Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Radial cOmpresSor Surge INception Investigation (ROSSINI)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Germany,Netherlands
Call: Analysis of centrifugal compressor instabilities occurring with vaneless diffusor, at low mass flow momentum (H2020-CS2-CFP02-2015-01, 2015)
Start date: 2016-10-01
End date: 2021-06-30
Duration (months): 57.0
Total project cost (EUR): 1102458.75
EU funding (EUR): 1102458.75
Participants: 2
Project status: CLOSED

Centrifugal compressor stages using vaneless diffusers are known to have a wide operating range. However, when operated outside of this range, instabilities have been reported to commonly develop in the impeller (rotor) or diffuser or both. The unsteady flow phenomena are believed to start from a localized flow separation (stall) that frequently will orbit within the stage at sub-harmonic rotational speeds (rotating stall). If not damped sufficiently the stall cells will eventually develop into more hazardous self-excited pressure oscillations within the entire compressor stage leading to surge phenomena that can induce high aero-elastic loads on the rotor itself leading to premature aging (fatigue) or ultimate failure of the stage. Predicting of the onset of the instabilities is a prerequisite to maintain compressor operating within safe operating margins. Nonetheless the physical understanding and associated modeling of the stall and surge inception is rather limited and mostly restricted to cause-and-effect investigations. With improved computational models being available nowadays more in-depth investigations of the underlying flow physics have become possible, but relies on high quality experimental data for validation. Following the statement of work put forth in the call for proposal, the first objective of the proposed project is to determine a surge inception scenario for a given academic as well as industrial reference case of centrifugal compressor using vaneless diffuser. Within the proposed project the off-design behavior of each compressor configuration will be investigated both numerically and experimentally, involving time-resolved Kulite array and PIV measurements. Based on this data and on existing theoretical analysis procedures, the second major effort of the present study is devoted to define low-order methodologies that ideally predict the onset of instabilities.

Keywords: centrifugal compressor,surge,rotating instability,measurments,simulation,theoretical analysis
PROBE: European Researchers' Night at Trinity College Dublin (PROBE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European researchers' Night
Action type: Marie Skłodowska-Curie actions
Countries involved: Ireland,United Kingdom
Call: European Researchers' Night (H2020-MSCA-NIGHT-2018, 2018)
Start date: 2018-06-01
End date: 2019-11-30
Duration (months): 18.0
Total project cost (EUR): 203750.0
EU funding (EUR): 203750.0
Participants: 2
Project status: CLOSED

European Researchers’ Night has become one of the most well-known and important public engagement events since it was first introduced in 2005. Ireland’s leading university, Trinity College Dublin (TCD), has coordinated European Researchers’ Night events every year since 2013. Building on the success of the last two years in particular, Science Gallery Dublin and the School of Education at Trinity College, in partnership with the British Council in Ireland (BC), will host PROBE as part of European Researchers’ Night in 2018 and 2019. PROBE will connect researchers with members of the general public through a wide range of interactive and hands-on activities, with a focus on dialogue and participatory learning. PROBE will embrace the theme of cultural heritage to coincide with the European Year of Cultural Heritage, and will emphasise citizen science as an approach to co-creating research. PROBE will aim to challenge general perceptions of research, as well as stereotypes of researchers. The benefit of research to everyday life, the opportunities provided by research careers, and the role of the European Union will all be highlighted by PROBE events. Public engagement and communication training workshops will be offered to all MSCA-funded researchers, and research career showcase pre-events will provide direct contact between researchers and school students. The PROBE project team have extensive experience managing and delivering high-quality public engagement events, and in publishing their evaluations in peer-reviewed education and communication journals. PROBE is a project that will build on the success of previous iterations of European Researchers’ Night hosted by Trinity College Dublin and will be grounded in best practice.

Keywords: european research,cultural heritage,citizen science,public engagement,research careers,communication,education
Investigation of aberrant DNA methylation in malignant haematopoiesis (DNAmethAML)

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: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-01-01
End date: 2019-12-31
Duration (months): 24.0
Total project cost (EUR): 200194.8
EU funding (EUR): 200194.8
Participants: 1
Project status: CLOSED

Acute myeloid leukaemia (AML) is an aggressive type of blood cancer characterized by uncontrollable growth of immature myeloid cells. Somatic mutations in diverse transcriptional regulators result in aberrant epigenetic landscape in leukemic cells, including patterns of DNA methylation. Due to its reversible nature, this epigenetic mark has been a promising therapeutic target and DNA methyltransferase inhibitors are already being used with varying degrees of success in clinic. The targeted improvement of existing therapies requires a better understanding of mechanisms how altered DNA methylation promotes malignancies. TET2, an enzyme catalysing DNA demethylation, is one of the most frequently mutated epigenetic regulators in AML. Its loss leads to hypermethylation at distal regulatory regions (or enhancers) and increased stem cell self-renewal and leukaemogenesis in the haematopoietic system. In the proposed work I plan to investigate the link between aberrant hypermethylation at enhancers and its role in developing and maintaining AML. Firstly, I will take advantage of clinically relevant AML mouse models that combine TET2 deficiency with AML-specific alterations and annotate DNA methylation-sensitive enhancers using high-throughput sequencing methods (MethylC-seq, ATAC-seq and ChIP-seq). Secondly, I will perform a positive-selection CRISPR-based high-throughput enhancer screen to identify DNA methylation-sensitive enhancers that inhibit leukemic stem cell self-renewal (i.e. tumour suppressive regulatory regions). Finally, I will identify and study the function of transcription factors which binding is lost due to aberrant DNA hypermethylation at these sites. The proposed work will be both discovery-based (genome-wide level) as well as mechanistic.

Keywords: leukaemia,dna methylation,tet2,mouse models,crispr,cas9,transcription,enhancers
Utility-in-a- box software platform connecting local electricity producers and consumers to foster Collaborative Energy Ecosystems (COLLABORATRICITY)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Germany
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-05-01
End date: 2017-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

LUMENAZA was founded when our CEO realised that there was no possibility of buying the local green energy produce from their producing neighbours. As a result, 3 years later the company has created Collaboratricity, a software marketplace platform that connects small, local producers with consumers in the same region. 8 projects are up and running and another 6-8 are expected by the end of the year. Our software offers all functions of the energy market: connect and control production facilities, buy electricity from production plants, sell electricity to end users, manage balancing groups and present production data and consume data in real time. In 2014, after a year of development we got the first electricity producers and consumers onto our platform prototype in Berlin-Brandenburg. Three years later, we have expanded the functionality of the platform significantly and the company offers to utilities and communities of producers in several regions of Germany, a Software platform that directly connects up small, local producers with consumers in the same region. We are currently offering our services to 8 utilities in different German’s regions, making up a total of 10MW. Our goal for the end of 2017 is to accumulate 60 MW of flexible production and storage on the system which is coming mainly from household batteries and heat-pumps. Lumenaza’s goal is to create 60 communities of green energy producers across Europe by 2022, reduce the grid cost, and lower 20% GHG emissions such CO2, by giving small producers an opportunity to produce and sell their electricity cost-effectively. During feasibility study we are going to perform a research about European countries regulation to adapt our software to each market in order to expand our solution to other countries. With Collaboratricity project we expect accumulative profits of €54 Million by 2022 and grow from 18 people now up to 205 in 2022.

Keywords: utility in a box,decentralized energy,energy communities,local energy market,renewable energy producers,renewable energy,energy market,distributed energy,electricity
Positivity in Lie groups and representation varieties (PosLieRep)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Germany,Germany
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 2028016.0
EU funding (EUR): 1820078.59
Participants: 2
Project status: SIGNED

Lie groups lie at the heart of mathematics. They play an important role in geometry, analysis, number theory, algebraic geometry and representation theory. As they describe symmetries of a space or a system they also appear prominently in theoretical physics. Not every system realizes the full amount of symmetry, it is therefore of key importance to investigate not only Lie groups, but also their subgroups, and in particular their discrete subgroups, which are often linked to geometric or arithmetic structures. This projects builds upon new developments in the theory of Lie groups, in particular the intro- duction of total positivity in split real Lie groups on the one hand and new exiciting phenomena in the study of discrete subgroups, in particular the emergence of higher Teichmüller spaces. Higher Teichmüller spaces generalize the classical theory of Fricke-Teichmüller space in the context of simple Lie groups of higher rank. The existence of higher Teichmu ̈ller spaces came as a surprise, and their discovery and investigation led to various other interesting developments, including an exciting interplay with the theory of Higgs bundles as well as with supersymmetric field theories in theoretical physics. In this proposal we develop a unifying framework for higher Teichmüller spaces, which comprises the two known families, Hitchin components and maximal representations, but conjecturally also two new families. The basis for this conjectural unified theory lies in a new notion of positivity in Lie groups, which generalizes Lusztig’s total positivity in the context of arbitrary real Lie groups that are not necessarily split. This generalization of total positivity is of interest in its own right and leads to many exciting questions and conjectures that will be addressed in this proposal. The three main themes of the proposed project are Positivity in Lie groups, Positive representations as higher Teichmüller spaces, and Symplectic geometry of representati

Keywords: discrete subgroups of lie groups,positivitity in lie groups,surface group representations,geometric structures,representation varieties
Cryo-electron tomography for microbial ecology and evolution (CryoET4Diversity)

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: Switzerland
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2022-01-01
End date: 2026-12-31
Duration (months): 60.0
Total project cost (EUR): 1996102.0
EU funding (EUR): 1996102.0
Participants: 1
Project status: SIGNED

The cryo-electron microscopy (cryoEM) modalities of single particle analysis and cryo-electron tomography (cryoET) have revolutionized the fields of structural biology and cellular biochemistry, and they enabled groundbreaking insights into primarily hypothesis-driven, mechanistic problems, using well-established model systems. High-throughput sequencing technologies have revolutionized microbial community studies and changed our view of the diversity of life. In order to understand how microbes function and interact with other cells, however, sequencing- and cultivation-based techniques must be complemented with experiments that elucidate phenotypes in situ at the single-cell level. In Aim 1, we will develop cryoET methods for their application to problems in microbial ecology. We will resolve technical challenges of cryoET application to complex environmental samples, including aspects of sample preparation, data collection, data analysis and data integration. In Aim 2, we will apply the new methods to outstanding biological questions to advance our understanding of cell-cell interactions. We will study the role of unique bacterial tubulins in a bacterium-ciliate symbiosis, aspects of multicellularity in magnetotactic bacteria, and the diversity and roles of bacterial contractile injection systems. This project resides at the interface of structural biology/biophysics and environmental/evolutionary biology. We will leverage the power of cryoET to generate three-dimensional images of cells in a frozen-hydrated life-like state, and at macromolecular resolution. The complementation with high-throughput and single-cell approaches from microbial ecology will allow us to make progress on specific biological questions. CryoET offers a new “sense” for the analysis of complex environmental samples. Our efforts will establish cryoET as a discovery tool that enables us to conceive how genetic variations manifest in structural and functional diversity.

Keywords: electron microscopy,cryo electron tomography,sample preparation,cell cell interactions,macromolecular machines,contractile injection systems,cytoskeleton,multicelluarity
Computing Patterns for High Performance Multiscale Computing (ComPat)

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,Russian Federation,Poland,Netherlands,Netherlands,United Kingdom,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): 4122864.36
EU funding (EUR): 3942885.0
Participants: 13
Project status: CLOSED

Multiscale phenomena are ubiquitous and they are the key to understanding the complexity of our world. Despite the significant progress achieved through computer simulations over the last decades, we are still limited in our capability to accurately and reliably simulate hierarchies of interacting multiscale physical processes that span a wide range of time and length scales, thus quickly reaching the limits of contemporary high performance computing at the tera- and petascale. Exascale supercomputers promise to lift this limitation, and in this project we will develop multiscale computing algorithms capable of producing high-fidelity scientific results and scalable to exascale computing systems. Our main objective is to develop generic and reusable High Performance Multiscale Computing algorithms that will address the exascale challenges posed by heterogeneous architectures and will enable us to run multiscale applications with extreme data requirements while achieving scalability, robustness, resiliency, and energy efficiency. Our approach is based on generic multiscale computing patterns that allow us to implement customized algorithms to optimise load balancing, data handling, fault tolerance and energy consumption under generic exascale application scenarios. We will realise an experimental execution environment on our pan-European facility, which will be used to measure performance characteristics and develop models that can provide reliable performance predictions for emerging and future exascale architectures. The viability of our approach will be demonstrated by implementing nine grand challenge applications which are exascale-ready and pave the road to unprecedented scientific discoveries. Our ambition is to establish new standards for multiscale computing at exascale, and provision a robust and reliable software technology stack that empowers multiscale modellers to transform computer simulations into predictive science.

Keywords: high performance multiscale computing,multiscale computing patterns,grand challenges,performance measurement and prediction,experimental execution environment,exascale
MORPHotype EcOSystem – design remote definition based on big data morphology and use ecosystem for creative industries (Morpheos)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Italy,Italy,Spain,Spain
Call: Support technology transfer to the creative industries (H2020-ICT-2016-1, 2016)
Start date: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 1353481.25
EU funding (EUR): 1117531.25
Participants: 6
Project status: CLOSED

The objective of Morpheos is to create in EU a centralized open ecosystem based on consumer morphology where creative enterprises can have access to knowledge about customers expectations and need (“customization knowledge” in the following) to enhance their creativity and design processes. It will address the needs of EU creative SME manufacturers, consumers and creative web developers and entrepreneurs. Based on the analysis of actual solutions limits, Morpheos offers a different disruptive approach, exploiting actually available KET (smart mobile, 4G broadband), open ecosystem approach and social interaction not possible in the past. Specific objectives are: deployment of MORPHEOS PLATFORM for item suggestion based on unique identification of the customer and morphotype DB, in form of plug&play addons for major e-commerce platforms (Wordpress, Joomla, Magento, Prestashop) to be affordable, accessible to SMEs and fit for high design goods produced in EU; SMARTHPONE AND MOBILE MEASURE COLLECTION exploiting in commercial environment mobile camera potential to collect consumer measures, fully integrated with the addons; refinement, validation and implementation of the self-learning MATCHER algorithm for item personalized indication; DEMO AND SCALE-UP use in operational environment, paving the way to commercial exploitation; creation of a standardized unique BIG DATA of morphotypes of all geographical groups of on-line world consumers and products; the MORPHEOS ECOSYSTEM ready for third party additional solutions and apps by web entrepreneurs to exploit the potential of the sw with new functionalities and to expand its use to other sectors. The final objective is to realize a “beta” version of the platform and of add-ons for the major ecommerce platforms, validated in real business environment by SME vendor end users and consumers in fashion and interior design sectors, to prove the validity of the solution in 2 major creative EU manufacturing sectors.

Keywords: creative industries,fashion,smes,interior design,morphology,ecosystem,big data,cms content management systems,business plan,venture capital,stylist,metrics
Lighting up the dark - the evolution of dust throughout cosmic time (CosmicDust)

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: United Kingdom
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-09-01
End date: 2021-02-28
Duration (months): 66.0
Total project cost (EUR): 1789713.75
EU funding (EUR): 1789713.75
Participants: 1
Project status: CLOSED

After more than two decades of infrared astronomy, we still know very little about the origin and evolution of cosmic dust in galaxies, responsible for obscuring half of all starlight since the Big Bang. This obscured starlight is re-radiated in a region of the electromagnetic spectrum that is still relatively unexplored. Herschel provides a unique opportunity to resolve this by revealing the 90% of dust too cold to be detected before, yet only a tiny fraction of the largest survey of the sky carried out with Herschel has been exploited. This project aims to unravel the dust and gas content of galaxies in the local universe and over cosmic time. I will produce the first statistical census of dust in galaxies, pushing out to earlier cosmic epochs than previously possible. This also provides us with an opportunity to detect unusual objects not seen in other surveys, including a population of extremely dusty galaxies found in Herschel with blue optical colours and very different properties to more evolved spirals typical of the Milky Way. I will use our multi-wavelength data to investigate the emissivity, gas and star formation conditions on resolved spatial scales. Our Herschel data will also expose the role of environment in the interstellar content of early-type and spiral galaxies. I propose a novel approach to resolve the controversy of whether dust forms in exploding stars using polarized light. This could have implications for the detection of polarized signals in the relic radiation from the Big Bang, currently attributed to primordial gravitational waves. Our polarized dust maps of nearby supernova will reveal whether this could be a major contaminant to cosmological signals. This project is timely due to the availability of final Herschel data products and new facilities in 2015-16 in combination with tools and techniques that we have tried and tested. This ERC award will provide me with the resources to continue to lead this emerging field.

Keywords: galaxies,dust,far infrared,supernovae,polarization