delivery systems,experimental models,ethics,implementation science,health economics
A NOVEL COMBINATION OF HIGH-RESOLUTION SENSORS AND DIGITAL TWIN MODELLING FOR ACCURATE MONITORING OF WATER INDUSTRY ASSETS. (GROUND TRUTH)

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): 24.0
Total project cost (EUR): 2462850.0
EU funding (EUR): 2462850.0
Participants: 1
Project status: SIGNED

Water companies have poor knowledge about the condition of their pipeline network assets. Across Europe, 25 % water is lost in distribution every year through leaks and pipe failures (11.5 bn m3). This is a growing problem, with buried and ageing pipeline infrastructure further exacerbated by climate change causing water scarcity. Regulatory pressures also mean ever more strict financial penalties for water companies that do not meet leakage targets. Current methods for managing network health are based on reactive maintenance following pipe failure. Leaks are detected by sensing ultrasound reflections, temperature, flow, sound (acoustics) and sudden shifts in the soil. In some cases, preventative maintenance (replacing pipes at a fixed age) is used but it is prohibitively expensive. There is a real need for a cost-effective predictive monitoring solution to prioritise high-risk pipes so they can be repaired/replaced before they fail. The Datatecnics patent-protected solution ‘Foresight’ is the world’s first AI-driven solution for cost-effective pipe condition monitoring, designed to improve knowledge and performance of water utilities assets. It will prioritise repair of high risk sections and help water utilities manage the risk of unexpected pipe failure, moving them away from reacting to bursts to predicting and planning for failure. Our team has the right mix of skills to deliver this revolutionary solution. Working alongside key industry partners ensures this project will be successful in supporting a mass-roll out across Europe, taking advantage of a massive market opportunity worth €29 billion annually. We need EIC support to refine our algorithms, reduce the number of data points necessary while maintaining prediction accuracy and demonstrate ‘Foresight’ with water utility companies under real-life conditions. This will sufficiently de-risk our solution to drive adoption in a notoriously conservative water sector that is slow to adopt innovation.

Keywords: artificial intelligence,water utilities,asset health management
Tourism social entrepreneurship for sustainable community tourism development (TSE_SCTD)

Framework: Horizon Europe — Widening Participation and Strengthening the European Research Area
Programme: Widening participation and spreading excellence
Theme: Attracting and mobilising the best talents
Destination: Attracting and mobilising the best talents
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Lithuania
Call: ERA Fellowships (HORIZON-WIDERA-2024-TALENTS-02, 2024)
Start date: 2025-11-01
End date: 2027-10-31
Duration (months): 24.0
Total project cost (EUR): 196976.16
EU funding (EUR): 196976.16
Participants: 1
Project status: SIGNED

Tourism social entrepreneurship is an alternative development strategy and catalyst for the host communities and plays a crucial role in delivering sustainable community tourism development outcomes. Community-based tourism is one of the categories of tourism social entrepreneurship. Community-based tourism projects usually use heritage as a tourist product to achieve sustainable community tourism development. This project aims to develop a policy model for the creation and development of cultural heritage tourism in rural communities, integrating elements of sustainability, creating sustainable jobs and enterprises, with gender equality and social responsibility, and strengthening national identity. To achieve this, a multi-method qualitative data collection strategy will be employed where data will be collected through face-to-face semi-structured interviews, field observations, and informal conversations in the rural communities of Zimbabwe and Botswana where there are functional community-based tourism projects. The project results will contribute to the generation of quality new knowledge (scientific impact), the promotion of gender equality in communities (social impact), and the promotion of sustainable cultural heritage tourism products (economic impact). The fellowship will provide the fellow with new scientific and practical skills and new contacts. The host institution will benefit from the transfer of skills, as the fellow plans to organise workshops, academic and public lectures, seminars, presentations, and to supervise MA and undergraduate students together with the supervisor.

Keywords: tourism social entrepreneurship community based tourism sustainable community tourism development heritage gender equality