Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The Others in Me: the Impact of Others on Self-Conscious Emotions and Self-Understanding (The Others in Me)

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: Social Sciences and Humanities
Countries involved: Ireland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 196590.72
EU funding (EUR): 196590.72
Participants: 1
Project status: CLOSED

This research action at University College Cork (UCC) aims at shedding light on the intersection of 2 central human capacities: self-consciousness and sociality. The first concerns how humans relate to themselves, the second, how they relate to others. The overarching question that this project investigates, from a philosophical perspective, is how these seemingly distinct capacities are related to each other, given what is known in psychology. To answer it, the project focuses on a class of emotions that epitomize the intersection of these capacities: self-conscious emotions induced by others ("hetero-induced"). These emotions offer key insights into what it means for persons to be social, since in them we feel that others impact who we are. The project is divided in 2 parts, devoted, respectively, to how self-consciousness shapes sociality and how sociality shapes self-consciousness. This action has the following objectives. PART 1: Primary objective: to clarify what our capacity to experience such emotions reveals about the social nature of persons. Secondary objectives: to clarify the differences of "depth" among such emotions, their impact on behaviour and evolutionary relevance. PART 2: Primary objective: to illuminate the kind of self-understanding afforded by hetero-induced self-conscious emotions. Secondary objectives: to establish which dimension of the self is at stake in such emotions, which sort of insights we can gain through them and how relevant and reliable are these insights. This action combines my expertise in the philosophy of emotion with the expertise of my host environment at UCC in social ontology and moral psychology. The work programme includes dissemination and communication activities such as journal articles and an international workshop linked to a collective volume. The research and training at UCC will enable me to restart and enhance my career by adding a secondary specialization in social ontology, greatly fostering my prospects.

Keywords: philosophy of emotion,self conscious emotions,hetero induced self conscious emotions,shame,pride,envy,self esteem,human sociality,social ontology,self understanding,self knowledge
directed EVOlution in DROPS (EVOdrops)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany,Germany,Germany,Germany,Hong Kong,Switzerland,Belgium,Lithuania,Poland,France,France,United States,United Kingdom,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2018-10-01
End date: 2023-09-30
Duration (months): 60.0
Total project cost (EUR): 3452422.98
EU funding (EUR): 3452422.98
Participants: 21
Project status: SIGNED

Natural evolution is a powerful process that has given rise to the functionally diverse set of proteins present in all living systems. Repetitive rounds of mutation, selection and amplification have optimised nature’s catalysts, the enzymes, to perform an enormous range of different reactions. However, natural evolution has driven the optimisation of enzymes subjected to living functions of microorganisms, according to ill-defined and fluctuating external conditions and is not suitable for industrial processes since it lacks of control of selection pressure. In EVOdrops, we will use directed evolution to overcome these limitations. It is a synthetic, man-made approach of evolution, aiming at improving living systems based on predefined needs, controlling the external selection pressure. While natural evolution took billions of years to optimise macromolecules, directed evolution – to be efficient in an industrial process – requires both the generation of genetic diversity and ultra-high throughput screening capabilities to recover the variants of interest. We will develop and optimise these tools using the ground-breaking potential of droplet-based microfluidics for high-throughput experimentation and the fine control of gene library construction. EVOdrops, a European training network, will bring together the leading research scientists, laboratories and industries in Europe with outstanding expertise in protein engineering and microfluidics and 13 early stage researchers. We will offer an extensive multi- and interdisciplinary training to ensure that they can solve these urgent and unmet challenges in biotechnology and biomedicine. We will use a multidisciplinary approach combining soft matter, microfluidics and chemical biology to design solutions for the selection of new enzymes of industrial and therapeutic interest. In the future, our approaches can be generalised to challenges involving high-throughput miniaturised biochemical or cell-based assays.

Keywords: droplet microfluidics,directed evolution,microsystems,large libraries,protein engineering
Cell biology of myelin wrapping, plasticity and turnover (Myelination)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-08-01
End date: 2020-12-31
Duration (months): 65.0
Total project cost (EUR): 1872500.0
EU funding (EUR): 1392195.02
Participants: 2
Project status: CLOSED

The myelin sheath is a plasma membrane extension that is laid down in regular spaced segments along axons of the nervous system. In the central nervous system it is formed by oligodendrocytes that spirally wrap their plasma membrane around axons to generate a highly abundant, tightly packed stack of membranes with unique structural properties. Previously, myelin has been regarded as an inert and purely insulating membrane, but it now appears that myelin is metabolically active, providing metabolic support to the underlying axon and participating in information processing by modulating velocity and synchronicity of nerve impulses in neuronal networks. In addition, myelination is not limited to the period of early post-natal development, but continuous into adulthood where it appears to be regulated by neuronal stimuli. This paradigm shift should be fuelled by new knowledge about myelin biology. Here, we plan to fill this gap by addressing the molecular basis of myelin growth, plasticity and remodelling. We will determine the factors that determine whether and to what extent an axon will be myelinated or not, the forces that drive myelin around the axon, the structural basis of myelin plasticity and the mechanisms of myelin turnover in the adult. We will test the hypothesis that microglia actively participate in myelin turnover by taking up myelin fragments that pinch off from the myelin sheath. To realize these aims we plan to pursue an integrative and multidisciplinary approach by bringing together genetics, biochemistry, proteomics and imaging in various model systems. The innovation arises from the combination of high-resolution imaging with molecular approaches in different cell types to obtain a unifying mechanistic understanding of myelin formation, maintenance and degradation. If successful, the project would not only explain how myelin is generated during brain development, but also give insight into how myelin plasticity could fine-tune neuronal networks.

Keywords: myelin,glia,oligodendrocytes,axons,membranes
Mushroom and biogas production in a circular economy (MUBIC)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Netherlands,Denmark
Call: Boosting the potential of small businesses in the areas of climate action, environment, resource efficiency and raw materials (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-08-01
End date: 2020-01-31
Duration (months): 30.0
Total project cost (EUR): 5466532.5
EU funding (EUR): 2499999.0
Participants: 2
Project status: CLOSED

The problems: Biogas is important for the European renewable energy transition as it turns waste streams such as manure and sewage into biogas, and provides CO2-neutral energy. But the efficiency is low because the methane producing bacteria in the biogas digester have trouble accessing the energy locked in fibrous materials such as cellulose and lignin. This fraction passes through the biogas plant unused and is incinerated or spread on agricultural land. At the same time, mushroom producers must buy substrate to grow mushrooms and pay to discard it after use. The solution: The AST technology creates a resource cycle between biogas production and mushroom production, reducing costs of mushroom production by up to 50% and utilizing also the fibrous fraction in biogas plants. The innovation is a technology where the fibrous fraction from biogas is used for growing mushrooms, and then returned to the biogas plant, offering improved economy as well as significant environmental benefits to both the mushroom and biogas industry. The project: The AST concept has already been proven in pilot scale, and the next step is a full scale demonstration plant. In this project two AST plants are scaled up and integrated with mushroom production facilities and a biogas plant, respectively. It is essential for the market introduction and thus the commercial success to demonstrate such commercial operation for customers to invest in such plants. Impact: The project will increase the competitiveness of the European mushroom industry currently under strong pressure from China, as well as the biogas industry, suffering from high operational costs. The market: Biogas plants are rapidly being established to support the renewable energy transition with more than 15,000 plants currently in operation in Europe. The European mushroom industry uses about 3 m tons of substrate annually and grows with 10%. The market for the innovation is large, has a growing trend and strong drivers.

Keywords: degasified biomass conversion to substrate,circular economy,waste to energy to food,sustainable raw materials,environment,resources and sustainability
ADVANced engineering of C1 metabolism towards METHanol-based sustainable biotechnology (ADVANC1-METH)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-11-01
End date: 2023-10-31
Duration (months): 24.0
Total project cost (EUR): 187572.48
EU funding (EUR): 187572.48
Participants: 1
Project status: SIGNED

Urgent global problems, including climate change and fossil-fuel dependence, force the EU to develop sustainable bio-basedchemical production platforms. However, current biotechnological feedstocks, such as plant-based sugars, suffer from serious limitations in terms of availability and sustainability. A very promising alternativeis the one-carbon (C1) feedstock methanol, which canbe produced in a sustainable manner from waste, or CO2 and renewable hydrogen. So far, the conversion of methanol to products is limited by the lack of suitable, efficientmicrobial cell factories. Hence, this project will engineer a highly efficient, synthetic methanol assimilation pathway into the well-known industrial host bacterium Escherichia coli. First, modular optimization will be performed for the bottleneck steps of enzymatic methanol conversion in the cell. Then, the overall strain performance will be optimized by rational, systems-wide targeting of the metabolic network and fast growing strains on methanol will be selected and studied. To achieve the objectives an innovative high-throughput genome editing approach will be employed. ADVANC1-METH is expected to yield a bacterial platform strain for efficient conversion of methanol to products, and industrially relevant IP and scientific knowledge will be effectively disseminated. The ADVANC1-METH project will aid the applicant to further extend his knowledge in the interdisciplinary fields of synthetic biology, bioinformatics, genetic and metabolic engineering, and complement his academic skills to fulfil the ambition to become an independent researcher. The implementation and training will be hosted at an institute with key expertise in bacterial and metabolic engineering. Within the ADVANC1-METH project videos and a board game will be developed to increase public engagement and knowledge on sustainable and methanol-based biotechnology, which are essential to realize a sustainable bio-based society.

Keywords: synthetic biology,metabolic engineering,directed evolution,genetic engineering,biotechnology
ASTronomy EuROpean Infrared Detection (ASTEROID)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling European competitiveness, non-dependence and innovation of the European space sector
Action type: Research and Innovation actions
Countries involved: Austria,Spain,France,France,France
Call: Technologies for European non-dependence and competitiveness (H2020-COMPET-2016, 2016)
Start date: 2017-05-01
End date: 2021-11-30
Duration (months): 55.0
Total project cost (EUR): 4995493.75
EU funding (EUR): 4995493.5
Participants: 5
Project status: CLOSED

Large infrared (IR) imagers in the NIR to VLWIR wavelength ranges are critical requirements for Earth observation, and Science and Astronomy missions. They provide information not available in the visible wavelength range like, for example, object temperature or chemical composition. The technology available in Europe today allows for detectors with around 1 Mega pixel to be manufactured. It is not able to produce the 4 Megapixel detectors necessary for future missions. Europe needs to become non-dependent for the procurement of these types of detectors. It is the goal of ASTEROID to develop the technology that will make Europe non-dependent for large IR detectors. The technology to be developed is based on HgCdTe detection layers grown on CdZnTe substrates and on large dimensions Si Read Out Integrated Circuits (ROIC). By adjusting its composition, the use of HgCdTe detection layers makes it possible to address all the wavelengths required, from visible to VLWIR wavelengths. ASTEROID will use the contributions from 6 partners in 5 different fields to develop the building blocks for large IR detectors: • ROIC processing: EVG and Sofradir • HgCdTe and CdZnTe processing: CEA-LETI and Sofradir • Hybridization of the ROIC and detection layers: Sofradir • Thermo-Mechanical Modeling: ADDL • Electro-optic and connectivity characterization: IFAE and CEA-IRFU

Keywords: infrared imaging,science application,earth observation,defence,mercury cadmium telluride,focal plane array,cooled detector,megapixel
Democratized Cryo Electron Microscopy Image System (DeCEMIS)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Spain,Czechia,Netherlands,United Kingdom
Call: Fast Track to Innovation (FTI) (H2020-EIC-FTI-2018-2020, 2020)
Start date: 2021-03-01
End date: 2023-11-30
Duration (months): 33.0
Total project cost (EUR): 3449222.5
EU funding (EUR): 2614197.88
Participants: 4
Project status: SIGNED

DeCEMIS will bring to full technical maturity and commercial readiness the world’s first low energy detection system optimized for Cryo Electron Microscopy (CryoEM). CryoEM is an emerging and key enabling technology for reliable and cost-effective structural molecular analysis. The DeCEMIS FTI project will give more users world-wide access to CryoEM, leading to the development of new drugs and vaccines in Life Sciences and next generation of solar cells, batteries and catalysts in Material Sciences. CryoEM is becoming the gold standard for molecular structural analysis. Compared to alternative existing structural methods (e.g. X-ray crystallography or Nuclear Magnetic Resonance), CryoEM offers higher analysis flexibility and accuracy, particularly for heterogenous and radiation sensitive samples such as proteins and polymers. Among other achievements, CryoEM recently determined the first ever molecular structure of the COVID19 spike protein, providing key information for development of vaccines. Today, high-quality CryoEM structures are most commonly obtained using high energy, 300 keV microscopes, which due to their complexity and cost are accessible to only a limited number of research laboratories worldwide. Our innovative, direct detection Swift camera, based around a high-speed, wafer-scale CMOS image sensor, will enable high-quality molecular structure determination using less expensive 100keV CryoEM microscopes at a competitive price-to-performance ratio. By maturing our prototype for commercialization, the DeCEMIS project will pave the way for a new series of more affordable 100 keV Transmission Electron Microscopes with accessible, high-quality detection, aimed at making cryoEM available to more scientists. Commercialisation of the Swift direct detection camera will accelerate democratization of CryoEM for more applications while realizing large savings potential for CryoEM users.

Keywords: cryo electron microscopy,transmission electron microscopy,complementary metal oxide semiconductor cmos,cmos imaging sensors,microscopy detection systems,structural biology,materials science
Qualitative and Quantitative Social Science: Unifying the Logic of Causal Inference? (QUALITY)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Netherlands,United Kingdom
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-07-01
End date: 2022-12-31
Duration (months): 66.0
Total project cost (EUR): 1499927.51
EU funding (EUR): 1191173.76
Participants: 2
Project status: SIGNED

Good public policy should make society healthier, happier, safer, and more productive. Social scientists can help: they can look for the causes that promote or prevent these outcomes. Some do this by building models, which they test against large datasets using statistical tools. Others use non-formal tools, applied to a small number of cases: tracing processes, comparing cases, interviewing participants, writing ethnographies. Policymakers can then try to weigh up all this 'quantitative' and 'qualitative' evidence in order to judge the likely effects of a policy. There are established ways to weigh up the evidence from multiple quantitative studies, and for organizing the evidence from multiple qualitative studies. There are also excellent research designs that yield both quantitative and qualitative evidence. However, it's currently unclear how to weigh up the evidence from multiple qualitative studies, either on their own or together with quantitative studies. For example, how should one judge the efficacy of a policy when the findings from quantitative studies contradict the findings from qualitative ones? This poses a momentous problem: it exposes one's causal judgements to an increased risk of error, as it does any policies based upon these judgements. QUALITY aims to solve this problem by bringing together cutting-edge work in epistemology with the expertise of leading social scientists. It will analyse some prominent qualitative studies in sociology and political science, and it will contrast them with some prominent quantitative studies based on econometrics. QUALITY will then determine whether there is, despite their differences, a handful of basic heuristics for causal inference that underlie both types of approach. If there is, QUALITY will use these heuristics to develop a collection of templates for weighing up quantitative and qualitative evidence.
IdeNtity verifiCatiOn with privacy-preservinG credeNtIals for anonymous access To Online services (INCOGNITO)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain,Spain,Cyprus,Greece,Romania,Greece,Greece
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2018, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 1173000.0
EU funding (EUR): 1173000.0
Participants: 7
Project status: SIGNED

The overarching goal of INCOGNITO is to combine state-of-the-art technologies in a platform that will allow users to easily understand what is needed to access online services with respect to their privacy and be able to prove specific attributes of their identity or their whole identity. We build on top of the framework that is being developed under the ReCRED project where we use advanced mobile software in order to convert online and physical identity proofs into validated and cryptographically strong proofs of identities that can be used for getting access to Online Services. INCOGNITO has the following objectives: 1.Design and implement an infrastructure that supports qualified anonymity (QA) by leveraging state of the art cryptographic credentials schemes as well as Federated Login solutions. 2.Design and implement an Identity Acquisition and Management platform that will allow the user to quickly and securely acquire identity attributes from Physical ID documents and Online Identities. 3.Design and implement an advanced UI/UX AI-based assistant that will guide and inform the user about aspects of his identity management as well as possible actions to take. 4.Evaluate the results of the project through two pilot activities. To achieve these objectives an inter-sectorial and interdisciplinary secondment program for Experienced and Early Stage Researchers that fosters knowledge exchange is proposed. Academic partners will offer their expertise on online identity acquisition and management, machine-learning algorithms and user experience assessment. Industry partners will offer their expertise on state-of-the-art IT security technologies, production-grade development processes, exposure to industrial research environment and relevant business issues and data.

Keywords: digital identity,privacy,anonymity