Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Wearables and droneS fOr CIty Socio-Environmental Observations and BEhavioral ChangE (SOCIO-BEE)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: Innovation actions
Countries involved: Spain,Italy,Italy,Spain,Germany,Spain,Spain,Belgium,Belgium,Greece,Greece,Norway,Netherlands
Call: Enabling citizens to act on climate change, for sustainable development and environmental protection through education, citizen science, observation initiatives, and civic engagement (H2020-LC-GD-2020-3, 2020)
Start date: 2021-10-01
End date: 2024-09-30
Duration (months): 36.0
Total project cost (EUR): 5455801.66
EU funding (EUR): 4999858.91
Participants: 18
Project status: SIGNED

SOCIO-BEE proposes that community engagement and social innovation combined with Citizen Science (CS) through emerging technologies and playful interaction can bridge the gap between the capacity of communities to adopt more sustainable behaviours aligned with environmental policy objectives and between the citizen intentions and the real behaviour to act in favour of the environment (in this project, to reduce air pollution). Furthermore, community engagement can raise other citizens’ awareness of climate change and their own responses to it, through experimentation, better monitoring, and observation of the environment. This idea is emphasised in this project through the metaphor of bees’ behaviour (with queens, working and drone bees as main CS actors), interested stakeholders that aim at learning from results of CS evidence-based research (honey bears) and the Citizen Science hives as incubators of CS ideas and projects that will be tested in three different pilot sites (Ancona, Marousi and Ancona) and with different population: elderly people, everyday commuters and young adults, respectively. The SOCIO-BEE project ambitions the scalable activation of changes in citizens’ behaviour in support of pro-environment action groups, local sponsors, voluntary sector and policies in cities. This process will be carried out through low-cost technological innovations (CS enablers within the SOCIO BEE platform), together with the creation of proper instruments for institutions (Whitebook and toolkits with recommendations) that will contribute to the replication, upscaling, massive adoption and to the duration of the SOCIO-BEE project. The solution sustainability and maximum outreach will be ensured by proposing a set of public-private partnerships schemes and innovative targeted communication means to streamline exploitation and accessibility to the project impacts.

Keywords: air pollution,wearable sensors,drones,citizen science scallability,urban air pollution monitoring
Astrochemistry of old stars: direct probing of unique chemical laboratories (AEROSOL)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Belgium,United Kingdom
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2016-01-01
End date: 2021-12-31
Duration (months): 72.0
Total project cost (EUR): 2605897.0
EU funding (EUR): 1665998.1
Participants: 2
Project status: CLOSED

The gas and dust in the interstellar medium (ISM) drive the chemical evolution of galaxies, the formation of stars and planets, and the synthesis of complex prebiotic molecules. The prime birth places for this interstellar material are the winds of evolved (super)giant stars. These winds are unique chemical laboratories, in which a large variety of gas and dust species radially expand away from the star. Recent progress on the observations of these winds has been impressive thanks to Herschel and ALMA. The next challenge is to unravel the wealth of chemical information contained in these data. This is an ambitious task since (1) a plethora of physical and chemical processes interact in a complex way, (2) laboratory data to interpret these interactions are lacking, and (3) theoretical tools to analyse the data do not meet current needs. To boost the knowledge of the physics and chemistry characterizing these winds, I propose a world-leading multi-disciplinary project combining (1) high-quality data, (2) novel theoretical wind models, and (3) targeted laboratory experiments. The aim is to pinpoint the dominant chemical pathways, unravel the transition from gas-phase to dust species, elucidate the role of clumps on the overall wind structure, and study the reciprocal effect between various dynamical and chemical phenomena. Now is the right time for this ambitious project thanks to the availability of (1) high-quality multi-wavelength data, including ALMA and Herschel data of the PI, (2) supercomputers enabling a homogeneous analysis of the data using sophisticated theoretical wind models, and (3) novel laboratory equipment to measure the gas-phase reaction rates of key species. This project will have far-reaching impact on (1) the field of evolved stars, (2) the understanding of the chemical lifecycle of the ISM, (3) chemical studies of dynamically more complex systems, such as exoplanets, protostars, supernovae etc., and (4) it will guide new instrument development.

Keywords: astrochemistry,evolved stars,infrared submm observations,theoretical models,laboratory experiments
RObotics Digital Innovation Network (RODIN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Coordination and support actions
Countries involved: Germany,Serbia,Lithuania,Belgium,Netherlands,Denmark,United Kingdom
Call: Robotics - Digital Innovation Hubs (DIH) (H2020-DT-2018-1, 2018)
Start date: 2018-11-01
End date: 2023-10-31
Duration (months): 60.0
Total project cost (EUR): 1995880.0
EU funding (EUR): 1995880.0
Participants: 8
Project status: SIGNED

The overall aim of RODIN is to coordinate activities within the different PAA Innovation Actions and support them by increasing the efficiency and effectiveness of their activities, and improve their cross-PAA collaboration. Main objectives of the project are to: • Disseminate best practice in the operation of robotics DIH networks • Gather information from DIH networks on their composition, service offers, assets and infrastructure relevant to applying robotics in the PAA • Develop collaboration with and between the DIH networks, developing links to key stakeholders in robotics and technology • Deliver communication and outreach activities to external stakeholders and policy makers • Establish a resource to share information with DIH IAs • Assess the performance of DIH networks and provide feedback to the consortia to improve and enhance their operation • Coordinate access to, and development of, platforms, pilots and demonstrators • Enable industry-led standards development • Assess the access to finance for SMEs and the role DIH networks play in developing synergy between national, regional and European funding mechanisms • Develop means of extending the networks across Europe • Develop strategy around the future development of DIHs in robotics All objectives will be achieved by the proposed activities detailed in the work packages. RODIN also establishes and manages the Working Group that: • sets the basis for cooperation with the IAs • feeds back assessments of their performance and operation to the IAs • delivers best practice information to the IAs • develops models of sustainability for robotic DIH networks RODIN fully addresses the CSA called for under DT-ICT-02-2018 b): Robotics – Digital Innovation Hubs (DIH). It addresses the need to support and cooperate with the four Digital Innovation Hub networks under DT-ICT-01-2018 a) to coordinate activities and develop synergy between the four Priority Area DIH networks thereby creating a network of networks.

Keywords: digital innovation hubs,dih networks
Production, control and Demonstration of structured hybrid nanoporous materials for Industrial adsorption Applications (ProDIA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Efficient and sustainable synthesis and manufacturing of nanomaterials, components and systems
Action type: Innovation actions
Countries involved: Italy,Germany,Spain,Norway,Switzerland,Norway,France,France,France,United Kingdom,United Kingdom,United Kingdom
Call: Manufacturing and control of nanoporous materials (H2020-NMP-PILOTS-2015, 2015)
Start date: 2015-11-01
End date: 2018-10-31
Duration (months): 36.0
Total project cost (EUR): 7954580.35
EU funding (EUR): 7030831.5
Participants: 17
Project status: CLOSED

The recent 20 years have seen the discovery of new classes of nanoporous materials (NPM). It includes amorphous micro-mesoporous aluminosilicate type materials and more recently Metal-Organic Frameworks (MOF). Despite the great potential of this new class of materials, we cannot recognize industrial success yet at the level of initial expectations and business opportunities. The main reasons which limit the penetration of these materials on the market are that there is a very limited choice of materials available on the market with prices and shapes (powder) which are not compatible for a first demonstration. In this respect, the objectives of ProDIA are: - To develop production technologies and methods including shaping, for MOF and aluminosilicates, which are price competitive or at least in the same range as other state of the art porous solids such as advanced zeolites or carbons – 10-100 €/kg - To set-up production facilities in Europe for the production of a variety of NPM with chemical and mechanical stabilities and with safety requirements which allow them to be sold, distributed and used in the industry. The project will thus develop three innovative processes (water-based synthesis, mechanosynthesis, spray-drying) for cost-effective production of NPMs meeting industrial expectations with improved reliability and repeatability at pilot-scale. The industrial relevance of these NPMs will be demonstrated in four applications: gas storage, air purification, heat pump and health care. The consortium is composed of 5 RTO, 1 university and 1 association together with 6 industrial partners, including 2 SMEs and a spin-off being created; linking technology providers and academic partners with industrial end-users. The consortium has well-balanced skill sets to achieve its objectives. The financial resources mobilized by the 13 partners represent a total grant of 7 604 940 € with a global effort of 757 PM.

Keywords: metal organic framework,water synthesis,mechanosynthesis,spray drying,shaping,formulation,aluminosilicates,pilot scale,nanoporous,heat pump,air purification,gas storage,health care
Biorefinery combining HTL and FT to convert wet and solid organic, industrial wastes into 2nd generation biofuels with highest efficiency (Heat-To-Fuel)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Alternative fuels and mobile energy sources
Action type: Research and Innovation actions
Countries involved: Austria,Italy,Italy,Spain,Italy,Italy,Spain,Austria,Austria,Poland,Slovenia,France,France,United Kingdom
Call: Development of next generation biofuel technologies (H2020-LCE-2017-RES-CCS-RIA, 2017)
Start date: 2017-09-01
End date: 2022-04-30
Duration (months): 56.0
Total project cost (EUR): 5896987.5
EU funding (EUR): 5896987.5
Participants: 16
Project status: CLOSED

Heat-to-Fuel will deliver the next generation of biofuel production technologies towards the de-carbonisation of the transportation sector. Heat-to-fuel will achieve competitive prices for biofuel technologies (<1€/l) while delivering higher fuel qualities and significantly reduced life-cycle GHG reductions. Heat-to-fuel will result in increased Energy production savings (>20%) and enhanced EU’s energy security by the use of local feedstocks which in turn ensured local jobs are preserved and increased. The benefit of combining technologies like in Heat-to-Fuel is, that the drawbacks of the single technologies are balanced. FT and APR are promising technologies for the efficient production of 2nd generation fuels. But currently the economic border conditions don't allow the implementation, similar to many other biofuel technologies. The radical innovation of combining an APR with a FT reactor is the basis to overcome this barrier. The large organic wastes (from HTL or other streams) can be conveniently treated with APR to produce H2. Both dry and wet organic wastes can be integrated, with mutual advantages, i.e. steam production for gasification, HTL and APR preheating; FT heat cooling without external utilities. Using the synergies between these technologies maximizes the total process efficiency. Heat-to-fuel aims will be met thanks to the diversification of the feedstock for biofuels production, reducing the supply costs and upgrading the efficiencies of promising and flexible conversion.
Advanced THermomechanical mOdelling of Refractory linings (ATHOR)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Austria,Germany,Austria,Germany,Poland,Sweden,France,France,France,Netherlands,Portugal,Canada
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2017-10-01
End date: 2022-03-31
Duration (months): 54.0
Total project cost (EUR): 3737239.56
EU funding (EUR): 3737239.5599999996
Participants: 14
Project status: CLOSED

Refractories are heat-resistant materials used as inner linings of high temperature furnaces, reactors and processing units. ATHOR (Advanced THermomechanical multiscale mOdelling of Refractory linings) is an innovative, collaborative and interdisciplinary project that brings together 6 academic beneficiaries and 8 private partners. The main objective is to develop high-end engineering technologies in material engineering and numerical simulations thanks to an intensive cooperation between academia, raw materials suppliers, refractory producers and end-users. Starting from material characterization, all significant properties will be investigated, including fracture behaviour, tension and compression creep behaviour, corrosion and thermal shock resistance. The interdisciplinary aspects will be addressed thanks to a multiscale approach looking at the influences of micro-, meso- and macro-characteristics on each other. To conduct their research and interlink the different topics, the 15 recruited researchers will take advantage of the most sophisticated numerical tools to model, design and predict the life of different lining configurations in critical operation conditions. The current financial situation of the European steel industry urges the producers to dramatically reduce their production costs. This project is expected to substantially contribute to find solutions through the design of more robust and more reliable refractory linings. Not only the total cost of refractory materials is then reduced, but the equipment’s availability and the process control are improved. In addition to the large energy savings that meet the industrial partner’s interests, the project will help to reduce the environmental impact of high temperature processes. The ATHOR network is deeply committed to provide a combination of research and training activities which will support and enlarge the initiative of the Federation for International Refractory Research and Education (FIRE).

Keywords: refractory and steelmaking industry,material characterization,thermo mechanical properties,refractory materials modelling applied at high temperature,steel ladle,training,job creation
Monitoring changes in brain states using dynamical causal networks (DynamicBrainStates)

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: Netherlands
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Duration (months): 24.0
Total project cost (EUR): 177598.8
EU funding (EUR): 177598.8
Participants: 1
Project status: CLOSED

I propose a new model and estimation method that will allow Neuroscientists to detect, track, and predict temporal changes in dynamical brain networks non-invasively. These changes underpin shifts in brain (cognitive) states which are currently inaccessible using standard Neuroimaging techniques. The method combines recent advances in dynamical systems theory and Bayesian inference to integrate Electroencephalography (EEG) and Diffusion Weighted Magnetic Resonance Imaging (DWMRI) data in an efficient way. I will provide a proof of concept that the method can be used as a tool for early diagnosis of brain dysfunction. Given the current emphasis on reducing the social and economic impact of neurodegeneration and aging across the EU, I focus on using Transcranial Magnetic Stimulation (TMS) to induce small changes in two exemplars of distributed networks that simulate semantic and motor neurodegeneration as a demonstration of what this method can detect. The proposed approach has the potential to change strategies for screening and early diagnosis of neurodegenerative conditions. It will lead to new clinical applications that will significantly impact the study of the aging brain and mental health, as well as the analysis of a wide variety of normal brain function, such as social behaviour, decision-making, or resting-state.

Keywords: dynamic brain networks,effective connectivity,anatomical connectivity
Discovering microbiome-based disease risk factors (BiomeRiskFactors)

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: Israel
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2019-03-01
End date: 2024-08-31
Duration (months): 66.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

Identifying risk factors for diseases that can be prevented or delayed by early intervention is of major importance, and numerous genetic, lifestyle, anthropometric and clinical risk factors were found for many different diseases. Another source of potentially pertinent disease risk factors is the human microbiome - the collective genome of trillions of bacteria, viruses, fungi, and parasites that reside in the human gut. However, very few microbiome disease markers were found to date. Here, we aim to develop risk prediction tools based on the human microbiome that predict the likelihood of an individual to develop a particular condition or disease within 5-10 years. We will use a cohort of >2200 individuals that my group previously assembled, for whom we have clinical profiles, gut microbiome data, and banked blood and stool samples. We will invite people 5-10 years after their initial recruitment time, profile disease status and blood markers, and develop algorithms for predicting 5-10 year onset of Type 2 diabetes, cardiovascular disease, and obesity, using microbiome data from recruitment time. To increase the likelihood of finding microbiome markers predictive of disease onset, we will develop novel experimental and computational methods for in-depth characterization of microbial gene function, the metabolites produced by the microbiome, the underexplored fungal microbiome members, and the interactions between the gut microbiota and the host adaptive immune system. We will then apply these methods to >2200 banked samples from cohort recruitment time and use the resulting data in devising our microbiome-based risk prediction tools. In themselves, these novel assays and their application to >2200 samples should greatly advance the microbiome field. If successful, our proposal will identify new disease risk factors and risk prediction tools based on the microbiome, paving the way towards using the microbiome in early disease detection and prevention.

Keywords: human gut microbiome,metagenomics,metahit,human microbiome project,american gut,human gut bacteria,massively parallel reporter assays
Recursive and Exact New Quantum Theory (ReNewQuantum)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Switzerland,France,France,Denmark,Denmark
Call: ERC Synergy Grant (ERC-2018-SyG, 2018)
Start date: 2019-09-01
End date: 2025-08-31
Duration (months): 72.0
Total project cost (EUR): 9815468.0
EU funding (EUR): 9815468.0
Participants: 5
Project status: SIGNED

The overarching goal of ReNewQuantum is to renew the mathematical foundation behind quantum phenomena. We aim to construct a recursive and exact new approach to quantum theory. Quantum theory is one of the pillars of modern science. Its success stretches from elementary quantum mechanical models, developed a century ago by quantization of classical mechanics, to advanced quantum field theories such as the standard model of particle physics, which is the quantization of a gauge theory. However, a precise and universal mathematical formulation of the quantization procedure is still lacking. In addition, there are very few analytic methods in Quantum Mechanics and in Quantum Field Theory. They are typically based on approximation schemes which often lead to quantitative and even qualitative failures in our descriptions. In response to these shortcomings, the main objective of ReNewQuantum is to construct a completely new mathematical approach to quantization and to quantum systems. This quantum theory will provide: - a global, explicit and recursive description of the series of quantum corrections, - access to exact quantum regimes beyond perturbation theory, - a well founded mathematical theory underlying the quantization procedure, based on geometric structures, and applicable to quantum field theory and string theory. ReNewQuantum will take the lead among the world scientific community in building this new theory of quantum physics. The researchers behind ReNewQuantum have already made important contributions along these directions. The construction of a recursive and exact new approach to quantum theory with the stated properties will only be possible through their joint synergetic effort and a combination of their deep mathematical and physical expertises, including geometry, topology and the mathematical theory of quantization (Andersen, Kontsevich), and quantum mechanics, quantum field theory, random matrix theory and string theory (Eynard, Mariño).

Keywords: topological recursion,mirror symmetry,resurgence,deformation quantization,fukaya category,geometric recursion,quantum chern simons theory,tqft,string theory,moduli space theory