Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Smart Cloud Integrated Development Environment supporting the full-stack implementation, composition and deployment of data-centered services and applications in the cloud (SmartCLIDE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Spain,Germany,Germany,Greece,Luxembourg,United Kingdom,Portugal
Call: Cloud Computing (H2020-ICT-2019-2, 2019)
Start date: 2020-01-01
End date: 2023-03-31
Duration (months): 39.0
Total project cost (EUR): 4935381.25
EU funding (EUR): 4935381.25
Participants: 11
Project status: SIGNED

The main objective of SmartCLIDE is to propose a radically new smart cloud-native development environment, based on the coding-by-demonstration principle, that will support creators of cloud services in the discovery, creation, composition, testing and deployment of full-stack data-centred services and applications in the cloud. SmartCLIDE will provide high levels of abstraction at all stages (development, testing, deployment and run-time) as well as self-discovery of IaaS and SaaS Services. SmartCLIDE will provide several categories of abstractions: at development stage, SmartCLIDE will provide abstractions on data transformations or processing; at testing stage, mechanisms to visualize flow and status or artefacts to automatically test the expected behaviour; at deployment stage, abstractions of physical and virtual resources; or at run-time, mechanisms to monitor the performance and operation of the service. The cloud nature of the environment will enable collaboration between different stakeholders, and the self-discovery of IaaS and SaaS services and the high levels of abstraction will facilitate the composition and deployment of new services to non-technical staff (with no previous experience on programming or on the administration of systems and infrastructure). Equally, hiding the complexity of the infrastructure, and adding intelligence to this layer, will allow to select the most adequate infrastructure services in each moment. SmartCLIDE will allow SMEs and Public Administration to boost the adoption of Cloud and Big Data solutions, being validated at one solution oriented to Public Administration (Social Security System) and three different IoT and Big Data products of software development SMEs within the consortium.

Keywords: cloud services,service oriented architectures,artificial intelligence,cloud ide
Cell Membrane Training to Advance Industrial Processes (MemTrain)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Doctoral programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: United Kingdom
Call: Co-funding of regional, national and international programmes (H2020-MSCA-COFUND-2018, 2018)
Start date: 2019-05-01
End date: 2024-04-30
Duration (months): 60.0
Total project cost (EUR): 1952640.0
EU funding (EUR): 976320.0
Participants: 1
Project status: SIGNED

All organisms, from bacteria to humans are made of cells surrounded by membranes, which define them, separating them from their environment. Membranes precisely control what enters and leaves cells and how cells interact with each other and molecules in their environment. All these processes are fundamental to life; by harnessing and understanding them, we have the potential to influence human and animal health and disease, and generate improved microorganisms for biotechnological applications in the food, chemical and drug sectors. The membrane has traditionally proven relatively intractable to study, mainly due to its hydrophobic nature. However, recent technological and methodological advances, with key inputs by Aston University, have enabled this field to progress rapidly. There is now an urgent need for increased research training in this area. There is established and emerging evidence for the involvement of the membrane in a wide variety of industrially-relevant processes, encompassed by MemTrain’s three core themes of medicines discovery, biotechnology and underpinning technology development. MemTrain is a five-year multidisciplinary, intersectoral PhD training programme for 12 PhD researchers. This programme will train the next generation of researchers who are primed to work on developing a new understanding of how to harness the full potential of cell membranes by working the interface of industrial and academic science. To work across these traditional boundaries, researchers will require a diverse skillset enabling them not only to undertake fundamental research but to apply this knowledge to current real-world problems underpinned by excellent communication and transferable skills. Innovative, collaborative training programmes within MemTrain will equip these research leaders with these vital skills, allowing them to drive the future of intersectoral research across Europe and the world.

Keywords: membrane
LIgand Generator and portable drug discovery platform AT Exascale (LIGATE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: European High Performance Computing
Action type: Innovation actions
Partnership: EuroHPC (Art-187)
Countries involved: Austria,Italy,Italy,Italy,Austria,Italy,Switzerland,Sweden,Switzerland,Czechia
Call: Industrial software codes for extreme scale computing environments and applications (H2020-JTI-EuroHPC-2019-1, 2019)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 5938656.25
EU funding (EUR): 2612060.85
Participants: 12
Project status: SIGNED

Today digital revolution is having a dramatic impact on the pharmaceutical industry and the entire healthcare system. The implementation of machine learning, extreme scale computer simulations, and big data analytics in the drug design and development process offer an excellent opportunity to lower the risk of investment and reduce the time to patient. In LIGATE, we aim to integrate and co-design best in class European open-source components together with proprietary (European) IPs (whose development has already been co-funded by previous H2020 projects) to keep worldwide leadership on Computer-Aided Drug Design (CADD) solutions exploiting today high-end supercomputer and tomorrow Exascale resources, fostering the European competitiveness in this field. The proposed LIGATE solution, in a fully integrated workflow, enables to deliver the result of a drug design campaign with the highest speed along with the highest accuracy; further implementing the auto-tuning the parameters of the solutions to meet the time and resource constraints. This predictability, together with the fully automation of the solution and the availability of the Exascale system, will let run the full in silico drug discovery campaign in less than one day to respond promptly for example to worldwide pandemic crisis. Since the evolution of HPC architectures is heading toward specialization and extreme heterogeneity, including future Exascale architectures, the LIGATE solution focuses also on code portability with the possibility to deploy the CADD platform on any available type of architecture in order not to have a legacy in the hardware. The project plans to make the platform available and open to support the discovery a novel treatment to fight virus infections and multidrug-resistant bacteria. The project will also make available to the research community the outcome of a final simulation.

Keywords: drug discovery,computer aided drug design,molecular dynamics,auto tuning,portable,artificial intelligence,machine learning
Chemical compounds targeting MERCs: identification of their partners in physiological and pathological conditions (MERCURY)

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-2019, 2019)
Start date: 2021-08-01
End date: 2023-07-31
Duration (months): 24.0
Total project cost (EUR): 183473.28
EU funding (EUR): 183473.28
Participants: 1
Project status: SIGNED

Mitochondria and Endoplasmic Reticulum (ER) Contact sites (MERCs) are points in which the surfaces of the two organelles run in parallel. MERCs gained attention recently due to their fundamental contribution to several cell processes, such as Ca2+ and lipid homeostasis, mitochondrial fission, and apoptosis. To execute and regulate these processes, MERCs must be dynamic and react to the needs and metabolic state of the cell. Interestingly, the organelles stay separated by a narrow cleft, usually 10-50 nm apart. The width of the MERCs gap and its size (i.e. area of a membrane involved in the contacts) are the critical parameters that determine their cellular functions. Despite the literature on MERCs has grown considerably, the precise molecular structure and role of MERCs are poorly defined. In the proposed project I will investigate the regulation of MERCs plasticity by small molecule compounds. Using a high-content phenotypic screening approach, based on a FRET mitochondria-ER proximity probe, I will identify the compounds affecting MERCs structure. These bioactive hits will be validated through biochemical, confocal and electron microscopy assays. Moreover, I will search for the protein target of the hit molecule using the methodology developed during my PhD. Finally, I will evaluate the capability of the identified hit molecules to act as therapeutic lead compounds for pathological conditions by testing the identified molecules on cells with defective MERCs. Therefore, this project will open new research paths related to both MERCs structure and function. I will obtain deep knowledge of mitochondrial biology and high content screening, which will complement my current expertise obtained during PhD. Besides, I will develop transferable skills needed to successfully accomplish the proposed project. The project also brings the benefits to the European Research Area, since it builds international collaboration and transfers knowledge between two research areas/teams.

Keywords: mitochondria,endoplasmic reticulum,mitochondria er contact sites,inter organelle communication,compound screening,protein target identification,high content microscopy,polymer conjugates
Superfluid dynamics of neutron star crusts and cores (Super-DENSE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Poland
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-08-01
End date: 2018-07-31
Duration (months): 24.0
Total project cost (EUR): 146462.4
EU funding (EUR): 146462.4
Participants: 1
Project status: CLOSED

Neutron stars are one of the most exciting nuclear physics laboratories in the Universe. With interior densities well above nuclear saturation density they allow us to probe conditions impossible to replicate on Earth. In addition the thermal energy of the star is negligible compared to the Fermi energy, and neutrons in the interior will be superfluid. Superfluidity affects the dynamics of the star, as now neutrons can flow relative to the ‘normal’ components of the star with little viscosity. A direct probe of such an effect is thought to come from pulsar ‘glitches’, sudden jumps in frequency observed in otherwise spinning down radio pulsars. Most theories of glitches are based on the idea that a large scale superfluid component of the star is decoupled from the spin-down of the ‘normal’ component, and its sudden re-coupling leads to a glitch. On theoretical grounds we expect this effect as a superfluid rotates by forming an array of quantised vortices, and these vortices are strongly attracted, or ‘pinned’, by ions in the neutron star crust (or superconducting flux tubes in the core). If the superfluid cannot expel ‘pinned’ vortices it cannot spin-down and builds up a lag with respect to the normal component, until hydrodynamical lift forces become strong enough to break the pinning. Despite the success of this picture in interpreting glitches, only recently has progress been made in quantitatively describing glitches with large scale hydrodynamical simulations, and statistics throughout the pulsar population with small scale quantum-mechanical simulations of vortex motion. This proposal aims to bridge the gap between these two scales by using inputs from quantum mechanical simulations to describe vortex unpinning in hydrodynamical simulations, which will include state of the art crustal physics and thermal conduction. We will thus quantitatively describe the response of the star to different kinds of glitches and obtain, for the first time, robust statistics.

Keywords: neutron stars,pulsar glitches
Electrochemical Testing Platform for Advanced Energy Materials (EMPhAsIS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: France
Call: ERC-Proof of Concept-2016 (ERC-2016-PoC, 2016)
Start date: 2017-07-01
End date: 2018-12-31
Duration (months): 18.0
Total project cost (EUR): 148375.0
EU funding (EUR): 148375.0
Participants: 2
Project status: CLOSED

Throughout history, the Li-ion battery technology has relied on cationic redox reactions as the sole source of energy storage capacity. This is no longer true since 2013, where our group had demonstrated that Li-driven reversible formation of (O2)n peroxo-groups in new layered oxides led to extraordinary increases in energy storage capacity. To fully exploit this discovery we were granted in 2015 an advanced ERC grant entitled "Anionic redox processes: A transformational approach for advanced energy materials (ARPEMA)", the goal being to rationalize the fundamental science underpinning this new concept. This calls for new paradigms in characterization techniques to fully track among others the stability of these new compounds as well as the side reactions that they could generate at both electrodes during cycling together with their transport and kinetic properties. To address this critical need we developed a new design test system which enables for monitoring potential, current, temperature, pressure as well as the nature and composition of the released gases together with the impedance built-up at each electrode. Owing to the relative simplicity, high versatility and great reliability of such a new-patented multi-function testing device we anticipate its rapid implementation to various battery technologies. The goal of this project is to develop a proof of concept prototype and a small series production, as well as performing an extensive market analysis and budgeting suppliers, all for establishing an accurate business proposition. This information will be consolidated in a business plan and will be used in the creation of a company together with potential investors. We believe that this device will enable a rapid development of the next generation of high energy density batteries and consists in a global market commercial opportunity.

Keywords: energy storage,battery materials,randd,testing tools,prototype,market analysis,marketing,commercialization
Using Land Cover Change Models to Address Important Conservation Issues (LCCMcons)

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: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-05-01
End date: 2018-04-30
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

Anthropogenic land use/land cover change (LULCC) is now one of the major causes of biodiversity loss and the second largest source of carbon emissions to the atmosphere. Policy-makers face a challenging task when making decisions that impact the future of the landscapes with great levels of uncertainty about its outcome. Spatially-explicit LULCC models can be important tools to help assessing the outcome of such decisions a piori. However, modelling anthropogenic processes is a great challenge. Not only is the physical environment itself highly variable, but the underlying processes that drive LULCC combine socio-economic, cultural, political and environmental factors. Although enormous advances have been made in the field of LULCC modelling over the past couple of decades, there is room for improvement as these models still lack the ability to project both the rate and location of future change accurately. Improving these models would dramatically increase their potential to help solving real-world problems. Therefore, this research proposal will improve an existing LCCM to be able to incorporate region- and land-use transition specific parameters, representing observed relationships between proximate causes and drivers of LULCC, which vary over time and space. By the means of two real-world case studies, on different biomes (Serengeti-Mara Ecosystem and the Brazilian Atlantic Forest), this project will show how a LULCC model can be used to tackle two important worldwide conservation issues: the conflict between infrastructure development and conservation (Serengeti) and the impacts of implementing financial incentives to promote forest restoration (Atlantic Forest). Ultimately, this research proposal will provide a framework for robust decision-making under uncertainty, particularly when considering potential trade-offs between socio-economic and ecological implications at different scales, and a tool for aiding management of stakeholders' conflicts due to LULCC.

Keywords: land cover change,spatial modelling,conservation,regional planning,policy
Quantitative developmental genetic analysis of phenotypic buffering and cryptic variation (ROBUSTNET)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Cellular, Developmental and Regenerative Biology
Panel description: Structure and function of the cell, cell-cell communication, embryogenesis, tissue differentiation, organogenesis, growth, development, evolution of development, organoids, stem cells, regeneration, therapeutic approaches
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-10-01
End date: 2021-09-30
Duration (months): 72.0
Total project cost (EUR): 1499745.0
EU funding (EUR): 1499745.0
Participants: 1
Project status: CLOSED

Randomness pervades life and biological systems are continuously subject to variation. This variation may be stochastic, due to random fluctuations in the concentration of critical molecules, genetic, due to mutation accumulation, or environmental, because of changes in the environment over time. It is therefore remarkable how biological systems manage to operate with so much precision. The property of a system to produce an invariant output in the presence of considerable noise is called robustness. Development itself is highly robust to noise and this is instrumental for the successful transformation of a fertilised egg into a multi-cellular individual. Developmental robustness ensures the stability of phenotypic traits, including correct cell numbers in a given tissue. While research on developmental robustness has seen a surge over the last 15 years, most studies have remained theoretical, and we still lack appropriate experimental systems to elucidate the mechanisms via which robust outputs are achieved. We propose here to follow a system-wide, integrative approach to study the mechanisms, evolution and consequences of developmental robustness in a multi-cellular model organism. To this end, C. elegans is a very attractive system because developmental patterning is highly stereotypical and animals are isogenic, thereby allowing precise control of the genetic background. Focusing on a new experimental model, the epithelial seam cell number variation, and using comprehensive molecular developmental genetics, genomics and imaging we will derive principles about the contribution of genes to stabilisation of developmental outcomes and will develop a developmental framework for phenotypic buffering. Understanding the fundamental mechanisms underlying developmental robustness is highly relevant to biomedical sciences, as many diseases can be understood in the context of debuffering of normal physiological states.

Keywords: robusntess,c elegans,quantitative development
Developing an Artificial Intestine for the sustainable farming of healthy fish (Fish-AI)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Israel,Italy,Norway,Belgium,Norway,Portugal
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2018)
Start date: 2019-04-01
End date: 2024-12-31
Duration (months): 69.0
Total project cost (EUR): 2998650.0
EU funding (EUR): 2998650.0
Participants: 6
Project status: SIGNED

A healthy, balanced diet has a fundamental role in preventing a large range of chronic diseases and contributes to prolong life quality with obvious benefits for the individual as well as for the society. Aquaculture production plays a substantial role in this perspective because fish is an important source of well-balanced proteins and important nutrients such as marine-derived omega-3 fatty acids. However, its sustainability generates concerns as farmed fish diet is largely based on fishmeal and fish oil. Consumer and environmental groups demand a continued move towards alternative feeds. Objective of this project is to develop a next generation 3D culture platform that accurately mimics the complex functions of the intestinal mucosa. Its purpose is to make available a technology for predicting the health and nutritional value of innovative components of aquafeeds. Current methods are lengthy, expensive and requires the use of large number of animals. Furthermore, they do not provide the knowledge of the cellular and molecular mechanisms determining the final effect of each meal on the fish. This lack of mechanistic knowledge severely limits our capacity to understand and predict the biological value of the single raw material and of their different combinations. We propose to develop new ad hoc biomaterials to create a 3D scaffold where to grow and differentiate a complete population of intestinal epithelial cells. Combining state of the art notions on fish nutrition will lead to a fully functional prototype of artificial intestine (Fish-AI) that will enable the feed industry to predict accurately and efficiently the health and nutritional value of alternative feed sources substantially improving European aquaculture sustainability and competitiveness. The project fosters cross-fertilisation and synergy among nutrition physiology, bioengineering, cell and stem cell biology to develop innovative technologies for a sustainable livestock production.