Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Technology Enhanced Learning of Musical Instrument Performance (TELMI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Italy,Spain,United Kingdom,United Kingdom
Call: Technologies for better human learning and teaching (H2020-ICT-2015, 2015)
Start date: 2016-02-01
End date: 2019-01-31
Duration (months): 36.0
Total project cost (EUR): 2617425.0
EU funding (EUR): 2617425.0
Participants: 5
Project status: CLOSED

Learning to play a musical instrument is mostly based on the master-apprentice model in which the student’s interaction and socialization is often restricted to short and punctual contact with the teacher followed by long periods of self-study resulting in high abandonment rates. In such a learning model, modern technologies are rarely employed and almost never go beyond audio and video recording. The main aim of the TELMI project is to study how we learn musical instruments, taking the violin as a case study, from a pedagogical and scientific perspective and to create new interactive, assistive, self-learning, augmented-feedback, and social-aware systems complementary to traditional teaching. As a result of a tightly coupled interaction between technical and pedagogical partners, the project will attempt to answer questions such as “How will the musical instrument learning environments be in 5-10 years time?” and “What impact will these new musical environments have in instrument learning as a whole?” The general objectives of the TELMI project are: (1) to design and implement new interaction paradigms for music learning and training based on state-of-the-art multi-modal (audio, image, video and motion) technologies, (2) to evaluate from a pedagogical point of view the effectiveness of such new paradigms, (3) based on the evaluation results, to develop new multi-modal interactive music learning prototypes for student-teacher, student only, and collaborative learning scenarios, and (4) to create a publicly available reference database of multimodal recordings for online learning and social interaction among students. The results of the project will serve as a basis for the development of next generation music learning systems, thereby improving on current student-teacher interaction, student-only practice, and furthermore providing the potential to make music education and its benefits accessible to a substantially wider public.

Keywords: motion capture,music pedagogy,e learning,m learning,human kinematics,signal processing,artificial intelligence,sound and music computing,human computer interaction
Proteomics 4D: The proteome in context (PROTEOMICS4D)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Integrative Biology: from Genes and Genomes to Systems
Panel description: Genetics, epigenetics, genomics and other ‘omics studies, bioinformatics, systems biology, genetic diseases, gene editing, innovative methods and modelling, ‘omics for personalised medicine
Countries involved: Switzerland
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2015-09-01
End date: 2020-08-31
Duration (months): 60.0
Total project cost (EUR): 2208150.0
EU funding (EUR): 2208150.0
Participants: 1
Project status: CLOSED

Elements operating in the context of a system generate results that are different from the simple addition of the results of each element. This notion is one of the basic tenants of systems science. In systems biology/medicine complex (disease) phenotypes arise from multiple interacting factors, specifically proteins. Yet, the biochemical and mechanistic base of complex phenotypes remain elusive. An array of powerful genomic technologies including GWAS, WGS, transcriptomics, epigenetic analyses and proteomics have identified numerous factors that contribute to complex phenotypes. It can be expected that over the next few years, genetic factors contributing to specific complex phenotypes will be comprehensively identified, while their interactions will remain elusive. The project “Proteomics 4D: The proteome in context “explores the concept, that complex phenotypes arise from the perturbation of modules of interacting proteins and that these modules integrate seemingly independent genomic variants into a single biochemical response. We will develop and apply a generic technology to directly measure the composition, topology and structure of wild type and genetically perturbed protein modules and relate structural changes to their functional output. This will be achieved by a the integration of quantitative proteomic and phosphoproteomic technologies determining molecular phenotypes, and hybrid structural methods consisting of chemical cross-linking and mass spectrometry, cryoEM and computational data integration to probe structural perturbations. The project will focus initially on the structural and functional effects of cancer associated mutations in protein kinase modules and then generalize to study perturbed modules in any tissue and disease state. The resources supporting this technology will be disseminated to catalyze a broad transformation of biology and molecular medicine towards the analysis of the proteome as a modular entity, the proteome in context.

Keywords: genotype phenotype,genotypic variability,protein modules,structure function,kinase complexes
Unassisted photochemical water oxidation to solar hydrogen peroxide production (USHPP)

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: Chemistry
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-01-01
End date: 2023-01-18
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

The growing demand for clean energy, and serious nature of global warming are unquestionable. Moreover, the finite nature of fossil fuel reserves and the increasing pace of climate change mean that we must find and harness clean and sustainable energy sources. H2O2 can be one such energy source because it is one of the most potent fuels, generating more energy than any other fuel without generating any pollutant. Although the green hydrogen economy is projected as a solution to clean energy demand, it suffers from storage problems due to the low volumetric energy density in the gas phase. However, there is no storage issue associated with liquid form H2O2. Undoubtedly, the photochemical O2 reduction route has great potential for H2O2 production but the systematic requirements limit its commercialization. However, there is no photocatalyst reported so far, which oxidized the water to H2O2 without any assistance (without the use of a sacrificial agent, external bias, oxygen supply, etc.). This project USHPP (Unassisted photochemical water oxidation to solar hydrogen peroxide production) is designed to address all these problems by synthesizing a stable, shielded, and water oxidizing PC for commercially viable and eco-friendly H2O2 production route. Furthermore, the spontaneous reduction of H+ ions to H2 in conduction band in the proposed USHPP project will resolve the major problem of gases separation associated with photochemical H2 production in powder system (as there will be two separate phases: H2O2 in liquid (oxidative product), and H2 in the gas phase (reductive product)). Further, the success of this project also opens the possibility of simultaneous production of H2O2 via H2O oxidation at valence band, and O2 reduction at conduction band, which will increase the H2O2 production rate without utilizing any sacrificial agent. The best use of in-situ solar H2O2 production system in combination with biocatalysts will bring multidisciplinary aspect to USHPP.

Keywords: green energy,simultaneous h2o2 and h2 generation,neutron scattering in catalysis and materials analysis,surface treatment,hybrid photocatalyst,photocatalyst designing,photo biochemical process
Compact Cell-Imaging Device to provide insight into the cellular origins of diseases and to aid in the development of novel therapeutics (CoCID)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Germany,Spain,Spain,Ireland,Finland
Call: Disruptive photonics technologies (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 5686215.0
EU funding (EUR): 5686215.0
Participants: 7
Project status: SIGNED

The cost of influenza virus care in the EU was approx. €29 billion in 2018, or 2% of total healthcare costs. The costs to EU state governments for dealing with the Covid-19 virus could be 50 times that of influenza, effectively doubling normal healthcare costs. The EU needs to be better prepared to quickly develop vaccines and drugs to deal with future outbreaks but this can only be achieved with a full understanding of disease pathways. The central idea in project CoCID is that changes in the size and structure of cellular organelle, as any disease infiltrates a cell, are seen as early warning indicators of that disease. The only technology available today that can image through a whole cell, measuring organelle size and structure, is soft x-ray microscopy (SXM). The problem is that the illumination required for a soft x-ray microscope is currently only available at four football-stadium sized facilities, called synchrotrons, and only 2% of the disease research community have access. The challenge addressed by project CoCID is to make SXM available to the wider disease research and drug discovery community, while also showing how technology improvements enhance its ability to revolutionise cell structure imaging. SiriusXT’s breakthrough innovation is its ability to miniaturize the synchrotron into a small chamber that will easily fit on a laboratory bench, providing the same type of soft x-ray illumination as the synchrotron. This novel and patented innovation, based on a laser-produced plasma (LPP) design, will give researchers 24/7 access to this imaging modality in their own labs. To demonstrate impact, the scope of the project has been narrowed to focus only on diseases relating to viral and bacterial infection, allowing a consortium of leading virologists and imaging experts to collaborate in elucidating the cellular origins of viral infection in a range of applications while increasing the EU’s readiness for future viral pandemics.

Keywords: biophotonics,in vitro imaging,cell morphology,nanoct,tomography,microscopy,virology,disease research,drug research
SHocks: structure, AcceleRation, dissiPation (SHARP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Research and Innovation actions
Countries involved: Israel,Sweden,Finland,Netherlands,United States
Call: Scientific data exploitation (H2020-SPACE-2020, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 1467553.75
EU funding (EUR): 1467553.75
Participants: 5
Project status: SIGNED

SHARP aims to achieve a major leap in understanding of the structure of collisionless shocks in various environments and of the acceleration processes at all shock scales. This will be done by: (a) intensifying exploitation of the heliospheric data and performing a comprehensive comparative analysis of the Earth bow shock, planerary shocks, and interplanetary shocks, (b) establishing a collaboration of the world renown groups working together on all aspects of the shock physics, (c) utilizing and combining the knowledge obtained in in situ measurements on heliospheric shocks and in remote observations of distant astrophysical shocks, and (d) developing a high-level databases of shocks and advanced tools for the shock analysis and making them public. The research will encompass the three "pillars" of the shock physics: the shock structure, the shock energy deposition, and the radiation from the shock energized particles. The study will address the most fundamental unsolved issues of the shock physics: the structural changes of the shock with the increase of the Mach number, the intimate relation between the shock fields and the particle distributions, the injection problem, and the electron acceleration puzzle. The research will bridge over the in situ observed heliospheric shocks and supernovae remnant (SNR) shocks which are observed only indirectly, by emission from energized particles, by combining the knowledge of the heliospheric shock structure and constraints provided by the radiation measurements from SNR shocks. Starting with the observational data, the research will ultimately provide new diagnostic measures for the ongoing and future experiments, such that will allow to improve the efficiency of the measurements and data analysis, contribute to understanding of solar wind interaction with the Earth, and advance understanding of the most powerful accelerators in the Universe.

Keywords: collisionless shocks,charged particle acceleration,waves and instabilities
IRIS Feasibility Study – Phase 1 (IRIS-1)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: United Kingdom
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The IRIS Feasibility Study – Phase 1 (IRIS-1) Project aims to assess the overall feasibility of the introduction of the Intensive-care Risk prediction and Identification System (IRIS), an innovative real-time patient monitoring and personalised risk prediction and identification system, into the healthcare sector. Thousands of surgery patients in Europe and worldwide die each year due to complications during the post- operative period and thousands more survive with disabilities, making the economic burden of post-operative complications in surgery patients amount to hundreds of millions of euros annually. It is widely accepted that early recognition of complications can reduce their severity and consequences: continuous patient monitoring systems and risk scoring systems are available but they lack suitability for patients in intensive care, trust calculations at time intervals, analyse solely a fraction of available patient data, cannot detect multi-dimensional trends, rely on arbitrary thresholds to generate alarms and cannot be customised for each patient. Thus, there are increased mortality rates and re-admission rates to hospital, contributing to the overwhelming financial and economic burden of public healthcare. Addressing serious morbidities, such as heart, renal and respiratory failures, and capable of surpassing human limitations in processing large volumes of patient data, IRIS is a real-time adaptive and dynamic patient monitoring and risk prediction and identification system, sensitive to variable interactions and capable of incorporating patient data to identify trends in individual patients’ physiological parameters that predict post- operative complications. Developed by RINICARE, IRIS will assist clinical staff to identify at an early stage serious complications in surgery patients, allowing a prompt medical intervention, thus improving the chance of a successful health outcome and contributing to the sustainability of the healthcare system.

Keywords: healthcare,risk scoring,critical care units,post operative complications,patient monitoring,predictive risk score
Circuit-based deconstruction of Attention deficit and Hyperactive disorder with optogenetic Light control (ADHDLightUp)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Belgium
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-01
End date: 2018-09-30
Duration (months): 24.0
Total project cost (EUR): 172800.0
EU funding (EUR): 172800.0
Participants: 1
Project status: CLOSED

Attention-deficit/hyperactivity disorder (ADHD) like many other mental illnesses probably results from a combination of genetic and developmental factors pointing at abnormalities in brain monoamines (MA). Imaging studies in ADHD patients also indicate deficits in activity of various brain regions including the prefrontal cortex (PFC) and basal ganglia (BG). The mechanisms by which PFC and BG dysfunctions are triggered, and can be corrected with MA-based treatment are unknown. Although there is a consistent frontal hypoactivity detected in ADHD, some variations are seen amongst executive processes including attention or impulse control, in which MA have specific functions. Besides, the limited spatial resolution of brain imaging does not allow to detect certain subregions or discriminate neuronal subpopulations. In order to identify brain network impairments in ADHD, we need models to further dissect frontal dysfunctions looking at MA signaling, cell excitability and behavioral correlates of activity in identified neurons. The goal of this project is to untangle brain circuits involved in a novel mouse model of ADHD, which fulfills the major criteria reflecting human condition, showing specific BG dysfunctions and differential MA involvement. Innovative approaches have been chosen to accomplish this challenge that include transgenesis, opto- and pharmaco-genetics, and in vivo measurement of neuronal activity in translational behavioral tasks assessing attention and impulsivity. Importantly, while the most common medication using psychotimulants has proven the best efficiency, it has also been shown to affect children growth and their adult mental health highlighting the urge for alternatives. We believe that our model and multidisciplinary methodology provide new insights in ADHD ætiology and allow to develop new concepts and/or targets for therapeutic alternatives further based on the manipulation of neurons activity to reverse or attenuate ADHD symptoms.

Keywords: attention deficit,hyperactivity disorder adhd,impulsivity,monoamines,striatum,prefrontal,cortex,optogenetics
Wealth Acumination and Inequality in China and its Neighboring Emerging Countries: Trends, Drivers and Policy Implications (CHNIEQ)

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: Economic Sciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2020-08-31
Duration (months): 24.0
Total project cost (EUR): 173076.0
EU funding (EUR): 173076.0
Participants: 1
Project status: CLOSED

In the last four decades, China, has experienced exceptional economic growth; its share of global GDP has increased from less than 4% in 1978 to about 20% in 2015. This record growth has moved China from a relatively poor, underdeveloped country to the world’s leading emerging economy. However, due to the lack of national balance sheet data and individual income tax records, relatively little is known about the evolution of income and wealth distribution within China. We know little about how much different sectors or income classes have benefited from China’s growth, as well as the mechanisms driving the inequality trend. Combining national accounts, survey, wealth and fiscal data, this proposed research project aims to address this gaps in literature by: i) providing consistent series on the accumulation and distribution of income and wealth in China in both national and provincial level over the period of 1978-2015, and ii) investigate the potential mechanisms driving the inequality trend. In particular, I will carefully examine three important yet understudied channels which drive the inequality trends in China and its neighboring emerging countries since 1978, namely; privatization, the rising capital share in total income, and the openness of economies to trade and foreign direct investment. This research project follows the literature concerning the long-run evolution of the distribution of income and wealth. In order to be able to compare findings for China with existing inequality studies for other countries, I will build a harmonized framework following the Distributional National Accounts (DINA) guidelines for analyzing aggregated national wealth and inequality. Through four related studies, this proposed project will provide insights into a fundamental question - how can economic growth and inequality be reconciled? The answer for this question could then be used as a reference for any country searching for a better economic development model.

Keywords: income inequality,wealth accumulation,privatization,capital income,openness,inequality drivers