Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Foundations of nonlocal and nonabelian condensed-matter systems (NONLOCAL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Sweden,Denmark
Call: ERC Synergy Grant (ERC-2019-SyG, 2019)
Start date: 2020-11-01
End date: 2026-10-31
Duration (months): 72.0
Total project cost (EUR): 9975273.0
EU funding (EUR): 9975273.0
Participants: 2
Project status: SIGNED

Emergent particles with nonabelian exchange statistics are a key element in the understanding of topological condensed matter system. However, the nonabelian nature has never been demonstrated experimentally, nor has the intimately connected nonlocality of quantum states been observed in any physical system. With this proposal, we outline a research program whose goal is to design and carry out experiments, with close theoretical coupling, that can – for the first time – verify or falsify the existence of these fascinating novel degrees of freedom and then, if observed, quantify the spatial and temporal limits for the nonabelian and nonlocal properties. The platform for the research is based on topological superconductivity in hybrid materials, a field in which the applicants have played a leading role. We put together a team of experimental and theoretical physicists in a strongly collaborative setup. The focus of the proposal is Majorana bound states, which exist at the boundaries of topological superconductors. Experiments have over the past five years shown observations consistent with their existence. All these experiments are based on local probes which cannot reveal the inner nature of their nonlocal and nonabelian properties. To address the fundamental aspects of nonlocality, we will design quantum devices that combine topological superconductors with known condensed matter quantum technologies, including quantum dots, two-dimensional electron gases, and fast measurement techniques. The nonabelian nature will be explored by design of multi-Majorana devices and of protocols that can reveal the nonabelian nature of braids in the space of topologically-protected groundstate manifolds. The gained knowledge will provide a breakthrough in the fundamentals of emergent degrees of freedom and quantum states encoded in topological macroscopic systems. Their possibly profound character might have future applications in quantum technologies.

Keywords: majorana fermions,nonabelian particles,topological states,anyons,semiconductorsuperconductor hybrids,heterostructures
Efficient Urban LIght VEhicles (EU-LIVE)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Partnership: EGVI (cPPP)
Countries involved: Germany,Spain,Austria,Germany,Italy,Germany,Austria,Slovenia,France,France,France,France
Call: Electric two-wheelers and new ultra-light vehicle concepts (H2020-GV-2014, 2014)
Start date: 2015-06-01
End date: 2018-05-31
Duration (months): 36.0
Total project cost (EUR): 6713338.75
EU funding (EUR): 6713338.75
Participants: 15
Project status: CLOSED

EU-LIVE will provide a comprehensive European solution for the next generation of electrified, cost- and energy-efficient light urban vehicles to cope with the challenges of future personal urban mobility, based on both user needs and acceptance. EU-LIVE will establish the "EU-LIVE modular platform", a systematic approach for efficiently designing, developing and building a wide range of L-category vehicles from more close-to-the-market to radically new ones. This comprises a set of modular electrified powertrain components and subsystems for PHEVs and BEVs, modular bodies (within the same L-vehicle class), and an integrated modular co-simulation platform to guarantee re-usability, flexibility and sharing of components as well as subsystems for L-category vehicles. EU-LIVE will provide innovative solutions regarding cost-efficient, energy-efficient, low-emission and low-noise powertrains (in-wheel motors, novel highly efficient transmission for PHEV, 48V batteries + electric board net …) and future-proof, flexible and scalable vehicle architectures. To leverage expertise beyond the consortium, an open innovation contest for a radically new light vehicle based on the EU-LIVE modular platform will be carried out. Eventually, both real and virtual full-vehicle demonstrators (L5e PHEV 3-wheeler beyond EURO 5, L3e BEV 2-wheeler, L6 BEV 4-wheeler) will be shown. By its modular approach and the efficient transfer of expertise from high-volume automotive to low-to-medium-volume light vehicle industry, EU-LIVE will enable economies of scale, therefore overcoming a major barrier to affordable light urban vehicles. Through its excellent partner consortium - including 2 OEMs and several key suppliers - EU-LIVE is able to credibly provide a clear route to market for a range of different L-category vehicles which feature series producibility, attractive cost-of-ownership, full comfort, safety and connectivity, for both European and non-European markets.

Keywords: light vehicle,urban mobility,modular platform,economies of scale,energy efficiency,cost efficiency,hybrid,phev,electrified powertrain,carryover parts,open innovation
The Developmental Origins of Health: Biology, Shocks, Investments, and Policies (DEVORHBIOSHIP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: United Kingdom,United Kingdom
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-04-01
End date: 2024-03-31
Duration (months): 60.0
Total project cost (EUR): 1738763.0
EU funding (EUR): 1713798.0
Participants: 2
Project status: SIGNED

What are the origins of inequalities in health? A recent literature in economics has established causal impacts of early life shocks, investments and policies on lifelong health. However, several unknowns remain. The mechanisms through which shocks, investments, and policies interact are just beginning to be understood. Our knowledge of sensitive periods is imprecise. Little is also known about the impact of shocks and policies across different ages. Commonly used health capital measures, such as birth weight, lack sensitivity and specificity. The interplay between genes and environments in the formation of health inequalities is poorly understood. To fill these gaps, I will build on insights from my earlier work, and use a combination of high-quality data, more sensitive measures, robust identification strategies and richer models to untangle the complex interactions between biology, shocks, investments and policies. First, I will investigate causal impacts and mechanisms of two public health policies on child health and development: medical treatments for pregnancy complications and prenatal home visiting programmes. Second, I will examine the effects of two environmental shocks (pollution and influenza) on the formation of early health and human capital, and their interplay with maternal investments in nutrition. Third, I will study interactions between shocks, investments and policies from birth to adulthood, to understand the dynamic interplay between SES and health. Throughout, I will explore their interactions with genetic susceptibility or potential. I will analyse administrative records, registries linked to survey data, cohort data with biomarkers; and a randomized controlled trial. I will use state-of-the-art econometric techniques for observational and experimental data. My findings will have direct policy implications and will help understand whether and to which extent early life interventions are a cost-effective mean to promote health.

Keywords: health production,early childhood development,human capital accumulation,early intervention,biology and economics,gene environment interactions
Novel in-build filters for washing machines to stop microfibres pollution (Fibrestop)

Framework: Horizon 2020 — Societal Challenges
Action type: SME instrument
Countries involved: Slovenia
Call: H2020-EIC Accelerator pilot –SME Instrument - Green Deal (H2020-EIC-SMEInst-2018-2020-4, 2020)
Start date: 2020-11-01
End date: 2023-04-30
Duration (months): 30.0
Total project cost (EUR): 2267500.0
EU funding (EUR): 1587250.0
Participants: 1
Project status: CLOSED

Microplastics are small (< 5mm) plastic particles which constitute a large part of plastic pollution. Although less visible to the eye, microplastics have been found to be dispersed in all environmental compartments and have a great ability to enter, influence and endanger natural food webs. The Environmental Investigation Agency estimated that a total of 51 trillion microplastic particles have accumulated in the ocean, with up to 219,000 tonnes of microplastics entering the sea from Europe each year. Microplastic pollution caused by washing processes of synthetic textiles has recently been assessed as the main source of primary microplastics in the oceans. Standard washing machines do not include a microfiber filter and an effective solution to reduce fibre emissions is not available on the market. PlanetCare has developed Fibrestop, the first built-in microfiber filter for washing machines. The device consists of a durable housing, a replaceable cartridge and an internal filter. Filtering is based on physical capture of fibres and no chemicals are used at any stage of the process. The cartridges can be returned to PlanetCare for recycling, ensuring a completely closed loop system and a circular business model. Having a retention rate verified by third parties testing, Fibrestop has to possibility to nullify the microplastic pollution derived from washes, generating tangible benefits for the environment and the people. The EIC funding will enable PlanetCare to optimize the Fibrestop and to perform all the validation activities necessary to obtain CE Mark and start commercialization in Europe.

Keywords: microfibers,microplastics,filters,washing machines,pollution,recycling
All-Optical Dissection of Hippocampal Circuits Using Voltage Imaging (AllOptHIPP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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
Countries involved: Israel
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2020-12-01
End date: 2025-11-30
Duration (months): 60.0
Total project cost (EUR): 1486797.0
EU funding (EUR): 1486797.0
Participants: 1
Project status: SIGNED

The hippocampus is critical for the storage of episodic memories and has been extensively studied on its role in spatial memory. The hippocampus is also a central model for in vitro studies on the molecular, cellular and microcircuit basis for learning and memory. I propose to use a new technology that I developed to record and manipulate the membrane potential of multiple neurons, simultaneously, in behaving animals to reveal the mechanisms by which hippocampal circuits process spatial information. This research will bridge the gap between the in vitro mechanistic studies and the in vivo efforts to describe the spatial representations. I first propose to employ the voltage imaging technology for detailed mechanistic studies of the function and plasticity of hippocampal microcircuits during place cell formation (Objective 1). To this end, we will combine voltage imaging with Optogenetics in head-fixed mice performing virtual navigation in familiar and novel environments. To expand to a ‘systems’ view on hippocampal plasticity, we will next establish a method for optical selection of single neurons based on their functional profile (Objective 2). We will use this technology to trace the long-range projections and the pre- and postsynaptic landscape of photo-selected CA1 neurons. In the last objective, we will combine both technologies to dissect the contribution of different entorhinal cell types (i.e. grid cells, border cells, and speed cells) to place cell formation in CA1 (objective 3). To this end, we will image the entorhinal cortex and photo-select cells based on their functional profiles. We will then image CA1 while manipulating the activity of the selected entorhinal cells. Our work will provide new discoveries on the mechanistic basis for spatial memory and will comprise a first step towards broader understanding of how the brain stores and retrieves episodic memories.

Keywords: spatial memory,voltage imaging,optogenetics
Human-AI Teaming Platform for Maintaining and Evolving AI Systems in Manufacturing (TEAMING.AI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Ireland,Spain,Austria,Spain,Spain,Italy,Austria,Türkiye,Türkiye,Belgium,Greece
Call: Artificial intelligence for manufacturing (H2020-ICT-2020-1, 2020)
Start date: 2021-01-01
End date: 2024-06-30
Duration (months): 42.0
Total project cost (EUR): 5721853.75
EU funding (EUR): 5721853.75
Participants: 16
Project status: SIGNED

Smart Manufacturing is believed to play a critical role in maintaining the competitiveness of organisations, by supporting them at different levels such as process optimisation, resource efficiency, predictive maintenance and quality control. Nevertheless, AI technologies which are currently and rapidly penetrating industrial sectors at those levels remain essentially narrow AI systems. This is due to the lack of self-adaptiveness in the AIs capability to assimilate and interpret new information outside of its predefined programmed parameters. This mean that AI systems are tailored for solving specific tasks on a specific predefined setting and changes in the underlying setting usually requires system adaption ranging from fine-grained parameter adaptations to fully-fledged re-design and re-development of AI systems. TEAMING_AI project aims at a human AI teaming framework that integrates the strengths of both, the flexibility of human intelligence and scale-up capability of machine intelligence. Human AI teaming is equally motivated to meet the increased need for flexibility in the maintenance and further evolution of AI systems, driven by the increasing personalization of products and service, as well as tackling the barriers of user acceptance and ethical challenges involved in the collaborative environments where artificial intelligence will be used, in order AI can be considered as “teammate” rather than as a threat. The TEAMING.AI project will be run over 36 months with a work plan divided into 9 Work Packages. Work Packages from 1 to 5 are devoted to the development of new technology to enhance the interaction between human and machine. Furthermore, Work Packages 6 and 7 wrap the development of 3 use case scenarios. Finally, two final Work Packages (8 and 9) will work respectively on the dissemination, exploitation of results and coordination of the project in a transversally way to the above mentioned WPs.
TrueTalent - Creating the new artist economy (TrueTalent)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: SME instrument
Countries involved: Denmark
Call: New business models for inclusive, innovative and reflective societies (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-03-01
End date: 2018-11-30
Duration (months): 9.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

TrueLinked is a Danish start-up with an innovative business model to disrupt the classical music and opera industry through the use of new technologies to bring more transparency and efficiency to the planning and programming of live performances. Our online platform offers 900+ arts organisations (opera companies, orchestras and music festivals) unique online tools to access new talent (500,000 performing artists) and save 60-70% of resources for casting processes allowing a better use of artistic budgets and more available funds for new productions. Artists will increase job opportunities by maximizing their talent, repertoire and availability. Also their income will grow through the reduction of booking fees from 10-20% to 6%. The decrease public funding for the cultural sector and the increase of freelance contracts for artists are challenges that arts organisations and artists are facing at global/ EU level. The expected outcome of our feasibility study is a new algorithm for peer review to make the artistic quality assessments data-driven and remove bias from evaluations. It is currently a challenge to use data to judge the artistic quality of artists, as this normally done by humans. For 2020 the projections are 132,000 artists and 1,100 arts organisations on our online platforms with booking values estimated at €1.3bn generating €67 in revenues. This will allow TrueLinked to secure a share of global and European booking market. Future risks concern peer reviews being statistically insignificant or peer reviews detracting artists from TrueLinked. The feasibility study will result in a fairer and more up-to-date recommendation score for each artist giving arts organisations direct insights into the strengths and weaknesses of artist. The testing of the peer review algorithm, adjustments of our business model and financing resources will be part of it. For Phase 2 the goal is to increase the use of unstructured data (text, video and audio).

Keywords: disruptive,collaborative economy,empowerment,mobility,job opportunities,enabler,artists,arts organisations,public authorities,better remuneration,digital technologies,classical music market
Development of Molecular-defined Non-noble Metal Complexes and Nano-structured Materials for Sustainable Redox Reactions Development of Molecular-defined Non-noble Metal Complexes and Nano-structured (NoNaCat)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2015-12-01
End date: 2021-11-30
Duration (months): 72.0
Total project cost (EUR): 2499375.0
EU funding (EUR): 2499375.0
Participants: 1
Project status: CLOSED

The major objective of this proposal is the development of new active and selective catalysts based on earth abundant metals (e.g. Fe, Mn, Co, Cu). These catalysts will be used for improved synthetic transformations which are of interest for organic chemistry in general and which are also of significant practical value for the chemical and life science industries. Traditional catalysts based on non-noble metals are not efficient for hydrogenation and dehydrogenation processes under mild conditions. However, by creating a suitable microenvironment with M-N interactions they are becoming active and selective. According to our concept the suitable surrounding will be created either by using nitrogen-containing pincer ligands or nitrogen-doped graphenes. Consequently, a variety of both molecular-defined homogeneous catalysts as well as nano-structured heterogeneous materials will be prepared, characterized and tested in various catalytic applications. More specifically, the following redox transformations will be investigated: Hydrogenation and transfer hydrogenation of carboxylic acids, esters, and nitriles; hydrogenation of amides and peptides; hydrogenation of carbon dioxide and selective oxidative coupling of alcohols to esters, amides, and nitriles. Furthermore, “waste-free” carbon-carbon bond forming reactions such as alkylations with alcohols and domino-synthesis of heterocycles from alcohols will be exploited. Finally, homogeneous and heterogeneous catalysts from earth abundant metals will be used in industrially relevant oxidative carbonylation reactions. With respect to methodology this proposal combines homogeneous with heterogeneous catalysis, which will result in new ideas for both fields.

Keywords: hydrogenation,dehydrogenation,carboxylic acid derivatives,amides,pincer complex,earth abundant metals,iron,fine chemicals,bulk chemicals
Breaking the Nonuniqueness Barrier in Electromagnetic Neuroimaging (BREAKBEN)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Germany,Finland,Sweden
Call: FET-Open research projects (H2020-FETOPEN-2014-2015-RIA, 2015)
Start date: 2016-01-01
End date: 2019-05-31
Duration (months): 41.0
Total project cost (EUR): 3998793.0
EU funding (EUR): 3998793.0
Participants: 8
Project status: CLOSED

By combining accurate magnetic measurements of neural activity with near-simultaneous high-definition measurements of cerebral structure – provided by novel methods in ultra-low-field magnetic resonance imaging (ULF MRI ) – we will be able to image the dynamics of human brain function at unprecedented resolution and reliability. BREAKBEN will achieve a revolution in neuroimaging; we aim at breaking the barrier for measurement of neuronal currents by ULF MRI (neural current imaging; NCI) as well as breaking the nonuniqueness barrier for magnetoencephalography (MEG) by combining it with ULF MRI and accurately presented a priori information. A key aspect in utilizing the a priori information is injected current density imaging (CDI), which will inform us about the individual conductivity structure of the head. Using novel verification and validation approaches, we will demonstrate the unique advantages of these multimodal techniques. These breakthroughs will result in completely different workflows in brain imaging, also suitable for clinical use. We believe that we are at the edge of a qualitative technology jump with ULF MRI, its applications and combinations. This will lead to a wealth of new applications and revolutionize the way we do magnetism-based measurements of the nervous system. Europe has the unique chance to lead this revolution.

Keywords: brain imaging,magnetoencephalography,magnetic resonance imaging,inverse problem,neuronal current imaging,multimodal,meg mri,clinical,diagnostics