Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Open characterisation and modelling environment to drive innovation in advanced nano-architected and bio-inspired hard/soft interfaces (Oyster)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Research and Innovation actions
Countries involved: Ireland,Italy,Germany,Germany,Ireland,Italy,Greece,Switzerland,Belgium,France,United Kingdom,United Kingdom,Luxembourg,United Kingdom
Call: Systems of materials characterisation for model, product and process optimisation (H2020-NMBP-2017-two-stage, 2017)
Start date: 2017-12-01
End date: 2022-03-31
Duration (months): 52.0
Total project cost (EUR): 3999752.5
EU funding (EUR): 3999752.0
Participants: 15
Project status: CLOSED

A failure to quantitatively control adhesion costs billions of euros each year in failed components, suboptimal product performance and life-threatening infections. Nano-enabled and bio-inspired products offer practical solutions to overcome adhesion and friction problems in these application areas. Current tools and methodologies, however, have so far failed to produce any standardised interpretation of adhesion data linking nanoscale adhesion to the macroscopic data. OYSTER uses contact mechanics to bridge adhesion data at multiple length scales and link interfacial adhesion to physicochemical properties. OYSTER brings Europe’s first-class laboratories and SMEs to take existing nanoscale characterisation technologies towards widespread utilisation in process optimisation and model validation. OYSTER achieves this by sharing metadata in an Open Innovation Environment, where new paradigms of multi-scale contact mechanics are validated on selected application oriented reference materials through continuous interaction with the European Materials Characterisation Council (EMCC). This way, OYSTER generates wider agreement over adhesion measurement protocols by multimodal Atomic Force Microscopy and high-speed nanoindentation. Tools and methodologies at Technology Readiness Level (TRL) 4 will be progressed to TRL 6 through unambiguous, standardised, quantitative measurements of adhesion from nano- to macro-scale. Nano-patterned wear resistant surfaces and chemically/topologically functionalised soft contact lenses will show case nano-enabled and bioinspired products for significant market impact. In this way, OYSTER implements the triangle of modelling, characterisation and manufacturing to the wider context of industrial exploitation specially through small and medium enterprises, stakeholders’ networks such as EMCC, European Materials Modelling Councils (EMMC) and European Pilot Project Network (EPPN), and international standard organisations.

Keywords: adhesion,nanoindentation,modelling,metadata
The importance of transcriptional coordination during development (SYNC_DEV)

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: France
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2017-01-01
End date: 2022-12-31
Duration (months): 72.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: CLOSED

Gene expression is precisely controlled in time and space during the development of Metazoan organisms. While numerous studies have established how spatial information is integrated by gene regulatory regions, called enhancers, little is known about the temporal aspects of transcription. Most of our insights into gene regulation stem from the use of fixed preparations where timing is artificially reconstituted from different snapshots. My goal is to integrate the dynamic aspects of transcription to understand how coordination is achieved and whether it is required during development. Transcriptional coordination refers to the inter-nuclear temporal coordination in gene activation (synchrony) and homogeneity in mRNA distribution across a field of coordinately developing cells. Initially we will characterize the mechanisms of transcriptional coordination in the early Drosophila embryo, a model system which allows quantitative imaging and genetic manipulations. However the ultimate goal of the programme is to extend these analyses to later stages of development during complex tissue specification. My team will improve a newly available live imaging technique to address fundamental questions about transcriptional dynamics in a multicellular developing embryo, with three main objectives: 1-examine the effects of promoter sequence and enhancer priming on transcriptional coordination. 2-analyse the inheritance of transcriptional states from mother to daughter cells and identify the bookmarking mechanisms responsible for this memory. 3-explore the functional role of transcriptional coordination for cell fate specification during cardiogenesis. Through the novel integration of the dynamic and quantitative aspects of transcription in a living organism, this study shall connect coordination in transcription to precision in cell specification. Thus, results from this research should have major impact on our understanding of gene regulation during normal development and disease

Keywords: development,transcription,coordination,precision,quantitative imaging,live imaging,cell fate decisions
FAST Track to Clean and Carbon-Neutral WATERborne Transport through Gradual Introduction of Methanol Fuel: Developing and Demonstrating an Evolutionary Pathway for Methanol Technology and Take-up (FASTWATER)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Innovation actions
Countries involved: Germany,Germany,Germany,Belgium,Greece,Belgium,Belgium,Sweden,Sweden,Greece,Sweden,United Kingdom
Call: Retrofit Solutions and Next Generation Propulsion for Waterborne Transport (H2020-MG-2019-TwoStages, 2019)
Start date: 2020-06-01
End date: 2024-05-31
Duration (months): 48.0
Total project cost (EUR): 6357962.5
EU funding (EUR): 4999217.51
Participants: 14
Project status: SIGNED

FASTWATER focuses on methanol, a clean fuel, available in large quantities in most ports today and offering a pathway to a climate-neutral synthetic fuel produced from renewables. Methanol is suited for internal combustion engines, gas turbines as well as fuel cells. As a liquid fuel, it is easily stored on board, which is advantageous to ship design, and enables relatively simple retrofitting. Consequently, the EU’s Joint Research Centre’s study on alternative fuels for shipping states that methanol is one of the most promising options to decarbonise the shipping sector. FASTWATER aims to start a fast transitionary path to move waterborne transport away from fossil fuels, and reduce its pollutant emissions to zero impact, through the use of methanol fuel. The FASTWATER consortium has a strong track record with methanol projects (particularly for waterborne transport) and includes shipyards, a ship owner, engine manufacturers, an equipment supplier, a classification society, a methanol producer, a major port and research institutes. Specifically, FASTWATER will develop and demonstrate an evolutionary pathway for methanol technology, including retrofit solutions as well as next generation systems. Universal, scalable retrofit kits, medium speed and high speed methanol engines will be developed, demonstrated and commercialized. The demos include a harbour tug, a pilot boat and a coast guard vessel. A complete design for a methanol-powered river cruiser is also included. The demos will show the complete chain from renewable methanol production to ship bunkering, work with regulatory agencies to simplify rules and regulations for methanol as a fuel, and develop and use a training programme for crew. Finally, business plans will be elaborated including the life cycle performance analysis of investment cost, fuel cost, CO2 savings and pollutant reductions, to commercialize the developed solutions.

Keywords: methanol,renewable methanol,biomethanol,combustion engine,commercialization,retrofit,transition,carbon neutral,defossilization,marine,inland waterway
Economic Consequences of Restrictions on the Usage of Cookies (COOKIES)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-12-01
End date: 2024-11-30
Duration (months): 60.0
Total project cost (EUR): 1998250.0
EU funding (EUR): 1998250.0
Participants: 1
Project status: SIGNED

Cookies (or “HTTP cookies”) enable companies to collect and exchange extensive information about users. This information is often used to improve the performance of online advertising, which website publishers rely on in order to finance the “free” content to which their users have become accustomed. Yet, the collection of information leads to a loss of privacy. Accordingly, EU policy makers have put forward initiatives to restrict cookie usage (e.g., General Data Protection Regulation (GDPR), upcoming EU ePrivacy Regulation). So far, there exists very little empirical knowledge on the trade-off between user privacy and the economic value that website publishers, advertisers, and even users derive from cookies. As a result, policy makers have no way of telling whether their restrictions on cookies have the intended positive consequences for user privacy, or whether any benefits are outweighed by negative effects on the profits of companies—which policy makers also seek to nurture. This proposal’s vision is to eliminate the gap in knowledge regarding the economic consequences of restrictions on the usage of cookies. I propose four work packages, each outlining the economic consequences of a specific type of restriction. In WP1-3, I will analyze a proprietary and massive (60-65 TB) set of “cookie data” that includes 472 publishers, 842 advertisers, 2.8 billion cookies and the prices of >110 billion ad impressions, that indicate the value of cookies for companies. In WP4, I collect “implementation data” to analyze the steps taken by thousands of the world’s most highly-trafficked websites to become GDPR-compliant. My results will provide a crucial empirical foundation for cookie restrictions in an industry worth more than €10 billion per year in the EU. The required interdisciplinary research will also involve the development of novel methodologies for deriving such information from big data, and theories as to why the observed economic consequences occur.

Keywords: marketing,cookies,online advertising,privacy,consumer protection
Advanced Modeling CapabiLities For UHBR Low Noise Fan Technology (AMICAL)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Belgium,Belgium,France,Netherlands
Call: Supporting implementation of 2030+ UHBR low noise fan technology solutions through enhanced modeling capabilities (H2020-CS2-CFP10-2019-01, 2019)
Start date: 2020-07-01
End date: 2023-12-31
Duration (months): 42.0
Total project cost (EUR): 2098750.0
EU funding (EUR): 1469124.0
Participants: 4
Project status: SIGNED

The design of innovative low fan noise technologies for next generation UHBR engines is highly conditioned by the accuracy of aeroacoustic modelisations and related design tools. To further guide UHBR Low fan noise design and noise reduction technologies, the AMICAL project is focused on applying advanced high-fidelity numerical tools, based on Lattice Boltzmann and high order Navier-Stokes methods, to realistic fan/OGV configurations, including installation effects and wind tunnel environments. In addition several noise reduction mechanisms will also be simulated with high-fidelity methods. As a by-product , the high-fidelity simulations will be exploited to validate and improve lower fidelity noise prediction methods, in support of the engineering needs for fast and reliable design tools. In order to exploit combined acoustic numerical and experimental databases, new post-processing methodologies will also be developed to identify 2030+UHBR fan noise sources and improve the physical understanding of noise generation mechanisms. The AMICAL consortium is formed by NUMECA, a Belgian SME active in flow simulations (also coordinating the project), a Dutch expert in noise identification and post-processing (PSA3) and CERFACS a major French research center. All three partners have an extensive experience in EU and Cleansky projects.

Keywords: high fidelity simulations,uhbr,tonal and broadband noise
BACterial conversion of CO2 and renewable H2 inTO bioFUELs (Bac-To-Fuel)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Belgium,Netherlands,United Kingdom
Call: Disruptive innovation in clean energy technologies (H2020-LC-SC3-2018-Joint-Actions-3, 2018)
Start date: 2019-01-01
End date: 2022-06-30
Duration (months): 42.0
Total project cost (EUR): 2999922.5
EU funding (EUR): 2999919.0
Participants: 6
Project status: CLOSED

To reduce dependency on fossil fuels and to contribute to growing efforts to decarbonise the transport sector, biofuels provide a way to shift to low-carbon, non-petroleum fuels, with minimal changes to vehicle stock and distribution infrastructure. Whilst improving vehicle efficiency is a key cost-effective way of reducing CO2 emissions in the transport sector, biofuels will play a significant role in replacing liquid fossil fuels (particularly for those modes of transport which cannot be electrified). Production and use of biofuels can provide benefits such as increased energy security, reducing dependency on oil imports and reducing oil price volatility. Biofuels can also support economic development through creating new sources of income. BAC-TO-FUEL will respond to the global challenge of finding new sustainable alternatives to fossil fuels by developing, integrating and validating a disruptive prototype system at TRL5 which is able to transform CO2/H2 into added-value products in a sustainable and cost-effective way which: 1) mimics the photosynthetic process of plants using novel inorganic photocatalysts which are capable of producing hydrogen in a renewable way from photocatalytic splitting of water in the presence of sunlight 2) uses enhanced bacterial media to convert CO2 and the renewable hydrogen into biofuels (i.e. ethanol and butanol both important fuels for transport) using a novel electro-biocatalytic cell which can handle fluctuations in hydrogen and power supply lending itself to coupling to renewable energy technologies BAC-TO-FUEL is a multidisciplinary project which brings together leaders in the fields of materials chemistry, computational chemistry, chemical engineering, microbiology and bacterial engineering. BAC-TO-FUEL will validate a prototype system at TRL5 which is able to transform CO2/H2 into added-value products in a sustainable and cost-effective way specifically for the European transport sector.

Keywords: photocatalysis,microbial electrosynthesis,atomic quantum clusters,enriched mixed cultures,bacterial conversion
Artificial intelligence expert to boost growth of a high-potential digital diagnostics start-up (AI-PATH)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Netherlands
Call: European SME innovation Associate - pilot (H2020-INNOSUP-2020-02, 2020)
Start date: 2020-10-01
End date: 2022-01-31
Duration (months): 16.0
Total project cost (EUR): 142500.0
EU funding (EUR): 99750.0
Participants: 1
Project status: CLOSED

Ellogon AI is an innovative start-up established in 2019 as a spin-off from University of Amsterdam, by leading academic experts in artificial intelligence, medical imaging, and computational pathology. The company develops a unique approach to analysis of complex histopathology images of tumour biopsies by directly connecting them to treatment outcomes. The developed technology is based on self-learning algorithms able to analyse whole-slide image big data and with a near-perfect accuracy to identify and detect specific cellular structures serving as potential cancer biomarkers. The company’s leading product will be the first AI-driven digital biomarker to assess the anti-tumor immune response in biopsies using identification and quantification of tumour infiltrating lymphocytes (TILs). The company’s future strategy is to integrate clinical/genomic data with multiple visual biomarkers for >95% accurate diagnostics and prediction of treatment outcome. Currently, only the management team works for the company and seeks to recruit the core technology expert associate that will be in charge of the technology development, with the outlook to become the leader of the development team and eventually the chief technology officer (CTO). In the company’s strategy to build leading technology expert team, filling this particular vacancy represent the critical recruitment milestone. The associate will develop and expand skills in high-performance machine learning applications working with state-of-the-art deep learning models, but also towards managing position in innovative small enterprise. The proposed grant will allow the company to secure the necessary financial resources to overcome the competition (scarcity in the candidates/ salary level) and resources barrier, as well as the visibility barrier to attract the needed expert. Competition in the national market is severe, hence acquiring talent outside the Netherlands is necessary.

Keywords: digital pathology
Substitution of Critical Raw Materials on Aluminium Alloys for electrical vehicles (SALEMA)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Ensuring the sustainable supply of non-energy and non-agricultural raw materials
Action type: Innovation actions
Countries involved: Germany,Spain,Italy,Germany,Germany,Spain,Spain,Italy,Italy,Italy,Spain,Belgium,Türkiye,Poland,Belgium,Belgium
Call: Raw materials innovation actions: exploration and Earth observation in support of sustainable mining (H2020-SC5-2020-2, 2020)
Start date: 2021-05-01
End date: 2024-04-30
Duration (months): 36.0
Total project cost (EUR): 10711758.67
EU funding (EUR): 8933723.63
Participants: 19
Project status: SIGNED

The EC and national public officials are well aware of the economic importance and supply risk of Critical Raw Materials and are promoting solutions which are feasible, reliable and cost-effective to reduce this dependence. SALEMA addresses this concern for the CRM-reliant high performance Aluminium grades required in electrical vehicles. Changing the input materials required to produce these advanced alloys, SALEMA proposes a circular economy model using scrap metal as an alternative source of Critical Raw Materials and the substitution of CRM for commonly available alloying elements. These developments will be deployed in four industrial pilots (High Pressure Die Casting, Cold and Hot Sheet Stamping, and profile Extrusion), representing the most relevant processes in aluminium manufacture for lightweight automobiles. SALEMA puts together an industrially and user-driven consortium that represents the whole sector of aluminium in automotive applications, who will extensively work during 3 years to proof that the presentedmeasures are competitive, technically feasible and contribute towards circular economy strategies and sustainability goals. The project addresses in a coordinated and cooperative manner the key challenges in the different levels of the value chain: improving scrap classification and sorting systems to turn scrap into a valuable raw material; demonstrating the feasibility to substitute CRMs in alloying systems; developing recycled aluminium alloys with improved mechanical performance; optimizing High Pressure Die Casting, sheet metal Stamping and Extrusion processes in a timely and cost-efficient manner in order to ensure the adoption of the developed alloys. SALEMA will deliver 4 industrial pilots, validate the new developed Al alloys with 5 car-part demonstrations in 5 industrial case studies, which guarantees a prompt industrial deployment and take up.

Keywords: critical raw materials,substitution,recycling,alluminium alloys,automotive sector,electric vehicles,value chain,circular economy,industrial exploitation
Innovative design and control methodologies for large scale solar tracker (IDeCAST)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-07-01
End date: 2025-06-29
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: SIGNED

Solar energy has been considered as one of the viable sources of renewable energy over the past years. Many solar energy collection systems have been developed to convert solar energy into either electrical or thermal power for the industrial and domestic applications. In these systems, solar trackers are generally utilized to increase the solar panel/mirror area exposed to the direction of the sun radiation. However, the current solar tracker mechanisms are heavy, expensive and extremely high energy consumption, which significantly limits the applications of solar energy collection. The objectives of this project are to investigate the innovative design and control method of a new generation of solar tracker which has the characteristics of small torque, low energy consumption and high stiffness. The expected achievements will provide unique techniques/methodologies for breakthrough design and development of solar trackers. In this project, the Grassmann Geometry and the work principle of stone mill in ancient China will be utilized to invent a novel solar tracker with small torque and high energy efficiency, and the performance atlas method will be explored for mechanical structure optimization. Further, the friction compensation and wind disturbance rejection control methodologies are established to improve the performance of the developed system. This project will bring the complementary expertise in advanced measurement and control, robotics and mechanisms led by the Warwick Group and the solar tracker design and analysis by Dr Wu. This combination has placed the team in the best position to achieve the ultimate objectives. The research will provide benefits for the sponsor by publishing high-ranking papers and inventing new solar trackers. The capability of development of new solar trackers is of prime importance to both UK and European engineers and scientists for better utilization of solar energy in the 21st century.

Keywords: parallel mechanism,hybrid robotics,mechanical design optimization,solar tracker