Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Health Innovation Procurement Support Services (HIPSS)

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: Germany,Spain,Belgium,Netherlands
Call: Specialist Advisory Services to build capacities on innovation procurement (HORIZON-EIE-2023-CONNECT-02, 2023)
Start date: 2024-09-01
End date: 2026-08-31
Duration (months): 24.0
Total project cost (EUR): 1147948.01
EU funding (EUR): 999706.96
Participants: 6
Project status: SIGNED

Innovation procurement in health includes several complex processes including, but not limited to, needs identification and assessment, market maturity assessment, supply value chain rearrangement, digital transformation and reorganisation, demand business case definition and suppliers business models alignment, new roles for value chain actors as suppliers, users, consumers, co-creation of solutions regulated by contracts complying with the EU Treaty principles (transparency, open competition, non-discrimination and equal treatment, proportionality and mutual recognition), value generation along the innovation pathway, investors support and risks distribution between the demand and the suppliers. Such issues should be understood and addressed by all participants in the ecosystem to effectively execute innovation while also mitigating inherent risks throughout the innovation pathway. The project addresses the critical needs of public procurers (hospitals, health system and insurers) and the innovation providers (Small and Medium-sized Enterprises (SMEs) and industry) within the healthcare sector through the creation and activation of a sustainable and scalable platform of specialist advisory services on public procurement of innovation. The solution takes as a starting point the individual expertise and know how built up by each of the consortium partners in their work within the healthcare sector, dating back to 2012, which covers distinct perspectives including providing SME support, incubation and acceleration; providing consulting services on the sides of public procurers and innovation SMEs; providing legal expertise on public procurement exercises; providing access to market, access to finance, and fast tracking innovation support services. Based on the diverse set of experiences the consortium partners have garnered in their own spaces, they are uniquely well positioned to join forces and address the existing challenges in bridging fragmentation gaps.

Keywords: procurement innovation public procurement innovation procurement specialised advisory services healthcare health
Europe, Covid Politics and the (Un)Expected Surge of Nationalistic Narratives (EUROSICK)

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: Belgium
Call: MSCA Postdoctoral Fellowships 2021 (HORIZON-MSCA-2021-PF-01, 2021)
Start date: 2023-09-01
End date: 2024-08-31
Duration (months): 12.0
Total project cost (EUR): 95880.0
EU funding (EUR): 95880.0
Participants: 1
Project status: CLOSED

In the face of the outbreak of the novel coronavirus, the unity of the European Union, at least at the beginning of the crisis, started to crumble. By closing their borders and introducing a travel ban for the Schengen Area, European countries have retreated into national fortresses. These initial policies and the recent vaccine-related management of the pandemic shows the role nationalism plays in the context of public health responses to emergencies, including evacuations and quarantines, travel and socio-cultural constraints. While many scholars have started to document the impact of these measures on citizens, human rights, migrants, and so on, almost no attention has been paid 1) to examine and to compare configurations of different European national identities that were generated in the course of the management of the pandemic, and 2) to a sociohistorical perspective to investigate the possible links between those nationalistic and war-related discourse and the exclusionary and inefficient policies and practices that surge in Europe and beyond. Eurosick will innovatively conjoin the sociology of migration and nationalism with research on historical disasters to fill this gap. It will do so, benefitting from my expertise in the analysis of discourse-practice nexus, and through an examination of media coverage of the COVID-19 pandemic and the related policy documents in three European countries (Belgium, Italy, and Switzerland); and in three points in time: before the outbreak in Europe, at the time of the outbreak, and at the beginning of 2021 following the implementation of the COVID-19 vaccination programmes. The analysis will be carried out using critical discourse analysis, an interdisciplinary approach used to study oral and textual discourses, which views language as a social practice. These learned lessons will impact the capacity of Europe to tackle the future crises in a more collective and efficient way.

Keywords: nationalisms,history of disasters,social theroy
The Colonized Cannot Consent: A Decolonial Analysis of Data Rights, Data Sovereignty, and the Doctrines Underpinning Large-Scale AI Systems (COLONAILISM)

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: United Kingdom
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2025-07-01
End date: 2027-06-30
Duration (months): 24.0
Total project cost (EUR): 276187.92
EU funding (EUR): 276187.92
Participants: 1
Project status: SIGNED

Situated at the intersection of colonial history and sociotechnical analyses of AI, COLONAILISM investigates the apparent degradation of the doctrine of (digital) consent, specifically as it pertains to data collection by AI labs for the development of large-scale AI systems. Its analysis excavates the strong and instructive analogy with the period in colonial history during which the very same concept was subject to scrutiny because critics came to argue that Indigenous actors lacked the capacity to give verifiable consent in treaties involving the cession of sovereign rights. Such a revision resulted in conditions that caused 75% of the world's people to become subject to colonial powers. The analogy suggests the same power concentration/alienation has the potential to recur (if it hasn’t already) following rather similar dynamics in the scramble for user data that is accompanying the development of new foundation models. Importantly, COLONAILISM makes interventions not only in the academic discourse, but also in policy formation (at the municipal and global levels), and industry by developing new decolonial ethics, safety, and governance toolkits AI labs can use to identify and mitigate practices that are harmful to human systems or exploit their value unfairly.

Keywords: artificial intelligence digital inequality digital colonialism internet geography data ethics and governance ai ethics and society data collection practices data sovereignty
quantum-enhanced shadows: scalable quantum-to-classical converters (q-shadows)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer Science and Informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Austria
Call: ERC STARTING GRANTS (ERC-2023-STG, 2023)
Start date: 2024-07-01
End date: 2029-06-30
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Large-scale quantum experiments do not work in isolation. Substantial classical computing power is required to control the experiment and process the results. This necessarily creates information-transmission bottlenecks at the interface between quantum and classical realms. These bottlenecks create scalability issues that prevent us from using existing architectures to the best of their capabilities and may even impair our ability to further scale up system sizes. In this project, we adopt a unifying framework that takes into account all computing resources (quantum and classical). We develop quantum-to-classical converters to overcome information-transmission bottlenecks. Dubbed shadows, they leverage randomization, as well as quantum-enhanced readout strategies to obtain a succinct classical description of an underlying quantum system that can then be used to efficiently predict many features at once. The shadow paradigm is compatible with near-term quantum hardware and utilizes genuine quantum effects that do not have a classical counterpart. Building on these ideas, we also establish rigorous synergies between quantum experiments and classical machine learning. Shadow learning protocols use shadows to succinctly represent training data obtained from actual quantum experiments. A classical training stage then enables data-driven learning of genuine quantum phenomena. Finally, we develop new tools to ensure reliable execution on current quantum hardware, thus bridging the gap between theory and experiment. My interdisciplinary skill set combines methods from modern computer science with quantum information and has already led to numerous high-impact contributions (e.g. 1 Nature Physics with more than 350 citations and 2 Science publications). These insights form the basis for this larger project, where we lay the foundation for scalable and practical quantum data processing and learning that can keep up and grow with future improvements in quantum technology.

Keywords: classical shadows,noisy quantum computation,quantum information,rigorous machine learning,quantum simulation,tensor network representations
Scewo GO- A Breakthrough in Deep Tech Accessible Rehab Mobility – Launching the First Fully Integrated Stair-Climbing Wheelchair. (SGEIC2025)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Other destinations
Action type: EIC actions
Countries involved: Switzerland
Call: EIC Accelerator 2025 - Short application (HORIZON-EIC-2025-ACCELERATOR-01, 2025)
Duration (months): 30.0
Total project cost (EUR): 7.5
EU funding (EUR): 7.5
Participants: 1
Project status: CLOSED

Scewo GO, a Breakthrough in Deep Tech Accessible Rehab Mobility – Launching the First Fully Integrated Stair-Climbing Wheelchair. Scewo GO is the first fully modular, clinically compliant stair-climbing power wheelchair designed to establish a new category of advanced rehabilitation mobility devices. Building on the proven real-world performance of the Scewo BRO and validated through extensive TRL-6 demonstrations, Scewo GO addresses critical shortcomings of current mobility solutions, including the inability to overcome architectural barriers, limited clinical adaptability, and insufficient integration into reimbursement systems. The system combines adaptive hardware, intuitive control interfaces, and a highly modular seating and support architecture that can be tailored to individual medical needs, therapeutic requirements, and insurance frameworks. As European accessibility regulations tighten and demand for independent mobility increases, Scewo GO provides a scalable, reimbursement-ready solution for users with complex mobility impairments. With its clinically oriented design, strong safety performance, and validated market readiness, Scewo GO has the potential to redefine barrier-free mobility and significantly advance social participation, healthcare efficiency, and user autonomy across Europe and beyond.

Keywords: stair climbing electric wheelchair
Finding new target to modulate food intake (FEEDING)

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: Life Sciences
Countries involved: Belgium
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-10-01
End date: 2025-09-30
Duration (months): 24.0
Total project cost (EUR): 175920.0
EU funding (EUR): 175920.0
Participants: 1
Project status: SIGNED

Obesity is a major burden to public health as it increases the risk of several chronic diseases, like diabetes, cardiovascular diseases, musculoskeletal disorders or some cancers. Energy homeostasis is centrally regulated by the hypothalamus where the arcuate nucleus (ARC) orchestrates feeding behaviors and energy balance. Two neuronal populations of the ARC are considered as the first-order neurons mediating the effects of various signals such as leptin and insulin, the orexigenic neuropeptide (NP)Y/Agouti-related peptide (AgRP) neurons and the anorexigenic pro-opiomelanocortin (POMC)/Amphetamine-regulated transcript (CART) neurons. Leptin is an adipocyte-secreted peptidic hormone that inhibits food intake and regulates body weight. Nearly in all forms of obesity, circulating levels of leptin increase but fail to suppress food intake and body weight. This condition has been identified as "leptin resistance". G protein-coupled receptors (GPCRs) are the largest family of membrane proteins and a notoriously successful source of drug targets. However, many GPCRs are understudied or even orphans meaning they have no known ligands. Despite our knowledge of the principal circuits regulating feeding, satiety, hunger and energy expenditure, we have been unable to deliver effective drugs targeting these systems. The failure in targeting the melanocortin pathways comes out partly from an incomplete understanding of leptin action, especially leptin resistance, at the central level. Here, we propose to investigate the interplay between the signaling of orphan GPCR and leptin receptor in leptin sensitive cells of the arcuate nucleus. To do so, we will use conditional knockout animals and pharmacological modulators. We will measure various metabolic parameters including weight and food intake with the Comprehensive Laboratory Animal Monitoring System (CLAMS). We will also establish hypothalamic cell cultures in which we will address the impact of G protein signaling on leptin.

Keywords: orphan gpcr,leptin,leptin receptor,lepr,obr,hypothalamus,arcuate nucleus,g protein,signaling,food intake,obesity,weight gain,clams,drug screening,pomc,npy,stat3,leptin resistance
A microfluidic chip-based approach for nanoplastic risk assessment (TOXCHIP)

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: Portugal,Spain
Call: MSCA Postdoctoral Fellowships 2024 (HORIZON-MSCA-2024-PF-01, 2024)
Start date: 2026-02-01
End date: 2028-01-31
Duration (months): 24.0
Total project cost (EUR): 207183.12
EU funding (EUR): 207183.12
Participants: 3
Project status: SIGNED

Aquatic ecosystems are facing increasing pressure from contaminants, including nanoplastics (NPLs). These particles pose serious risks to organisms, as they can cross epithelial barriers and cause adverse effects. However, identifying the concrete impacts of NPLs remains challenging due to methodological flaws in traditional static methods. NPLs tend to aggregate in static water, altering their interactions with organisms and causing inconsistencies in data and cause-effect relationships. To address these challenges, Lab-on-a-Chip (LOC) technology is proposed in TOXCHIP. LOC systems integrate multiple laboratory functions onto a single chip, creating microenvironments that simulate natural aquatic conditions. These microenvironments regulate flow rates, shear forces, and mixing, preventing conditions that promote NPL aggregation and enhancing the accuracy of ecotoxicological assessments. By creating a more dynamic and controlled fluidic environment, LOC devices offer a powerful solution to understanding the risks of NPLs. High-throughput screening technologies like LOC represent a significant advancement toward more accurate, cost-effective, and ethical analysis. The next generation of risk assessment will most likely rely on such advances to protect human and environmental health in the face of a complex pollution landscape. The anticipated outcomes have the potential to push the boundaries of aquatic ecotoxicology by offering groundbreaking insights and more precise evaluations of plastic pollution’s real-world impacts. Beyond its scientific contributions, TOXCHIP holds significant economic and societal implications. This pioneering approach supports the EU’s mission to protect biodiversity and enhance water quality and lays the groundwork for future risk assessment frameworks. By generating reliable, actionable data, TOXCHIP will bolster the development of science-based regulations and policies, ultimately advancing a more sustainable aquatic future.

Keywords: environmental risk assessment,ecotoxicity,plastic pollution,microfluidics
Advanced HYBRID solar plant with PCM storage solutions in sCO2 cycles. (HYBRIDplus)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Research and Innovation actions
Countries involved: Spain,Sweden,Germany,France,Türkiye
Call: Novel approaches to concentrated solar power (CSP) (HORIZON-CL5-2021-D3-03, 2021)
Start date: 2022-10-01
End date: 2026-09-30
Duration (months): 48.0
Total project cost (EUR): 3566216.25
EU funding (EUR): 3566216.25
Participants: 10
Project status: SIGNED

HYBRIDplus:Advanced HYBRID solar plant with PCM storage solutions in sCO2 cycles. HYBRIDplus aims to pioneer the next generation of CSP with an advanced innovative high-density and high-temperature thermal energy storage (TES) system capable of providing a high degree of dispatchability at low cost and with much lower environmental burden than the State of the Art. This thermal storage is based in the Phase Change Material (PCM) technology in a cascade configuration that can reproduce the effect of a thermocline and integrates recycled metal wool in its nucleus that provide hybridization possibilities by acting as an electric heater transforming non-dispatchable renewable electricity such as PV into thermal stored energy ready to be dispatched when needed. HYBRIDplus proposes a novel approach to concentrated solar power with a PV+Cascade PCM-TES CSP configuration based on a high temperature supercritical CO2 cycle working at 600 ºC. This new plant is called to form the backbone of the coming energy system thanks to a higher efficiency and lower LCoE than state-of-the-art technology, and in addition to other benefits such as full dispatchability reached with the hybridization in the storage that allow higher shares of variable output renewables in the energy system and environmental friendliness (lower CO2 emissions, minimum water consumption, enhancement life cycle impact).

Keywords: energy storage,csp,pcm,hybridization
A perturbative approach to model retinal processing of natural scenes (DEEPRETINA)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing , nervous system  function and dysfunction , systems neuroscience  and modelling , biological basis of cognitive processes and of behaviour, neurological and mental disorders – In humans and all other organisms
Countries involved: France
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2022-10-01
End date: 2027-09-30
Duration (months): 60.0
Total project cost (EUR): 1998280.0
EU funding (EUR): 1998280.0
Participants: 1
Project status: SIGNED

A major goal of sensory neuroscience is to understand how sensory neurons process natural scenes. Models built from the responses of sensory neurons to simple stimuli do not generalize to predict how complex, natural scene are processed. Even as early as in the retina, this issue is not solved. Deep network models have been proposed to predict the responses of visual neurons to natural stimuli. However, they are still far from being a realistic model of the visual system. First, the sensitivity to perturbations of the stimulus can thus be very different for a deep network model and for our visual system. Second, it is not clear how the model components can be related to actual mechanisms in the brain. Our purpose is to understand how the retina processes natural scenes. We will follow an interdisciplinary approach where we will build realistic deep network models of retinal processing and test them in experiments. We will develop deep network models that can predict ganglion cell responses to natural stimuli, and map the components of these models to specific cell types in the retinal network. Our project is original because it will use two novel methods, that will be key to achieve our goal. The first one is a novel approach to characterize retinal function, where we will probe the selectivity of the retina to perturbations of natural stimuli. The second one is a novel tool based on 2-photon holographic stimulation to decompose the retinal circuit. They are tailored to address the specific issues of deep networks. Each ganglion cell has a receptive field center, the region of visual space whose stimulation evokes the strongest responses. Our project is divided in three parts. We will first understand how natural images are integrated inside the receptive field center. We will then ask how stimulation outside the receptive field center affects ganglion cell processing of natural images. Finally, we will focus on motion processing during natural scene stimulation.

Keywords: retina,deep network,vision,neurophysiology