Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
CRISPR genome-editing of corals to understand the genetic response of corals to ocean warming (CORALCARE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Australia,France
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-11-01
End date: 2024-10-31
Duration (months): 36.0
Total project cost (EUR): 281827.2
EU funding (EUR): 281827.2
Participants: 2
Project status: SIGNED

The CORALCARE project studies the genetic response of corals to ocean warming. The world’s coral reefs are being severely impacted on a global scale by rising temperature that has led to increased coral bleaching and mortality. It is uncertain that these unique ecosystems will be able to adapt to this unprecedented pace of warming. Coral reefs are often referred as the ‘rainforest of the ocean’ and their potential loss puts an astounding EUR 9 trillion of biodiversity and ecosystem services at risk annually. The major goal for the management of coral reefs is to both predict the ability of natural coral populations to adapt to future climate change and to assist this evolution, in order to minimise their loss. However, assisted evolution requires a deep understanding of coral genetics, which is still in its infancy. This is why the overarching project aim is to understand genes and pathways that lead to thermal tolerance in corals. For the first time in the world, the cutting-edge genome-editing CRISPR/Cas9 and CRISPR/dCas9 techniques will be developed in corals, and allow us to disrupt gene function as well as turn genes on or off, to identify thermotolerance-related functions. The project aim will be tackled by: (1) scaling-up the CRISPR/Cas9 method for high-throughput gene editing during the short annual coral spawning, and establishing the CRISPR/dCas9 method for gene regulation in corals; (2) editing corals using the two CRISPR methods to test the function of candidate genes. The research is topical and highly innovative in using CRISPR genetic engineering for functional genomics, which will strengthen Europe’s quality and attractiveness in R&I. To undertake this research, the early-career researcher who has expertise in evolutionary biology will receive training in CRISPR by world’s experts, and transfer knowledge to EU. This groundbreaking project will establish the Fellow as a prominent coral scientist who will lead Australian-French collaborative research.

Keywords: acropora millepora,australia great barrier reef,climate change,coral larvae,crispr,electroporation,gene regulation,genetic adaptation,new caledonia lagoon,rna sequencing
Next generation motion sensing bands for promotion of fitness and health tracking (Atomic Bands)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-06-01
End date: 2019-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Exercise is a fundamental aspect of maintaining a healthy lifestyle however most people don’t enjoy exercise because it is either too time consuming or not intellectually stimulating. 97% of people believe in the need for physical fitness, however less than 5% of adults participate in the recommended minimum 30 minutes of exercise each day, while 75% of kids get less than 1 hour of exercise per day. Obesity of the general population expected to reach 9.1% of the population in 2020 equating to approximately 750 million people. With an increasing number of available game types and methods of gameplay, over 700 million people worldwide play video games. Mainstream gaming systems have an additional motion tracking hardware that can be purchased in conjunction to expensive consoles. These devices however, only monitor and project physical movement as opposed to teaching and correcting movement. The Funky Bots Atomic Bands offer a cheap alternative to the mainstream gaming consoles and provide access to a large fitness/gaming library at no added cost. The device comes equipped with a heart rate monitor, calorie counter, and state of the art motion algorithms for tracking, logging, coaching, and analysis of physical performance. Funky Bots is initially targeting users whom are prone to martial arts and dancing, however as the product gains market traction, the diversity of augmented reality games will attract users of all sports and fitness levels. During the phase 1 feasibility assessment, Funky Bots will perform an in depth market analysis, establish a go-to-market strategy, and run a small scale user-experience test. Further development plan and industrialisation strategy will also be established.

Keywords: interactive physical fitness,health tracking,obesity,gesture recognition algorithm,overweight,gaming
Transformation of kraft lignin into a biodegradable biopolymer (Ligninpolymers)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Sweden
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-06-01
End date: 2018-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

RenFuel, a Swedish SME which has developed a drop-in biofuel, Lignol, from kraft lignin, has now developed a process for transforming lignin into a biopolymer, Renol. Renol, a biodegradable biopolymer with strong material properties, represents an alternative to many plastics, such as polystyrene (PS), which are associated with serious environmental and health issues. Growing concerns regarding the problem of plastic in our oceans is leading to legislation banning certain plastics and driving demand from brand owners for replacement products. Starch based bioplastics, already available in the market, are limited in terms of applications as they are not water resistant. Renol, in contrast, can be used in a wide range of applications and in fact offers superior material qualities to some fossil-based polymers (e.g. mechanical strength, UV stability and fire-resistance). It is suitable for use in products which must be durable while in use, but, unlike most plastic, it will degrade (in a compostable environment) when no longer needed. Kraft lignin is a waste product of kraft pulping (widely used for the manufacture of pulp and paper). RenFuel's solution offers to add value to lignin waste - thus representing a circular solution to the plastics pollution problem. Lignin raw material is widely available in the pulp industry, in sufficient volumes to hypothetically replace a significant percentage of the fossil fuels used in the global plastics market. RenFuel's business model involves the sale of Renol in pellet form to compounders, for mixing with existing (fossil-based) polymers to manufacture an end plastic product with a percentage of biodegrability - and potentially also add other valuable properties. In the Phase I project, RenFuel will identify high value niche markets for biopolymer pellets, to enter initially into low volume processing (several thousand tons). Longer term, in higher volume production, it aims to compete directly in bulk plastics mar

Keywords: lignin,biodegradable plastics,biodegradable polymers,renewable lignin
Constrained Low-Rank Matrix Approximations: Theoretical and Algorithmic Developments for Practitioners (COLORAMAP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Belgium
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-09-01
End date: 2021-08-31
Duration (months): 60.0
Total project cost (EUR): 1291750.0
EU funding (EUR): 1291750.0
Participants: 1
Project status: CLOSED

Low-rank matrix approximation (LRA) techniques such as principal component analysis (PCA) are powerful tools for the representation and analysis of high dimensional data, and are used in a wide variety of areas such as machine learning, signal and image processing, data mining, and optimization. Without any constraints and using the least squares error, LRA can be solved via the singular value decomposition. However, in practice, this model is often not suitable mainly because (i) the data might be contaminated with outliers, missing data and non-Gaussian noise, and (ii) the low-rank factors of the decomposition might have to satisfy some specific constraints. Hence, in recent years, many variants of LRA have been introduced, using different constraints on the factors and using different objective functions to assess the quality of the approximation; e.g., sparse PCA, PCA with missing data, independent component analysis and nonnegative matrix factorization. Although these new constrained LRA models have become very popular and standard in some fields, there is still a significant gap between theory and practice. In this project, our goal is to reduce this gap by attacking the problem in an integrated way making connections between LRA variants, and by using four very different but complementary perspectives: (1) computational complexity issues, (2) provably correct algorithms, (3) heuristics for difficult instances, and (4) application-oriented aspects. This unified and multi-disciplinary approach will enable us to understand these problems better, to develop and analyze new and existing algorithms and to then use them for applications. Our ultimate goal is to provide practitioners with new tools and to allow them to decide which method to use in which situation and to know what to expect from it.

Keywords: linear dimensionality reduction,hyperspectral imaging,document classification,nonnegative matrix factorization,robust principal component analysis,missing data
Centre of Excellence in Production Informatics and Control (EPIC)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Framework Partnership Agreement
Countries involved: Austria,Germany,Hungary
Call: Teaming (H2020-WIDESPREAD-2014-1, 2014)
Start date: 2015-05-06
End date: 2020-05-05
Duration (months): 60.0
Total project cost (EUR): 0.0
EU funding (EUR): 0.0
Participants: 6
Project status: CLOSED

The main, overall objective of the proposal is to establish the Centre of Excellence in Production Informatics and Control (EPIC) as a leading, internationally acknowledged focus point in the field of production informatics, management and control representing excellence in R&D&I. EPIC will be constituted and run through the cooperation of the Institute for Computer Science and Control, Hungarian Academy of Sciences (MTA SZTAKI), two faculties of the Budapest University of Technology and Economics (BME) and four institutions of the Fraunhofer-Gesellschaft (FhG) under the coordination of the National Innovation Office (NIH), Hungary as a governmental decision maker. The EPIC project will lead to: 1. The upgrade of MTA SZTAKI as existing Centre of Excellence of the EU. 2. The further development of the Fraunhofer-SZTAKI Project Centre for Production Management and Informatics (PMI), a joint initiative of FhG and the Hungarian Academy of Sciences (MTA), established in 2010. (The cooperating Fraunhofer institutions have been the Fraunhofer Institute for Manufacturing Engineering and Automation (IPA), Stuttgart and Fraunhofer Austria (FhA)). 3. The extension of the present cooperation with two faculties of BME, i.e., the Faculty of Mechanical Engineering (GPK) and the Faculty of Transportation Engineering and Vehicle Engineering (KJK), on the one hand, and with two additional institutes of FhG, i.e., the Institute for Production Technology (IPT), Aachen and the Institute for Production Systems and Design Technology (IPK), Berlin. 4. The close cooperation with SMEs as well as with large industrial firms. Due to direct, institutionalized and supported interactions with Fraunhofer, not only the scientific capabilities of the Hungarian partners but also their ability to transfer scientific results to industry-relevant applications will be greatly enhanced. By this way a “high speed lift” to innovation culture and performance in Hungary and the CEE region will be provided.

Keywords: production informatics and control,cyber physical production systems,robust,cooperative systems,innovation,technology transfer
European Framework Initiative for Energy and Environmental Efficiency in the ICT Sector (ICTFOOTPRINT.eu)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: Coordination and support actions
Countries involved: Italy,Belgium,France,France,United Kingdom
Call: Supporting the community in deploying a common framework for measuring the energy and environmental efficiency of the ICT-sector (H2020-LCE-2015-3, 2015)
Start date: 2016-02-01
End date: 2019-01-31
Duration (months): 36.0
Total project cost (EUR): 404401.25
EU funding (EUR): 400000.0
Participants: 7
Project status: CLOSED

ICTFOOTPRINT.eu, EU Framework Initiative for Energy & Environmental Efficiency in the ICT Sector aims to deliver a practical response to the outcome of the pilot study conducted by the EC back in 2013 for the adoption of ICT footprint calculation methodologies. Too many organisations, whilst wanting more energy-efficient products & services do not know where to start nor have the adequate time or resources to pursue this efficiently. The project aims to change this by raising awareness but at the same time create an ecosystem allowing a win-win approach to end-users or providers of ICT services (including data centres & networks), ICT large players, SDOs, Public Authorities & Legislators. Specific Goals include: Create an LCE Support Framework Platform informing end-users, agnostically, of ICT specific methodologies available & support them Create a marketplace of opportunities for solution providers in ICT energy & environmental efficiency Deliver a tool allowing SMEs, to make an assessment of their carbon footprint Interface & engage with relevant stakeholders to disseminate the methodologies Produce the ICTFOOTPRINT.eu Policy Action Plan Strategy Report Provide Sustainability-driven Mechanisms to involve & incentivize all players that are necessary to create the aforementioned ecosystem. The consortia is led by a lean, skilled & complementary consortia. Trust-IT, a dynamic UK, SME over 20 yrs of experience on EC related support activities & communicating ICT innovation for its global network. Professional partners BIOIntelligence Services/ Deloitte, FR, centre of excellence & innovation in the field of sustainability & brings with it the necessary ingredient of finding answers to clients facing environmental challenges. The Green Digital Charter/ EuroCities BE, over 40 major EU cities to working together to deliver on the EU climate objectives through the use of ICT. Stakeholders involved through an External Advisory Group passionate about IT resource efficiency.

Keywords: energy and environmental efficiency in the ict sector,measurement of carbon footprint in ict sector
Ultra-Fast Reliable Radio Control Systems for Avionics (Project Racoon)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2019)
Start date: 2020-02-01
End date: 2022-01-31
Duration (months): 24.0
Total project cost (EUR): 3063000.0
EU funding (EUR): 2144100.0
Participants: 1
Project status: SIGNED

Advances in automating transport and industry – the realisation of the Industrial Internet of Things – are being held back by something very simple: wiring. There are 550km of wires in an Airbus A380 plane: 7.5 tonnes of cabling adding to fuel consumption on every flight. Wiring costs money: in weight, installation time, maintenance, and retrofitting. But until now the accuracy and latency needed for automated machine control systems using wireless technology have simply not been available: too much data is lost and lag is too great for industrial automation, still less aircraft controls. R3 is a German software company whose goal is to fix that, making wireless as effective as wires. Our world-first innovation uses “co-operative diversity” between transmitters: we leverage all the chips in a system as “assistant senders” to each other. We have demonstrated we can cut data loss to <3 packets in 10M and achieve sub-10-ms latency. That is 124x better than any competition, and runs on standard wireless chips. As a result we already have clients in in robotics and factory automation. But we see a transformative business opportunity worth tens of millions of euros of early revenue in the aviation sector, and we therefore seek funding for a project to build a new and massively more reliable co-operative wireless architecture for high-performance avionics in a Eur78bn market. We can’t replace all the wiring in a plane, but we can seriously contribute to future low-emissions aircraft, with flexible wireless controls that enhance safety and create ROI across aviation. We are have contracts with or LOIs from future customers in aircraft manufacture, airline operations/maintenance, cabin fittings and equipment services, avionics manufacture, and the booming aircraft retro-fitting sector. This project will position R3 for rapid growth, first by transforming the avionics controls market; and then feeding back to our existing client base and accelerating industrial automation.

Keywords: wireless controls,wireless automation,wireless avionics intra communication waic,ultra reliable low latency communication urllc
ENERgy-efficient manufacturing system MANagement (EnerMan)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Innovation actions
Countries involved: Austria,Italy,Austria,Germany,Ireland,Italy,Italy,Germany,Germany,Cyprus,Greece,Greece,Switzerland,Türkiye,Bulgaria,Greece,Greece,France
Call: Energy-efficient manufacturing system management (IA) (H2020-NMBP-TR-IND-2020-singlestage, 2020)
Start date: 2021-01-01
End date: 2023-12-31
Duration (months): 36.0
Total project cost (EUR): 12202500.0
EU funding (EUR): 9758587.5
Participants: 26
Project status: SIGNED

ENERMAN envisions the factory as a living organism that can manage its energy consumption in an autonomous way. It will create an Energy sustainability management framework collecting data from the factory and holistically process them to create dedicated energy sustainability metrics. These values will be used to predict energy trends using industrial processes, equipment and energy cost models. ENERMAN will deliver an autonomous, intelligent decision support engine that will evaluate the predicted trends and access if they match predefined energy consumption sustainability KPIs. If the KPIs are not met, ENERMAN will suggest and implement changes in energy affected production lines control processes: an energy aware flexible control loop on various factory processes will be deployed. The ENERMAN administrators will be able to use the above mechanisms in order to identify how future changes in the production lines can impact energy sustainability using the ENERMAN prediction engine (based on digital twins) to visualize possible sustainability results when in-factory changes are made in equipment, production line. The ENERMAN digital twin will predict the economic cost of the consumed energy based on the collected and predicted Energy Peak load tariff, Renewable Energy System self-production, the variations in demand response, possible virtual generation and prosumer aggregation. Finally, ENERMAN considers the operators actions within the production chain as part of a factory’s energy fingerprint since their activity within the factory impacts the various production lines. In ENERMAN, we include a training mechanism with suggested personnel good practices for energy sustainability improvement through the production lines. Current and predicted energy consumption/sustainability trends on specific assets of the factory are collected and visualized in a Virtual, eXtended reality model of the factory to enhance the situational energy awareness of the factory personnel.

Keywords: sustainability
Cost effective wind turbine of 40 kW of rated capacity (Eciwind)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Spain,Spain
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-2-2014, 2014)
Start date: 2015-05-01
End date: 2018-11-30
Duration (months): 43.0
Total project cost (EUR): 1867578.75
EU funding (EUR): 1307305.0
Participants: 2
Project status: CLOSED

The project arises from a joint venture between Enair Energy SL and Lancor 2000 S Coop to develop a Cost efficient Small Wind Turbine (SWT) of 40 kW rated capacity (ECIWIND®).Within the wind energy sector, the small wind power is growing: According to World Wind Energy Association the small wind power market is expected to increase massively, from 768 M€ in 2013 to 2517 M€ by 2020, at a CAGR of 22%.The main challenge of the small wind energy industry is to decrease its costs to push a socialisation of this renewable technology. Thus, this electricity generation will be more competitive in the energy market and independent of the subsidies. The European Commision highliths the importance of Small and Medium Enterprises (SMEs) as small energy producers and the need to empower them to take up this role. Several european SMEs such as farms (200-400 kWh/day) and small industry (200- 450 kWh/day). In the case that these end users are located in areas where annual average wind velocity is higher than 5 m/s, small wind turbines in the 10-50 kW capacity is the best option to cover their energy needs. The acquisition and commissioning costs of SWT in this capacity range rounds 4000 €/kWh and have annual maintenance average costs of 1500 €/year depending on the configuration, which makes unaffordable the investment without government subsidies. The price reduction on this capacity range can be approached through the elimination of costly parts of current technologies as the Gearbox, and the optimization of the cost/performance of the rest of components.Enair and Lancor have therefore identified a business opportunity for SWT technologies and have developed a first prototype of ECIWIND® at 10 kW scale (free-gearbox with pitch control and permanent magnet generator SWT) that requires 50% less maintenance and decrease the price to end user installed in 40%, which entails an investment payback period <6 years without any government subsidy.

Keywords: energy harvesting,buoys,sea wave,power autonomy