Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Wind and Turbulence Radar for Offshore wind energy (WITRO)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Norway
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2015, 2015)
Start date: 2015-09-01
End date: 2015-12-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The project studies the use of a radar based technology to increase revenues and decrease maintenance costs of offshore wind-farms by providing a technology that help wind parks predict and adapt to the wind. Modern wind turbines are adjustable. The angels of rotors and blades can be changed. This is done by a control system optimizing production on a wind park level, or an even greater level. The wind park operator have several objectives to optimize for with the help of wind data. One is to reduce maintenance costs. Sudden wind bursts damage wind turbines, through identifying such wind bursts from a distance the wind park control system can adjust the angles of the blades to deflect the power of the wind. A second is to be able to predict energy output more accurately. This is important as wind park operators often have energy delivery contracts and are penalized if they deliver more or less than predictions. Predictions become more accurate when wind park operators have data on and understanding of the wind resources. A third objective is to harmonize all wind turbines in the park to get the highest possible stable output. This is also based on data on and understanding of the wind resources. There is substantial economic benefits to be gained through improved operation of wind parks. The yearly cost improvements from the system in the European offshore marked alone is estimated to 275 M EURO in 2020 and over 1 000 M Euro in 2030. There is also a potentially much larger positive societal impact. Improvements in the cost-efficiency of wind will help it reach a tipping-point where it is driven forward through commercial motivations rather than government aid. The company have recently completed a major (approx. 1,4 M EUR) government funded research project, and tested the technology together with major commercial companies in wind energy like Statoil (largest Norwegian energy company) and Kongsberg Maritme (large player now entering the wind farm control market.

Keywords: radar,wind energy,meteorology,offshore
Beyond CRISPR: Systematic characterization of novel anti-phage defense systems in the microbial pan-genome (PhageResist)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Integrative Biology: from Genes and Genomes to Systems
Panel description: Genetics, epigenetics, genomics and other ‘omics studies, bioinformatics, systems biology, genetic diseases, gene editing, innovative methods and modelling, ‘omics for personalised medicine
Countries involved: Israel
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-07-01
End date: 2021-12-31
Duration (months): 66.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: CLOSED

The perpetual arms race between bacteria and phage has resulted in the evolution of efficient resistance systems that protect bacteria from phage infection. Such systems, which include restriction enzymes and CRISPR-Cas, have major influence on the evolution of both bacteria and phage, and have also proven to be invaluable for molecular and biotechnological applications. Although much have been learned on the biology of bacterial defense against phage, more than half of all sequenced bacteria do not contain CRISPR-Cas, and it is estimated that many additional, yet-uncharacterized anti-phage defense systems are encoded in bacterial genomes. The goal of this project is to systematically understand the arsenal of defense mechanisms that are at the disposal of microbes in their struggle against phages. The project combines computational genomics, synthetic biology, high-throughput robotic assays, and deep genetic and biochemical experiments to discover, verify, and study the properties of anti-phage defense systems.

Keywords: crispr,phage,phage resistance,phage defense
Translating knowledge for legume-based farming for feed and food systems. (Legumes Translated)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Coordination and support actions
Countries involved: Ireland,Germany,Germany,Germany,Austria,Germany,Germany,Ireland,Germany,Finland,Greece,Greece,Switzerland,Serbia,Bulgaria,United Kingdom,United Kingdom
Call: Thematic networks compiling knowledge ready for practice (H2020-RUR-2018-1, 2018)
Start date: 2018-11-01
End date: 2022-04-30
Duration (months): 42.0
Total project cost (EUR): 2159043.75
EU funding (EUR): 1999947.5
Participants: 19
Project status: CLOSED

Legumes Translated supports innovation in grain legume-supported cropping systems and value-chains by linking sources and users of quality-assured knowledge using rigorous knowledge synthesis and compilation. Knowledge is compiled at two levels: at the level of Actor Groups’ specific farming system and value chain activities, and in seven technical areas of agricultural sector and value-chain transition (Transition Networks). The project addresses an urgent need and cross-sector challenges by building on technical opportunities. The urgent need is due to the imbalance in cropping systems now dominated by cereal crops with adverse agronomic and environmental effects. The cross-sector challenge arises from the growing demand for alternative sources of plant protein, growing consumer interest in the environmental impact and resource efficiency of value chains, growing demand for GMO-free value chains and grain legume-based foods. The technical opportunity arises from the range of innovation groups in Europe that are now translating relevant knowledge at a local and regional level. Our consortium comprises an existing innovation community represented by 15 Actor Groups with research-based knowledge, value-chain actors’ knowledge and insights from the pre-farm side of the value chain right through to retailing, including the supporting and regulating functions such as policy development. The project uses a co-learning framework to validate the knowledge compiled within Actor Groups and between Actor Groups within the seven Transition Networks. In addition to direct interaction between partners, an extensive range of primary communications provided in an internet-based knowledge platform (The Legume Hub) will have a lasting character documenting the work. Secondary communications will target specific groups along value chains using a wide range of media. The project includes work for impact beyond the project time-frame.

Keywords: legume,soybean,faba bean,farming system,crop,arable,livestock,multi actor,akis,aquaculture,poultry,dairy,protein,feed,nitrogen,biological nitrogen fixation,value chain
Future tamper-proof Demand rEsponse framework through seLf-configured, self-opTimized and collAborative virtual distributed energy nodes (DELTA)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: A single, smart European electricity grid
Action type: Research and Innovation actions
Countries involved: Spain,Austria,Ireland,Cyprus,Norway,Belgium,Greece,United Kingdom
Call: Next generation innovative technologies enabling smart grids, storage and energy system integration with increasing share of renewables: distribution network (H2020-LCE-2017-SGS, 2017)
Start date: 2018-05-01
End date: 2021-10-31
Duration (months): 42.0
Total project cost (EUR): 3873625.0
EU funding (EUR): 3873625.0
Participants: 11
Project status: CLOSED

DELTA proposes a DR management platform that distributes parts of the Aggregator’s intelligence into lower layers of a novel architecture, based on VPP principles, in order to establish a more easily manageable & computationally efficient DR solution, ultimately aiming to introduce scalability & adaptiveness into the Aggregator’s DR toolkits; the DELTA engine will be able to adopt & integrate multiple strategies & policies provided from its energy market stakeholders, making it authentically modular & future-proof. DELTA will also deliver a fully autonomous architectural design, enabling end-users to escape the hassle of responding to complex price/incentive-based signals, while facilitating active, aware & engaged prosumers, based on innovative award schemes, a social collaboration platform & enhanced DR visualisation. Provision of full-scale market & grid services will be made possible by delivering explicit & implicit-based DR elasticity services, while pushing current market regulatory limitations so that they can be surpassed, and satisfying potential grid constraints related to flexibility activation through Multi-Factor Forecasting and Deep Reinforcement Learning Profiling. Furthermore, DELTA will propose & implement novel multi-agent based, self-learning energy matchmaking algorithms to enable aggregation, segmentation & coordination of several diverse supply & demand clusters, designed end-to-end using well-known, open protocols (i.e. OpenADR), for increasing interoperability. DELTA will set the milestone for data security in future DR applications by not only implementing novel block-chain methods & authentication mechanisms, but also by making use of Smart Contracts which would further secure & facilitate Aggregators-to-Prosumers transactions. Two pilots in UK & Cyprus will realise the DELTA concept, covering a wide variety of residential/tertiary loads (>11GWh), RES generation (>14GWh) & energy storage systems (>9MWh) (average annual measurements).

Keywords: multi agent framework,energy matchmaking,multi factor forecasting,deep reinforcement learning flexibility profiling,collaboration platform
Conservation of European Biodiversity through Exploitation of Traditional Herbal Knowledge for the Development of Innovative Products (EthnoHERBS)

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: Environment and Geosciences
Countries involved: Italy,Italy,Spain,Cyprus,Serbia,Bulgaria,Serbia,Greece,Greece,Greece,Portugal,Portugal
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2018, 2018)
Start date: 2019-10-01
End date: 2024-09-30
Duration (months): 60.0
Total project cost (EUR): 2447200.0
EU funding (EUR): 2447200.0
Participants: 15
Project status: SIGNED

‘EthnoHERBS’ project aims to apply systematic ethnobotanical surveys and cutting edge technologies in the field of Natural Product Chemistry in order to fully and efficiently exploit the traditional knowledge and the therapeutic potential of medicinal and aromatic plants of the Balkan Peninsula. New opportunities for the generation of innovative products will arise and current environmental challenges will be addressed. The cornerstone of ‘EthnoHERBS’ project is the exploitation of traditional knowledge, the investigation of plant biodiversity and the application of eco-friendly technologies for the efficient extraction and purification of bioactive ingredients, as well as their complete chemical characterization and biological evaluation of their effects on skin disorders. Optimization of production processes as well as formulation using emerging technologies will lead to the development of novel final products. The organic cultivation of selected plants will ensure the conservation of biodiversity and the sustainability of the project. A diverse group of experts, leaders in their scientific and technological fields, comprising seven academic groups and seven non-academic partners from five EU Member States and one Candidate Country will join forces and exchange know-how through an extended secondments scheme to advance Research & Innovation. Using the experience of the academic partners in ethnobotany, phytochemistry and biology, as well as the practical experience of the SMEs in commercialization of plant derived products and development of innovative final products, transfer of scientific knowledge, best practices and know-how, training courses and workshops will take place. Overall, the implementation of the ‘EthnoHERBS’ project aspires to develop a successful and sustainable international and intersectoral collaboration model that will contribute to the most effective conservation and exploitation of natural resources and the development of innovative product.

Keywords: ethnobotany,pharmacognosy,natural products chemistry,herbal extracts,skin disorders
SIMULACRON: From Camera Observations to Physical Simulations of the 3D World (SIMULACRON)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 3500000.0
EU funding (EUR): 3500000.0
Participants: 1
Project status: SIGNED

Despite their amazing success, we believe that computer vision algorithms have only scratched the surface in terms of understanding our world from images. While most research on 3D reconstruction has been concerned with recovering the surface geometry and reflectance, SIMULACRON is focused on inferring the underlying physics (masses, elasticity, momenta, forces, etc.) and a simulation of the observed action directly from videos. This not only provides a more profound understanding of the observed phenomena, but it also allows us to interpolate and extrapolate complex actions far beyond the observation: The inferred physical simulation can be employed for space-time super-resolution and for predictions into the future. SIMULACRON covers three lines of research: A) We will develop algorithms for deformable shape modeling. We will explore suitable representations of 3D shape and its evolution that enable the efficient computation of shape deformation, correspondence, interpolation and extrapolation. These techniques will form the basis for inferring physical simulations in parts B and C. B) We will develop variational methods for inferring physical simulations from videos. We will compute a reference shape and simulation parameters that generate the shape deformation that is most consistent with the observations. C) We will develop learning-based approaches for inferring physical simulations from videos. We will pursue two alternative approaches: First, we will generate synthetic training data by simulating deformable shapes and the associated camera observations. Second, we will devise self-supervised techniques for learning from real data without requiring labeled training data. By shifting from inference of 3D geometry to inference of physical simulations, SIMULACRON will give rise to a more profound notion of dynamic scene understanding in computer vision, robotics and beyond. We believe that we have the necessary competence to pursue this project.

Keywords: 3d computer vision,multiple view reconstruction,dynamic scene understanding,physics based modeling
Constructing polar rotors in metal-organic frameworks for memories and energy harvesting (MemoMOFEnergy)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Netherlands
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-01-01
End date: 2023-06-30
Duration (months): 66.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

I seek to develop new ferroelectrics based on metal-organic frameworks with dipolar rotors. Ferroelectrics are targeted to be used as physically flexible memories and mechanical energy harvesters for biocompatible sensors and implantable monitoring devices. As ferroelectrics can store and switch their polarity, they can be used as memories. Via the piezoelectric effect, they can harvest mechanical vibrations. The materials most compatible with flexible substrates, are soft matter materials. However, these so far don’t meet the requirements. Especially lacking is a combination of i) polarisation stability, ii) a sufficiently low energy barrier for polarisation switching and iii) fast switching. As energy harvesters, soft matter materials are hampered by low piezoelectric coefficients. The main objective of this proposal is rational design of ferroelectrics by obtaining a fundamental understanding of the relation between structure and properties. I will achieve this by uniquely synthesizing polar rotors into 3D crystalline scaffolds that allow to alter the rotors’ nano-environement. I will achieve this via polar ligands in metal-organic frameworks (MOFs). The variability of MOFs allows to tune the nature of the hindrance towards rotation of the polar rotors. The tuneable flexibility allows to regulate the energy harvesting efficiency. Moreover, MOFs have already shown potential as biocompatible materials that can be integrated on physically flexible substrates. The research consists of i) synthesis of polar rotor MOFs with targeted variations, ii) reliable characterisation and computational modelling of the electronic properties, iii) nanoscopic insight in the switching dynamics. The approach allows to understand how ferro- and piezoelectricity are related to the materials’ structure, and hence to develop materials with exceptional performance. My recent observation of the ferroelectric behaviour of a nitrofunctionalised MOF is the basis for this proposal.

Keywords: metal organic framework,coordination polymers,ferroelectrics
ABIOtic Synthesis of RNA: an investigation on how life started before biology existed (ABIOS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: France
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-02-01
End date: 2024-07-31
Duration (months): 78.0
Total project cost (EUR): 1497031.0
EU funding (EUR): 1497031.0
Participants: 1
Project status: SIGNED

The emergence of life is one of the most fascinating and yet largely unsolved questions in the natural sciences, and thus a significant challenge for scientists from many disciplines. There is growing evidence that ribonucleic acid (RNA) polymers, which are capable of genetic information storage and self-catalysis, were involved in the early forms of life. But despite recent progress, RNA synthesis without biological machineries is very challenging. The current project aims at understanding how to synthesize RNA in abiotic conditions. I will solve problems associated with three critical aspects of RNA formation that I will rationalize at a molecular level: (i) accumulation of precursors, (ii) formation of a chemical bond between RNA monomers, and (iii) tolerance for alternative backbone sugars or linkages. Because I will study problems ranging from the formation of chemical bonds up to the stability of large biopolymers, I propose an original computational multi-scale approach combining techniques that range from quantum calculations to large-scale all-atom simulations, employed together with efficient enhanced-sampling algorithms, forcefield improvement, cutting-edge analysis methods and model development. My objectives are the following: 1 • To explain why the poorly-understood thermally-driven process of thermophoresis can contribute to the accumulation of dilute precursors. 2 • To understand why linking RNA monomers with phosphoester bonds is so difficult, to understand the molecular mechanism of possible catalysts and to suggest key improvements. 3 • To rationalize the molecular basis for RNA tolerance for alternative backbone sugars or linkages that have probably been incorporated in abiotic conditions. This unique in-silico laboratory setup should significantly impact our comprehension of life’s origin by overcoming major obstacles to RNA abiotic formation, and in addition will reveal significant orthogonal outcomes for (bio)technological applications.

Keywords: classical and ab initio molecular dynamics,multi scale simulation approach,origins of life,thermophoresis,phosphoester bond formation,xeno nucleic acids
Multidisciplinary approach to strengthen cooperation and establish novel platform for comprehensive assessment of food and feed safety (MultiCoop)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Austria,Czechia,United Kingdom
Call: Twinning (H2020-TWINN-2015, 2015)
Start date: 2016-01-01
End date: 2018-12-31
Duration (months): 36.0
Total project cost (EUR): 997943.75
EU funding (EUR): 997943.75
Participants: 3
Project status: CLOSED

MultiCoop is aimed at promoting new opportunities for participating partners (VSCHT, QUB and BOKU) by development of levels of excellence and expertise of all three institutions in the field of comprehensive food and feed safety assessment. A major focus will be in enhancing the range of competences of VSCHT. The main objectives and goals of the project are (i) the establishment of close links between project partners through organization of a series of training and mobility initiatives, (ii) dissemination and communication of project outcomes achieved by raising scientific capacity and through publication of joint scientific papers, (iii) the identification of new and important research topics which will result in further development of new collaborations through preparation of joint projects proposals, and (iv) enhancement of the profiles and competences of participating researchers. The main interests for substantial knowledge transfer are innovation in the field of analytical chemistry incorporating holistic analytical approach for analytical methods for targeted analysis of contaminants and health beneficial compounds, analytical approaches for non-targeted screening and metabolomic fingerprinting/profiling, and methods for identification of important metabolomic markers. Furthermore, interests in fit-for-purpose methods for assessment of currently unknown risks resulting from presence of mixtures of chemical contaminants in food and feed and novel approaches used in bioprospecting, a new tool for uncovering important natural resources for improving health are included. Our strategy is the delivery of knowledge transfer from partners with the greatest experience and expertise in a particular field to those whose needs are the greatest. A substantial benefit for this effective knowledge transfer is that a partial overlap of partners´ competencies exists, which will allow for a smooth implementation of the knowledge gained by the particular partner institution.

Keywords: knowledge transfer activities,strengthening of cooperation,enhancing competences in comprehensive food and feed safety assessment