Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
ENABLing cryogEnic Hydrogen based CO2 free air transport (ENABLEH2) (ENABLEH2)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Belgium,Sweden,France,United Kingdom,United Kingdom,United Kingdom
Call: Breakthrough innovation (H2020-MG-2017-Two-Stages, 2017)
Start date: 2018-09-01
End date: 2022-11-30
Duration (months): 51.0
Total project cost (EUR): 3987680.75
EU funding (EUR): 3987680.75
Participants: 9
Project status: CLOSED

Flightpath 2050 very ambitiously targets 75% CO2 and 90% NOx emissions reductions, relative to year 2000. It is highly unlikely that these targets will be met with carbon containing fuels, despite large research efforts on advanced, and in many cases disruptive, airframe and propulsion technologies, even when coupled with improved asset and life cycle management procedures. Liquid hydrogen (LH2) has long been seen as a technically feasible fuel for a fully sustainable aviation future yet its use is still subject to widespread scepticism. ENABLEH2 will mature critical technologies for LH2 based propulsion to achieve zero mission-level CO2 and ultra-low NOx emissions, with long term safety and sustainability. ENABLEH2 will tackle key challenges i.e. safety, infrastructure development, economic sustainability, community acceptance, and explore key opportunities through improved combustor design and fuel system heat management, to further minimize NOx emissions, improve energy efficiency and reduce the required volumes of LH2. The project will include experimental and analytical work for two key enabling technologies: H2 micromix combustion and fuel system heat management. These technologies will be evaluated and analysed for competing aircraft scenarios; an advanced tube and wing, and a blended wing body / hybrid wing body aircraft, both featuring distributed turbo-electric propulsion systems and boundary layer ingestion. The study will include mission energy efficiency and life cycle CO2 and economic studies of the technologies under various fuel price and emissions taxation scenarios. ENABLEH2 will deliver a comprehensive safety audit characterising and mitigating hazards in order to support integration and acceptance of LH2. Solutions will be proposed for any socioeconomic hurdles to further development of the technologies. A roadmap to develop the key enabling technologies and the integrated aircraft and propulsion systems to TRL 6 by 2030-2035 will be provided.

Keywords: civil aviation,tackling key challenges safety,economic viability,infrastructure,industry and public perception exploiting key opportunities fuel system heat management and micromix combustion
Reticulate evolution: patterns and impacts of non-vertical inheritance in eukaryotic genomes. (RETVOLUTION)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: Spain
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2018-01-01
End date: 2024-06-30
Duration (months): 78.0
Total project cost (EUR): 1986178.0
EU funding (EUR): 844508.31
Participants: 3
Project status: SIGNED

The traditional view is that species and their genomes evolve only by vertical descent, leading to evolutionary histories that can be represented by bifurcating lineages. However, modern evolutionary thinking recognizes processes of reticulate evolution, such as horizontal gene transfer or hybridization, which involve total or partial merging of genetic material from two diverged species. Today it is widely recognized that such events are rampant in prokaryotes, but a relevant role in eukaryotes has only recently been acknowledged. Unprecedented genomic and phylogenetic information, and recent work from others and us have shown that reticulate evolution in eukaryotes is more common and have more complex outcomes than previously thought. However, we still have a very limited understanding of what are the impacts at the genomic and evolutionary levels. To address this, I propose to combine innovative computational and experimental approaches. The first goal is to infer patterns of reticulate evolution across the eukaryotic tree, and relate this to current biological knowledge. The second goal is to trace the genomic aftermath of inter-species hybridization at the i) long-term, by analysing available genomes in selected eukaryotic taxa, ii) mid-term, by sequencing lineages of natural fungal hybrids, and iii) short-term, by using re-sequencing and experimental evolution in yeast. A particular focus is placed on elucidating the role of hybridization in the origin of whole genome duplications, and in facilitating the spread of horizontally transferred genes. Finally results from this and other projects will be integrated into emerging theoretical frameworks. Outcomes of this project will profoundly improve our understanding of reticular processes as drivers of eukaryotic genome evolution, and will impact other key aspects of evolutionary theory, ranging from the concept of orthology to the eukaryotic tree of life.

Keywords: hybridization,horizontal gene transfer,genome evolution,eukaryotes,fungi
K'Watch Glucose: A ground-breaking biometric wearable for painless, minimally invasive and blood-free glucose monitoring. (KWatch Glucose)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: France
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-08-01
End date: 2017-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Diabetes is a global burden expected to affect 642 million people by 2040. In Europe, this disease affects 60 million people and costs over €90 billion to our constraint healthcare system. Today a major part of diabetes management relies on the monitoring of blood glucose levels several times a day. Monitoring needs to be thorough, frequent and accurate, to prevent a persistent imbalance in glucose-insulin levels and the resulting life-threatening events. Although the lives of 70 million diabetes cases worldwide depends on glucose monitoring several times per day, 80% of them fail to stick to this crucial regimen. One main reason is the poor performance of self-monitoring devices. Most of the monitoring systems available today measure blood glucose, becoming painful and time-consuming, often incompatible with daily routines. Some of them adopt the form of a wearable, but devices and replacements are costly, bulky and very evident, giving raise to social stigma. It is evident that new monitoring systems are needed to enhance adherence to the necessary management procedures. In response, we at PKparis have developed, patented and validated K'Watch Glucose, a unique biometric wearable device in the shape of a smart watch that includes glucose monitoring among its many features. Hidden in the rear side of the watch, our biosensor measures glucose levels in the skin, in a minimally invasive manner and independently from blood. Our easy-to-use solution enables users to monitor glucose rapidly, anywhere, anytime and with no one noticing. Before reaching market maturity we need to finalise its development and business preparation. Thus, in Phase 1 we aim to run a Feasibility Study that helps us warrant all technical, commercial and financial standpoints of the project. Along the social and market impacts foreseen for K'Watch Glucose 5 years from launch, it will also boost our growth, expecting €71.77 million in profits, 100 new people and a ROI of 30.88 per euro invested.

Keywords: diabetes,chronic diseases,glucose monitoring,painless glucose monitoring,glucose management,stigma free monitoring,blood free glucose monitoring,smart diabetes management
AUGMENTED REALITY INTERACTIVE EDUCATIONAL SYSTEM (ARETE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Ireland,Spain,Belgium,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Interactive Technologies (H2020-ICT-2018-3, 2018)
Start date: 2019-11-01
End date: 2023-04-30
Duration (months): 42.0
Total project cost (EUR): 3935035.0
EU funding (EUR): 3935035.0
Participants: 12
Project status: SIGNED

Augmented Reality (AR) refers to the real-time digital overlay of information over physical elements. ARETE aims to develop, integrate and disseminate interactive technology via AR methods and tools for the creation and inter-connection of existing digital systems and to build a pan-European competitive ecosystem that supports fast dissemination of augmented learning content to a wide audience, while strengthening the research and industrial capacities in Europe to develop future interactive devices and content for education, taking into account accessibility to a broader community. The ARETE project will support the existing European interactive technologies' effort both through the exploitation of opportunities offered by multi-user interactions with AR technologies evaluated in education in both professional and private contexts within three distinct pilot studies (STEM, English literacy skills, Positive Behaviour Intervention). The authoring tools used within ARETE and the provision of access of the AR content developed for the broader community of users within the EU will increase the European innovation capacity in AR. Through systematic application of human-centred design approaches, ARETE will deliver highly usable, useful and desirable AR technologies and contents, leading to a wider uptake and further stimulate their creative usage. Europe is set to become a global leader in VR and AR, with a production value estimated to increase between €15 billion and €34 billion in Europe. The ARETE ecosystem concept is not just sustaining innovation and developing existing technologies with focus on improving the performance of current products or services. ARETE enables disruptive innovation of AR for interactions, access and distribution of AR educational content to be fully realised through the three different pilots and enhance European innovation capacity in the field.

Keywords: interactive augmented reality
Oligopoly Markets and Networks (Connections)

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: Italy,United Kingdom
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-06-01
End date: 2022-05-31
Duration (months): 60.0
Total project cost (EUR): 829000.0
EU funding (EUR): 706800.0
Participants: 2
Project status: CLOSED

Via our connections we learn about new ideas, quality of products, new investment opportunities and job opportunities. We influence and are influenced by our circle of friends. Firms are interconnected in complex processes of production and distribution. A firm’s decisions in a supply chain depends on other firms’ choices in the same supply chain, as well as on firms' behaviour in competing chains. Research on networks in the last 20 years has provided a series of tolls to study a system of interconnected economic agents. This project will advance the state of the art by further developing new applications of networks to better understand modern oligopoly markets. The project is organised into two sub-projects. In sub-project 1 networks will be used to model diffusion and adoption of network goods. Different consumers' network locations will summarise different consumers' level of influence. The objectives are to understand how firms incorporate information about consumers' influence in their marketing strategies—pricing strategy and product design. It will provide a rigorous framework to evaluate how the increasing ability of firms to gather information on consumers’ influence affects outcomes of markets with network effects. In sub-project 2 networks will be used to model how inputs—e.g., intermediary goods and patents—are combined to deliver final goods. Possible applications are supply chains, communication networks and networks of patents. The objectives are to study firms' strategic behaviour, like pricing and R&D investments, in a complex process of production and distribution, and to understand the basic network metrics that are useful to describe market power. This is particularly important to provide a guide to competition authorities and alike when they evaluate mergers in complex interconnected markets.

Keywords: economics of networks
Enabling Exascale Fluid Dynamics Simulations (ExaFLOW)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: High Performance Computing
Action type: Research and Innovation actions
Countries involved: Germany,Switzerland,Sweden,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications (H2020-FETHPC-2014, 2014)
Start date: 2015-10-01
End date: 2018-09-30
Duration (months): 36.0
Total project cost (EUR): 3312235.0
EU funding (EUR): 3312235.0
Participants: 8
Project status: CLOSED

We are surrounded by moving fluids (gases and liquids), be it during breathing or the blood flowing in arteries; the flow around cars, ships, and airplanes; the changes in cloud formations or the plankton transport in oceans; even the formation of stars and galaxies are closely modeled as phenomena in fluid dynamics. Fluid Dynamics (FD) simulations provide a powerful tool for the analysis of such fluid flows and are an essential element of many industrial and academic problems. The complexities and nature of fluid flows, often combined with problems set in open domains, implies that the resources needed to computationally model problems of industrial and academic relevance is virtually unbounded. FD simulations therefore are a natural driver for exascale computing and have the potential for substantial societal impact, like reduced energy consumption, alternative sources of energy, improved health care, and improved climate models. The main goal of this project is to address algorithmic challenges to enable the use of accurate simulation models in exascale environments. Driven by problems of practical engineering interest we focus on important simulation aspects including: • error control and adaptive mesh refinement in complex computational domains, • resilience and fault tolerance in complex simulations • heterogeneous modeling • evaluation of energy efficiency in solver design • parallel input/output and in-situ compression for extreme data. The algorithms developed by the project will be prototyped in major open-source simulation packages in a co-design fashion, exploiting software engineering techniques for exascale. We are building directly on the results of previous exascale projects (CRESTA, EPiGRAM, etc.) and will exploit advanced and novel parallelism features required for emerging exascale architectures. The results will be validated in a number of pilot applications of concrete practical importance in close collaboration with industrial partners.

Keywords: computational fluid dynamics,exascale,high order methods,spectral methods,adaptive mesh refinement,simulations of turbulence
Versatile Micromotors for Photocatalytic Environmental Remediation (Microbots4Enviro)

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: Czechia
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-07-01
End date: 2022-06-30
Duration (months): 24.0
Total project cost (EUR): 156980.64
EU funding (EUR): 156980.64
Participants: 1
Project status: CLOSED

Environmental degradation issue is a global concern. Great efforts have been made to develop efficient and green approaches for wastewater treatment. Self-propelled nano/microrobots are the forefront of nanotechnology, holding great promise for environmental remediation. Visible light driven semiconductor photocatalyst would be the great catalyst to power such micromachines for environmental remediation. BiVO4 has attracted researchers’ great interest. However, its drawbacks such as significant recombination of photogenerated electron–hole pairs, poor electrical conductivity and slow hole transfer kinetics limit its applications. To enhance the photocatalytic efficiency, this project elaborately develops light-responsive tubular micromotors with smart material design strategy: BiVO4 is robust visible light absorber; ZnO nanorod arrays act as electron transfer channel; rGO films function as electron acceptor; and Co-Pi serves as hole acceptor and catalytic site. The Microbots4Enviro project aims to: (i) establish novel tubular Co-Pi/BiVO4/ZnO/rGO micromotors; (ii) study the comprehensive performance of micromotors in the polluted water with three types of contaminant models (i.e. dye, explosive and bacteria model); and (iii) integrate abundant micromotors in 3DP-motor and demonstrate the pilot-scale test in artificial 5×5m2 pool for environmental remediation. This project will bring an experienced researcher, Dr. Huaijuan Zhou to undertake this cutting-edge multidisciplinary research project at UCT Prague in Czech Republic under the supervision of Prof. Martin Pumera, Director of Center for Advanced Functional Nanorobots. This fellowship will not only restart her research career, but also broaden her knowledge and expertise in the emerging area of self-propelled autonomous nano/micromachines. This project contributes to creating a strong scientific and technical base for European science and technology, and fostering the competitiveness and growth of EU economy.

Keywords: nanorobot,photocatalysis,wastewater decontamination,disinfection,semiconductor,charge separation,transfer
Policies Supporting Young People in their Life Course. A Comparative Perspective of Lifelong Learning and Inclusion in Education and Work in Europe (YOUNG_ADULLLT)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Germany,Spain,Spain,Italy,Germany,Bulgaria,Bulgaria,Finland,Croatia,United Kingdom,Portugal,Portugal
Call: Lifelong learning for young adults: better policies for growth and inclusion in Europe (H2020-YOUNG-SOCIETY-2015, 2015)
Start date: 2016-03-01
End date: 2019-02-28
Duration (months): 36.0
Total project cost (EUR): 2499075.0
EU funding (EUR): 2499075.0
Participants: 15
Project status: CLOSED

Most European Lifelong Learning (LLL) policies have been designed to create economic growth and, at the same time, guarantee social inclusion (EC 2010). First, we will study how different LLL policies are compatible with each other in terms of their orientations and objectives and how each policy considers the needs of ‘young adults’. Second, we will research the intended and unintended effects of policies on young adults. In this regard, we will look into relevant social developments such as life course de-standardisation processes and into an emerging new political economy of skills. Third, we will generate new knowledge about regional and local policymaking, with particular attention to actors, dynamics, and trends. By focusing on their regional/local context, we will elucidate the interaction and complementarity of LLL policies with other sectors of society, thus contributing to a better understanding of current fragmentation and discrepancies, in order to set parameters for future decision-making support systems. The project will first contribute new knowledge of the impact of LLL policies on young adults’ life courses, yielding insights on the conditions, strategies, and necessities for policies to become effective. In addition, it will provide insights on the innovations and potentials they unlock, in particular with view to informal and non-formal learning to better address vulnerable groups. Second, the project contributes to a better understanding of the structural relationships and functional match between education/training and the labour market sectors. Third, the project will provide a thorough review of regional policies and initiatives in the countries studied, laying bare distinct dynamics and trends, but also mismatches and redundancies. In particular, the project aims at identifying successful programmes in terms of sustainable solutions in integrating labour market with, social inclusion as well as their transferability to other contexts.

Keywords: lifelong learning,youth unemployment,labour market policy,adult education policy,life course and transitions,skills demand and supply
EXTended Model of Organic Semiconductors (EXTMOS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Cross-cutting and enabling materials technologies
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Germany,Germany,Germany,Belgium,Belgium,France,United Kingdom,United Kingdom
Call: Widening materials models (H2020-NMP-2014-two-stage, 2014)
Start date: 2015-07-01
End date: 2019-06-30
Duration (months): 48.0
Total project cost (EUR): 4998000.0
EU funding (EUR): 4998000.0
Participants: 13
Project status: CLOSED

EXTMOS’ main objective is to create a materials model and the related user friendly code that will focus on charge transport in doped organic semiconductors. Its aims are (i) to reduce the time to market of (a) multilayer organic light emitting devices, OLEDs, with predictable efficiencies and long lifetimes (b) organic thin film transistors and circuits with fast operation. (ii) to reduce production costs of organic devices by enabling a fully solution processed technology. Development costs and times will be lowered by identifying dopants that provide good device performance, reducing the number of dopant molecules that need to be synthesized and the materials required for trial devices. (iii) to reduce design costs at circuit level through an integrated model linking molecular design to circuit operation. Screening imposes the following requirements from the model 1. An improved understanding of dopant/host interactions at the molecular level. Doping efficiencies need to be increased to give better conducting materials. For OLEDs, dopants should not absorb visible light that lowers output nor ultraviolet light that can cause degradation. 2. An ability to interpret experimental measurements used to identify the best dopants. 3. The possibility of designing dopants that are cheap and (photo)chemically robust and whose synthesis results in fewer unwanted impurities, and that are less prone to clustering. The EXTMOS model is at the discrete mesoscopic level with embedded microscopic electronic structure and molecular packing calculations. Modules at the continuum and circuit levels are an integral part of the model. It will be validated by measurements on single and multiple layer devices and circuits and exploited by 2 industrial end users and 2 software vendors. US input is provided by an advisory council of 3 groups whose expertise complements that of the partners.

Keywords: organic,small molecules,polymers,semiconductor,dopant,electroluminescent,displays,transistors,electronic structure,molecular dynamics,monte carlo,circuits,clusters,defects,traps