Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Governance by data infrastructure in the post-pandemic democracy (DATAGOV)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Soci al World and Its Interactions
Panel description: Sociology, social psychology, education  sciences , communication  studies
Countries involved: Netherlands
Call: ERC ADVANCED GRANTS (ERC-2023-ADG, 2023)
Start date: 2025-03-01
End date: 2030-02-28
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Facial recognition cameras, digital identity systems, and health dashboards have become a staple of daily life. By generating data aimed at monitoring or decision-making, these “regulatory data infrastructures” take up functions that were once performed by humans inside state entities and public administrations. Regulatory data infrastructures are at the core of a new mode of governance normalized in the post-pandemic society, termed “governance by data infrastructure”. With the pandemic and generative AI accelerating the digital transition of society, regulatory data infrastructures are creeping further into public and private space—at high societal costs. DATAGOV explores the dynamics of governance by data infrastructure in the post-pandemic democracy in the European Union and non-Western countries (Brazil, India, and South Africa). It focuses on three consumer technologies disciplining the social—biometrics, digital identity and health technology—as living laboratories to explore how regulatory data infrastructures become agents of governance. Contributing to critical data studies, the project deploys qualitative and participatory methods to examine how governance by data infrastructure transforms three key areas of concern to the modern state: citizenship, state sovereignty, and inequality. DATAGOV breaks new ground in four areas. i) By mobilizing the notion of regulatory data infrastructure, it evaluates emerging data-centric assemblages and exposes the growing influence of the private sector on the welfare state. ii) By extending the gaze to non-Western democracies, it breaks with “Western” universalistic assumptions on the dynamics of datafication. iii) By developing participatory methods rooted in citizen science, it contributes to methodological innovation for the study of the datafied society. iv) By unmasking the impact of regulatory data infrastructure in the governance of the social, it charts the future of democracy amidst pervasive datafication.

Keywords: regulatory data infrastructure,governance by data infrastructure,citizenship,sovereignty,inequality,biometrics,facial recognition technology,digital identity,health technology,european union,brazil,india,south africa,citizen science,participatory methods,qualitative methods
Breakthrough Innovation Programme for a Pan-European Detection and Imaging Eco-System – Phase-1(B) (ATTRACT Phase-1B)

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: Research and Innovation actions
Countries involved: Switzerland,Belgium,France,Finland,Spain,Germany
Call: Scaling up deep tech ecosystems (HORIZON-EIE-2021-SCALEUP-01, 2021)
Start date: 2022-11-01
End date: 2025-01-31
Duration (months): 27.0
Total project cost (EUR): 4999906.13
EU funding (EUR): 4999906.0
Participants: 9
Project status: CLOSED

The ATTRACT Phase-1(B) project delivers an important new angle to the already established and highly regarded ATTRACT Model which created an European eco-system for breakthrough detection & imaging (D&I) technology development based on co-innovation. The precursor H2020 ATTRACT Phase-1(A) and Phase-2 projects have already proven that - in principle - the development of breakthrough innovation from basic science towards market applications does not need to be a matter of chance. It can lead to much faster results if managed and supported consistently through the creation of an trusted ecosystem between research, academia, industry and public/private investment communities. In neither precursor projects, however, the ATTRACT Consortium specified topics to be funded and opted for a bottom up approach. In light of the societal challenges that Europe faces, the ATTRACT Consortium now feels compelled to explore whether such approach remains valid, or whether ATTRACT - as an instrument - can work equally well when an element of research pre-determination is introduced. In the ATTRACT Phase-1(B) project, the pre-determining factor is 'D&I for Earth observation and monitoring', as such technologies directly contribute to a better understanding of the dynamics of nature-human interaction, environmental changes and Climate Change. The ATTRACT Consortium will fund 30 breakthrough D&I concepts at €100.000 each. Third Party Open Call applicant consortia will have 12 months to investigate the scientific merits, technical feasibility, and potential game-changing applicability potential of their concept up to TRL level 3-5. Technologies should be capable of collecting data (physical, chemical, biological, etc, characteristics) with high specificity and extreme sensitivity whilst offering high spatial and temporal resolution and massive parallelism. They should be suitable for seamless integration into pervasive, low cost, and low-power ICT systems (incl. portable, wearable, IoT).

Keywords: detection,imaging,co innovation,research infrastructures,industry,breakthrough,open science,open innovation,design thinking,eco system
Synthesis of Transition metal dichalcogenides Optimized for MRAMs (STORM)

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: Physics
Countries involved: Spain
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2022-11-01
End date: 2024-10-31
Duration (months): 24.0
Total project cost (EUR): 181152.96
EU funding (EUR): 181152.96
Participants: 2
Project status: CLOSED

Energy use in information and computation technology (ICT) is growing unsustainably. The pandemic has further accelerated this trend: greenhouse gas emissions were lower in 2020 than in 2019 globally (due to overall decreased economic activity) but the increase in demand for digital connection translated in ICT using 8% of the world's electricity – a figure that keeps rising yearly. It is therefore imperative to reduce computing power consumption. Aim of this project is the functionalization of 2D transition metal dichalcogenides (TMDs) for their use as channel layers in spin-orbit torque magnetic RAMs (SOT-MRAMs). Compared to current e-FLASH memories used in ICT, SOT-MRAMs require significantly lower operation voltage while having orders of magnitude higher endurance. To improve the efficiency of SOT-MRAMs beyond the state of the art, STORM will develop methods to maximize the TMDs valence-band spin-orbit splitting. A larger spin-orbit splitting translates in a larger torque exerted on an adjacent ferromagnet, thus reducing the current needed for the "writing" operation of the SOT-MRAM operation. After optimizing the channel layer, TMD/ferromagnet heterostructures will be realized and studied, to reproduce the assembly at the heart of SOT-MRAMS. Implemented at IMDEA Nanociencia under the supervision of A. Vazquez de Parga, STORM will allow the researcher to learn new materials growth (MBE) and analysis techniques (SR-ARPES). Interdisciplinary expertise will be developed during a secondment period at ALBA Synchrotron, under the supervision of P. Gargiani. A collaboration with an industrial partner (M. Drouard at Antaios) will strongly benefit the researcher's intersectoral communication skills. The exploitation and communication plan ensure impactful sharing of the results at multiple levels. Thanks to the transfer of knowledge between researcher and the hosting groups STORM is set to be a step towards the realization of low-power, technologically relevant devices.

Keywords: molecular beam epitaxy scanning probe microscopy transition metal dichalcogenides sot mrams
Innovative End Locker for Efficient Design for Disassembly (DfD) in Concrete Construction (CircuLock)

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: United Kingdom,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): 260347.92
EU funding (EUR): 260347.92
Participants: 2
Project status: SIGNED

The construction sector is responsible for more than 7 % of the world’s anthropogenic CO2 emissions, primarily due to cement production. The cement production alone accounts for 4 % of CO2 emissions in the European Union (EU). The construction sector is also resource intensive, using billion tons of natural resources and generating billions of tons of construction and demolition (C&D) waste yearly. In fact, approximately 30 % of all waste within the EU comprises C&D waste. To address these challenges and move towards a sustainable society, it is imperative to implement circular economy (CE) principles within the construction industry. A key strategy is to design the structural elements with the ability to disseminate and reuse in different projects, a design approach known as Design for Disassembly (DfD). This project focuses on the design, development, and evaluation of an innovative corrosion-free end locker to enable an efficient DfD in RC structures. By aligning with CE principles, our approach aims to significantly reduce CO2 emissions, minimise waste, and realise cost savings. This venture not only promises a sustainable shift in the construction domain but also propels advancements in material science, structural engineering, and numerical modelling. The project is product oriented, complemented by the development of design guidelines for practical applications of the locker system aligned with a novel construction practice.

Keywords: construction industry,finite element simulations circular economy structural,design for disassembly
AI-Twins of Human Experience: Towards Personal Generative AI-Systems for Amplifying Human Cognition (AI-Twin)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC ADVANCED GRANTS (ERC-2024-ADG, 2024)
Start date: 2025-12-01
End date: 2030-11-30
Duration (months): 60.0
Total project cost (EUR): 2495475.0
EU funding (EUR): 2495475.0
Participants: 1
Project status: SIGNED

We aim to establish a scientific foundation for AI-twins of human experience - personalized multi-modal generative AI systems that capture and encode an individual’s real-world experiences and tacit knowledge. Through continuous data capture from wearable devices, we will explore and develop AI-twins as advanced personal systems for storing and processing human experiences. We believe AI-twins can augment human cognitive and social abilities and enhance human executive functions such as memory creation and retrieval, metacognition, planning and prioritizing, decision making, and creativity. AI-twins will enable personal simulations of future scenarios grounded in one's own experience. By effective cognitive augmentation, AI-twins will allow a symbiotic human-AI relationship built on real and individual experiences. Using ubiquitous sensing, we hope to continuously add new and authentic real-world information (e.g. texts, conversations, images, gaze, location) to ensure the sustainability of the generative AI model, reducing the risk of model degradation or collapse. We will adopt an experimental approach, prototyping functional systems that facilitate in-situ capture, processing, storage, and access. We will empirically explore applications in skill acquisition, human memory aids, self-reflection, and social networking to assess the potential impact qualitatively and quantitatively. In addressing technical and ethical challenges, we will look at the implications of design decisions on user privacy and the system's utility. This project has the potential to transform personal data utilization, enabling cognitive augmentation and social connectivity through AI. We will also explore the broader impact of AI-twins beyond personal use, envisioning societal knowledge sharing through the fusion of these models. Ultimately, this research aims to pioneer human-AI symbiosis, leading to a form of personalized symbiotic intelligence grounded in authentic human experiences.

Keywords: human computer interaction,hci,ubiquitous computing,human augmentation,wearable computing,genai,generative ai,generative ai models,generative ai systems,large language modals,llms,multimodal large language models,mllms
PD ASSISTANT: AN ADAPTIVE DIGITAL HEALTH SOLUTION FOR PERSONALIZED THERAPY MANAGEMENT IN PARKINSON’S DISEASE (PD Assistant)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Italy
Call: EIC Accelerator 2024 - Short application (HORIZON-EIC-2024-ACCELERATOR-01, 2024)
Duration (months): 36.0
Total project cost (EUR): 2300000.0
EU funding (EUR): 2300000.0
Participants: 1
Project status: SIGNED

PD Assistant is a project under development by Brain Innovations, a startup spin-off of Campus Bio-Medico University of Rome. The startup aims to provide innovative solutions for the clinical management of neurological diseases, combining the team's clinical knowledge with AI-based technologies. In particular, the startup is focused on developing a set of solutions to resolve the main complexities related to the clinical management of Parkinson's Disease, along the patient journey, including low diagnosis accuracy, lack of objective biomarkers for monitoring and difficulties in therapy management for symptom fluctuations. While Answer to PD, a set of devices for diagnosis and monitoring of Parkinson's disease at TRL 8 development stage, is expected to enter the market by 2025, PD Assistant, a set for personalised treatment for Parkinson's disease, is currently under testing at TRL 5 development stage. PD Assistant aims at providing personalised therapeutic dosage recommendation to patients, based on symptom monitoring and detection of antiparkinsonian drug blood levels. In addition, PD assistant can be integrated with external devices, such as infusion pumps and deep brain stimulation systems, to automatically provide real-time personalised and adaptive therapy based on the patient's real needs. The solution will be based on data collected through kinematic and biochemical wearable sensors embedded in smartwatch, in addition to clinical data gathered through mobile and web apps ad direct input from patients and physicians. Collected data will be analysed through artificial intelligence-based algorithm that can stabilise a patient's motor fluctuations by granting an optimised amount of therapy in real time avoiding under- or overdoses. Ultimately, PD Assistant will provide concrete support for neurologists' decision-making, improving patients' quality of life and making therapeutic management more efficient.

Keywords: adaptive therapy,digital health,personalized therapy,medical device,parkinson s disease
Rejuvenation of the Intervertebral Disc Using Self-Healing Biomimetic Extracellular Matrix Biomaterial Tissue Adhesives (iDISC)

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: Ireland
Call: ERC PROOF OF CONCEPT GRANTS (ERC-2023-POC, 2023)
Start date: 2024-04-01
End date: 2025-09-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: SIGNED

Lower back pain is a global epidemiological and socioeconomic problem. This project envisions a future whereby patients with degenerated intervertebral discs are injected with a self-healing biomimetic adhesive biomaterial which can restore both the biochemical and biomechanical properties to native tissue levels. Current surgical procedures do not replace herniated tissue from the central nucleus pulposus or repair the annulus fibrosus (outer ring of tissue), which can lead to accelerated degeneration, reherniation and recurrent pain. Spinal fusion, whereby the compromised or degenerated tissue is removed, and the vertebral segments are fused together, does not restore biomechanical function leading to degeneration of adjacent discs with long-term failure rates as high as 40%. My lab has developed a biomimetic injectable hydrogel (iDISC) consisting of the main components (collagen and chondroitin sulfate) of native disc tissue that can be tailored to match the biochemical and biomechanical properties of native disc tissue. In addition, the iDISC hydrogel demonstrates self-healing and adhesive properties to facilitate tissue integration and exhibits excellent cell biocompatibility. The objective of this proposal is to perform in depth in vitro characterisation (WP1), multiaxial biomechanical testing (WP2), pre-clinical evaluation (WP3) and marketing and commercialisation evaluation (WP4). The development of these injectable biomimetic hydrogel systems may facilitate earlier interventions aimed at halting the degenerative process, restore natural biomechanical function, enhancing patient accessibility, improving quality of life, reduce healthcare expenses and lost productivity in the European Union. The platform technology and knowledge generated through this research are beyond the current state-of-the-art and will provide a significant transformative scientific and clinical step change opening new horizons in minimally invasive spine treatment strategies.

Keywords: spine intervertebral disc back pain injectable hydrogels biomimetics
Closed-loop control of fungal materials (LoopOfFun)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Pathfinder
Destination: Challenges
Action type: EIC actions
Countries involved: Netherlands,Slovenia,Germany,France
Call: Engineered Living Materials (HORIZON-EIC-2021-PATHFINDERCHALLENGES-01, 2021)
Start date: 2022-11-01
End date: 2027-10-31
Duration (months): 60.0
Total project cost (EUR): 4098438.0
EU funding (EUR): 4098438.0
Participants: 6
Project status: SIGNED

In an interdisciplinary approach, LoopOfFun will develop a conceptual and technological framework for the efficient and effective development of fungal-based living materials with open- and closed-loop control of mechanical and structural properties. This framework is based on four pillars: (i) the development of genetically encoded sensors and actuators for reading and writing mechanical and structural material properties as well as the assembly of these modules to open- and closed-loop control circuits, (ii) the identification of filamentous fungi with naturally evolved superior properties for material synthesis as well as accessing them for synthetic biology-based programming, (iii) the development of the 4D Explorer, an automated, robotized platform for the efficient and effective development of engineered living materials based on iterative design-build-test-learn cycles, and (iv) a holistic approach for designing the final products based on the novel opportunities of LoopOfFun advances. Following this framework, LoopOfFun will produce materials featuring open- and closed-loop control of mechanical and structural properties. The intrinsic control features make the materials robust towards environmental fluctuations while aligning material properties with usage characteristics. The development and applicability of the novel materials will be shown by producing two different demonstrator materials at cm-m scale, one as structural material and the other one for pollutant degradation. The framework developed here as well as its underlying routines can generically be applied for the design and optimization of ELMs made of other organisms and matrices. LoopOfFun has an effective strategy for IP protection as well as for dissemination and interaction with commercialization partners. LoopOfFun will comprehensively address its stakeholders and establish a communication strategy designed at promoting ELMs as a sustainable contribution to the EU technology field.

Keywords: optogenetics,gene circuit,filamentous fungi,3d bioprinting
Sex determination genes as a toolbox for F1 hybrid seed production and yield increase (HybridSeed)

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: France
Call: ERC PROOF OF CONCEPT GRANTS1 (ERC-2022-POC1, 2022)
Start date: 2024-01-01
End date: 2025-06-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

The food security on the planet is still a challenge. Experts predict that we will need to double food production in order to feed a population projected to reach 9,2 billion by 2050. Crop improvement should not only focus on species such as maize, wheat and soybean. Many other crops contribute to food security. The Cucurbitaceae family is positioned in front list of plant families for the number of species used as human food and for cultural, medicinal, and botanical significance. According to FAO estimate, despite a large growing area improving yield of many Cucurbitaceae crops could significantly add to food security. F1 hybrid cultivars have made a significant contribution to the world's food supply. Yet, one of the continuing challenges of plant breeding is still to master production of F1 hybrid seeds in many crops. The production of F1 hybrid seeds requires controlled pollination to ensure that the seed descent is indeed resulting from a crossing and not from a self-fertilization. Most of cultivated Cucurbitaceae species are monoecious or andromonoecious. The use of these two sexual morphs for F1 hybrid production requires hand emasculation and hand pollination of the female parental line. Furthermore, monoecious and andromonoecious sexual morphs are usually hurdles for yield improvement and yield stability. HybridSeed project aims to engineer plant prototypes with the goal to (i) reduce the cost of F1 hybrid seed production, (ii) improve yields of F1 hybrid plants, and (iii) simplify the itinerary of the crops, from the seed companies to the producers. HybridSeed technology is built on the knowledge of the genes controlling the development of unisexual and hermaphrodite flowers and their use to engineer sexual types that do not exist in nature, or more stable than those currently existing. The produced plant prototypes will be grown in conditions approaching seed companies and producer conditions and evaluated for yield and yield stability.