Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
EU-FarmBook: supporting knowledge exchange between all AKIS actors in the European Union (EU-FarmBook)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Food, Bioeconomy Natural Resources, Agriculture and Environment
Theme: Bio-Environment
Destination: Innovative governance, environmental observations and digital solutions in support of the Green Deal
Action type: Research and Innovation actions
Countries involved: Belgium,Netherlands,Greece,Spain,Romania,Finland,Sweden,Latvia,Denmark,Portugal,Germany,Ireland,Italy,France,Poland,Austria,Hungary,Estonia
Call: Supporting knowledge exchange between all AKIS actors in the Member States by means of an EU-wide interactive knowledge reservoir (HORIZON-CL6-2021-GOVERNANCE-01, 2021)
Start date: 2022-08-01
End date: 2029-07-31
Duration (months): 84.0
Total project cost (EUR): 15002553.75
EU funding (EUR): 15002553.75
Participants: 31
Project status: SIGNED

The current state of the art is that the project EURAKNOS has analyzed the knowledge of 28 Horizon funded Thematic Networks (TNs) and linked operational groups (OGs) and developed a vision and guidelines for a digital knowledge reservoir for an EU-wide agriculture and forestry practice. EUREKA has continued this effort by examining 120 Horizon funded MA projects within the EIP-AGRI and developing a ‘proof of concept’ of such a knowledge reservoir building on the results of the EURAKNOS project. EU-FarmBook will capitalize on the results of EURAKNOS and EUREKA, making the data taken up in the platform more FAIR and adding necessary functionalities to the platform based on the users’ needs such as interactive peer to peer interaction and user content evaluation tools. Moreover EU-FarmBook will assure the linkage to traditional dissemination channels, such as agricultural journals, on farm demo activities, and training and education initiatives. The EU-FarmBook will therefore work closely with associations of journalists (ENAJ), educational and training institutions and strengthen the ties with EIP-AGRI Service Point. The effort will also be expanded by looking beyond H2020 and Horizon Europe funded projects, and OGs, through linkage and interoperability with national and regional initiatives. During the whole project an intensive dialogue will be maintained with AKIS coordination offices and CAP networks in all MS. The aim is that during the first stage of the project the concept of the platform will evolve to an exploitable product that will stimulate the exchange and collaboration between the AKIS actors at an EU wide scale. Targeted and efficient management of data and information to support agriculture and forestry practice from different sources will not only support the CAP but also the Green Deal and Farm to Fork objectives and targets, ultimately resulting in innovation for an environmentally, socially and economically sustainable agriculture and forestry
Future of ALCL: Novel Therapies, Origins, Bio-Markers and Mechanism of resistance (FANTOM)

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: Austria,Italy,Germany,Czechia,United Kingdom,Netherlands
Call: MSCA Doctoral Networks 2021 (HORIZON-MSCA-2021-DN-01, 2021)
Start date: 2023-01-01
End date: 2026-12-31
Duration (months): 48.0
Total project cost (EUR): 2584461.6
EU funding (EUR): 2584461.6
Participants: 22
Project status: SIGNED

The FANTOM Doctoral Network (DN) composed of 7 beneficiaries and 12 associated partners in 5 EU countries, recruiting 10 researchers and will be embedded into an established international research programme: The European Research Initiative on Anaplastic Lymphoma Kinase (ALK)-related malignancies (ERIA) as well as a clinical network: The European Intergroup for Childhood Non-Hodgkin Lymphoma (EICNHL). FANTOM will cosset and nurture the recruited researchers to become confident, competent, independent and well-connected European scientists with excellent career perspectives welcomed into these established networks. This will be achieved through a training programme conducted through research and complemented by a balanced programme of transferable skills designed with key input from both academic and industrial collaborators. The training of each fellow will be guided by an individual career development plan and supervised by a PhD committee with clearly allocated academic and industrial supervisors. The primary goal of the network is to train the recruited fellows by participation in an internationally competitive research programme and integrating them into the aforementioned networks. The research programme will address the clinical problems posed by Anaplastic Large Cell Lymphoma (ALCL) typified by aberrant ALK expression. Applying innovative model systems and multi-omics technologies, some performed to a single cell level, the biology of ALCL including the roles of the immune system and tumour stroma will be uncovered. These data will be applied to the development of (non-invasive) biomarkers and novel therapeutic approaches that will culminate in the design of clinical trials to address the issues of chemotherapy toxicity, over-treatment and drug resistance. The research and training activities will incorporate not only academic labs but also key research institutes, biotechnology companies, clinical trial bodies and Pharma to realise our research goals.

Keywords: childhood non hodgkin lymphoma,anaplastic large cell lymphoma
Polyesters Catalytic Chemical Recycling in Continuous Flow Reactors (REFLOWER)

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: Italy
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-01-01
End date: 2027-12-31
Duration (months): 24.0
Total project cost (EUR): 193643.28
EU funding (EUR): 193643.28
Participants: 1
Project status: SIGNED

Establishing a circular economy requires the development of plastic chemical catalytic recycling (CCR) processes, where catalysts are employed to produce high-value compounds from waste plastic streams. Polyesters such as polyethylene terephthalate (PET), polylactic acid (PLA), and polyhydroxybutyrate (PHB) are among the most abundant plastic wastes, primarily from packaging. However, current CCR methodologies are either poorly selective, resulting in low-value mixtures used as fuel, or are conducted in discontinuous operations that are difficult to scale. To address this, conducting CCR in continuous flow systems with selective and active heterogeneous catalysts has the potential to unlock new valorisation pathways. Here I will propose the first proof-of-concept for a liquid-phase, heterogeneously catalysed continuous flow CCR process for three polyesters (PET, PLA, PHB). The aim is the selective and sustainable depolymerization of common polyesters into reusable chemicals using unconventional, innovative bifunctional monolithic catalyst. This will be pursued through two complementary objectives: the synthesis of interconnected, hierarchically porous 3D-shaped solid bifunctional catalysts composed of metal nanoparticles supported on acidic mixed oxides, and the demonstration of the hydrogenative depolymerization of these three polyesters (PET, PLA, PHB) in a continuous flow system using the catalyst. Ultimately, this CCR methodology will provide an innovative technology that advances existing processes and contributes to establishing new recycling pathways for waste plastics. Eventually, it will support the development of a circular economy for plastics and help reducing the societal environmental impact.

Keywords: plastic chemical recycling,depolymerization,pet,pla,phb,continuous flow systems,circular economy,
A programme to open the access to women-led digital & deep tech startups to new opportunities under the umbrella of corporations in Europe (Open Horizons)

Framework: Horizon Europe — Innovative Europe
Programme: European innovation ecosystems
Theme: Interconnected Innovation Ecosystems
Destination: Interconnected Innovation Ecosystems
Action type: Coordination and support actions
Countries involved: Slovakia,Spain,Romania,Türkiye,Netherlands,Italy
Call: Startup Europe (HORIZON-EIE-2024-CONNECT-01, 2024)
Start date: 2025-02-01
End date: 2027-03-31
Duration (months): 26.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 9
Project status: SIGNED

A recent study indicates that women raise funding receive significantly less—a disparity that averages more than $1 million—than men. Corporates are different players compared to Venture Capital firms. Even their investment arms, CVCs do have a different approach to the investment policies. Specifically targeting women-led companies to collaborate with corporates under a “paid-pilot” scheme that can really take women-led startups and corporate collaboration to the next level. Open Horizons proposes a novel approach towards covering the women-led companies funding and corporate network gap, by creating a full programme, from scratch, that relies in the work done by other initiatives (Women TechEU or Empowomen) The consortium aims to invest 1.2M€ in startups and is comprised by an experienced consortium of partners as PEDAL (Reputed consultancy in EU projects also specialised in public procurement), SPLORO (experts on cascade funding) and INNOVX (EIC Partner and leading Accelerator). Corporates are also linked to the proposal as partners like Migros (retail) or associated partners like Siemens Industry Software, Repsol (energy) and Stahl (Manufacturing) and planning to expand up to 10. The project’s structured approach includes identifying and formulating corporate challenges, inclusive talent scouting across Europe, and facilitating the funding and implementation of pilot projects within real-world corporate settings. Post-pilot, the programme focuses on expanding growth opportunities for startups by connecting them with investment channels and helping negotiate commercial agreements for long-term collaborations. This comprehensive strategy not only provides a platform for women-led startups to showcase their innovations within major corporations but also integrates them into a broader corporate and innovation ecosystem, ensuring sustained growth and significant market presence.

Keywords: women entrepreneurship
Science on the move - from lab to streets & school (ScienceSCool)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: European Researchers' Night
Action type: Coordination and support actions
Countries involved: Serbia
Call: European Researchers' Night 2022-2023 (HORIZON-MSCA-2022-CITIZENS-01, 2022)
Start date: 2022-05-01
End date: 2024-04-30
Duration (months): 24.0
Total project cost (EUR): 231162.5
EU funding (EUR): 231162.5
Participants: 2
Project status: CLOSED

“Science on the move - from lab to streets & school” (ScienceSCool) is a two-year project to be organized around the theme "Life in a science bulb (2022)/Life outside the science bulb (2023)" by the Faculty of Physical Chemistry and Institute of Molecular Genetics and Genetic Engineering in 12 cities and several rural areas in Serbia. The objective of the project is to point out the importance of science for everyday life and to break the prejudice related to researchers by enabling direct contact between participants and researchers through attractive program that combines science and entertainment. At the same time, researchers’ awareness of the public’s concerns related to their work will be raised. The main topic of the project would be climate changes in accordance with the both EU and UN missions and goals, with special attention directed towards young audience in accordance with 2022 being the Year of European Youth. The pre/post-event activities to be organized will include Science Vans – mobile teams of researchers dispatched to rural areas to perform hands on experiments with participants. The event activities will include Treasure Hunt (a set of hands on experiments whose successful completion leads to a scientific award), and Open Day/Lab, that became “trademarks” of the SCIMFONICOM project during the years. New activities such as SCI-Circus and Fascination by Innovation will also be organised. Furthermore, a special activity will be organized giving opportunities for successful researchers of Serbia that won grants within highly competitive European calls to present their projects and their research. Cultural and educational institutions including Belgrade City Library, Center for Talents and Institute Servantes, are supporting the project.

Keywords: climate change environment renewable energy science vans treasure hunt,grand science adventure
The genomic impact of ancient structural variants on species extinction (GENOMICIDE)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental B iology, Ecology  and E volution
Panel description: For all organisms : Ecology, biodiversity, environmental change , evolutionary biology, behavioural ecology, microbial ecology , marine biology, ecophysiology, theoretical developments and mod elling
Countries involved: Sweden
Call: ERC STARTING GRANTS (ERC-2024-STG, 2024)
Start date: 2024-12-01
End date: 2029-11-30
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

In this proposal, I seek to quantify the impact of structural variants on species genome diversity and extinction by sequencing ancient genomes of extinct megafauna. Structural variants are large genomic rearrangements capable of significantly affecting gene function and fitness. While in previous work I have investigated the genomes of extinct species at the single nucleotide polymorphism (SNP) level, the accurate identification of structural variants has been hampered by molecular and computational challenges, thus impeding their incorporation into genomic extinction research. Recent advancements in long-read sequencing technologies have led to considerable improvements in accuracy and affordability, making it feasible to characterize structural variants at population level scale in non-model organisms. Despite the fragmented nature of ancient DNA, our preliminary results show that millions of ancient DNA sequences exceeding 500 basepairs in length can be obtained from extraordinarily well-preserved samples. This project capitalizes on these samples, combined with state-of-the-art sequencing technologies, to recover high-quality long-read sequencing data from ancient specimens and subsequently reconstruct extinct genomes de-novo. Focussing on megafaunal that went extinct during the late Pleistocene, this project will examine the evolution of structural variants under scenarios of increased genetic drift and reduced selection at unprecedent resolution. Moreover, the project will pioneer the direct quantification of within-species structural variant changes through time, and provide new insights into genetic variants within previously unassembled genomic segments. By expanding our understanding of the genetic role of structural variants on extinction events, we will contribute valuable insights into the genetic determinants beyond SNPs that influence species diversity, adaptations, survival and eventual extinction.
Linguistic Tuning Shifts in the Human Brain during Second Language Learning (LINGSHIFT)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1499885.0
EU funding (EUR): 1499885.0
Participants: 2
Project status: SIGNED

Language learning and fostering linguistic diversity within the European Union are priorities of the European Commission. Learning new languages can change the structure and function of the cerebral cortex, affecting the way we think. However, despite extensive research, we lack a fine-grained description of how dynamical changes in cortical representations mediate learning concepts and linguistic structures of a new language. The LINGSHIFT program will use a cutting-edge paradigm to identify the dynamic shifts in linguistic representations by addressing three main questions: What are the core cortical regions involved in processing semantics (the meaning of words and sentences) and syntax (the grammatical structures of sentences) during language learning? What specific semantic or syntactic information do these regions represent? Does the spatial organization of semantic and syntactic representations dynamically change over the course of learning a new language? To investigate this, LINGSHIFT will combine longitudinal non-invasive brain imaging using naturalistic stimuli and a powerful predictive modelling approach in a multidisciplinary work program. First, LINGSHIFT will create an open-access longitudinal functional MRI language comprehension and production dataset. This dataset will be recorded across a one-year period of adults learning a new language. Second, it will unravel the cortical semantic and syntactic representations using a predictive modelling approach that makes use of state-of-the-art deep neural network language models. Third, it will identify the dynamical changes in semantic and syntactic representations during language acquisition. LINGSHIFT will provide new predictions about long-term dynamics and cortical changes that will improve our understanding of language systems in the brain. It will place important constraints on theoretical frameworks of second language learning that will help modernise language teaching.

Keywords: longitudinal functional magnetic resonance imaging encoding modeling computational modeling machine learning natural language processing
Clinical Validation of an AI-based approach to improve the shared decision-making process and outcomes in Breast Cancer Patients proposed for Locoregional treatment (CINDERELLA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Tackling diseases and reducing disease burden
Action type: Research and Innovation actions
Countries involved: Portugal,Germany,Italy,Israel,Poland
Call: Clinical validation of artificial intelligence (AI) solutions for treatment and care (HORIZON-HLTH-2021-DISEASE-04, 2021)
Start date: 2022-06-01
End date: 2026-05-31
Duration (months): 48.0
Total project cost (EUR): 5379050.0
EU funding (EUR): 5378299.0
Participants: 11
Project status: SIGNED

Breast cancer is the most commonly diagnosed cancer, with an estimated 2.3 million new cases per year globally. Approximately 90% of these patients will undergo breast surgery with/without radiation (locoregional treatment). Different surgical techniques can be offered to the patient, each leading to completely different aesthetic outcomes. Moreover, for different patients, undergoing the same surgery, the aesthetic outcome could be completely different based on individual patient's factors (e.g, age, body habitus). In the CINDERELLA project, we will be using the BreLO AI system (an artificial intelligence-based tool for classification of aesthetic outcomes and matching data and photographs) integrated in CANKADO (a cloud-based healthcare platform) to create an easy-to-use application that can be used on any electronic device, to simulate visually to the patient the aesthetic outcome of a certain surgery. The CINDERELLA APProach is unique as it uses a clinical database and performs biometric matching, to create images that simulate to the patient the outcome of surgery. In the CINDERELLA trial (running during the project) we plan to compare if the application helped to fulfil the expectation and lead to a better quality of life. By feeding new clinical and photographic information to the CINDERELLA APProach after surgery, the artificial intelligence platform will be able to improve for the next cases. This trial will be practice-changing in the field of patient education and shared decision making. CINDERELLA platform will help to overcome any miscommunication and potential boundaries in patient's or physician's understanding of the potential outcomes of locoregional treatment of breast cancer. We believe that the CINDERELLA APProach will be used in the future to other locoregional treatments that might change patients aesthetic appearance. Thus, CINDERELLA APProach will be the forerunner for new innovative tools for communicating with our patients.

Keywords: breast cancer surgery mastectomy radiation artificial intelligence,outcomes,aesthetics,expectations,satisfaction,quality of life,digital platform
Impact of tropical FIRE emissions on rainforest PRODuctivity (FIREPROD)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Belgium,Denmark
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-10-01
End date: 2026-09-30
Duration (months): 24.0
Total project cost (EUR): 191760.0
EU funding (EUR): 191760.0
Participants: 2
Project status: SIGNED

Tropical fires release large amounts of particles, including essential nutrients. The trade winds can transport these nutrients across vast distances, depositing them in tropical rainforests and potentially enhancing their primary productivity. However, the link between fire and rainforest productivity remains unclear. This project aims to examine the influence of fire emissions on the productivity of tropical rainforests using satellite remote sensing. To achieve this, I will map burned areas and fire emissions in the pan-tropical region using high-resolution satellite data and machine learning techniques. Subsequently, I will employ a transport model to determine the trajectories of fire particles in the atmosphere and estimate their deposition on the surface of tropical forests. Finally, I will analyse the impact of nutrient deposition on primary productivity and biomass of tropical rainforests using three satellite products: 1) leaf area index (obtained from optical data), 2) sun-induced fluorescence (emitted by plants during photosynthesis), and 3) vegetation optical depth (a radar-based indicator of vegetation biomass). To handle the substantial volume of satellite data (>100 terabytes), I will use a cloud-based platform with powerful computational capabilities. This processing will generate valuable geospatial datasets, including annual maps of burned areas, fire emissions, and nutrient deposition in the pan-tropical region, as well as trend maps depicting rainforest productivity. This interdisciplinary project combines expertise in remote sensing, fire ecology, atmospheric transport, nutrient cycling, and plant productivity, providing novel insights into the impact of fires on the carbon sequestration capacity of tropical rainforests.

Keywords: remote sensing,tropical rainforest,plant productivity,atmospheric transport,nutrient deposition,carbon cycle,fire emissions,burned area mapping