Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
No more stress about bicycle theft (Kissmybike)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-06-01
End date: 2018-10-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Rampant bike theft is a pressing global urban problem. 2 out of 3 Europeans either have been victims themselves, or have a victim in their family or close friends circle. There were 450,000 stolen bikes reported in the Netherlands in 2011, 340,000 in 2014 in Germany. In Italy, one of the biggest biking markets in EU ~320,000 bicycles are stolen every year. On average only 20% of thefts is reported to the police. We estimate that 4m+ bicycles are stolen in Europe every year, that means 1 every 7 minutes. Only 4-5% of bikes stolen get returned, making bike thievery is essentially a risk-free crime. Finding a stolen bike is difficult, evidence is scarce, and police is simply not going to allocate staff to such thefts. Discouraged by theft, up to 23% of victims never replace their bikes. Overall global economic damages of bike theft are ~€1.9bn annually. Kissmybike by KMB Lab is the 1st bike anti-theft solution that combines innovative proprietary tracking technology with digital owner fingerprinting & collection of forensic data needed by the police for the recovery & insurance companies for the pay-outs. Through tight collaboration with police & alignment with requirements of police on bike recovery, Kissmybike is the only solution that can increase the recovery rates at least 10x to 40-50%. With the total of 1.7m e-bikes sold in EU (and 1.1m produced) in 2016, we are aiming at a 15% share of all e-bikes sold in EU by 2023 (at least 250,000 e-bikes equipped with Kissmybike) with revenues of €25m+. We will commercialize Kissmybike to bike manufacturers & dealers, and will seek strategic partnerships with bike sharing/renting programs to achieve scale as quickly as possible. We have already demonstrated the technical feasibility of Kissmybike and established early market traction—with the Italian bike manufacturer Fantic Motor.

Keywords: anti theft,bicycle,tracking,bluetooth
Multi-Agent Systems for Pervasive Artificial Intelligence for assisting Humans in Modular Production Environments (MAS4AI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Italy,Spain,Spain,Germany,Spain,Spain,Germany,Greece,Poland,Lithuania,Greece,Lithuania,Netherlands,Netherlands
Call: Artificial intelligence for manufacturing (H2020-ICT-2020-1, 2020)
Start date: 2020-10-01
End date: 2023-09-30
Duration (months): 36.0
Total project cost (EUR): 5973078.75
EU funding (EUR): 5973078.75
Participants: 18
Project status: SIGNED

European industry has been very competitive on the global markets by utilizing highly efficient Artificial Intelligence (AI) tools and massively producing high quality products. The advent for mass customization has been stressing the capability of modularization and flexibility of production processes through the incorporation of AI technologies. However, the communication between the different automation systems has not been yet accomplished efficiently since they lack interoperability and are restricted to their own system of coordination. The MAS4AI proposal proposes a system that allows the deployment and synchronization of different AI agents in manufacturing for autonomous modular production and human assistance. The MAS4AI system will be heavily driven by large industrial cases and will aim towards digitalising European industry with AI tools according to the Industry 4.0 paradigm. MAS4AI will develop its overall ambition by the means of four Scientific and Technological objectives namely: a) Multi-Agents-System (MAS) for distributing AI components in different hierarchy layers, customers and suppliers for realising refurbishment activities, b) AI agents using Knowledge-based Representation with Semantic Web Technologies, c) AI Agents for hierarchical planning of production processes, d) model-based Machine Learning (ML) AI agent. MAS4AI research and technological activity will be strongly driven by a set of industrial use cases which will be then used as demonstrators. The demonstrators involve important industrial sectors of high value added for Europe, namely AI technologies used for automotive, contract manufacturing, bicycle industry, bearings production and wood processing industry.
A biophysical model for ESCRT-III mediated membrane scission (ESCRT model)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-04-01
End date: 2019-03-31
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

My project focuses on the characterization of the mechanism of action of ESCRT-III complex. ESCRTs are evolutionary conserved proteins which mediate membrane remodeling and scission in a variety of important cellular processes, and are implicated in the pathogenesis of many diseases, including virus release and nuclear membrane repair during cancer cell migration. Despite intense research, many outstanding questions still remain unanswered, and all model proposed remain highly speculative. Based on our preliminary data, we propose a novel, unifying model for ESCRT-III function. The aim of the project is to provide solid data to support this model by an in vitro reconstitution approach, which would constitute a major contribution in the field. The concrete aims of my project are: - Characterization of the minimal ESCRT-III fission machinery - Characterization of the molecular mechanism leading to membrane fission by ESCRT-III complex - Characterization of the membrane requirements to obtain fission by ESCRT-III, in particular membrane curvature

Keywords: escrt iii,membrane scission,cytokinesis,hiv budding,membrane repair,chmp,negative membrane curvature
Exploring the diet-microbiota axis for immunomodulation and organ protection in hypertension (HyperBiota)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Germany
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-02-01
End date: 2025-01-31
Duration (months): 60.0
Total project cost (EUR): 1497250.0
EU funding (EUR): 1497250.0
Participants: 1
Project status: SIGNED

Essential hypertension damages organs such as the kidney, thereby leading to premature death. Beyond elevated blood pressure, hypertension is characterized by a pro-inflammatory immune response ahead of measurable organ damage. Activated immune cells infiltrate the kidney to cause tissue injury. However, inflammation is insufficiently addressed by today’s drugs. Current treatments do not include the gut microbiota, its metabolites and the associated lymphoid tissue – the largest immune cell reservoir in the body. We have recently shown for the first time that variations in dietary salt intake promote hypertension by modulating the immune system via the microbiota and its metabolites. Thus, the diet-microbiota axis is an important modulator of the immune response in hypertension. HyperBiota envisions a personalized, microbiome-guided immunonutrition for anti-inflammatory immunomodulation and organ protection in hypertension. It will explore the interplay between diet-dependent microbial metabolism in the intestine and the immune system in hypertension. By using an interdisciplinary approach, HyperBiota aims to 1) decipher the reciprocity of dietary composition, microbial community structure and metabolism, and immune response in hypertension. The identification of critical dietary and microbial components will enable targeted interventions. 2) Particular attention will be payed to worsening kidney function and how this affects microbial ecology and immune cell homeostasis. 3) It will investigate the extent to which the gut-associated lymphoid tissue contributes to the immune response in hypertension and its responsiveness to targeted interventions. 4) Knowledge gained in model systems will be translated and verified in mice associated with human microbial communities. Taking this approach, HyperBiota will cross borders and take a systems view on inflammation in hypertension to enable microbiome-guided immunonutrition for organ protection in hypertension.

Keywords: hypertension,chronic kidney disease,immune system,microbiota,bacterial metabolites
Cutting edge microwave imaging device for safe and accurate breast cancer screening (MammoWave)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-10-01
End date: 2021-08-31
Duration (months): 35.0
Total project cost (EUR): 1990163.5
EU funding (EUR): 1393114.45
Participants: 1
Project status: CLOSED

Breast cancer (BC) is the most prevalent form of cancer in women. One in nine women will acquire BC at some point in their life and one in thirty will die from the disease . Most EU countries have adopted mass BC screening programmes as a way for detecting the disease early, using tools such as mammography machines. Mammography has been the medical industry’s “gold standard” breast cancer screening tool for nearly four decades. However, a number of adverse effects, backed up by mounting scientific evidence, are now limiting the use of mammography as a mass screening device. MammoWave is a revolutionary BC screening device for highly accurate cancer detection based on safe microwaves instead of ionizing radiation (X-rays). The excellent overall sensitivity (ongoing clinical trials show sensitivity above 90%), the simple method that requires no squishing of the breast, and the complete safety of the microwave imaging technique, make MammoWave primed for mass BC screening.

Keywords: breast cancer screening
In vivo Directed Evolution of Ribulose-1,5-Bisphosphate Carboxylase/Oxygenase in Saccharomyces cerevisiae Using an Orthogonal DNA Replication System (InVivoRuBisCO)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Belgium
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-12-01
End date: 2022-11-30
Duration (months): 24.0
Total project cost (EUR): 178320.0
EU funding (EUR): 178320.0
Participants: 1
Project status: CLOSED

Global warming can be greatly mitigated by replacing fossil fuels with renewable solar energy. In one approach, researchers have combined solar water splitting with bacteria capable of consuming atmospheric CO2 and solar derived hydrogen to produce solar fuels. All CO2 fixed by these bacteria must go through the enzyme Ribulose 1,5-Bisphosphate Carboxylase/Oxygenase (RuBisCO). RuBisCO is the arbiter of photosynthesis and is the primary conduit linking carbon into the biosphere. However, the enzyme suffers from slow reactivity and poor selectivity for its primary substrate (CO2), making it the rate-limiting step for solar fuel synthesis and cell growth. To create an efficient and effective solar fuels process, any participatory enzymes need to have sufficiently high turnover rates to match the input of solar energy. A substantial breakthrough in this regard would be to develop an improved RuBisCO with enhanced turnover rate and selectivity. To date, directed evolution of RuBisCO has been hindered by traditional laboratory evolution techniques with prokaryotic hosts and yielded only marginal improvements in enzyme activity. To overcome evolutionary slowness and host inefficacies, I propose the in vivo directed evolution of RuBisCO in eukaryotic S. cerevisiae. This work will be divided into three parts: 1.) Designing a host organism that is dependent on RuBisCO activity through specific gene additions and deletions 2.) Develop a continuous directed evolution experiment to increase CO2 fixation, fidelity, and catalytic rate by applying selective pressures; and 3.) Isolate, propagate, and assay the resultant mutants, and test practical applications. The results of this work will serve to dramatically increase bioethanol yields through CO2 re-uptake and help achieve the European Commission's goal of using 25% biofuels in the transportation sector by 2030. This fellowship will enable the necessary research to usher in a clean and renewable future.

Keywords: in vivo,continuous directed evolution of rubisco via error prone orthogonal dna replication
INformaTion pRocessing and the thErmodynamics of PrecIsion in quantum Devices (INTREPID)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-03-01
End date: 2024-02-29
Duration (months): 24.0
Total project cost (EUR): 162806.4
EU funding (EUR): 162806.4
Participants: 1
Project status: SIGNED

The aim of this proposal is to characterise the thermodynamic cost of precision in genuinely quantum thermal machines (externally driven, quantum-information fuelled and autonomous heat engines and refrigerators). Precision in a physical system is related to fluctuations of measurable quantities, an aspect that becomes very relevant at the nano-scale. Achieving a machine with a certain reliability (i.e. precision in the output) inevitably comes at a cost in terms of thermodynamic resources, such as dissipated heat or excess work, thus massively impacting the machines’ performances. Thermodynamic Uncertainty Relations have represented a landmark first step in understanding this balance and their generalisation is now encroaching upon the laws of quantum mechanics. Combining them at a fundamental level still represents an almost uncharted territory, which promises exciting practical applications in the correct design of next generation quantum technologies. In this project I will determine the most fundamental tradeoff between precision and dissipation in quantum thermal machines in a novel and timely way, by combining my expertise in quantum and stochastic thermodynamics and in thermodynamic geometry with the experience of my host, Prof. Jens Eisert, in quantum information and quantum many-body physics. In particular, this will be done through a two-fold effort: a theoretical framework based on analytical and numerical results; a groundbreaking (yet feasible in the given timeframe) experiment on quantum field machines, based on the AtomChip technology that is being developed within a large FQXI grant recently won by the host and by the secondment (Prof. Jörg Schmiedmayer). I will perform this Action in the perfectly suited environment of the “Quantum many-body theory, quantum information theory” group at Freie Universität Berlin.

Keywords: quantum thermodynamics,thermodynamics of precision,open quantum systems
Nonequilibrium dynamical mean-field theory: From models to materials (MODMAT)

Framework: Horizon 2020 — 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: Switzerland
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-05-01
End date: 2023-04-30
Duration (months): 72.0
Total project cost (EUR): 1854321.0
EU funding (EUR): 1854321.0
Participants: 1
Project status: CLOSED

Pump-probe techniques are a powerful experimental tool for the study of strongly correlated electron systems. The strategy is to drive a material out of its equilibrium state by a laser pulse, and to measure the subsequent dynamics on the intrinsic timescale of the electron, spin and lattice degrees of freedom. This allows to disentangle competing low-energy processes along the time axis and to gain new insights into correlation phenomena. Pump-probe experiments have also shown that external stimulation can induce novel transient states, which raises the exciting prospect of nonequilibrium control of material properties. The ab-initio simulation of correlated materials is challenging, and the prediction of a material's behavior under nonequilibrium conditions is an even more ambitious task. In the equilibrium context, a significant recent advance is the implementation of dynamical mean field theory (DMFT) schemes capable of treating dynamically screened interactions. These techniques have enabled the combination of the GW ab-initio method and DMFT in realistic contexts. Another recent development is the nonequilibrium extension of DMFT, which has been established as a flexible tool for the simulation of time-dependent phenomena in correlated lattice systems. The goal of this research project is to combine these two recently developed computational techniques into a GW and nonequilibrium DMFT based ab-initio framework capable of delivering quantitative and material-specific predictions of the nonequilibrium properties of correlated compounds. The new formalism will be used to study photoinduced phasetransitions, unconventional superconductors with driven phonons, and strongly correlated devices such as Mott insulating solar cells.

Keywords: nonequilibrium properties,dynamical mean field theory,computational physics
Harnessing reversibility of peptide Self-Assembly processes to Synchronise Extracellular Matrix substitutes with cellular driven tissue reconstruction (SynchroSelf)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: TERMINATED

Irreversible tissue loss is a common feature in a large spectrum of health conditions (e.g. aging, trauma, cancer, degenerative diseases, ischemia, etc), placing huge burdens in patient relatives and health care systems. Therapies aiming to restore tissue function will have a great impact in the health and quality of life of millions of people worldwide. Regenerative medicine is an interdisciplinary endeavour to create functional tissues and organs, where cell biology, biochemistry, chemistry and material sciences are central components to address human tissues complexity. The approach comprises the use of biomaterials that temporarily substitute the extracellular matrix (ECM). However, current engineered biomaterials have not fully matched the diverse functionality of native tissues. Thus, fundamental research in biomaterials for regenerative medicine has great potential to provide smart solutions to current bottlenecks in this scientific area. In this project, biomaterials based on peptide self-assembly will be designed to take advantage of reversible supramolecular interactions, in order to create self-healing ECM substitutes. The dynamic nature of these materials will be addressed systematically in an attempt to copycat ECM turnover. So far, efforts from the materials scientific community have been mainly focused on controlling spatial and geometrical features. Perhaps it is time to start addressing consistently time variable controls in biomaterials design, and to pave the way to fully synchronise the biology and man-made materials’ “watches”. We expect that SynchroSelf will generate a new class of dynamic biomaterials that will enable scientists to study wound healing processes in vitro with unprecedented level of complexity and experimental control.

Keywords: regenerative medicine,wound healing,stem cells
Enabling Weak lensing Cosmology (EWC)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Germany,Spain,Italy,France,Netherlands,United Kingdom,Portugal,United Kingdom
Call: Scientific data exploitation (H2020-COMPET-2017, 2017)
Start date: 2018-04-01
End date: 2022-03-31
Duration (months): 48.0
Total project cost (EUR): 1587154.04
EU funding (EUR): 1587153.75
Participants: 12
Project status: CLOSED

Our understanding of cosmology and fundamental physics continues to be challenged by ever more precise experiments. The resulting “standard” model of cosmology describes the data well, but is unable to explain the origin of the main constituents of our Universe, namely dark matter and dark energy. More than an order of magnitude improvement in the quality and quantity of observational data is needed. This has motivated ESA to select Euclid as the second mission of its cosmic vision program, with a scheduled launch in 2020. It is designed to accurately measure the alignments of distant galaxies due to the differential deflection of light-rays by intervening structures, a phenomenon called gravitational lensing. Euclid will measure this signal by imaging 1.5 billion galaxies with a resolution similar to that of the Hubble Space Telescope. Although Euclid is designed to minimize observational systematics the observations are still compromised by two factors. Various instrumental effects need to be corrected for, and the tremendous improvement in precision has to be matched with comparable advances in the modelling of astrophysical effects that affect the signal. The objective of this proposal is to make significant progress on both fronts. To do so, we will (i) quantify the morphology of galaxies using archival HST observations; (ii) carry out a unique narrow-band photometric redshift survey to obtain state-of-the-art constraints on the intrinsic alignments of galaxies that arise due to tidal interactions, and would otherwise contaminate the cosmological signal; (iii) integrate these results into the end-to-end simulation pipeline; (iv) perform a spectroscopic redshift survey to calibrate the photometric redshift technique. The Euclid Consortium has identified these as critical issues, which need to be addressed before launch, in order to maximise the science return of this exciting mission, and enable the dark energy science objectives of Europe.

Keywords: cosmology,dark energy,dark matter