Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Deconstructing adaptive evolution of metastasis (Adaptmet)

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: Spain,Finland,Austria,Belgium,Denmark,Netherlands,Sweden,Switzerland,Germany,United Kingdom
Call: MSCA Doctoral Networks 2023 (HORIZON-MSCA-2023-DN-01, 2023)
Start date: 2025-03-01
End date: 2029-02-28
Duration (months): 48.0
Total project cost (EUR): 3990232.8
EU funding (EUR): 3516631.2
Participants: 22
Project status: SIGNED

Adaptmet aims to develop an advanced training program encompassing the multifaceted aspects of metastasis adaptation mechanisms, intending to equip budding researchers with the necessary skills to emerge as leaders in this field. A robust mentoring and training strategy, coupled with cutting-edge methodologies and a diverse range of complementary soft skills, are crucial to this endeavour. These skills are imparted through local and network-wide events, fostering seamless research progression, and nurturing successful career trajectories. Scientifically, Adaptmet addresses an unmet medical need by harnessing basic science to revolutionize drug development and, ultimately, enhance patient care. Specifically, scientific work packages (WPs) have been designed to approach metastasis from various functional perspectives. In order to metastasize, cancer cells must adeptly coordinate diverse cellular functions (Cell Fate - WP1). Additionally, understanding the intricate interactions between metastatic cells, the host immune system, and tissue stroma is pivotal (Environment – WP2). Crucial aspects such as the kinetics of metastasis and the mechanisms governing latency, particularly, remain inadequately understood (Latency – WP3). Clarifying this complexity, unravelling mechanisms underlying therapy failure, and identifying expansion pathways are central to defining novel therapeutic targets (Expansion – WP4). In essence, Adaptmet stands at the intersection of a rapidly evolving multidisciplinary domain, amalgamating distinct fields that often face challenges in mutual communication. The success of Adaptmet hinges upon robust partnerships, open exchange of ideas, state-of-the-art methodologies and equipment, and the exploitation of synergistic opportunities among network members. This collaboration spans diverse perspectives, bridging gaps between different disciplines, thereby breaking down barriers and fostering interdisciplinary cohesion.

Keywords: metastasis,cancer,latency,stroma,dormancy
Flexible and Efficient Capture and Bioconversion of CO2 to Materials and Ingredients (UNICO2RN)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Public-private partnerships
Destination: Circular Bio-based Europe
Action type: Innovation actions
Partnership: CBE (JU-JTI)
Countries involved: Belgium,Netherlands,Germany,Italy,United Kingdom,Spain,France,Denmark
Call: Innovative conversion of biogenic gaseous carbon into bio-based chemicals, ingredients, materials (HORIZON-JU-CBE-2024, 2024)
Start date: 2025-06-01
End date: 2029-05-31
Duration (months): 48.0
Total project cost (EUR): 11508665.25
EU funding (EUR): 7499958.0
Participants: 11
Project status: SIGNED

The UNICO2RN project aims to demonstrate novel routes to convert biogenic CO2 into ingredients and materials, involving metal organic framework-based capture and purification technology and biotechnological processes based on Hydrogen Oxidizing Bacteria. The modularity and flexibility of the developed processes will be shown through 2 demonstration cases in real industrial settings at TRL 7 for sustainable and efficient production of microbial proteins and PHA, from 2 types of biogenic CO2 sources of different concentration and purity. These new routes bring clear advantages in terms of efficiency, safety, environmental footprint and greenhouse gas emission reductions with respect to benchmarks. Their development to TRL7 will enable their industrialization and thus lead to major positive economic, environmental and social/societal impacts.

Keywords: energy efficient co2 capture,gas fermentation,carbon capture and utilization
Unlocking mushroom protein functionality and improving circularity by valorising the fibre side stream. (MUSH4FUN)

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: Ireland
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): 215534.4
EU funding (EUR): 215534.4
Participants: 2
Project status: SIGNED

There is a current need to explore diverse alternative protein sources with improved technological functionality and digestibility. Mushrooms are a relatively low-cost and environmentally sustainable horticultural product, which are valued for their taste, fibre and protein content and several other health benefits. Surprisingly, few mushroom derived ingredients are commercially available e.g., mushroom powders. Their relatively high protein and fibre content have largely been overlooked, leaving an opportunity to explore these nutrients to generate mushroom based value-added ingredients. MUSH4FUN aims to go beyond the state-of-the-art by extracting mushroom protein and optimising the protein's technological and digestive functionality while creating circularity through valorisation of the side-stream generated during protein extraction. This research work is comprised of four parts and will adopt multidisciplinary approaches. (1) Protein concentrates/isolates will be extracted from three mushroom varieties, i.e., white button, oyster and shiitake. Fibre will be isolated and purified from the residue. The technological functionality of the obtained proteins will be determined (WP1). (2) The in vitro protein digestibility of the protein concentrates in model emulsions and gel systems will be evaluated (WP2). (3) Innovative food products will be developed using protein and fibre obtained, as proof-of-concept (WP3). (4) The textural properties of the developed products will be evaluated instrumentally and through sensory evaluation by a consumer panel (WP5). This project addresses European Union's FOOD 2030 policy pathway 4 aimed at increasing the diversification of alternative protein sources and encouraging a dietary shift towards plant-based diets. Knowledge and concepts from this research work are expected to increase competitiveness of the mushroom sector and create opportunities for new markets.

Keywords: sensory evaluation of food,microstructure of food
Earth Observation for Early Warning of Land Degradation at European Frontier (EWALD)

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: Environment and Geosciences
Countries involved: Portugal,Ukraine,Slovakia,Morocco,Germany
Call: MSCA Staff Exchanges 2021 (HORIZON-MSCA-2021-SE-01, 2021)
Start date: 2022-12-01
End date: 2026-11-30
Duration (months): 48.0
Total project cost (EUR): 1574514.29
EU funding (EUR): 1416800.0
Participants: 9
Project status: SIGNED

Land degradation (LD) is the world's greatest environmental challenge affecting the environment, agriculture, and human wellbeing. Intensified by natural disasters and desertification, the LD may present potential risks and socioeconomic tension at the European Union (EU) frontier. The project aims to develop an innovative framework to provide an Early Warning System (EWS) and responses to the LD threatening the EU from its external border, using multi-source and multi-scale Earth Observation (EO) data. The consortium consists of the University Lusofona, PT, which will work with big data management, smart computation, and risk analysis, - Center for Remote Sensing of Land Surfaces of the University of Bonn, GE, bringing their long-term research expertise on the LD, - Scientific Centre for Aerospace Research of the Earth, UA, supporting with in-depth knowledge on development and application of advanced EO-based technologies, - SME ECOMM, UA, implementing the emergent geo-informational solutions, - the University of Zilina, SL working in multi-state simulation system for the LD risk assessment and advanced cloud computing, - the University of Marrakech, MOROCCO, with longterm experience in the inland LD and desertification evaluation using the EO data, - The Resource Ingeneering Company (RESING) implementing the developed EWS Prototype, providing the necessary data and logistic support. The EWS Prototype will be delivered to the EU and tested in complementary conditions in Ukraine, facing anthropogenic impact risks, and in Morocco where desertification risks are intensifying. The intersectoral region-specific expertise and skill-transfer secondments will ensure the self-sustainability and further evolution of the delivered system and of the Consortium. Dissemination of the approach to the agricultural consumers will support the development of environmental and socioeconomic factors, reach out to the remote rural society and enhance cooperation with and within the EU.

Keywords: land degradation,earth observation,early warning system
Seeing invisible women: identifying leverage points and human rights pathways towards gender equity in fisheries (Fish4Her)

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: Germany
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-10-20
End date: 2027-10-19
Duration (months): 24.0
Total project cost (EUR): 217965.12
EU funding (EUR): 217965.12
Participants: 1
Project status: SIGNED

#Fish4Her aims to address the critical invisibility of women in small-scale fisheries (SSF), focusing on their role in post-harvest activities, which often goes unrecognized in policy and decision-making. Women, particularly in West Africa, face significant human rights violations, including economic and social vulnerabilities, forced displacement, and lack of access to resources. These challenges are exacerbated by the rapid expansion of the ocean economy. #Fish4Her seeks to assess how empowerment processes can leverage gender equality and improve human rights in benefit of female fish processors and their communities. The project’s interdisciplinary framework combines insights from socio-ecological systems, environmental governance, and gender theory. It employs a mix-methods, participatory approach, involving local women and stakeholders in three coastal communities impacted by ocean economy developments. The research is structured around three key objectives: (1) Innovate a conceptual framework for empowerment; (2) Validate the framework through on-the-ground implementation; and (3) Accelerate the empowerment process by creating safe spaces for women to discuss their rights and strategies for change. A fourth objective focuses on disseminating findings to local communities, policymakers, and global stakeholders - Mainstream gender equality into ocean equity and blue justice discussions. By advancing gender equality in SSF, #Fish4Her aims to contribute to the broader goals of sustainable development and social justice.

Keywords: small scale fisheries human rights gender equity
Biosensor Activated Biomanufacturing Scale-up (BioScale)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Denmark
Call: EIC Accelerator Open (HORIZON-EIC-2022-ACCELERATOR-01, 2022)
Start date: 2023-04-01
End date: 2025-03-31
Duration (months): 24.0
Total project cost (EUR): 2593279.5
EU funding (EUR): 1815295.6
Participants: 1
Project status: CLOSED

Industrial Biotechnology is one of the Key Enabling Technologies (KETs) identified by Europe. Harnessing the power of microbes for biomanufacturing is one of the most promising approaches to providing a sustainable alternative to a fossil fuel- and animal farming-based economy. However, fermentation scale-up remains a massive challenge to the commercialization of bioprocesses, ultimately hindering the sector from reaching its potential. Enduro has developed a game-changing synthetic biology plugin – Enduro Sense – to bridge the scale-up gap and enable cheaper and scalable continuous microbial biomanufacturing. After successful developments, we are ready to perform large scale demonstrations with commercial strains from industrial partners, achieving a key milestone that will unlock further investments to finance the commercial deployment of the technology. This EIC grant is crucial to position our company in a market that is rapidly evolving.

Keywords: industrial biotechnology,bioeconomy,microbiology,synthetic addiction,bioinformatics,biosensors,synthetic biology,scale up,fermentation,biomanufacturing,white biotechnology,dna synthesis
Innovative diagnostic tools to improve the medical care and the health of Sickle Cell patients : preparing for launch and market access in Europe (INNOVHEM)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Elevating the scalability potential of European business
Destination: Elevating the scalability potential of European business
Action type: Coordination and support actions
Countries involved: France
Call: Women TechEU (HORIZON-EIE-2021-SCALEUP-01, 2021)
Start date: 2022-06-01
End date: 2023-01-31
Duration (months): 8.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

INNOVHEM is a french start-up that has been incorporated in October 2019 which develops new and relevant diagnostic tools to tackle Sickle cell disease. Sickle Cell Disease is a very severe disease and is the most frequent genetic disease over the world, affecting around 5 million people. Despite this disease has been discovered at the beginning of the 20th century, there is still several unmet needs to tackle it. In resource-poor countries, about 90% of children are estimated to die before the age of 5. In Europe, more than 60 000 people are affected. Their life expectency is shortened to around 45 years old and 80% of physicians say that they lack support tools for treatment decision. In addition, SCD is associated to high clinical costs. At INNOVHEM, we are developing a solution which is a combination of biomarkers, specifically adapted to the physiopathology of the disease, with articial intelligence. This solution will help the physicians to propose a personalized medical care to the patients and it will also help the development of new effective treatments. This will deeply improve health of Sickle cell patients. As an example of impacts, one of the short-term goals is to avoid 20% of emergency visits, this sole effect will save $ 30 million / year in Europe. During the first year of activity, INNOVHEM showed a high commercial traction, that allows to sign contracts for a total amonut of 800k euros . We also enter into several partnerships with leading clinical and university centers for sickle cell disease. Our mission is to improve clinical care of Sickle cell patients and improve their lives. A financial support will help us to build our access market strategy and our growth in Europe.

Keywords: healthcare,rare diseases,sickle cell disease,ia,innovative diagnostic tools
Fostering Adaptation and Inclusion for Resilient FUTURE (Fair Understanding, Transformation, Urban Resilience and Equity) (FairFuture)

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: Germany,Netherlands,Finland,Greece,Portugal,Italy,Croatia,France,Ukraine,Spain
Call: Demonstration of approaches by regions and local authorities focused on increasing climate resilience of the most vulnerable social groups (just climate resilience) (HORIZON-MISS-2024-CLIMA-01, 2024)
Start date: 2025-09-01
End date: 2029-08-31
Duration (months): 48.0
Total project cost (EUR): 7516888.75
EU funding (EUR): 7373601.25
Participants: 23
Project status: SIGNED

The FairFuture project addresses the pressing need for climate adaptation, with a particular focus on vulnerable communities. The objective is to develop and test inclusive adaptation measures that are tailored to local vulnerabilities, with a particular emphasis on just resilience in order to prevent an exacerbation of existing inequalities. In collaboration with local and regional authorities (LRGs), national governments, and community-led initiatives, FairFuture will integrate climate risk assessments into local plans and policies. The project will operationalise Resilience Action Labs with the objective of co-developing equitable adaptation actions, measuring effectiveness, and promoting a broader understanding of just transformation in climate resilience. The FairFuture project aims to enhance local resilience, well-being and equity, providing a framework for inclusive decision-making and scalable adaptation strategies.

Keywords: justice,just transition,equity,democracy,nature based solutions
Unlocking the mesoscale frontier of cloud-climate uncertainty (MesoClou)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Earth System Science
Panel description: Physical geography, geo logy, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Netherlands
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): 1499070.0
EU funding (EUR): 1499070.0
Participants: 1
Project status: SIGNED

Climate projections are essential for guiding society’s response to climate change but feature significant uncertainty. According to the latest assessment of the Intergovernmental Panel on Climate Change (IPCC), clouds remain the largest source of this uncertainty. The main culprit are mesoscale cloud fields, which organize into striking patterns, and cover hundreds of kilometers over the subtropical and tropical oceans. While conspicuous in satellite imagery, we lack the concepts and tools to adequately model their evolution. To overcome this mesoscale cloud-climate uncertainty, the project will develop a framework to conceptually understand and quantitatively predict mesoscale cloudiness from time series of satellite imagery. This requires a fundamental change of perspective: Instead of investigating cloud processes from the bottom up, the new approach will directly focus on the emergent behavior at the mesoscale. The new framework will capture mesoscale cloudiness as a data-driven complex system. This characterization will enable an assessment of the role of clouds in climate projections that is novel in two aspects: First, it will include observational information that has not been used before to reduce cloud-climate uncertainty. Second, the reliability of state-of-the-art lines of evidence will be objectively judged based on how well they capture different scales of cloud processes. The new methodology will be equipped to tap into the next generation of data and unlock additional lines of evidence. As a comprehensive tool for mastering mesoscale cloudiness, the new framework will have broad and lasting impact: It will steer future cloud research, it will notably reduce uncertainty in the next IPCC assessment, and it will be an essential guide for the upcoming data-driven revolution of atmospheric and climate modeling.

Keywords: cloud climate interactions,aerosol cloud interactions,aerosol forcing,cloud feedback,stratocumulus,shallow cumulus,trade cumulus,shallow clouds,deep convection,emergent constraint,complex systems,dynamical systems
Categorical Model theory, Stability theory and applications (CatModStab)

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: Mathematics
Countries involved: Czechia
Call: Fostering balanced brain circulation – ERA Fellowships (HORIZON-WIDERA-2022-TALENTS-04, 2022)
Start date: 2024-07-01
End date: 2026-06-30
Duration (months): 24.0
Total project cost (EUR): 150438.72
EU funding (EUR): 150438.72
Participants: 1
Project status: SIGNED

Model theory traditionally studies mathematical structures (models) which can be characterised by first-order logical axioms (a theory). However, a number of important mathematical concepts do not fit in this framework, so researchers have been increasingly interested to generalize successful techniques of model theory to other frameworks, such as continuous logic, positive logic and a very general category-theoretic approach. One of the deepest parts of model theory is stability theory, which has inspired a great deal of research with countless applications, even when limited to the traditional first-order framework. Stability theory can be studied through independence relations that tell us which parts of a given structure are related, and which are not. Such independence relations work especially well in the stable, simple and NSOP1 settings, which relate to the complexity of the structures involved. Modern formulations of independence relations allow for a clear translation to categorical language. We propose to build on pioneering work to generalize stability-theoretic tools for the simple and NSOP1 settings to the categorical framework. This overarching goal is split up in three objectives. (O1) Develop categorical independence, primarily in the unstable settings. (O2) Establish novel approaches to the long-standing stable forking conjecture. (O3) Found an enriched model theory and stability theory through enriched categories. This ambitious generalization will be achieved by combining my experience in modern model theory and stability theory, with the complementary expertise of my supervisor, John Bourke, and my advisors, who are world-leaders in categorical model theory and other categorical aspects relevant to this project, such as enriched category theory. On an international level this project will build a bridge between the model theory and category theory communities, thus enlarging my network and enhancing my prospects towards an academic career.

Keywords: model theory,category theory,stability theory