Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Connect and align ELIXIR Nodes to deliver sustainable FAIR life-science data management services (ELIXIR-CONVERGE)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Development and infrastructures
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Germany,Estonia,Ireland,Italy,Italy,Italy,Italy,Israel,South Africa,Germany,Spain,Spain,Spain,Italy,Cyprus,Finland,Norway,Norway,Norway,Norway,Norway,Hungary,Hungary,Slovenia,Sweden,Sweden,Switzerland,Belgium,Greece,Greece,Greece,Poland,France,Czechia,Czechia,Czechia,Netherlands,Netherlands,Denmark,Denmark,United Kingdom,United Kingdom,United Kingdom,Luxembourg,Portugal
Call: Individual support to ESFRI and other world-class research infrastructures (H2020-INFRADEV-2019-2, 2019)
Start date: 2020-02-01
End date: 2023-07-31
Duration (months): 42.0
Total project cost (EUR): 9821915.04
EU funding (EUR): 9800000.0
Participants: 59
Project status: SIGNED

The diversity, complexity and volume, as well as privacy and regulatory considerations, necessitate a collaborative and federated approach to life-science data. For scientists to find and share data across Europe and world-wide, ELIXIR needs to continuously develop and connect its services. The international ecosystem provided by ELIXIR – with 220 institutes in 23 Nodes, connecting hundreds of bioinformatics services – is globally unique and a competitive advantage for European research. Through our national Nodes ELIXIR has the geographical spread, service portfolio and expertise to fulfil our ambition that every European project uses FAIR data based on common standards, tools and services. The initial operational phase of ELIXIR, supported by the H2020 ELIXIR-EXCELERATE project, focussed on the coordination and delivery of bioinformatics services from national Nodes. This lay the foundation for a coordinated European infrastructure. ELIXIR-CONVERGE will build on these achievements to deliver another critical component: the provisioning, across Europe, of distributed local support for data management based on a toolkit for researchers that enables lifecycle management for their research data according to international standards. ELIXIR-CONVERGE will develop the national operations of such a distributed research infrastructure to drive good data management, reproducibility and reuse in a heterogeneous funding landscape. Over 36 months and with partners from our 23 Nodes, ELIXIR-CONVERGE takes the next step to realise a European data federation where interconnected national operations, strategically managed via national research infrastructure roadmaps, allow users to extract knowledge from life science’s large, diverse and distributed datasets. By connecting ELIXIR Nodes to provide FAIR data management as a service, ELIXIR-CONVERGE will build national capacity and create a blueprint for operating sustainable Nodes in distributed research infrastructures.

Keywords: data management plan,fair,data stewardship,long term sustainability,research infrastructure,impact assessment,life sciences
In Silico World: Lowering barriers to ubiquitous adoption of In Silico Trials (ISW)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Methods and data
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Italy,Italy,Belgium,Belgium,Hungary,Belgium,Poland,Netherlands,Netherlands,Netherlands
Call: Accelerating the uptake of computer simulations for testing medicines and medical devices (H2020-SC1-DTH-2020-1, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 7646012.25
EU funding (EUR): 7646012.25
Participants: 16
Project status: SIGNED

The overall aim of the In Silico World project is to accelerate the uptake of modelling and simulation technologies for the development and regulatory assessment of all kind of medical products. This will be achieved by supporting the trajectory of a number of In Silico Trials solutions through development, validation, regulatory approval, optimisation, and commercial exploitation. These solutions, already developed to different stages, target different medical specialities (endocrinology, orthopaedics, infectiology, neurology, oncology, cardiology), different diseases (osteoporosis, dynapenia-sarcopenia, tuberculosis, multiple sclerosis, mammary carcinoma, arterial stenosis, etc.), and different types of medical products (medicinal products, medical devices, and Advanced Therapeutic Medicinal Products). In parallel the consortium will work with a large multi-stakeholder advisory board to form a community of Practice around In Silico Trials, where academics, industry experts, regulators, clinicians, and patients can develop consensus around Good modelling Practices. As the solutions under development move toward their commercial exploitation, the ISW consortium will make available to the Community of Practice a number of resources (technologies, validation data, first in kind regulatory decisions, technical standardisation plans, good modelling practices, scalability and efficiency-improving solutions, exploitation business models, etc.) that will permanently lower barriers to adoption for any future development.

Keywords: in silico trials,virtual physiological human,regulatory science
Foot Transport for a Smart Mobility (FOOT TRANSPORT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-08-01
End date: 2018-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Foot Analytics is a pioneer in the field of offline commercial analytics based on passenger’s smartphone identification, tracking (WiFi tracking technology) and connection, through a powerful algorithm of intelligence behaviour analysis. It is a big data technology (based on the capture and processing of millions of data, in real time) oriented to the real world comparable in terms of capabilities to what the homologous technologies of the online world do (count visits, length of a visit, etc..). Taking advantage of the growing Smart Transport market, we decided to apply our technology to the Transpor segment and launch a “plug&play” solution, that offers a reliable and continuous passengers behaviour analysis on any public means of transport. Foot Transport aims to collect and provide quantitative and qualitative data regarding passenger’s mobility to optimize the transport system, offering a 360º solution not available yet in the market. Thanks to our solution, transport operators and smart cities will be able to analyse passengers profiles and understand how they use public transport to improve the Urban Mobility Planning, optimize the fleet usage, and reduce operational costs while offering a higher quality service for citizens. The global Smart Transportation market is to reach 235.13€ Bn by 2022with UK, France and Denmark are leading the growth in Europe. We will enter the market through Spain, UK and France, expecting a ROI of 1,89 by the 5th year of commercialization.
Cultures of Occupation in Twentieth-century Asia (COTCA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The study of the human past
Panel description: Archaeology, history and memory
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-07-01
End date: 2022-06-30
Duration (months): 72.0
Total project cost (EUR): 1885268.0
EU funding (EUR): 1885268.0
Participants: 1
Project status: CLOSED

How has foreign occupation shaped culture? What has been the lasting cultural legacy of foreign occupation in those societies where it represented the usual state of affairs for much of the modern era? These are key questions which, in light of ongoing cases of occupation around the world, remain crucial in the 21st century. Cultures of Occupation in Twentieth-century Asia (COTCA) will answer these questions by analysing how occupation―be it under colonial, wartime or Cold War powers―gave rise to unique visual, auditory and spatial regimes in East and Southeast Asia. The core objective of this important project is to produce a paradigm shift in the study of occupation, and to challenge the 'collaboration'/'resistance' dichotomy which has defined the field thus far. It will adopt a transnational, intertextual and comparative approach to the study of cultural expression produced under occupation from the 1930s to the 1970s. It will also break new methodological ground by drawing on and contributing to recent developments in visual, auditory and spatial history as a means of highlighting intersections and cultural convergences across different types of occupation. By doing so, COTCA will, for the first time, determine what occupation looked, sounded and felt like in twentieth-century Asia. The COTCA team will consist of the PI, 2 postdoctoral researchers and 3 PhD students, and will run along 3 streams: (i) Representations of occupation; (ii) sounds of occupation; and (iii) spaces of occupation. Case studies based on hitherto rarely examined examples will be undertaken in each stream. These include: A visual history of Japanese-occupied China; soundscapes of the US naval bases in the Philippines; and, spaces of occupation in late-colonial Malaya. COTCA will also build a Digital Archive which will enable researchers to trace the development of narratives, tropes and motifs common to 'occupation' cultural expression in Asia across national and temporal borders.

Keywords: occupation,cultural expression,east asia,southeast asia
Disentangling anthropogenic and natural causes for global coastal hypoxia (Coastal Hypoxia)

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: Environment and Geosciences
Countries involved: Netherlands
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-06-01
End date: 2017-05-31
Duration (months): 24.0
Total project cost (EUR): 177598.8
EU funding (EUR): 177598.8
Participants: 1
Project status: CLOSED

Dissolved oxygen is an essential substance for a large portion of marine biota. Hypoxia, the reduction of dissolved oxygen concentrations to levels which are detrimental to the health of aerobic organisms, is currently expanding throughout the world's coastal areas, creating a negative impact from both the environmental (e.g. reduced biodiversity, reduced population growth, formation of 'dead zones') and economical (loss of fisheries) perspectives. Through the development and usage of local to global scale biogeochemical models, this research addresses past, present, and future formation of hypoxic 'dead zones' as a result of human-induced nutrient loadings and climate change. These topics are relevant for both industry and society, as they include the effects of changing river nutrient export to coastal marine ecosystems on the increasing frequency, extent, and duration of hypoxia. These studies will serve to further constrain nutrient reduction strategies and their effect on the amelioration of hypoxia in various coastal environments.
Effect of ALlopurinol in addition to hypothermia for hypoxic-ischemic Brain Injury on Neurocognitive Outcome (ALBINO)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Estonia,Italy,Germany,Spain,Switzerland,Norway,Belgium,Finland,Poland,Czechia,Netherlands,Netherlands,Portugal
Call: Establishing effectiveness of health care interventions in the paediatric population (H2020-PHC-2015-two-stage, 2015)
Start date: 2016-01-01
End date: 2025-06-30
Duration (months): 114.0
Total project cost (EUR): 6307599.5
EU funding (EUR): 5994030.0
Participants: 18
Project status: SIGNED

Neonatal hypoxic-ischemic encephalopathy (HIE) is a major cause of death or long-term disability in infants born at term in the western world, affecting about 1-4 per 1.000 life births and consequently about 5-20.000 infants per year in Europe. Hypothermic treatment became the only established therapy to improve outcome after perinatal hypoxic-ischemic insults. Despite hypothermia and neonatal intensive care, 45-50% of affected children die or suffer from long-term neurodevelopmental impairment. Additional neuroprotective interventions, beside hypothermia, are warranted to further improve their outcome. Allopurinol is a xanthine oxidase inhibitor and reduces the production of oxygen radicals and brain damage in experimental, animal, and early human studies of ischemia and reperfusion. This project aims to evaluate the efficacy and safety of allopurinol administered immediately after birth to near-term infants with HIE in addition to hypothermic treatment. Beyond this primary objective, the project will provide information on the effect of hypothermia on pharmacokinetics of drugs with a similar metabolism as allopurinol in neonates. Furthermore it will give the opportunity to further develop and validate biomarkers for neonatal brain injury using advanced magnetic resonance imaging, biochemistry, and electroencephalogramms, which will then be available for future studies testing neuroprotective interventions. Finally, this trial will extend our knowledge about incidence of and risk factors for perinatal asphyxia and HIE possibly enabling generation of more preventive strategies for the future.

Keywords: off patent medicine
Integrated multi-vector management system for Energy isLANDs (E-LAND)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: A single, smart European electricity grid
Action type: Innovation actions
Countries involved: Spain,Germany,Spain,Norway,Romania,Switzerland,Romania,Norway,Greece,Finland,Denmark
Call: Integrated local energy systems (Energy islands) (H2020-LC-SC3-2018-ES-SCC, 2018)
Start date: 2018-12-01
End date: 2022-11-30
Duration (months): 48.0
Total project cost (EUR): 5900942.42
EU funding (EUR): 5354345.0
Participants: 13
Project status: CLOSED

Efficient, reliable and sustainable delivery of energy is critical to the health and welfare of all people. Providing a low-carbon, climate resilient energy supply is a global challenge, which is even more demanding in remote areas. With increasing penetration of renewable energy resources (RES), and high expectations from end-users for energy reliability, connectivity and utilisation of available energy resources needs reconsideration. Thus, technologically smart and economically viable solutions for extending the lifetime of energy infrastructure will be in high demand. Incorporating more distributed RES and storage assets at the edges of the electricity grid, and optimally balancing these assets with other energy vectors, while extending the lifetime of current infrastructures will not only be economically viable, but at the same time decrease the level of carbonisation in local energy systems. E-LAND consortium believes that there are still major challenges in connection to technology, society and economics to overcome. In the E-LAND project, the main objective is to tackle these challenges and support the decarbonisation of energy islands by developing a E-LAND Toolbox for Multi-Energy Islands including tools and methods addressing the business, society and technology challenges. Project is going to implement the toolbox and demonstrate the viability and impact of the tools and methods created in 3 real life pilots in Europe and through simulations with 2 cases in India. Pilots have different geography, demography, sociography and maturity in terms of community and end-user activities, implementation of different energy vectors including storage, amount of renewables in the local energy mix and variety of loads that call for efficient and intelligent management system. To further expand the exploitation of E-LAND results, the Toolbox will be modular and the consortium will develop replication guidelines for utilising the tools in replication sites.

Keywords: multi vector energy management,energy storage,energy community,community building,end user involvement,business,business models,decarbonisation,energy efficiency,energy management system
Morphologically-informed representations for natural language processing (MorphIRe)

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: Information Science and Engineering
Countries involved: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-04-01
End date: 2021-03-31
Duration (months): 24.0
Total project cost (EUR): 207312.0
EU funding (EUR): 207312.0
Participants: 1
Project status: CLOSED

The morphological structure of a word plays an important role in determining its function and meaning, yet it is often disregarded by current machine learning models aimed at natural language processing (NLP). State-of-the-art NLP models typically rely on word-level or character-level representations. This arguably works well for English, the dominant language in NLP research, since it is morphologically simple, but poses a challenge for morphologically-rich languages like Basque, Estonian, or Kurdish. As a consequence, the current state of the art is biased against these languages, preventing us from building better NLP technology for them. The MorphIRe project aims to learn morphologically-informed representations for NLP. It proposes to explore the fine-grained morphological analysis of word forms in order to learn representations that are grounded in morphemes, the smallest grammatical unit of language. Using these representations as input to NLP models is expected to improve their performance particularly for morphologically-rich languages. To this end, MorphIRe will make use of deep learning with neural network architectures both to learn the representations and to apply them to state-of-the-art models for a variety of NLP tasks, such as language modelling and dependency parsing. The impact of MorphIRe is twofold: 1) Learning input representations that can be used in a variety of models encourages reusability of the results and promises that improvements will carry over to future NLP research. 2) Through improving the state of the art on morphologically-rich languages, speakers of these languages will ultimately benefit from better NLP technology. This way, MorphIRe has the potential for making both a scientific and a societal impact.

Keywords: natural language processing,morphology,representation learning,cross lingual learning
New challenges for Urban Engineering Seismology (URBASIS)

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: Environment and Geosciences
Countries involved: Italy,Germany,Germany,Italy,Switzerland,Greece,Switzerland,France,France,France,France,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2018-11-01
End date: 2023-04-30
Duration (months): 54.0
Total project cost (EUR): 4066113.6
EU funding (EUR): 4066113.6
Participants: 15
Project status: SIGNED

Recent devastating earthquakes and induced seismicity near infrastructures must become the centrepiece of analysis in reducing risk and increasing resilience, facing up to global urban population growth in the coming decades and the concentration of wealth in cities. The prediction of seismic ground motion and response of structures are key issues in reduction of seismic urban risk. There is therefore a demand for highly trained scientists with a broad understanding of engineering seismology and earthquake engineering, skills being essential in academic research, in private companies with activities related to risk mitigation and energy facilities and for policy makers. The URBASIS project aims to provide a multi-disciplinary training platform for ESR in order to develop their individual project and to promote their entrepreneurship and their employability toward the academic, private and insurance or decision-making sector. High-quality supervision of the ESR will be ensured through the international recognition of the URBASIS partners. A comprehensive set of transferable skills will be developed through innovative and interdisciplinary joint research projects between academic and non-academic partners on the prediction of seismic hazard in urban areas considering low probability/high consequences events and induced seismicity related to the exploitation of energy resources; the seismic ground motion prediction within the non-free-field urban area; the coupling between ground motion and structures/infrastructures responses for natural and induced seismicity including time dependency vulnerability; and the systemic risk of interconnected urban systems. URBASIS will create a lasting collaboration for the establishment of a European network of academic and non-academic experts, improving the interface with decision-makers. Advanced capacities in modelling and predicting seismic impact in cities will be got, putting the urban environment as the centrepiece of URBASIS.

Keywords: urban seismology,induced seismicity,seismic risk,end users