Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Definable and pseudofinite groups (DEFGROUP)

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: Mathematics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-09-01
End date: 2023-09-30
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

The proposed research links logic (model theory) and algebra (group theory). It explores groups which are first-order definable in structures that satisfy certain model-theoretic restrictions. The structures, here called `tame’, are stable, simple, NIP, or NTP2, concepts from Shelah's `generalised stability theory'. WP 1 concerns groups definable in tame fields, possibly equipped with extra operators. The aim is to show that a definable group in such fields must be closely related to the rational points of an algebraic group and to investigate the structure fixed pointwise by a generic automorphism in a generic differential difference field. WP 2 revolves around pseudofinite groups (infinite groups satisfying every sentence true of all finite groups), and gives a model theoretic perspective on finite group theory. One goal is to prove that the soluble radical of any pseudofinite group with a simple theory is soluble. Another is to solve the following question, possibly with a pseudofinite counterexample: given a `tame’ group G and a soluble subgroup H of G, is there a definable soluble subgroup of G containing H? The final WP2 objective concerns primitive pseudofinite permutation groups and in particular the question whether elementary extensions preserve primitivity. The two Workpackages are well-linked: for example, any infinite group definable in a pseudofinite field (or in any pseudofinite structure) is pseudofinite. The Fellow, Hempel, will receive training through research in Leeds, from the supervisor Macpherson and from the wider model theory group. She will benefit from the background of Macpherson on pseudofinite groups and permutation groups, and the broader experience of other Leeds model theorists. She will transfer to Leeds specific expertise on conditions such as NTP2, and on tame groups. She will receive training and opportunities complementary to her previous experience, on topics such as outreach, project management, and PhD student support.

Keywords: definable groups in fields,pseudofinite groups,simple theories,nip theories,ntp2 theories
Incubator of Trusted B2B Data Sharing ecosystems of collaborating SMEs linked to Digital Innovation Hubs (i4Trust)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Germany,Spain,Poland,Netherlands,Netherlands,Denmark
Call: Big Data Innovation Hubs (H2020-DT-2019-2, 2019)
Start date: 2020-10-01
End date: 2023-09-30
Duration (months): 36.0
Total project cost (EUR): 5872087.5
EU funding (EUR): 5833837.5
Participants: 7
Project status: SIGNED

i4Trust contributes to break "data silos" and stimulate sharing, re-using and trading of data assets by launching an "incubator of Trusted B2B Data Sharing ecosystems of collaborating SMEs linked to Digital Innovation Hubs". Actors in these ecosystems will share data by using iSHARE, CEF and FIWARE building blocks. Goal is boosting the participation of SMEs in development of innovative services in different sectors based on sharing of data across value chains. i4Trust value proposition will contribute to build trust with data users and data suppliers by supporting 32 Bottom Up Experiments that will involve at least 150 SMEs and 32 Digital Innovation Hubs. The project will help them in understanding the demand for data, establishing data sharing partnerships, identifying concrete use cases relying on trusted sharing of data, by adopting user-friendly and proved technologies for B2B data sharing such as iSHARE, FIWARE, and CEF Building Blocks, which cover all the operational, legal, technical and governance aspects related with B2B Data Sharing. The project execution relies on a LEAN consortium of experts in B2B Data Sharing with deep roots in the European DIH Network. The project coordinator, FIWARE Foundation, is linked to a network of European FIWARE iHubs and they also bring a deep expertise in FIWARE and CEF Building Blocks technologies. FundingBox Accelerator – European leader in Financial Support to Third Parties – is also a member of 6 DIHs and partner of another 37 all across Europe. The iSHARE Foundation, on the other hand, brings to the project a deep knowledge in operational, technical, legal and governance issues related to B2B Data Sharing they have accumulated during the research and development process related with the launch of iSHARE, a neutral trusted data sharing network, with high international acknowledgement and uptake.

Keywords: b2b data sharing,ishare,fiware,industrial cross sector value chains
Underwater passive aquatic listening network system for smart monitoring of high impact weather events - myPAL-NET (myPAL-NET)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Greece,Greece
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-10-01
End date: 2020-03-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 2
Project status: CLOSED

A smart passive aquatic listener network (myPAL-NET) is a user friendly and simple in use and inexpensive in deployment system consist of two or three small in size and thus cheap in construction and maintenance low consumption passive detectors (called myPAL). They are running autonomy (with their own power source). The "smart" algorithm that is embedded in each myPAL works independently for the detection, classification and quantification of the different environmental (rainfall rate and occurrence, wind speed, roughness of see, bubbles, salinity, landslides, etc.), biological (marine mammal calls, etc.) and anthropogenic (seismic activity, off-shore drilling operations, shipping, construction, sonars, fishing, mineral exploration, etc.) underwater sound sources. Appropriate algorithm will be developed for “smart” duty cycle operation and data acquisition as well as automated pre-process analysis (called smart PAL). myPAL-NET covers a large area. Each one talks to each other via the surface platforms. The system will be autonomous, interoperable, easy to deployed with low power consumption and designed for prolonged immersion as required. myPAL-NET is a cost-effective solution, which can replace various surface meteorological and oceanographic sensors attached on large mooring systems, from one sensor (myPAL) or a network of myPALs (myPAL-NET) that covers a larger area and can replace the large and expensive mooring systems. Finally, the system will be fully standardised to co-operate with existing observing mooring systems, compatible with EU data collection policies and international standard requirements. The primary objective of the feasibility study is to fully commercialize the technology behind the underwater passive aquatic recording system and to gain an understanding to the potential opportunities of this technology in the marine instrumentation and oceanographic market.

Keywords: underwater passive acoustics,acoustic network,terrestrial communication,marine monitoring,extreme weather,climate change
NOVEL TREATMENT OF ACUTE ON CHRONIC LIVER FAILURE USING SYNERGISTIC ACTION OF G-CSF AND TAK-242 (A-TANGO)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Spain,Germany,Ireland,Spain,Switzerland,Belgium,Switzerland,France,Netherlands,United Kingdom,United Kingdom
Call: New interventions for Non-Communicable Diseases (H2020-SC1-2020-Two-Stage-RTD, 2020)
Start date: 2021-03-01
End date: 2026-02-28
Duration (months): 60.0
Total project cost (EUR): 6634322.5
EU funding (EUR): 5999999.0
Participants: 14
Project status: SIGNED

In Europe, about 30,000 people die every year from alcohol related cirrhosis, a form of chronic, non- communicable disease. The patients that are at highest risk of death are those with superimposed alcoholic hepatitis (AH) who do not respond to therapy and develop acute on chronic liver failure (ACLF), a newly described syndrome characterised by multiorgan failure. Treatment of ACLF is an unmet need. Based upon their clinical and pre-clinical studies, the A-TANGO consortium aims to perform Phase 2 clinical trials of a novel, patented and innovative therapeutic strategy by repurposing a toll-like 4 receptor antagonist (TAK242, Technology Readiness Level (TRL) 8), which targets inflammation, and combining it with granulocyte colony-stimulating factor (G-CSF, TRL9) that improves hepatocyte proliferation (G-TAK, TRL4). A successful trial will advance G-TAK to TRL8. Additionally, A-TANGO aims to discover novel biomarkers for patient selection and defining prognosis, building health economics models and reimbursement strategies to allow maximal dissemination and exploitation. The A-TANGO Consortium includes the inventors of G-TAK (UCL, Charité, ULEI and LUMC) and will deliver the project aims through EFCLIF, which has a network of 110 European hospitals. YAQ and HPX are SME’s that own the background IP and will ensure regulatory approval, study Sponsorship and drug supply. APHP and IMAC will deliver the economic models. Concentris will manage the project and together with EASL, CHX and ELPA will engage with patients, initiate widespread dissemination activities and allow exploitation of the results. Gender balance will be maintained throughout the project duration. A-TANGO will achieve the expected impacts of producing meaningful advances in clinical practice by reducing the mortality and improving the quality of life of patients with ACLF whilst reducing disease burden of individual patients and health care systems following validation in late stage clinical trials.

Keywords: alcoholic hepatitis,acute on chronic liver failure,g csf,toll like receptor
European, extendable, energy-efficient, energetic, embedded, extensible, Processor Ecosystem (eProcessor)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: European High Performance Computing
Action type: Research and Innovation actions
Partnership: EuroHPC (Art-187)
Countries involved: Germany,Italy,Germany,Germany,Spain,Sweden,Greece,Greece,France,France
Call: Extreme scale computing and data driven technologies (H2020-JTI-EuroHPC-2019-1, 2019)
Start date: 2021-04-01
End date: 2024-03-31
Duration (months): 36.0
Total project cost (EUR): 7999975.0
EU funding (EUR): 3999987.51
Participants: 10
Project status: SIGNED

The eProcessor ecosystem combines open source software (SW)/hardware (HW) to deliver the first completely open source European full stack ecosystem based on a new RISC-V CPU coupled to multiple diverse accelerators that target traditional HPC and extend into mixed precision workloads for High Performance Data Analytics (HPDA), (AI, ML, DL and Bioinformatics). eProcessor will be extendable (open source), energy-efficient (low power), extreme-scale (high performance), suitable for uses in HPC and embedded applications, and extensible (easy to add on-chip and/or off-chip components), hence, the “e” used as a wildcard in eProcessor proposal name. eProcessor combines cutting edge research utilizing SW/HW co-design to achieve sustained processor and system performance for (sparse and mixed-precision) HPC and HPDA workloads by combining a high performance low power (architecture and circuit techniques) out-of-order processor core with novel, adaptive on-chip memory structures and management, as well as fault tolerance features. These software-hardware co-design solutions span the full stack from applications to runtimes, tools, OS, and the CPU and accelerators. eProcessor is able to pursue a full stack (SW and HW) research project by leveraging and extending the work done in multiple European projects like: European Processor Initiative, Low-Energy Toolset for Heterogeneous Computing, MareNostrum Experimental Exascale Platform, POP2 CoE, Tulipp, EuroEXA, and ExaNeSt. By doing so, we can improve the Technical Readiness Level and work with industrial partners that provide a direct path to commercialization. This can only be done with a combination of SW simulation, HW emulation using FPGAs, and real ASIC prototypes that demonstrate the full stack feasibility of the hardware and software. Finally, while the applications we use span IoT to HPC, the ASIC implementation will be in a technology node that can easily be adopted for a near-future HPC implementation.

Keywords: open source hardware,software,energy efficiency,hardware,software co design,high performance data analytics,mixed precision,deep learning,machine learning,extreme scale computing
Supercurrents of Magnon Condensates for Advanced Magnonics (SuperMagnonics)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-10-01
End date: 2022-03-31
Duration (months): 66.0
Total project cost (EUR): 2443437.52
EU funding (EUR): 2443437.52
Participants: 1
Project status: CLOSED

I propose the opening of the new research field of room-temperature supercurrents formed in condensates of magnons. These supercurrents represent a novel type of macroscopic quantum phenomenon analogous to the low-temperature effects of superconductivity and superfluidity. They constitute the transport of angular momentum, which is driven by a phase gradient in the magnon-condensate wavefunction. The results I envision possess the potential to completely revolutionize information processing with minimum dissipation and in ambient conditions. Magnons are the quanta of spin waves, the dynamic eigen-excitations of a magnetically ordered body. Condensates of magnons relate to Bose-Einstein condensates, and they spontaneously form a spatially extended coherent ground state, which can be established independently of the magnon excitation mechanism and, most importantly, can be realized at room temperature. Magnon condensates and supercurrents will offer unprecedented opportunities to address novel, emergent, fundamental perspectives for the investigation of macroscopic quantum phenomena and their potential applications. SUPERMAGNONICS will pioneer the generation, processing and detection of magnonic supercurrents. I will specifically address the realization of magnonic Josephson junctions and the magnon version of the Aharonov-Casher effect where the phase of a magnon condensate and, thus, a persistent supercurrent, is controlled by an electric field. This approach will allow for fundamentally new means of magnon control. Experiments will be carried out using the unique technique of space-, phase- and time-resolved Brillouin Light Scattering spectroscopy for the imaging of the wavefunction of the condensates allowing for direct access to the supercurrent phenomena. In order to show the high potential for applications, I will demonstrate the functionality of a logic gate based on supercurrent wavefunction manipulation.

Keywords: magnetisation dynamics,magnonics,spin waves,information processing
Score-driven TEnsor Autoregressive DYnamical models (STEADY)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 175572.48
EU funding (EUR): 175572.48
Participants: 1
Project status: TERMINATED

The last decade has been characterised by a data revolution. In economics and elsewhere (physics, machine learning, biology, imaging, statistics) ever more data structures emerge that require new models suited for analysing multidimensional arrays of data, so called tensors (e.g., data of firm exposures (dimension 1) to other firms (dim.2) over time (dim.3) in different markets (dim.4)). Adequate econometric models for such data are currently largely lacking. They either simplify the problem to the 2-dimensional setting, or use models that are too static to account for rapid changes in economic conditions. STEADY fills this gap by developing new tensor models that account for the typical non-linear and dynamic features of economic data. STEADY concentrates on two main contributions: developing a general class of dynamic time-series models (tensor score-driven time-varying parameter models), and developing new tensor-based compression techniques for many economic time series (tensor dynamic factor models). The models developed will also be applicable in related fields. Both contributions of STEADY are applied to policy relevant questions for central banks and financial regulators, including forecasting multi-country, multi-market interest rate term structures for the evaluation of monetary policy effectiveness, and nowcasting multi-country economic activity in the heterogeneous European context. This is done by a close cooperation between the principal researcher, experts at VUA (host), and the European Central Bank (ECB). A secondment to ECB is key to the project, such that methodology, application, and implementation can be developed as a joint, cross-disciplinary effort between university and policymakers.
Sustainable nanoHVOF and nanoaxialPlasma coating solutions against wear problems of extrusion machines allowing an eco-efficient use of materials and the increase of recycling in the plastics industry (nanoHPcs)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Germany
Call: Boosting the potential of small businesses in the areas of climate action, environment, resource efficiency and raw materials (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2017-03-01
End date: 2019-02-28
Duration (months): 24.0
Total project cost (EUR): 2773694.75
EU funding (EUR): 1941586.32
Participants: 1
Project status: CLOSED

Company Thermico has developed the first technology that enables to highly increase the share of recycling in the EU plastics industry. This cost-effective coating technology – called nanoHPcs – solves wear and corrosion problems in critical components of plastics extrusion machines. Today, plastics and fibre-reinforced plastics have become the first material of use in many sectors (construction, automotive, aviation, etc.), being in many cases lighter, cheaper, more resistant and recyclable than metal. This highly affects the production equipment, as for plastics extrusion, machines must cope with increasing production amounts and requirements. Even more challenging is the extrusion of waste materials and of plastics aggregates with abrasive metal, ceramic, glass and wooden particles. The challenge in this industry is to make recycled plastics as pricely attractive as raw plastics material. Since recycled plastic is much more abrasive, extrusion machines must not lose any performance through incorporating the recycled material. Compared to conventional coating methods, nanoHPcs can enhance the share of plastics recycling in the industry by at least 10%, displaying a fantastic price-performance ratio, a reduction of more than 50% of production costs of critical components and of up to 70% of coating manufacturing and finish processing costs. With help of the SME-Instrument, Thermico expects by 2023 a turnover increase from currently €5.3 million to €40.2 million, a staff increase of 132 employees and a market share in its calculated addressable market of 15%. To guarantee a successful market introduction, Thermico will build strong references through numerous field tests at customers. Thermico could therefore acquire 4 launching customers: 1 OEM, 2 repairers and retailers of extruder components and 1 plastics producer. Introduction of the solution in the plastics extrusion market will occur in several steps: DACH countries, the EU and, later, North America and Asia.

Keywords: plastics industry,plastics waste,plastics extrusion,coating technology,thermal spraying technology,resource efficiency in production,recycling of plastics materials
Galician Night of Researchers (G-NIGHT)

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: Spain,Spain,Spain
Call: European Researchers' Night (H2020-MSCA-NIGHT-2020bis, 2020)
Start date: 2021-05-01
End date: 2021-11-30
Duration (months): 7.0
Total project cost (EUR): 636100.0
EU funding (EUR): 153903.0
Participants: 10
Project status: CLOSED

The emergence of the new coronavirus has meant a turning point, a radical change in many facets of our life and of course in the social perception of science and science communication too. During the crisis and for the first time in our era, a very large part of society really needed to rely and understand how science works and its outcomes, and they had to fight to find reliable and accurate sources of scientific information. The deafening noise of the first weeks was a sign that maybe scientist and their institutions have to communicate and listen better and that a closer relationship between science and society is still needed. In Spain, a survey carried out in April 2020 showed that healthcare professionals were the group that citizens rated most highly followed by scientists. In previous studies, such as Social Perception of Science 2018, it was already clear that the professions most highly valued by citizens were, in this order, doctors, scientists and teachers, over engineers, entrepreneurs, judges and journalists. Even so, a recent study certifies a 30% drop since 2000 in the number of enrolments in scientific and technical careers. It points out different causes for this drop and the main one seems to be the perception that it is not worth making the effort due to the imbalances in the job market. So, in this context, G-Night seeks to bring its research institutions to the whole population, to continue working and caring for a relationship that is strengthened every day. And for the first time, the main Galician centres and universities aim to do it together, reflecting the collaborative nature of science and knowledge generation. The Scientific Culture and Innovation Unit of UVIGO leads a project to bring together the 3 Galician universities, several research centres, museums, libraries and other science organizations and associations with the public to show the reality of research and science in different areas of knowledge

Keywords: creativity,scientific culture,researchers,dissemination