Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Research and Innovation Staff Exchange Network of European Data Scientists (NeEDS)

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,Belgium,Belgium,United States,Netherlands,United Kingdom,Chile,Denmark,United Kingdom,Denmark
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2018, 2018)
Start date: 2019-01-01
End date: 2024-10-31
Duration (months): 70.0
Total project cost (EUR): 1168400.0
EU funding (EUR): 1168400.0
Participants: 15
Project status: SIGNED

NeEDS responds to the massive scientific and technological challenges that the very rapidly growing field of Data Science has created for users and producers of data in Europe and world-wide. The challenges stem from the complexity of the data, the completely novel questions posed to data scientists, as well as the need of non-experts to visualize and interact with the knowledge extracted from data in order to aid data-driven decision-making. Companies and public sector bodies around Europe find they cannot build up the required capabilities quickly enough, and Europe is remarkably behind US academia in increasing Data Science capacity. NeEDS provides an integrated modelling and computing environment that facilitates data analysis and data visualization to enhance interaction. NeEDS brings together an excellent interdisciplinary research team that integrates expertise from three relevant academic disciplines, Mathematical Optimization, Visualization and Network Science, and is excellently placed to tackle the challenges. NeEDS develops mathematical models, yielding results which are interpretable, easy-to-visualize, and flexible enough to incorporate user knowledge from complex data. These models require the numerical resolution of computationally demanding Mixed Integer Nonlinear Programming formulations, and for this purpose NeEDS develops innovative mathematical optimization based heuristics. NeEDS consists of four academic beneficiaries, eight industrial beneficiaries (from industry sectors ranging from energy, retailing, insurance to banking, as well as national statistical offices), two academic partners and one industrial partner from five EU countries, USA and Latin America with strong and complementary expertise. With this composition, NeEDS is in a unique position to deliver cutting-edge multidisciplinary research to advance academic thinking on Data Science in Europe, and to improve the Data Science capabilities of industry and the public sector.

Keywords: mathematical optimization modeling,mixed integer nonlinear optimization,data science,business analytics,visualization,network science
Unravelling the thread: textile production in New Kingdom Egypt (EgYarn)

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: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-01-01
End date: 2022-12-31
Duration (months): 24.0
Total project cost (EUR): 219312.0
EU funding (EUR): 219312.0
Participants: 1
Project status: CLOSED

The EgYarn project will study the textile production of New Kingdom Egypt (1550-1070 BCE). It offers a remarkable opportunity to understand a largely unexplored sector of Ancient Egypt’s economy and society of Ancient Egypt, making use of outstanding finds of textile tools, textiles and written sources. The project will enable in-depth comprehension of the chaîne opératoire, identify the main protagonists of textile manufacture (women, men, slaves or private entrepreneurs) and show how domestic and non-domestic production interacted. It will reveal the place of New Kingdom textile practises with respect to Mediterranean and African Late Bronze Age traditions. Lastly, it will build a European collections database of the New Kingdom tools and textiles stored in European museums, bringing them back together again more than a century after their discovery. Textiles, tools (spindles, whorls, parts of looms) and fibres will be analysed in order to understand production mechanism, while archaeological contexts and textual sources will furnish precious data about the organisation of textile manufacture. Experimental archaeology will provide fundamental clues about ancient fibres, how tools were used and what qualities of thread and textile could be produced using these instruments. Key sites are Deir el-Medina and Gurob, but the project will also encompass textiles and tools from other New Kingdom sites now kept in European museums. Through the EgYarn project, I will reinforce my research methodology and strengthen my knowledge of textile analysis, becoming an all-around textile researcher, able to address every issue raised by archaeological textiles. The project will give me the opportunity to acquire expertise in teaching at an academic level and participating and organising seminars/workshops, developing my international network in both textile archaeology and Egyptology.

Keywords: textile production,textile tools,ancient egypt,new kingdom,deir el medina,gurob,economy,society
Synergies in the Acquisition of Syntactic Categories (SASC)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-03
End date: 2020-12-23
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

From a very young age, infants can infer the probable meaning of a new word from its syntactic context (e.g., she blicks –>blick is an action/verb). What is the learning mechanism that enables this link from specific syntactic contexts to different semantic categories? This project investigates the influence exerted by the content words already present in the mental lexicon (i.e., the semantic seed) along with the child’s distributional learning skills. In the first line of research, I investigate how preverbal infants can use known words (i.e. semantic seed) to help them categorize a new word as a noun or a verb. Inspection of cross-linguistic universals reveals that across the world’s languages, certain conceptual categories are often marked in morphosyntax (eg. object/action, animate/inanimate), while others not (e.g. color). The cause of the regularities might thus be that since morphosyntax helps infants to learn word meanings, only those morphosyntactic regularities that mark conceptual distinctions that are noticeable by infants would be selected for human languages (i.e. core knowledge). In Study 2 and 3, infants will be taught novel syntactic contexts (e.g., a new article) along with words they already know (semantic seed) to test if they can subsequently predict the meaning of a novel word that would appear in the same contexts (e.g., object). Study 2 will use distinctions already marked in French (i.e. object/action), and Study 3 will use distinctions that are not marked. I will test the hypothesis that core knowledge distinctions (i.e. animacy) are easier to map onto morphosyntactic markers than non-core knowledge distinctions (i.e. color). Taken together, these studies will demonstrate the presence of synergies between the lexicon and the syntax during language acquisition. This project will also give us insight on the distinctions that are easy to associate with morphosyntactic markers, which would explain the patterns in world's languages.

Keywords: language acquisition,learning mechanism,grammatical categories,conceptual development,semantic,syntax
Precision Cosmology with Galaxy and Microwave Background surveys (PiCOGAMBAS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: United States,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-02-01
End date: 2024-01-31
Duration (months): 36.0
Total project cost (EUR): 271732.8
EU funding (EUR): 271732.8
Participants: 2
Project status: SIGNED

Over the last 15 years, observations of the Cosmic Microwave Background, together with galaxy surveys, have established with great precision the pillars of the current concordance ΛCDM model of cosmology. This model requires a very early epoch of accelerated expansion referred to as inflation, during which quantum mechanical density fluctuations generated the seeds for the evolution of the large scale structures (LSS) we observe today. These grew under gravitational instability induced by the presence of dark matter, an hypothetical type of matter which has mass but interacts only gravitationally with standard matter. This process converted the primordial inflationary perturbations into clumpy million light-year sized clusters and galaxies. A few billion years ago, however, we entered a new era of accelerated expansion driven by yet another component permeating the universe: the dark energy. The dark matter, dark energy and inflation concepts parametrize, and they do so remarkably well, our lack of knowledge about the universe, without affecting our capability of making observable prediction on cosmological scales. Nevertheless, from the point of view of fundamental physics, they represent one of the biggest unknowns to pin down. The Standard Model (SM) of particle physics cannot easily accommodate the existence of the dark components or explain the inflationary mechanism, which occurred at energy scales well above the ones that can ever be tested in a laboratory. The goal of this project is to provide new insight into our understanding of the universe using observations of the reconstructed matter distribution in the universe in different wavelengths and analyze these data jointly to tackle few of the fundamental open questions in cosmology: the determination of the physics of the inflationary mechanism, the measurement of neutrino masses, the nature of dark matter, the nature and properties of dark energy, and the nature of the gravitational force.

Keywords: data analysis,euclid,simons observatory,numerical simulations
Development of a very rapid diagnostic test for malaria, based on break-through detection technology and new biomarkers of infection. (MalaDiag)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: France
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2014, 2014)
Start date: 2014-12-01
End date: 2015-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 2
Project status: CLOSED

The overall project objective is to develop and bring to market a very rapid diagnostic test (V-RDT) for malaria, based on break-through detection technology and particularly relevant biomarkers of infection. Our ambition is for our diagnostic device to become the reference technology in all malaria endemic areas. A key advantage of our approach lies in the combination of an innovative detection device with novel biomarkers that should significantly improve the quality of testing and the ability to implement mass testing campaigns. Our device is expected to overcome most shortcomings identified in devices currently on the market. The expected added value of our proposed diagnostic device to users is multiple including: • Rapidity: 1 minute vs. 15-20 minutes required for most current tests. This is a major competitive advantage for cross-sectional testing necessary for eradication efforts; • High sensitivity including quantitative evaluations (picomolar detection); • Several simultaneous measures to distinguish parasite species (P. falciparum / P. vivax); • Infection parameters (parasite density and antibody response): the comprehensive nature of our diagnostic read-outs provide information on prognosis and/or therapeutic response in addition to simple yes/no diagnoses; and • Functional and reliable in expected field conditions (tropical environments). .

Keywords: malaria,sensitive,quantitative,robust,eradication,mass testing
HINDERING DENDRITE GROWTH IN LITHIUM METAL BATTERIES (HIDDEN)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Future Battery Technologies
Action type: Research and Innovation actions
Countries involved: Cyprus,Switzerland,Switzerland,Finland,France,France,France
Call: Self-healing functionalities for long lasting battery cell chemistries (H2020-LC-BAT-2020-3, 2020)
Start date: 2020-09-01
End date: 2024-02-29
Duration (months): 42.0
Total project cost (EUR): 3993476.25
EU funding (EUR): 3993476.25
Participants: 8
Project status: SIGNED

The HIDDEN project develops self-healing processes to enhance the lifetime and to increase the energy density of Li-metal batteries 50 % above the current level achievable with current Li-ion batteries. The HIDDEN consortium develops materials and their processes to functional battery layers as scalable, industry compatible, manufacturing technologies enabling sustainable energy storage technology with longer battery lifetime and higher energy storage capacity for more efficient utilization of sustainable, carbon free energy production technologies. HIDDEN will develop novel self-healing thermotropic liquid crystalline electrolytes and piezoelectric separator technologies, investigate both technologies with protective additives, and apply multiscale modelling means for electrolyte design and analysis algorithm to monitor the dendrite growth. Technologies will be upscaled from laboratory to industrial manufacturing processes, tested and finally demonstrated by assembling battery cells with battery layers and the temperature control system. The project brings together a strong interdisciplinary consortium of seven partners, industry and research balanced, with state-of-the-art background in battery chemistry and physics, materials modelling and analysis, upscaling of novel technologies by printing and coating, as well as in industrial assembling of battery cells. This is complemented by external advisory board with representation of key industry end-users.

Keywords: lithium metal battery,self healing,dendrite,liquid crystal,machine learning,piezoelectric separator
Fatty liver Nano-/Antibody Therapy - (FAITH) (FAITH)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Physiology in Health, Disease and Ageing
Panel description: Organ and tissue physiology, comparative physiology, physiology of ageing, pathophysiology, interorgan and tissue communication, endocrinology, nutrition, metabolism, interaction with the microbiome, non-communicable diseases including cancer (and except disorders of the nervous system and immunity-related diseases)
Countries involved: Germany
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2020-08-01
End date: 2022-01-31
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Changes in life-style and nutrition have increased the incidence of obesity/overweight and metabolic syndrome resulting in a pathology called Non-alcoholic fatty liver disease (NAFLD). Currently, 130 million people in Western countries have NAFLD and this number is constantly increasing. A significant number of patients develop non-alcoholic steatohepatitis (NASH), fibrosis and subsequently liver cancer. At the same time no efficient therapeutics exist to treat NASH or NASH-liver cancer transition. We could demonstrate that infiltration and aggregation of platelets in the liver is the initial and the disease accompanying/maintaining process. Application of a conventional antiplatelet-therapy (APT) prevented or reverted established NASH in mice and men and abandoned subsequent liver cancer development in mouse models. Existing APT bear unwanted side effects and health issues. We identified the platelet-derived surface molecule GPIba as the critical mediator of platelet-derived immune activation, NASH and liver cancer. Using an antibody blocking the thrombin-binding site of GPIba, prevented established NASH, fibrosis and liver cancer without affecting hemostasis (Malehmir et al. 2019 Nature Medicine). The identified novel strategy differentiates itself from all other approaches to treat NASH due to some unique application opportunities: (I) no necessity to change patients’ nutritional habits, resulting in a high acceptance on the patient´s side, (II) no systemic immunosuppression of the patients´ immune system and (III) circumventing unwanted severe side effects of conventional APT by decoupling platelet-derived inflammatory function from platelet-derived aggregation/hemostasis. We intend (1) to produce nanobodies/antibodies that functionally block the human thrombin binding site of GPIba, (2) to confirm the therapeutic activity in preclinical NASH models carrying a humanized GPIba and (3) to lay the ground for necessary subsequent steps towards the market.

Keywords: nash,liver cancer,prevention,nanobody,antibody treatment,cancer and its biological basis,metabolism,biological basis of metabolism related disorders,organ physiology and pathophysiology
Dendron and Dendrimer Derived Thermally Activated Delayed Fluorescence Emitters for Solution-Processed Non-Doped Device (DENTADFE)

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: Chemistry
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-03-01
End date: 2019-02-28
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Energy security and climate change and two interwoven global societal issues that will continue to dominate the 21st century that are particular salient for fast developing world. Intense effort and activity are underway to find solutions to reduce power consumption and to mitigate global warming. One technology that can address both of these important challenges is energy-efficient lighting. In this context, considerable research efforts devoted towards the development of Organic Light-Emitting Diode (OLED)-based lighting and electronic devices, in part due to their much lower power consumption and greater efficiency compared to other lighting technologies. According to Transparent Mark Research the global OLED displays market is expected to reach $100 billion by 2050 from $4.9 billion in 2012. Europe has been at the forefront of OLED-based research with companies having invested significantly in this technology. Although, OLEDs are already commercialized, the devices were fabricated by expensive vacuum. To achieve a truly cost-effective product, devices must be fabricated via solution processing. Thus, dendritic molecules represents a good alternative to small molecules and extensively high molecular weight polymers. Since dendrimer simultaneously possesses the advantages of polymers and small molecules, i.e. low crystallization trend, high purity, well-defined chemical structure, and excellent film-forming properties. In this proposal, the applicant intends to fabricate non-doped devices using inexpensive solution-processing techniques coupled with bespoke TADF molecules designed for this purpose. Outcome of this research will establish a new strategy to achieve highly efficient OLED device at low cost. Apart from contributing to European academic excellence and enhancing Europe’s leading roll in organic semiconductor research, outputs from this research will help to make OLEDs accessible to the developing world by contributing to reducing their production cost.

Keywords: dendron,tadf,red emitter,oled,organic electronics
Breaking frontiers in plant reproduction: understanding the roles of AGPs and epigenetics regulating male-female crosstalk towards fertilization (EpiAGPs)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-01
End date: 2020-02-01
Duration (months): 24.0
Total project cost (EUR): 180277.2
EU funding (EUR): 180277.2
Participants: 1
Project status: CLOSED

“By 2050 the Earth will need to feed two billion more people. How can we achieve that without overwhelming the planet?” The question, raised back in 2009, demands quick action. Human life depends on plants, which feeds us, our livestock or fulfils our biofuel needs. Thus to feed this growing population, it will be necessary to double agricultural yields without increasing the amount of arable land. A fine knowledge of the fundamental molecular processes that finely regulate plant reproduction, will allow increasing crop productivity and high quality seed production in a sustainable manner by agricultural engineering, safeguarding the increase of arable land usage. EpiAGPs aims to provide new insights into the role of Arabinogalactan Proteins (AGPs), signalling molecules crucial for plant reproduction, and their signalling cascade, along with their modulation of/by epigenetic mechanisms. This will be achieved using a combination of genetic, proteomic and transcriptomic approaches in the plant Arabidopsis thaliana. Arabidopsis is an excellent model to study the reproductive process, as it shares a conserved developmental program with major seed-producing crop plants. EpiAGPs has great potential to contribute to Europe’s excellence and competitiveness in the world, being in line with the European Sustainable Development Program and with the Europes’ 2020 Strategy goals that is optimisation of food production processes and a lower-carbon impact to achieve sustainable growth. The Host laboratory and I will mutually benefit from EpiAGPs; bringing together two different molecular fields of study related with the same developmental process: sexual plant reproduction.

Keywords: arabinogalactan proteins,histone deacetylase hda19,signalling and epigenetics,plant reproduction,receptors,fertilization,pollen tube guidance,seed set formation,sugar signalling