Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
MIRRA: Microclimate Real-time Remote Applications (MIRRA)

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: Belgium
Call: ERC PROOF OF CONCEPT GRANTS1 (ERC-2022-POC1, 2022)
Start date: 2023-12-01
End date: 2025-05-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Climate change, and its impacts on ecological, agricultural, and other societal systems, is often studied by relying on temperature data derived from official weather stations. Yet, these data do not capture microclimates, influenced by vegetation, soil and topography, operating at spatial scales relevant to the majority of organisms on Earth. Detecting and attributing climate-change impacts with confidence and certainty will only be possible if we better quantify how temperatures are changing in forests, mountains, shrublands, and other remote habitats. Policy makers and land managers urgently need open access to more microclimate data. Here, we develop an open access, integrative Microclimate Real-time Remote Applications (MIRRA) instrument with an associated authoritative, online database to solve this problem. There is an urgent need for a novel, miniature and simple self-assembly open access device with free online data access. The overarching aim of MIRRA is to develop a miniature and simple self-assembly instrument for instantaneous, long-term and remote measurements of microclimate with optimized power usage and data transfer via cellular connectivity. All data become automatically available to everybody online, and MIRRA will thus substantially increase the availability of open access real-time microclimate data from all over the world. As a proof-of-concept showcase, and building on ERC StG FORMICA, we will install the MIRRA system in 45 forests spread across Europe. With the dawn of such novel sensor technology for the long-term, low-cost, real-time and remote sensing of microclimates, we lay the foundation and open a wide range of possibilities to map microclimates in different ecosystems, feeding a next generation of models. This system will serve a multitude of societal needs, now and into the future as climate change accelerates.
Novel drug for dry age related macular degeneration (OPTM.RX)

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: Israel
Call: Women TechEU (HORIZON-EIE-2022-SCALEUP-02, 2022)
Start date: 2023-07-01
End date: 2024-08-31
Duration (months): 14.0
Total project cost (EUR): 107142.86
EU funding (EUR): 75000.0
Participants: 1
Project status: CLOSED

OphtiMedRx is an ophthalmic drug development start-up company led by a team of exceptional women physicians and scientists led by Dr. Dana Rabinovich. OphtiMedRx is developing a novel drug for treating dry age-related macular degeneration (AMD), a leading cause of vision loss. There is no available treatment for dry AMD, which affects 8.7% of the population and a further 2 million diagnosed yearly. The occurrence of AMD steadily increases with age, affecting 2% of the population at age 40 and 20% of people over 75. Our drug candidate, delivered by intravitreal (IVT) injection in a clinic setting without hospitalization, targets cellular aging, termed cell senescence. Our product addresses the underlying cause of dry AMD, allowing for early intervention. Targeting the disease at early stages will halt, or significantly slow, dry AMD progression, preserving vision and maintaining quality of life. We are currently performing preclinical R&D studies and plan to be ready for Phase I clinical trials by the end of 2024. A crucial step toward clinical trials is conducting a pre-Investigational New Drug (IND) meeting with the FDA and a scientific advice meeting with EMA officials. These meetings are an opportunity to gain the agency’s feedback on the design of the proposed nonclinical and clinical studies. Additionally, these meetings will help us determine the budget and timeline for transitioning towards phase I clinical trials, as well as set a goal for the next fundraising round. The financial contribution of this grant will go towards consultant fees, a specialized regulatory firm, and FDA/EMA fees. In addition, as a new CEO, I would greatly benefit from the mentoring and coaching provided by EIC’s Business Acceleration Services, which will help me improve my professional skill set, particularly in investor relations, and assist me with my various management and leadership challenges.

Keywords: age related macular degeneration amd,senescence,drug development,ophthalmology,
FOSTERING THE EUROPEAN ENERGY TRANSITION WITH EXASCALE (EoCoE-III)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: European High Performance Computing
Action type: Research and Innovation actions
Partnership: EUROHPC (JU-JTI)
Countries involved: France,Germany,Italy,Spain,Poland,Belgium
Call: Call on Centres Of Excellence For Exascale HPC Applications (HORIZON-EUROHPC-JU-2023-COE-01, 2023)
Start date: 2024-01-01
End date: 2026-12-31
Duration (months): 36.0
Total project cost (EUR): 5998791.25
EU funding (EUR): 2999393.63
Participants: 18
Project status: SIGNED

The Energy-oriented Centre of Excellence for exascale HPC applications (EoCoE-III) applies cutting-edge computational methods in its mission to foster the transition to decarbonized energy in Europe. EoCoE-III is anchored both in the High Performance Computing (HPC) community and in the energy field. It will demonstrate the benefit of HPC for the net-zero energy transition for research institutes and also for key industry in the energy sector. The present project will draw the experience of two successful previous projects EoCoE-I and EoCoE-II, where a set of diverse computer applications from four energy domains achieved significant efficiency gains thanks to its multidisciplinary expertise in applied mathematics and supercomputing. During this 3rd round, EoCoE-III will channel its efforts into 5 exascale lighthouse applications covering the key domains of Energy Materials, Water, Wind and Fusion. A world-class consortium of 18 complementary partners from 6 countries will form a unique network of expertise in energy science, scientific computing and HPC, including 3 leading European supercomputing centres. This multidisciplinary effort will harness innovations in computer science and mathematical algorithms within a tightly integrated co-design approach to overcome performance bottlenecks, to deploy the lighthouse applications on the coming European exascale infrastructure and to anticipate future HPC hardware developments. New modelling capabilities will be created at unprecedented scale, demonstrating the potential benefits to the energy industry, such as accelerated design of photovoltaic devices, high-resolution wind farm modelling over complex terrains and quantitative understanding of plasma core-edge interactions in ITER-scale tokamaks. These lighthouse applications will provide a high-visibility platform for high-performance computational energy science, cross-fertilized through close working connections to the EERA consortium.

Keywords: energy,exascale,fusion,materials for energy,renewables,linear algebra
Understanding Human-Robot Bonding to Optimize Personal Support (ROBOT-BOND)

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: 2025-01-01
End date: 2029-12-31
Duration (months): 60.0
Total project cost (EUR): 3195850.0
EU funding (EUR): 3195850.0
Participants: 1
Project status: SIGNED

Robots are rapidly entering the human arena as social entities to support education and healthcare where human resources fall short. The ease and naturalness with which humans interact with social robots forebode a high potential but also present new scientific challenges. I see a paradox of nót wanting to emulate humans in robots but still create the human feel in connectedness. Ample research has been done in engineering, design and computer sciences, yet, the question from a human perspective is understudied: Why would one be willing to befriend such a thing? While building affective relationships is crucial to prolonged human-robot interaction, no encompassing theory exists that explains how, why, and when humans would bond with robots. My aim is to fill this knowledge gap and unravel the paradox, by bridging the fragmented multi-disciplinary knowledge in a novel cross-disciplinary and integrative model of Human-Robot Bonding, explaining how and why people differ in relating to robots and when robots can (not) provide personal support. My model identifies key propositions underlying bonding with robots and elucidates how people process reality- and media-based information, explicate the role of emotional states, relevant needs, and affordances, empirically examined through varying communication contexts. My advantageous multi-method approach pairs fundamental with in-situ research, tests my model in lab-studies (WP1) and the real world: in education (WP2&3), healthcare (WP4), and therapy (WP5). It uniquely compares autonomous social robots in different roles in longitudinal designs with new psychometrically sound measurement devices and Bayesian statistics, to bring required methodological innovations to the field. Results complement and integrate current perspectives on robots, enrich the understanding of communication, and has potential ground-breaking implications for science ánd society (WP6), envisioning expansive applicability of communication robots.

Keywords: social robots media psychology mediated communication human robot communication
Evaluating, Identifying and Reducing determinants of MHCs in Youth (EARLY) (EARLY)

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: Germany,Albania,Belgium,Switzerland,Moldova, Republic of,Netherlands,Poland,Portugal,Romania,Serbia,Slovenia,Spain,Israel,Italy
Call: Non-communicable diseases risk reduction in adolescence and youth (Global Alliance for Chronic Diseases - GACD) (HORIZON-HLTH-2022-DISEASE-07, 2022)
Start date: 2023-12-01
End date: 2027-11-30
Duration (months): 48.0
Total project cost (EUR): 3014766.25
EU funding (EUR): 3014766.0
Participants: 20
Project status: SIGNED

EARLY project aims to reduce the burden of non-communicable diseases such as mental health conditions (MHC), especially depression, anxiety, stress disorders, substance use disorders and identify and reduce risky modifiable exposures for these conditions in youth. EARLY will pursue this goal through developing a comprehensive exposure matrix which can be adapted to emerging new risks, to understand youth, parents`, and stakeholders perceptions, we will conduct qualitative, interviews, by providing representative, multinational data on youth MHC and through developing, implementing and evaluating a multicomponent intervention. This will serve as an innovative model for promoting mental health and preventing MHC. EARLY is a mixed methods study which combines qualitative and quantitative methods. To provide a overview on youth mental health measures we will review measures, to provide data on exposure factors and whether exposure estimates vary by country, age, and gender, we will review studies and identify and merge available data on youth mental health; to provide insights on perceptions we will conduct focus groups with end-users. To provide representative data on youth MHC we will conduct a cross-sectional survey which are the baseline data for the multicomponent pilot intervention in five selected countries. To provide data on effectiveness and sustainability of interventions to reduce MHC we will conduct a multicomponent intervention. The results will be a a) model of youth mental health, b) a matrix of exposures, c) insights and understandings on end-users perceptions of youth mental health, d) knowledge on services for use in the European region and identification of needs; e) representative data on youth mental health which can be easily accessed by researchers and policymakers; f) data on effectiveness and sustainability of interventions to reduce both exposures and MHC in youth and finally g) non-communicable diseases risk reduction in adolescence and youth.

Keywords: youth,mental health,exposure matrix,cross sectional study,multicomponent intervention
“E-static Soft Sensors: A study on applying industrial manufacturing techniques to develop self-powered triboelectric textile sensors for high-accuracy activity recognition in smart homes” (E-static softSensors)

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: Finland
Call: MSCA Postdoctoral Fellowships 2022 (HORIZON-MSCA-2022-PF-01, 2022)
Start date: 2023-10-01
End date: 2026-09-30
Duration (months): 36.0
Total project cost (EUR): 215534.4
EU funding (EUR): 215534.4
Participants: 1
Project status: SIGNED

E-static soft sensors is an investigation into manufacturing self-powered triboelectric textile sensors with regular materials (for e.g. wool, polyester and conductive yarns) for high-accuracy activity recognition in smart home applications. Triboelectricity is generated when materials such as human skin and synthetic fabrics repeatedly rub together. This form of electricity is considered annoying or can even be dangerous. However, when handled safely it can provide unique insights into our everyday interactions with textiles and present an environmentally-friendly solution for sensing different kinds of activities for smart home applications, such as fall detection for elderly care, assistance in indoor navigation or sports tracking and game design. Recent advancements in textile-based triboelectric nano generators(tTENG) have highlighted the rich potential of using this energy for powering low-power devices. However, their sensing capabilities remain limited to a single repetitive movement. Additionally, the current work in tTENG present one-off prototypes and are not at a stage where they can be manufactured on a larger scale. With an aim to tackle these challenges, the project develops an approach for constructing high-performance self-powered triboelectric sensors without the need for specialised materials using industrial production techniques of weaving, tufting, and embroidery. These sensors will be evaluated and optimised for high accuracy self-powered activity and gesture recognition by applying advanced textile construction knowledge to optimise the structures and using AI models to fine tune the sensing analysis. Additionally, their tactile and interactive properties would be evaluated in order to improve their suitability and acceptance of embedding them in everyday use-contexts. The results of the project, including the patterns files for the sensors would be documented online and shared openly for supporting reuse, adaption or commercialisation.

Keywords: e textiles,wearable computing,triboelectricity,soft sensors,woven sensors,textile interactions
Brain mechanisms of conscious processing, from correlates to signatures (CONSCIOUSBRAIN)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Compl exity
Panel description: Cognitive science, psychology, linguistics
Countries involved: France
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2023-01-01
End date: 2027-12-31
Duration (months): 60.0
Total project cost (EUR): 1918515.0
EU funding (EUR): 1918515.0
Participants: 1
Project status: SIGNED

When we are awake, part of the information processed by our brain becomes conscious, so that we can acknowledge and report it. Despite important advances, there is no consensus on what brain mechanisms underlie this phenomenon. According to some models, we become conscious of a stimulus when information gets integrated across different sensory areas; for other, conscious processing only arises when sensory representations are made available to the executive system. With this project I explore a third possibility: that the core mechanisms of conscious processing can actually be distinguished both from sensory and executive processes. Such experimental dissection is made possible by two new approaches developed by my team. The first approach allows detecting brain dynamics that are characteristic of conscious processing, independently of whether a task is required on the stimulus or not, thus dissociating conscious processing from executive functions. The second builds upon the “retro-perception” phenomenon, in which we trigger conscious access at an arbitrary latency after the disappearance of a stimulus, thus desynchronizing conscious access from sensory processing. I will jointly leverage these two approaches, through a wide range of complementary techniques: experimental psychology, functional MRI, electro and magneto encephalography, and human intracranial recordings. Experimentation will go hand in hand with the development of a major update to current neuro-computational models of conscious processing, to explore the computational properties of such core system for conscious processing. Finally this research should reveal much longed-for neural signatures of conscious processing. I will aim at operationalizing these signatures for the diagnosis of conscious access in non-communicating patients, and for starting the exploration of how a conscious stream emerges from these moment-to-moment conscious access events.

Keywords: consciousness,perception,vision,audition,functional mri,electroencephalography,magnetoencephalography,human intracranial recordings,computational models,neural network models,disorders of consciousness,coma,sleep,anaesthesia
The Envola storage heat pump enables the world’s first highly energy-efficient heating, cooling and ventilation system significantly reducing energy consumption and greenhouse gas emissions in Europe. (Envola storage heat pump - a new product category)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Challenges
Action type: EIC actions
Countries involved: Germany
Call: EIC Accelerator Challenge: Technologies for ‘Fit for 55’ (HORIZON-EIC-2022-ACCELERATOR-01, 2022)
Start date: 2022-07-01
End date: 2024-12-31
Duration (months): 30.0
Total project cost (EUR): 3175250.0
EU funding (EUR): 2222675.0
Participants: 1
Project status: CLOSED

The heating and cooling of buildings is one main energy consumer in Europe. Especially residential heating is the main emitter of greenhouse gases and other air pollutants and air conditioning systems heavily contribute to urban overheating. Overall, currently the heating and cooling of buildings fosters climate change and causes negative effects on public health. To face this, and to make European buildings more efficient regarding heating and cooling, Envola found the technical solution to bring air conditioning and air heat pumps to the next level of high efficiency. With our Venticer HVAC system the energy consumption can be significantly reduced by >50% for cooling and >30% for heating compared to the best products available. The new Envola heat pump technology integrates the required ventilation system in the same heat pump process. Therefore, the investment cost for this new highly efficiency technology is significantly lower than state of the art systems in daily application.

Keywords: climatology and climate change,ecology,sustainable energy,renewable energies,low zero carbon communities,local sustainable energy supply,energy efficiency,smart cities,smart buildings
Amorphous topological matter: Predicting new phases with enhanced properties in a vast pool of amorphous materials (TOPOMORPH)

Framework: Horizon Europe — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Condensed Matter Physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: France,Spain
Call: ERC CONSOLIDATOR GRANTS (ERC-2021-COG, 2021)
Start date: 2022-09-01
End date: 2027-08-31
Duration (months): 60.0
Total project cost (EUR): 1918969.0
EU funding (EUR): 1918969.0
Participants: 2
Project status: SIGNED

Discovering new phases of matter in materials with superior properties is a central goal of condensed matter physics. Topological phases are a remarkable example: their robust and universal properties are key to groundbreaking technologies, notably robust quantum computation based on topological superconductors. However, our methodology to discover and classify topological materials relies heavily on crystal symmetry, thereby overlooking the largest, most affordable and scalable pool of materials - amorphous materials. Amorphous matter can outperform crystals, and is ubiquitous in technology: e.g. amorphous bismuth superconducts below 6K, a temperature 10,000 times larger than crystal bismuth, and amorphous silicon makes large-area solar cells affordable. This raises the fundamental question of whether we have overlooked new topological phases intrinsic to amorphous matter in materials with properties unparalleled by crystals. It is also unknown if any amorphous superconductor is topological. The core objective of this project is to harvest the superior properties of the vast pool of amorphous solids to find fundamentally distinct topological phases with high technological potential, via three specific goals: 1. Establish a predictive methodology to unlock the vast pool of amorphous matter to discover new topological materials. 2. Use this methodology to define unaccounted for amorphous topological phases with superior capabilities and no crystal analogues. 3. Use the above to predict the first amorphous topological superconductors. These goals will establish amorphous topological matter as a radically new direction to solve the challenge of finding novel platforms for topological superconductivity, where robust quantum computers can be based. This project will establish the necessary and currently absent theoretical background, guaranteeing a long-term impact on how we understand and discover new phases of matter with superior properties.

Keywords: topological insulators,topological metals,topological superconductivity,amorphous solids