Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
TransformDairyNet: Working together to upscale Cow-Calf-Contact dairy production and beyond (TransformDairyNet)

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: Coordination and support actions
Countries involved: Ireland,Belgium,Romania,France,Austria,Norway,Italy,Denmark,Greece,Sweden,Netherlands,Germany,Estonia,United Kingdom
Call: Thematic networks to compile and share knowledge ready for practice (HORIZON-CL6-2023-GOVERNANCE-01, 2023)
Start date: 2024-06-01
End date: 2027-05-31
Duration (months): 36.0
Total project cost (EUR): 2858482.65
EU funding (EUR): 2763318.36
Participants: 26
Project status: SIGNED

TransformDairyNet will harness the expertise of 26 European partners to create 11 National Innovation Practice Hubs and a European Knowledge and Innovation Network of dairy farmers, veterinarians, advisors, supply chain actors, farmer organisations, researchers and policy makers, to work together to upscale cow calf contact (CCC) dairy production and beyond. Keeping cows and calves together for months rather than the usual hours/days promotes health, growth and normal, pleasurable behaviour, and is the most consumer accepted ethical practice for increasing the sustainability of dairy systems in line with the Green Deal. TransformDairyNet aims to accelerate the adoption of CCC orientated-practice through: (1) compiling existing knowledge and identifying end-user needs; (2) co-creating new CCC knowledge–generating ideas and solutions; (3) sharing knowledge ready for practice, and (4) CCC legacy and tools for transforming systems. Through a multi-actor approach, TransformDairyNet will bring science and practice together to create a comprehensive CCC knowledge map, champion farmer-led innovation and share practice to upskill European dairy farmers and advisors at differences stages of adoption. TransformDairyNet will build resilience and normalise and spread CCC practice by co-creating harmonised, farmer–facing tools, materials and peer-to-peer activities, leveraging trusted channels and networks and engaging with existing and new dairy and CCC focused EIP-AGRI Operational Groups. TransformDairyNet will work with EU FarmBook to maintain the Knowledge and Innovation Networks beyond the project as a community of practice, able to pivot to other issues for the continued transition to sustainable dairy production into the future. Looking forward, TransformDairyNet will provide insights and recommendations for the acceleration of other novel agricultural practices with high citizen and practitioner demand, through reflecting on the thematic network processes.

Keywords: dairy,transforming agriculture,cow calf contact system
Quantum-based cybersecurity protocols (levelQuantum)

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: Italy
Call: Women TechEU (HORIZON-EIE-2022-SCALEUP-02, 2022)
Start date: 2023-07-01
End date: 2024-03-31
Duration (months): 9.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

The Internet is a ubiquitous technology—with many tasks in private and business lives now achieved online. Still, the networks remain vulnerable to malicious agents and the number of cybersecurity attacks is on the rise—a trend that will likely continue with the advent of more powerful computers. At levelQuantum s.r.l., an early-age deep-tech innovative startup, we deliver an unprecedented level of security provided by our 4th generation Quantum Key Distribution protocol, which is physically and mathematically safe against all possible attacks. We can become one of the first companies to bring quantum cryptography systems suitable for long-distance, fiber- and satellite-based Quantum Key Distribution of absolute security to the broader market. Our solution can secure the networks today and, in the future, when quantum computers reach their long-promised, unprecedented power. In this project, we aim to update our business plan, conduct market & customer research, and build a strategy for growth for a diverse and gender-inclusive STEM workplace in quantum technologies. Taken together, combining the development & results of this project with our superior technology will help our company to contribute to the EU’s digital economy.

Keywords: quantum technologies,quantum cryptography,cybersecurity
Towards Cancer Patient Empowerment for Optimal Use of Antithrombotic Therapy at the End of Life (SERENITY)

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: Netherlands,Denmark,United Kingdom,France,Germany,Spain,Poland
Call: Improved supportive, palliative, survivorship and end-of-life care of cancer patients (HORIZON-HLTH-2021-DISEASE-04, 2021)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 4483532.5
EU funding (EUR): 4483530.5
Participants: 15
Project status: SIGNED

Despite the fact that antithrombotic therapy (ATT) has little or even negative effects on the well-being of cancer patients during their last year of life, stopping ATT is rare in clinical practice. In contrast, ATT is often continued until death, resulting in excess bleeding, higher healthcare costs, and increased disease burden. SERENITY will develop an information-driven, palliative care shared decision-making process enabled by a user-friendly, easily accessible, web-based shared decision support tool (SDST) that will facilitate treatment decisions regarding appropriate use of ATT in cancer patients at the end of life. SERENITY will use a comprehensive approach consisting of a combination of realist review, flash mob research, three epidemiologic studies in NL, UK, and DK, and qualitative interviews. The results of these studies will be used in a Delphi process to reach consensus on the optimal design of the intervention. Using the consensus reached in the Delphi process, the SDST will be designed to be patient-specific with adaption to gender, cancer-related, cultural, and socioeconomic factors. Proceeding, the SDST will be tested and optimised in a Randomised Clinical Trial. A targeted implementation and exploitation plan will be developed to enable the use of the SERENITY approach across Europe, as well as incorporation in national and pan-European clinical guidelines and policies. The intervention will ultimately lead to appropriate use of ATT, prevention of bleeding complications, and considerable cost savings in addition to improved quality of life and treatment satisfaction of patients, their carers, and involved healthcare professionals. The intervention will empower cancer patients and their carers, enabling them to make their own choices. The intervention will reduce the disease burden of hundreds of thousands of people living with cancer receiving palliative care each year, throughout all EU regions.

Keywords: antithrombotic therapy thrombosis cancer palliative care patient empowerment shared decision making health economics hemorrhage web based application quality of life multidisciplinarity
Computing Strategy for Data-intensive Science Infrastructures in Europe (SPECTRUM)

Framework: Horizon Europe — Excellent Science
Programme: Research infrastructures
Theme: Research infrastructures
Destination: Development and infrastructures
Action type: Coordination and support actions
Countries involved: Netherlands,Switzerland,France,Italy,Germany
Call: Preparation of common strategies for future development of RI technologies and services within broad RI communities (HORIZON-INFRA-2023-DEV-01, 2023)
Start date: 2024-01-01
End date: 2026-06-30
Duration (months): 30.0
Total project cost (EUR): 2622435.36
EU funding (EUR): 2499542.5
Participants: 10
Project status: SIGNED

The amount of data gathered, shared and processed in frontier research is set to increase steeply in the coming decade, leading to unprecedented data processing, simulation and analysis needs. In particular, the research communities in High Energy Physics and Radio Astronomy are preparing to launch new instruments that require data and compute infrastructures several orders of magnitude larger than what is currently available and entering in the Exascale era. To meet these requirements, new data-intensive architectures, heterogeneous resource federation models, and IT frameworks will be needed, including large-scale compute and storage capacity to be procured and made accessible at the pan-European level. Additionally, the emergence of high-end Exascale HPC and Quantum computing systems provides new opportunities for accelerating discoveries and complementing the capabilities of existing research HTC and Cloud facilities. Addressing key questions around scalability, performance, energy efficiency, portability, interoperability and cybersecurity is crucial to ensuring the successful integration of these heterogeneous systems. In this context, the SPECTRUM project aims to deliver a Strategic Research, Innovation and Deployment Agenda (SRIDA) and a Technical Blueprint for a European compute and data continuum. With a consortium composed of leading European science organisations in High Energy Physics and Radio Astronomy, and leading e-Infrastructure providers covering HTC, HPC, Cloud and Quantum technologies, the project will work with a Community of Practice composed of external experts. The ultimate goal is to pave the way towards data-intensive scientific collaborations with access to a federated European Exabyte-scale research data federation and compute continuum.

Keywords: data intensive science,federated cloud,hpc,quantum computing,compute continuum,data federation,high energy physics,radio astronomy,research infrastructures,e infrastructures,strategy
iMmersive leArninG for ImperfeCtion detectIon and repAir through human-robot interactioN (MAGICIAN)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Italy,Sweden,Greece,Türkiye,Germany,Belgium,Netherlands
Call: Increased robotics capabilities demonstrated in key sectors (AI, Data and Robotics Partnership) (IA) (HORIZON-CL4-2022-DIGITAL-EMERGING-02, 2022)
Start date: 2023-10-01
End date: 2027-09-30
Duration (months): 48.0
Total project cost (EUR): 9174031.25
EU funding (EUR): 8332681.25
Participants: 11
Project status: SIGNED

A common trait of many important markets is the increasing attention of consumers to the aesthetic quality of the products. Even products like mid-segment cars are required to be defect-free in all the areas falling under the direct sight of the customer. These expectations translate into high-quality standards in the production process, which are currently met by requiring an important physical effort to the workers in unsafe environments. The MAGICIAN project will take on the challenge producing a modular automation solution in which robots are used to detect and rework production defects before the last production phases commence and the aesthetics of the product is finalised. The project will produce two robotic solutions, one for defect analysis (the SR) and one for the defects’ rework (the CR). The SR and the CR can be used separately, with the humans remaining in charge of some of the activities, or in combination, with the CR operating on the defects identified by the SR. The SR can also be used in connection with the welding robotic station in order to adapt the process parameters. The robots will use Artificial Intelligence modules to detect and discriminate the defects from multi-modal data (the SR) or to decide the best policy to use for defect rework (the CR). In both cases, the decision logic of the modules will be trained using machine learning algorithms. The training data set will be acquired with the help of workers, who will operate on semi-worked products within a controlled environment. The SR and the CR will rely on the software services of a common robotic platform. The solution will be developed adopting a human-centered approach, which will allow us to evaluate the impact of the innovation on the production processes and remove the most important asperities along this path. The effectiveness of the solution will be tested on a use-case, and its generality proven by recruiting additional contributors and use-cases through a FSTP scheme.

Keywords: human robot interaction,machine learning,cooperative robots,intelligent systems
Cheaper, better batteries from common, safe and available raw materials (SodiScale)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Challenges
Action type: EIC actions
Countries involved: Finland
Call: Green Deal innovations for the Economic Recovery (HORIZON-EIC-2021-ACCELERATORCHALLENGES-01, 2021)
Start date: 2022-06-01
End date: 2025-05-31
Duration (months): 36.0
Total project cost (EUR): 3633125.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Electrification of transport and transition to renewable energy generation are essential to cut our carbon emissions in half by 2030. Batteries are a key component to allow this change. But they also remain a major bottleneck in the scaling of green technologies. Battery production relies on raw materials like lithium, cobalt and nickel, all of which are already in short supply. Yet the green boom is just beginning. To enable our “green” future, the battery industry needs a revolution. BroadBit has developed fundamentally new sodium-based battery technology for high-performance batteries made from low cost and widely available raw materials. We have redesigned the entire battery chemistry and developed new safe and clean dry production process. With the help of EIC, we will finalize our cell chemistry, fine-tune the production processes and strengthen partnerships to consistently reach commercial quality and cycle life targets required for successful market introduction and scale up.

Keywords: renewable energy,electric vehicles,sodium based battery technology,grid storage,sustainability,critical raw materials
Development of new AI-2 prodrugs and chemical probes to study the microbiota of the mammalian gastro-intestinal tract (AI-2 Prodrugs)

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: Chemistry
Countries involved: Portugal
Call: Fostering balanced brain circulation – ERA Fellowships (HORIZON-WIDERA-2022-TALENTS-02, 2022)
Start date: 2022-06-01
End date: 2024-05-31
Duration (months): 24.0
Total project cost (EUR): 164698.56
EU funding (EUR): 164698.56
Participants: 1
Project status: CLOSED

Quorum sensing allows bacteria to synchronise and regulate their behaviours. Autoinducer-2 (AI-2) is a particularly relevant signaling molecule able to promote inter-species communication. In the mammalian gut microbiota, a therapeutically relevant niche, interference of AI-2-mediated signaling has been shown to influence the balance of the major phyla after antibiotic treatment. Still, the mechanisms involved in this process are not known. We propose to establish novel chemical and structural based approaches to decipher the mechanisms involved in the response of the gut microbiota to AI-2 and identify mechanisms that promote beneficial responses by the symbionts while inhibiting virulence in gut pathogens. For this, we will construct chemical tools that will function as AI-2 prodrugs to orally deliver intact AI-2 to the gut. AI-2 is a highly functionalised molecule, very reactive and unstable at high concentrations, thus a prodrug strategy will protect AI-2 until its release in the gut. To gain a molecular understanding involved in response to AI-2 we will identify AI-2 sensing mechanism (receptors) in commensal and pathogenic members of the microbiota belonging to the Clostridiaceae. For that, new AI-2 fluorescent probes will be designed and synthesised. The Clostridiaceae family are relevant members in the mammalian gut. These organisms include both beneficial as well as pathogenic members and we want to identify strategies to promote the beneficial response while inhibiting the pathogenic ones to promote a healthy microbiota community. Our hypothesis is that synthetic AI-2 can help in the recovery of a healthy bacterial phyla ratio after a distress, like antibiotic treatment.

Keywords: quorum sensing,ai 2,prodrugs,carbohydrate chemistry,fluorescent probes
Navigating energy storage challenges: profitability and net zero goals in Europe's energy transition (GREENER)

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: Italy
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): 172750.08
EU funding (EUR): 172750.08
Participants: 1
Project status: SIGNED

Up to $3 trillion must be invested in large-scale energy storage (LES) to deal with the intermittency of renewable energy and achieve net zero by 2050. Yet, critical questions remain open: 1) Will this substantial investment in LES cannibalise its own market? 2) Even if profitable, does the self-interest of private storage investors align with the public goal of achieving net zero? If not, what incentive schemes can be designed to address these two problems? How will these problems evolve from now to 2050 across Europe? This research project will answer these questions, first investigating: (i) the self-cannibalisation (i.e., how the increasing LES deployment can reduce profitability in its own market); (ii) the cross-cannibalisation (i.e., how the increasing renewable penetration will affect storage revenues); and (iii) how the trajectory of these two aspects will evolve from present days until 2050 in Europe. Then, policy recommendations and an incentive scheme will be designed to support merchant investments in this context.

Keywords: electricity market modelling,energy storage,carbon emission
Breaking the wall between professional science and citizen science by hyperautomation (HyperCitizen)

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: Finland
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2023-07-01
End date: 2024-12-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Citizen science has become an integral part of biodiversity research with enormous potential for both improving biodiversity monitoring and involving citizens in scientific projects. However, the full integration of data generated with citizen science in professional research programs has not been fully reached. This is largely due to methodological challenges that compromise the value of the data that most citizen science projects have up to date generated. HyperCitizen will create an innovative solution that enables citizen science projects to generate data that are essentially equally informative as data generated by professional scientists. At the same time, HyperCitizen will provide additional value for the citizen scientists themselves, engaging them more profoundly to scientific research than has been earlier possible. HyperCitizen derives from recent results generated by the ERC-Synergy project LIFEPLAN: “A Planetary Inventory of Life – a New Synthesis Built on Big Data Combined with Novel Statistical Methods”. HyperCitizen will develop a mobile phone application for citizen science -based bird monitoring, enabling real-time interaction with users by hyperautomation. It will further develop computationally highly scalable methods for (i) convolutional neural network -based bird vocalization classification and (ii) joint species distribution modelling used produce prediction maps on past, present and future distributions of birds and their vocalizations. The proof of concept will be delivered by teaming up with bird enthusiast organizations and the Finnish national broadcasting company to launch and run a citizen science campaign on Finnish bird monitoring, culminating in the Great Migratory Bird Evening in spring 2024. HyperCitizen aimed to demonstrate how public can be engaged in research in a way that breaks the current wall between citizen science and professional science.
Reagentless Organic Synthesis (Reagentless-Org-Synt)

Framework: Horizon Europe — Excellent Science
Programme: Marie Skłodowska-Curie Actions (MSCA)
Theme: Marie Skłodowska-Curie
Destination: Postdoctoral Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: France,Germany
Call: MSCA Postdoctoral Fellowships 2023 (HORIZON-MSCA-2023-PF-01, 2023)
Start date: 2024-06-01
End date: 2026-05-31
Duration (months): 24.0
Total project cost (EUR): 211754.88
EU funding (EUR): 211754.88
Participants: 2
Project status: SIGNED

This project proposal, "Reagent-less Organic Synthesis through Vibrational Strong Coupling," addresses the pressing need in synthetic chemistry for sustainable and environmentally friendly chemical transformations. It aims to harness the power of vibrational strong coupling (VSC) to enable reagent-less, clean chemical reactions with maximum atom economy and minimal waste generation. VSC involves selectively coupling a molecule's vibrational transition to the zero-point electromagnetic fluctuations of an optical cavity. This coupling, even in the absence of light, creates vibro-polaritonic states that can alter the ground-state reactivity landscape. VSC being a nascent field has shown promise in modifying some chemical reactions, however, many fundamental questions remain unanswered. The research plan combines the fabrication and characterization of optical cavities, monitoring coupling strength and reaction kinetics using FT-IR spectroscopy, product characterization with GC-MS and NMR spectroscopy, and advanced spectroscopic techniques. Collaboration with experts in computational quantum physics will bridge the gap between theory and experiment. This project's innovative aspects lie in its potential to achieve selectivity in chemical reactions that are challenging or impossible through conventional methods, eliminating the need for expensive catalysts, hazardous reagents, or harsh conditions. By exploring a range of reactions and studying the underlying principles, this project contributes to sustainable chemical synthesis, aligning with the goals of circular economy strategies and innovative energy-efficient practices.

Keywords: polaritonic chemistry,strong coupling,product selectivity,organic synthesis,vibrations,