Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Microbiome applications and technological hubs as solutions to minimize food loss and waste - FOODGUARD (FOODGUARD)

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: Innovation actions
Countries involved: Luxembourg,Netherlands,Greece,Spain,Italy,Germany,France,Belgium,Finland,Cyprus,United Kingdom
Call: Microbiomes fighting food waste through applicable solutions in food processing, packaging and shelf life (HORIZON-CL6-2023-FARM2FORK-01, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 5202188.5
EU funding (EUR): 4593875.25
Participants: 21
Project status: SIGNED

FOODGUARD aims to develop and demonstrate co-created solutions that will support innovations & advances based on microbiome, microbial activities & technology hubs to address food, health, economic and environmental challenges.The envisioned approach consists of a framework of toolsets & methodologies to provide sustainable solutions in food processing, packaging & across the food value chain to address food shelf-life increase & waste reduction in a holistic manner.The proposed solutions aim to (a) extend food shelf life with novel packaging/ biopreservation i.e. use of protective cultures/synthetic microbial consortia, recyclable films with natural antimicrobials or protective cultures;(b)monitor food quality/safety/shelf life with microbial indicators/molecular biomarkers used in smart packaging (TTIs, smart printed tags, no-invasive sensors)& (c) accurately predict food shelf life & improve traceability using predictive models, AI/ML, Internet of Things & tools like QR,NFR etc.; FOODGUARD toolbox components will be extensively evaluated in real life settings through four pilot demonstrations in 4 different countries with involvement of all relevant actors while covering diverse requirements and different food products. FOODGUARD outcomes target i) to minimize food loss and waste by shelf life extension and prediction,ii) to help the food industry to implement these preservation solutions as an alternative to chemical preservatives,iii)to deploy responsive policy for implementing these approaches as well as to engage consumers educated via tools/platforms, effectively improving awareness &trust in the food sector to(iv)increase traceability, providing real-time supply transparency that will improve the uptake of data-driven innovations in food systems, optimize resource efficiency (reducing food waste from farm to fork)(v)manage increased complexity in agri-food production & supply chain process, make it easier for consumers to adopt a healthy & safe food diet.

Keywords: food spoilage,biomarkers,sensors,food traceability
Human skeletal muscle platform for disease modelling and high-throughput drug screening (MusclePlate)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Portugal
Call: ERC PROOF OF CONCEPT GRANTS2 (ERC-2022-POC2, 2022)
Start date: 2023-05-01
End date: 2024-10-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 3
Project status: CLOSED

Neuromuscular disorders (NMDs) are a collection of pathologies that affect the skeletal muscle (SkM) function and lead to reduced mobility, breathing issues and death. Most NMDs are incurable and existing therapies are generally ineffective. The major contributor for the lack of NMD therapies is the absence of human NMD research models, applicable for the screening and validation of therapeutic candidates. Our goal for this project is to develop an in vitro platform containing highly biomimetic and functional SkM analogues, where NMDs can be modelled with the aim of testing drug candidates, in a reliable, high-throughput (HT), and quick manner. The platform will consist of 96 individual 3D tissue units, generated from the myogenic differentiation of human induced pluripotent stem cells (hiPSCs). To induce biomimetic and mature tissue formation, the platform will combine a unique topographical design with a light-stimulation system for optogenetic control of SkM contraction. Using image-based assays and computational algorithms, we will be able to automatically extract and quantify the SkM phenotypical (e.g. intracellular structure) and functional (e.g. contraction speed/force) parameters. To show NMD modelling ability within the platform, we will knockout BIN1, a gene whose mutated form is involved in the onset of centronuclear myopathy (CNM), a fatal and incurable NMD. The validity of the NMD model as a drug discovery platform will be demonstrated by testing compounds with known therapeutic activity. This proof of concept project will lay the ground work for a spin-off company devoted to HT drug screening for NMDs. The successful development of this platform will provide an invaluable tool for pharmaceutical research, allowing accurate, convenient and cost-effective identification of novel drugs and therapeutic targets for NMDs and, ultimately contributing to the acceleration of novel therapies for NMD patients.
VALIDATing SEcurity Safeguards in Binaries Compiled with Memory-Safe Languages Pre-Execution (VALIDATE)

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: Information Science and Engineering
Countries involved: Netherlands,Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-09-01
End date: 2027-08-31
Duration (months): 24.0
Total project cost (EUR): 217076.16
EU funding (EUR): 217076.16
Participants: 2
Project status: SIGNED

The emergence of memory-safe programming languages like Rust, Go, and Swift has significantly enhanced security by mitigating common memory-related vulnerabilities with minimal performance loss. Traditionally, memory safety was enforced through run-time support (e.g., Java), which executes bytecode but incurs significant performance overhead. In contrast, Rust, Go, Swift, and similar languages provide memory safety without heavy run-time support, delivering fast, secure machine code instead of virtual bytecode assessed at run-time. The core idea is to let the compiler vet about the security of a program by rejecting insecure code and by injecting certain checks in the produced machine code. However, the lack of run-time protection introduces a new attack vector. Specifically, developers themselves can become attackers by subtly manipulating binaries compiled with memory-safe languages, introducing deliberate vulnerabilities. These compromised binaries, disguised as secure, can bypass app store screening processes and become malicious post-installation through remote exploitation. This underscores the need for a robust validation mechanism to complement existing screening processes. To address this, we introduce VALIDATE (VALIDATing SEcurity Safeguards in Binaries Compiled with Memory-Safe Languages Pre-Execution), a validation mechanism ensuring that binaries compiled with memory-safe languages retain their intended security properties before execution. VALIDATE operates at the final executable level, where no further code alterations can occur, providing accurate end-to-end security guarantees. By advancing static and dynamic analysis techniques beyond the state-of-the-art, VALIDATE ensures that security guarantees enforced at compile-time remain intact at load-time. Integrating VALIDATE with app store screening processes enhances cybersecurity and maintains user trust by ensuring that memory-safe advertised software is indeed safe before execution.

Keywords: computer security,systems security,binary analysis
Politics and Practices of Listening in Mao era People's Republic of China. (PPLMEC)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy,Taiwan, Province of China
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2025-08-31
Duration (months): 24.0
Total project cost (EUR): 188590.08
EU funding (EUR): 188590.08
Participants: 3
Project status: SIGNED

This research, drawing on state archives, private memoirs, and literary materials provides the first dedicated history of auditory cultures of the People's Republic of China (PRC). By focusing on the act of listening across three pivotal and transitional moments of PRC history and at three levels of state, locality, and individual, it explores the role of sound from three perspectives: as a tool of nation-building deployed by the state; as a medium through which the Chinese revolution was experienced at an individual level; and in the contestation between these two domains as the soundscape became a site of contention and negotiation between the state and the citizen. The researcher's background in social, cultural, and political history of the Mao era, along with the supervisor's expertise on Chinese modern history and experience researching the history of sound and broadcasting in the Republican Era (1911-1949), will be deployed to provide the ideal background for this innovative but delimited project. The key questions asked will be threefold: 1) How, and under what understanding of the act of listening, did the state deploy sound as a political and social tool in the People’s Republic of China? 2) How were such state initiatives deployed at the local level and with what results? 3) How was the act of listening among individuals transformed in response to state initiatives? The resulting interdisciplinary research will expand the field of global soundstudies beyond its current Eurocentrism, apply Sound-Studies to China for the first in-depth and long term empirical study, and enhance European knowledge of modern China.

Keywords: china,sound studies,maoism
Cold Atom Rubidium Interferometer in Orbit for Quantum Accelerometry – Phase A (CARIOQA PHA)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Space
Destination: Open Strategic Autonomy in Developing, Deploying and Using Global Space-Based Infrastructures, Services, Applications and Data
Action type: Research and Innovation actions
Countries involved: France,Germany,Spain,Greece
Call: Quantum Space Gravimetry Phase-A Study (HORIZON-CL4-2023-SPACE-01, 2023)
Start date: 2024-01-01
End date: 2025-06-30
Duration (months): 18.0
Total project cost (EUR): 1909402.42
EU funding (EUR): 1499911.79
Participants: 6
Project status: SIGNED

CARIOQA-PHA build the first step of a Quantum Space Gravimetry Pathfinder Mission relying on instrument technology developed in CARIOQA-PMP. According to ECSS-M-ST-10C, CARIOQA-PHA investigates different system architectures and operations concepts and compares them against the needs of the Quantum Space Gravimetry Pathfinder Mission. The feasibility of each component of both space and ground segments are assessed by dedicated studies. These studies allow to identify the critical technologies and components necessary to deploy the mission. The way forward for technological maturation is proposed in order to ensure the deployment of the Quantum Space Gravimetry Pathfinder Mission within the decade. The Preliminary Requirement Review formally concludes CARIOQA-PHA by assessing the project readiness and technology maturity to enter into Phase B. CARIOQA-PHA brings together the leading players in space missions’ development in Europe. The project is coordinated by two space agencies (CNES, DLR) linked by a cooperation agreement on the development of quantum sensors. This leadership enables an efficient coordination of the project's industrial dimensions and ensure its harmonisation with the European programmatic framework. Space agencies bring their expertise in the development of quantum technologies and sensors, gravity field modelling, and experience in the operation of instruments and missions. The system expertise is provided by CNES drawing on its core system skills and capacity for constant innovation. The industrial team brings together manufacturers with world-class expertise in the development of space instruments (ADS-F), satellites (ADS-G) and mission analysis (GMV). Exploitation, including innovation and IPR management, Communication and Dissemination, data and security management are handled by expert partners with a long track record of supporting EU funded projects (CNES, PRAXI Network/FORTH).

Keywords: quantum sensor,cold atoms interferometer,bose einstein condensate,space,gravimetry,geodesy,quantum space gravimetry pathfinder mission,phase a
Pages of Prayer: The Ecosystem of Vernacular Prayer Books in the Late Medieval Low Countries, c. 1380-1550 (PRAYER)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Texts and Concepts
Panel description: Literary studies , literature,  philosophy
Countries involved: Netherlands
Call: ERC STARTING GRANTS (ERC-2021-STG, 2021)
Start date: 2023-03-01
End date: 2029-02-28
Duration (months): 72.0
Total project cost (EUR): 1499704.0
EU funding (EUR): 1499704.0
Participants: 1
Project status: SIGNED

Vernacular prayer books were by far the most commonly read book in the late medieval Low Countries. The mainstay of this vast corpus is the Book of Hours in the translation by Geert Grote (c. 850 manuscripts and 30 printed editions), founder one of the period’s most powerful religious reform movements. Nowhere else outside the Netherlands do so many manuscript and printed editions of this type of prayer book survive in the vernacular. While these books are fundamental for our understanding of religiosity, and of textual and visual literacy between 1380 and 1550 - a period that saw dramatic changes in the religious landscape and in book production - the sheer volume of material and its diversity has prevented researchers from fully grasping the nature and impact of this vibrant phenomenon. Pages of Prayer sets out to conduct the first large-scale investigation of this unique corpus by introducing a new approach - network philology - that studies all aspects of vernacular prayer books in their mutual interdependence. The project aims to chart the entire ecosystem of Dutch-language prayer books - including manuscripts, printed books, texts, images, producers, owners, patrons, places, devotions, and the relations between all of these aspects - over a long period of time by combining quantitative network analysis with advanced qualitative analysis to reach meaningful interpretations of the data. The nature of the material requires this research to be tackled within a multidisciplinary project. All members contribute to the digital network analysis. Sections of the ecosystem are further analyzed in work-packages that focus on the production and reception of manuscripts, the poetics of prayer, the function of images, and changes and continuities in relation to religious movements and the advent of print. The project will yield an integrative understanding of the role of prayer books in the late medieval Low Countries on the threshold of the medieval and early modern era.

Keywords: medieval vernacular literature,book history,history of religion
AI-augmented Robotics for CAncer point of caRE (AIRCARE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Health
Theme: Health
Destination: Unlocking the full potential of new tools, technologies and digital solutions for a healthy society
Action type: Innovation actions
Countries involved: Italy,Belgium,Denmark,Spain,Austria,Ireland
Call: Harnessing the potential of real-time data analysis and secure Point-of-Care computing for the benefit of person-centred health and care delivery (HORIZON-HLTH-2023-TOOL-05, 2023)
Start date: 2024-07-01
End date: 2028-06-30
Duration (months): 48.0
Total project cost (EUR): 8521393.75
EU funding (EUR): 7933969.38
Participants: 14
Project status: SIGNED

Cancer in the Upper Aerodigestive Tract (UADT) is still among the leading cancer types worldwide, with both incidence rate and mortality rate constantly rising. Treatment of these diseases is by Ear-Nose-Throat (ENT) surgeons, operating with incomplete knowledge of the tumor geometry, under non-ergonomic conditions and with limited precision on fragile cancerous tissue. AIRCARE will bring clinical practice in diagnosis and surgical treatment to the next level, by introducing advanced AI and robotic technology into the clinical workflow. For diagnosis, AIRCARE will enable real-time on-the-spot AI-powered optical/electric biopsies, helping to optimize a patient-specific surgical approach. For surgery, AIRCARE will provide a more controlled and ergonomic setting. Novel robotic stabilizing and controlling tools will further allow manipulation of tissue and removal of cancer with unprecedented levels of precision. A newly developed intuitive 3D visualization will simplify the understanding of the complex surgical scene. Aside from increase of safety, quality and efficiency of the surgical procedure, also less experienced surgeons may become able to perform complex image guided treatments. Within this innovation action, our European partners spanning universities, research centers, industry and 3 hospitals, will join forces across disciplines to advance promising research prototypes into two advanced integrated systems: one for diagnosis, one for surgery, thus supporting clinicians from the detection and diagnosis of UADT diseases until their surgical treatment. Within the framework of the project, the superiority of AIRCARE technology will be demonstrated in real operational environments through three clinical studies. By doing so, we aim to demonstrate the benefits of AI and robotics to healthcare professionals and UADT patients and put the seeds to translate this technology into the next standard of care for improved clinical outcomes.

Keywords: ent,cade cadx,electrical bioimpedance,transoral laser microsurgery,augmented reality,3d visualization,deep learning
Immunogenic cell death (ICD) in the cancer-immune dialogue (ICD-Cancer)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology  of ageing , pathophysiology, inter - organ and tissue communication, endocrinology, nutrition,  metabolism, interaction with the microbiome, non -communicable diseases including cancer (and except disorders of the nervous system  and immunity -related diseases)
Countries involved: France
Call: ERC ADVANCED GRANTS (ERC-2021-ADG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

The success of most if not all anticancer treatments depends on the (re)activation of immunosurveillance, as this has been documented for several therapeutic modalities, not only immunotherapy, but also chemotherapy, targeted therapy and radiotherapy. In response to antineoplastic drugs, malignant cells can undergo immunogenic cell death (ICD), thus exposing and releasing danger signals that act on pattern recognition receptors expressed by immune cells, in particular dendritic cells (DCs), to trigger the first steps of a therapeutically relevant anticancer immune response. Based on solid preliminary data and novel methodological approaches, we propose to obtain fundamental insights into the physicochemical properties and molecular mode of action of pharmacological ICD inducers (Objective 1), to create chemical-genetic systems for “synthetic” ICD induction for the study of ICD effects on the immune system without perturbation by pleiotropic anticancer drugs (Objective 2) and to identify new ICD-relevant immune checkpoints acting at the level of DCs (Objective 3). We will use this knowledge to generate an integrated view of the cancer-immune dialogue ignited, on one side, by malignant cells succumbing to ICD and, on the other side, DCs perceiving ICD, hence developing optimal strategies for the stimulation of tumor immunosurveillance (Objective 4). The concept of ICD has already been useful for patient-relevant biomarker discovery, drug development and trial design, strongly suggesting that a deeper exploration of this phenomenon will yield clinically relevant information.

Keywords: dendritic cells immunogenic cell death immunosurveillance
New Frontiers in Optimal Adaptivity (OPTIMAL)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Austria
Call: ERC CONSOLIDATOR GRANTS (ERC-2023-COG, 2023)
Start date: 2024-06-01
End date: 2029-05-31
Duration (months): 60.0
Total project cost (EUR): 1988674.0
EU funding (EUR): 1988674.0
Participants: 1
Project status: SIGNED

The ultimate goal of any numerical method is to achieve maximal accuracy with minimal computational cost. This is also the driving motivation behind adaptive mesh refinement algorithms to approximate partial differential equations (PDEs). PDEs are the foundation of almost every simulation in computational physics (from classical mechanics to geophysics, astrophysics, hydrodynamics, and micromagnetism) and even in computational finance and machine learning. Without adaptive mesh refinement such simulations fail to reach significant accuracy even on the strongest computers before running out of memory or time. The goal of adaptivity is to achieve a mathematically guaranteed optimal accuracy vs. work ratio for such problems. However, adaptive mesh refinement for time-dependent PDEs is mathematically not understood and no optimal adaptive algorithms for such problems are known. The reason is that several key ideas from elliptic PDEs do not work in the non-stationary setting and the established theory breaks down. This ERC project aims to overcome these longstanding open problems by developing and analyzing provably optimal adaptive mesh refinement algorithms for time-dependent problems with relevant applications in computational physics. This will be achieved by exploiting a new mathematical insight that, for the first time in the history of mesh refinement, opens a viable path to understand adaptive algorithms for time-dependent problems. The approaches bridge several mathematical disciplines such as finite element analysis, matrix theory, non-linear PDEs, and error estimation, thus breaking new ground in the mathematics and application of computational PDEs.

Keywords: adaptivity,mesh refinement,optimal convergence,a posteriori error estimator