Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The most effective and economically attractive solution for treating oily waste water on vessels and keeping our oceans cleaner (oilywatertreat)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Faroe Islands
Call: Boosting the potential of small businesses in the areas of climate action, environment, resource efficiency and raw materials (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-04-01
End date: 2018-09-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

FMT has developed a novel Oil Water Separator (OWS) solution that can treat large amounts of oily waste water on-board of large ships, dramatically reducing their need to store sludge on board and thereby eliminates the need for costy disposal of sludge on land. Current solutions can only treat the lightly polluted bilge water but not the heavily contaminated sludge. This leads to a need to store between 300-800 liters of sludge, depending on the size of the ship. Increasingly stringent regulation forces shipping owners to discharge the sludge before harbor entry, resulting in high disposal costs ov 235 EUR per m3 on average. Sadly, this pressure also rises the incentive to release sludge illegally in the open sea endangering the natural habitat. Heavy fines and prison sentences are the consequence. FMT’s OWS is suitable to all commercial vessels, especially those that use heavy fuels, the biggest polluters. It separates oil and water more effectively than any other currently available system and offers ship owners an unprecedented payback of less than 10 months. The system can handle all types of oily waste water on board, while returning much cleaner water than any other system. The water is then legally discharged to sea. Crucially, the system which costs operators an . Oily waste water is a daily occurrence on-board of vessels. Bilge water with low oil content originates from cleaning activities around the engines, while sludge is a product from purifying fuel oil and lubricants. Unsatisfactory experiences by ship owners with current OWS systems inspired FMT to develop the solution based on their input. The FMT method for dewatering sludge through evaporation has been patented. Prototypes have been installed and tested, including at the world’s second largest ship-owner A.P. Moeller Maersk, who were willing to spent time with FMT to specify the functionality for a fully market ready solution. These suggestions have led to this Phase 1 project.

Keywords: oil water separator,sludge,oily water,disposal costs,heavy fuels
THE UNCHARTED BRAIN TERRITORY - The (pre)Supplementary Motor Area and its role in language cognitive control in health and neurodegeneration (preSMAcog)

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: Social Sciences and Humanities
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: CLOSED

The function of white matter networks of the human brain is a key inquiry of contemporary neuroscience. Initial observations suggest that damage to the white matter system connecting the pre-supplementary and supplementary motor areas ((pre)SMA) with frontal cortices and caudate nuclei may impair both language and cognition. However, it is unclear which exact cognitive mechanisms are compromised and if specific projections of this network obey to a division of labor. Providing this knowledge is of the utmost importance for a variety of neurological populations, but especially for Huntington´s Disease (HD) - a rare genetic disease that represents a neurodegeneration model, with alterations in both (pre)SMA system and language/cognitive difficulties. PreSMAcog proposes a multidisciplinary, precise description of the (pre)SMA system. To achieve this, I will (1) provide a neuroanatomical characterization of the system using structural neuroimaging techniques (diffusion tensor imaging) and laboratory dissections in both HD and healthy individuals, (2) explore the links between structural properties of the (pre)SMA system and cognition and (3) design a sensitive tele-assessment of language and cognition in HD. I will conduct this research in Barcelona joining a team of ultimate experts in neuroimaging and language/cognitive neuroscience with long-standing experience in HD research. Furthermore, I will implement, for the first time in HD, an innovative brain connectivity mapping technique supervised by its pioneer (secondment in Oxford). PreSMAcog will enhance my current expertise leading me towards independence in multidisciplinary neuroscience research and academic leadership. The synergy between four major disciplines of neuroscience (neuroanatomy, language/cognitive neuroscience, neuroimaging, and neuropsychology) and between two excellent academic centers will allow to precisely describe the (pre)SMA system and to understand its role in cognition in health and HD.

Keywords: neuroanatomy,cognitive control,huntington s disease,tele neurology,supplementary motor area,pre supplementary motor area,brain white matter
Automated Verification of Textual Claims (AVeriTeC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 1982824.0
EU funding (EUR): 1982824.0
Participants: 1
Project status: SIGNED

Verification of textual claims is the task of assessing the truthfulness of a statement in natural language. It is commonly conducted manually by journalists on claims made by public figures such as politicians, with the aim of reducing misinformation. However, the proliferation of social media has created the need to apply verification to a larger volume of claims coming from a greater variety of sources, thus calling for automation. Research in automated verification of textual claims is at an early stage. The methods developed either assess the truthfulness of the claim without considering evidence, or handle very simple claims such as “UK has 3.2 million EU immigrants” that requires the retrieval of a single factoid from a knowledge base. While useful, claims are often more complex, and taking evidence into account is necessary for the verdicts to be credible. AVeriTeC will transform automated verification by enabling the verification of more complex claims than previously attempted, such as “the United Kingdom has ten times Italy’s number of immigrants”, which require multiple pieces of evidence. We will achieve this by developing methods able to generate multiple questions per claim, retrieve answers from both knowledge bases and textual sources, and combine them into verdicts. As these tasks are interdependent, we will develop novel machine learning approaches able to handle them jointly so that the verdicts are accompanied by suitable justifications in the form of questions and answers. The latter will be formulated in natural language, thus the process followed by the models developed will be explainable to the users, while the evidence itself can be useful even if the overall verdict is incorrect. Beyond developing novel methods and creating publicly available evaluation resources, AVeriTeC will establish verification of textual claims as a real-world challenge to stimulate progress in natural language processing, machine learning and related fields.

Keywords: automated verification,fact checking,computational journalism
High Performance Computer and Quantum Simulator hybrid (HPCQS)

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: Austria,Ireland,Germany,Spain,Italy,Italy,Germany,Italy,Germany,France,France,France
Call: Pilot on quantum simulator (H2020-JTI-EuroHPC-2020-2, 2020)
Start date: 2021-12-01
End date: 2025-11-30
Duration (months): 48.0
Total project cost (EUR): 12000000.0
EU funding (EUR): 6000000.0
Participants: 18
Project status: SIGNED

The aim of HPCQS is to prepare European research, industry and society for the use and federal operation of quantum computers and simulators. These are future computing technologies that are promising to overcome the most difficult computational challenges. HPCQS is developing the programming platform for the quantum simulator, which is based on the European ATOS Quantum Learning Machine (QLM), and the deep, low-latency integration into modular HPC systems based on ParTec’s European modular supercomputing concept. A twin pilot system, developed as a prototype by the European company Pasqal, will be implemented and integrated at CEA/TGCC (France) and FZJ/JSC (Germany), both hosts of European Tier-0 HPC systems. The pre-exascale sites BSC (Spain) and CINECA (Italy) as well as ICECH (Ireland) will be connected to the TGCC and JSC via the European data infrastructure FENIX. It is planned to offer quantum HPC hybrid resources to the public via the access channels of PRACE. To achieve these goals, HPCQS brings together leading quantum and supercomputer experts from science and industry, thus creating an incubator for practical quantum HPC hybrid computing that is unique in the world. The HPC-QS technology will be developed in a co-design process together with selected exemplary use cases from chemistry, physics, optimization and machine learning suitable for quantum HPC hybrid calculations. HPCQS fits squarely to the challenges and scope of the call by acquiring a quantum device with two times 100+ neutral atoms. HPCQS develops the connection between the classical supercomputer and the quantum simulator by deep integration in the modular supercomputing architecture and will provide cloud access and middleware for programming and execution of applications on the quantum simulator through the QLM, as well as a Jupyter-Hub platform with safe access guarantee through the European UNICORE system to its ecosystem of quantum programming facilities and application libraries.

Keywords: quantum simulator,hybrid quantum hpc computation,modular supercomputer architecture,cloud access,tier 0,federated quantum hpc infrastructure,co design,use case,atos qlm,pasqal fresnel
New Approaches to Counting and Sampling (NACS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: United Kingdom
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 1468303.0
EU funding (EUR): 1468303.0
Participants: 1
Project status: SIGNED

Probabilistic models have been adopted in almost all scientific disciplines. Many related computational problems arise, involving estimating the probability of certain events, or drawing samples from a desired distribution. These problems, technically known as counting and sampling problems, are the main focus of the NACS project, with an emphasis on rigorous mathematical analysis. Markov chain Monte Carlo algorithms have been designed and applied for counting and sampling long before the computational complexity theory, and they are among the oldest randomised algorithms. There had been dramatic progress in the rigorous analysis of Markov chains in the golden era of early 90s, which has lead to many landmark results. Nevertheless, after about 30 years' development, the complexity of many fundamental problems remains open. In the last few years, a number of exciting approaches have emerged, resulting from new perspectives and surprising connections. Consequently, a lot of old challenges start to crumble. It is now the right time to revisit some of the oldest problems in counting complexity. The emerging techniques include brand new sampling frameworks, such as partial rejection sampling, as well as new ways to analyse traditional algorithms, especially Markov chain algorithms. They can be classified under two themes: those connected with the Lovasz local lemma and those with the geometry of polynomials. The goal of this project is to unleash the full power of the new approaches, to establish novel algorithmic paradigms, and to attack major open problems, such as sampling perfect matchings in general graphs. Due to the fundamental nature of counting and sampling problems, success of the project will also benefit a number of related areas, ranging from combinatorial optimisation, machine learning, and randomised algorithms, to combinatorics, probability theory, statistical physics, and quantum computation.

Keywords: computational complexity,approximate counting,sampling,markov chain monte carlo
Molecular Understanding of Generation and Trafficking of Mitochondrial [4Fe-4S] Clusters (FourFeFourS)

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: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-06-15
End date: 2017-06-14
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

Iron-sulfur [Fe-S] clusters play a vital role in numerous cellular functions. They are a sine qua non for cellular energy production and maintenance of genomic stability. Therefore, elucidation of the biogenesis of [2Fe-2S] and [4Fe-4S] proteins is of utmost importance for basic science in its broadest sense, as it is for ongoing efforts to establish their relevance to human disease and their utilization for biotechnological production of fine chemicals in microorganisms. The iron-sulfur cluster (ISC) assembly process is responsible for incorporating the inorganic cluster into [Fe-S]-associated proteins in the mitochondria. Cytosolic and nuclear [Fe-S] protein assembly that dictates cellular iron concentrations and DNA integrity outside of the mitochondria also depends on the function of the ISC machinery. The mitochondrial ISC biogenesis machinery entails at least 17 proteins, yet how the proteins for [4Fe-4S] maturation work in a unified manner to produce the active cluster and transfer it to target proteins remains poorly understood. FourFeFourS intends to discover the underlying mechanisms of [4Fe-4S] biogenesis in the mitochondria, which could shed new light into how dysfunction of the proteins involved may lead to fatal diseases. To this end, studies will combine a biochemical reconstitution assay of the biological process utilizing isolated ISC proteins in conjunction with spectroscopic and spectrometric experiments that elucidate detailed protein function and molecular structure. In carrying out this cutting-edge research under the tutelage of a world-leading expert on iron-sulfur protein biogenesis, I will expand my expertise within the multidisciplinary field of biochemistry – in particular my understanding of the roles of metal ions in biology. In the process, I will build a solid foundation for a future research career as a group leader within the European Union.

Keywords: fe s cluster biogenesis,fe s cluster trafficking,iron homeostasis,mitochondria,disease,reconstitution assay,mechanism,nuclear magnetic resonance,x ray crystallography
Development of high-performance, hyperfluorescence OLEDs for use in display applications and solid state lighting (HyperOLED)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Germany,France,United Kingdom,Luxembourg
Call: Thin, Organic and Large Area Electronics (H2020-ICT-2016-1, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 3556208.02
EU funding (EUR): 3556208.02
Participants: 5
Project status: CLOSED

The overall goal of the HyperOLED project is to develop materials and matching device architectures for high-performance, hyperfluorescence organic light emitting diodes (OLEDs) for use in display applications and solid state lighting. The innovative OLEDs will be realised by combining thermally activated delayed fluorescence (TADF) molecular hosts with novel shielded fluorescence emitters, targeting saturated blue emission of very high efficiency, especially at high-brightness levels. Further efficiency gains will be achieved through molecular alignment to enhance light outcoupling from the hyperfluorescence OLEDs. Using shielded emitters will enable simpler device structures to be used, keeping drive voltages low to be compatible with low voltage CMOS back plane electronics. This will enable demonstration of the concept’s feasibility for high-brightness, full-colour OLED microdisplays as one application example. To develop the hyperfluorescence OLEDs, the following scientific and technical objectives will be targeted: • Objective 1: Develop shielded emitters • Objective 2: Develop TADF hosts • Objective 3: Photo-physically characterise the shielded emitters and TADF hosts • Objective 4: Anisotropic molecular orientation for enhanced performance • Objective 5: Design and test prototype hyperfluorescence OLEDs • Objective 6: Fabricate and evaluate demonstration hyperfluorescence microdisplays To show the project’s overall goal has been achieved, multiple blue and white stack unit prototypes (2 x 2 mm² on 30x30mm glass substrates with ITO) will be integrated into a high-brightness microdisplay demonstrator (based on MICROOLED’s 0.38’’ WVGA CMOS backplane) and tested that demonstrate significant improvements in functionality, performance, manufacturability and reliability.

Keywords: hyperfluorescence,thermally activated delayed fluorescence,tadf,shielded emitters,optical anisotropy,microdisplays,oleds,oled stacks
Armenia Center for Translational Research on Chronic Neurodegenerative Disorders: A Neuroscience Initiative on Maintaining Healthy Brain Ageing (COBRAIN)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Germany,Germany,Armenia,Sweden
Call: Twinning (H2020-WIDESPREAD-2018-03, 2018)
Start date: 2019-10-01
End date: 2023-05-31
Duration (months): 44.0
Total project cost (EUR): 799508.75
EU funding (EUR): 799508.75
Participants: 4
Project status: SIGNED

Armenia Center for Translational Research on Chronic Neurodegenerative Disorders: A Neuroscience Initiative on Maintaining Healthy Brain Ageing COBRAIN Among its long-term objectives in science Yerevan State Medical University strives to establish a Brain Research Excellence Center for studying the prevention of chronic brain disorders and maintaining healthy ageing of the brain throughout lifespan. The elaborated comprehensive plan to achieve research excellence and sustain national competitiveness in brain research involves a number of necessary elements among them COBRAIN is the crucial starting point. The direct objective of COBRAIN is to enhance the research and innovation capacity of the University through strengthening the field of brain research with a special emphasis on neuroprotective cell-based and drug therapies of brain disorders. By getting closer to the expertise of Eberhard Karls University of Tuebingen and Lund University the project will address sub-objectives for establishing neuroscience research structure, investing in early stage researchers, broadening research career opportunities, building innovation capacity, increasing the visibility of the University. The COBRAIN leading partners will provide the crucial knowledge and skills to the University to be able to address drug delivery and to assess compound efficacy in comprehensive animal models of neurodegenerative disorders. COBRAIN is in line with the “WIDESPREAD-03-2018 TWINNING” specific challenges related to bridging the networking gaps between the institutions of associate countries and leading EU counterparts to improve the competitiveness of the research institutions with low performance and achieve a better balance in the quality of research between them. COBRAIN will boost the scientific collaboration activities of the University and advance its human resources and methodological capacities to build excellence and innovation in fundamental and translational neuroscience research.

Keywords: brain,translational research,neurodegeneration,neurotherapeutics,innovation,excellence
Dinoflagellate phytotoxins exploitation (Dinophyte)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Dinoflagellates are microalgae which produce a wide range of toxins. These toxins are mostly unknown (only 1% have been identified) but they have proven to be efficient in different market application: biopesticides, drug discovery and food safety testing. Biopesticides and drug discovery are seeking for new active compounds which may come from dinoflagellate toxins. Culture of dinoflagellates (and thus production of toxins) is not mastered by current technologies due to the extreme sensitivity to shearing forces of these algae. The current price of toxins isolated from dinoflagellates is very high (3 – 30 k€/ mg). Consequently, these toxins are poorly exploited as drug lead or biopesticides despite their renowned potential. PLANKTOVIE developed a disruptive patented technology (Soft mixer) which enable efficient dinoflagellate culture. A prototype has been developed and allows culture of dinoflagellate which are currently grown in static conditions due to their extreme shearing-forces sensitivity (and with very low production yield). This technology will be combined during the project with a carbonation membrane photobioreactor to increase the intake of CO2 in the culture. This should allow us to demonstrate the commercial production of 3 toxins isolated from dinoflagellates (production yields ranging from 3 to 24 g per year for a 200 L DINOPHYTE bioreactor). Targeted markets are promising and in progress: Biopesticides : 3.5 bn€ ; food safety : 12 bn€ ; drug discovery :100 bn€ (worldwide by 2020). PLANKTOVIE received encouraging support from actors of these markets. The aim of the SME instrument phase 1 is to demonstrate the industrial production capacity of DINOPHYTE and to provide indepth knowledge of the markets. Market analysis will be performed for the biopesticide, drug discovery and food safety markets. The results of market study and feasibility study will be used to build a comprehensive market access strategy and business plan.

Keywords: dinoflagellates,marine toxins,photobioreactor,toxicology,food safety,drug discovery,biopesticides