Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
DATASOUND: Understanding data with sound (DATASOUND)

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-2016, 2016)
Start date: 2017-06-01
End date: 2019-05-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

More and more, organizations are generating huge amounts of data, which need to be stored and processed in order to gain useful insights and achieve competitive advantage. While the storage and analysis are nowadays mostly carried out by computers, the interpretation of data is still performed by humans through visual means. This research project proposes a novel and complementary approach to data interpretation by means of sound, and aims to address the scientific question of “Can sound be used for Data Science?”. Its results will be of relevance to identify patterns in real-time continuous data, and it will be tested in the context of real-time energy monitoring in a building. The project will provide the researcher the resources and training for creating and managing a pioneering research lab on data Sonification at the Data Science Institute, Imperial College London.

Keywords: data sonification,energy monitoring,data representation
ENergy-efficient CONTROL with INternet-of-Things connected home solUtiOn (enControl-Intuo)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Spain
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2014, 2014)
Start date: 2015-01-01
End date: 2015-06-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

We propose a connected home solution that helps reduce energy costs while preserving comfort for occupants. Our solution, enControl™-Intuo, leverages the Internet-of-Things and integrates self-learning and adjusting capabilities for interacting with any climate system, from wall units to central heating and air conditioning to radiators. As an added service to our enControl™ energy service platform for utilities, the innovation project integrates a proprietary algorithm to offer seamless energy efficiency to residential utility customers - saving energy and reducing their carbon footprint. The innovation will enable new business models for European utilities: 1.-New energy services to reduce consumption and carbon footprint in homes; 2.-User engagement & customer satisfaction; 3.-Accelerate adaptation to new sources of energy. The innovation is tailored not only to a home’s consumption patterns but also to its energy supply model. It optimizes energy usage with energy availability and variable energy tariffs considering the own-energy generation when computing the optimal policy. In addition, the algorithm learns user comfort preferences reducing user interaction with the system. Our solution allows interoperability of devices from different vendors. We address this challenge with a holistic, scalable and secure Cloud-based software that seamlessly integrates new home devices and equipment and enables users to make their home smarter and more self-sufficient in the future. The solution allows for fast scalability to reach the large and lucrative residential market. With a next-generation service and a recurring monthly revenue model that fits most household budgets, we expect our solution to quickly gain traction in early adopter segments in Europe. These elements will allow us to confidently approach venture capitalists and other outside investors who will provide the capital necessary to quickly expand to other European and global markets.

Keywords: energy eficiency,internet of things,self learning algorithms,smart cities,demand response,renewables,smart homes,interoperability,utilities,virtual thermostat
A high-efficiency energy storage system that captures energy generated from renewable sources, waste energy from industry, and solar radiation, in a compressed fluid and heat pump hybrid system. (TEES)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Israel
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-06-01
End date: 2016-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Despite incentives for their use (e.g. renovation grants in Ireland and the UK, preferential low-interest loans in France and Germany), and their increasing adoption by SME’s, renewable energy sources fail to properly meet the demands of their users. In turn, they fail to effectively reduce demand on fossil fuels and public grids. For solar energy, this is due to an inherent mismatch between the solar peak, in the middle of the day, and the energy demand peaks placed on grids in the mornings and evenings; wind energy suffers from instability due to factors like low or inconsistent wind speeds. TEES makes use of compressed fluid and pumped-heat technology to store energy generated by renewable resources and return it on demand at an efficiency of over 85%. TEES also attends to the challenges of providing a robust electricity grid to communities with unstable grids, or large population centres where demand is beginning to exceed national grids’ ability to provide a stable supply of electrical power.

Keywords: renewable energy,solar,wind,electrical,energy storage,batteries,heat pump,national grid,islands,isolated communities,sustainability
Culture-free strain-level population genomics to identify disappearing human-associated microbes in the westernized world (MetaPG)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: Italy
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-04-01
End date: 2022-09-30
Duration (months): 66.0
Total project cost (EUR): 1499482.0
EU funding (EUR): 1499482.0
Participants: 1
Project status: CLOSED

Investigating symbiotic gut microbes with large-scale comparative genomics would allow gaining crucial insights into the “epidemiology”, genetic diversity, and population structure of hundreds of scarcely characterized microorganisms. However, cultivation-based approaches are ineffective at targeting the large fraction of the gut microbial diversity that is hard be grown in vitro. They are also expensive and time consuming, as they need sampling specific bacteria from geographically separated subjects. On the other hand, cultivation-free metagenomic data is now available for thousands of stool samples collected worldwide, but they are not currently exploited for strain-level microbial population genomics because of the lack of suitable computational methods. In Aim1, we leverage our expertise in computational biology to bridge the gap between the fields of metagenomics and population genomics by developing novel and highly innovative methodologies to extract strain-level genomic and genetic profiles from metagenomic samples with the resolution needed by comparative genomics. Such paradigmatic shift will put us in the position of reusing in Aim2 the thousands of available metagenomes and unravel for the first time the population structure of hundreds of uncultivable gut microbes. Among the novel tasks enabled, we will focus in Aim3 on identifying those microbial strains that are currently disappearing in westernized populations as a consequence of urbanization, industrialization, high-fat diets. We will complement the available data with gut metagenomes from novel targeted cohorts of both westernized and non-westernized populations. Our project defines the foundation for cultivation-free strain-level population genomics, provides comparative genomics results with unprecedented resolution for hundreds of under-investigated microbes, and compiles a catalogue of strains undergoing or at risk of primary, secondary, or ecological extinction in westernized populations.

Keywords: computational metagenomics,microbial population genomics
innovation by developing a European Procurer Networking for security research services (iProcureNet)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
Action type: Coordination and support actions
Countries involved: Estonia,Spain,Estonia,Cyprus,Lithuania,Hungary,Romania,Slovakia,Bulgaria,Slovakia,France,Portugal,United Kingdom
Call: Pan-European networks of practitioners and other actors in the field of security (H2020-SU-SEC-2018, 2018)
Start date: 2019-05-01
End date: 2024-04-30
Duration (months): 60.0
Total project cost (EUR): 1588262.5
EU funding (EUR): 1588262.5
Participants: 17
Project status: SIGNED

The iProcureNet project aims to build an EU network of organisations centred on the procurement of security solutions through the appointed iProcureNet National Contacts (IPNCs), together with a larger community of people composed of individuals and experts interested in procurement. Via the established Network+Community, iProcureNet will facilitate collaboration and dialogue among procurers, enabling: i) coordinated sharing and analysis of procurement trends included in the investment plans, ii) development of common and standardised practices from the technical, legal and financial perspectives, and iii) establishing pathways for joint procurement (JP) of innovative and new to market solutions, research services, and commercial off-the-shelf (COTS) products in the field of security. iProcureNet will develop the iProcureNet Toolbox including a comprehensive methodology, guidelines and a knowledge database of current procurement practices and processes in Europe; and will create a firm foundation for the set-up of Established Buyers Groups (EBGs) – countries which, using the iProcureNet Toolbox, have found common ground and are ready to procure. Close collaboration with related PCP and PPI actions and the practitioner innovation networks will be a key component of the project. Ultimately, iProcureNet, will aim to create a stepping stone to future collaboration in the form of a future investment plan for collaborative procurement actions, and to develop detailed pro-innovation procurement strategies. The Network+Community will be supported by i) the iProcureNet Online Platform (IPOP) enabling professional social networking and online dialogue on good practices and procurers’ needs; ii) a sustainable organisational set-up composed of well organised bodies and processes, and iii) appropriate communication and dissemination activities including Annual Conferences, trainings and workshops. The consortium includes 15 partners, out of which 10 are procurement agencies.

Keywords: public procurement,innovation procurement,joint procurement,network of procurers
Black phosphorous quantum dots as fluorescent nanosensing platforms for detecting unauthorised genetically modified material (UGMNanoSens)

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: Chemistry
Countries involved: Czechia
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-05-01
End date: 2020-04-30
Duration (months): 24.0
Total project cost (EUR): 142720.8
EU funding (EUR): 142720.8
Participants: 1
Project status: CLOSED

The discovery of traces of unapproved genetically modified material in imports arriving to the European Union (EU) has set the alarms on for the European authorities, leading them to reinforce their monitoring procedures. The EU has a ‘zero tolerance policy’ for virtually all unauthorised genetically modified organisms (UGM), prohibiting them to be placed on the EU market even if they have been authorised in third countries. UGM monitoring is carried out in a limited number of enforcement laboratories through highly specialised technologies, mostly based on the real-time polymerase chain reaction. The development of faster, simpler and more cost-efficient analytical systems for UGM testing is greatly encouraged by law-enforcing authorities. The increasing number of functional nanomaterials with interesting properties and exhibiting specific biomolecule interactions, e.g. DNA-graphene, has brought a wide range of opportunities to the field of DNA detection. The interest in nanomaterial-based fluorescent sensors for nucleic acid detection has been growing due to their ease of operation and high sensitivity. In this sense, the use of nanomaterials as fluorophores or quenchers has been especially sought in recent years as they have tunable optical properties and can improve the signal-to-noise ratio as compared to conventional molecular systems. Monolayer black phosphorus (BP), being an important member of the 2D-materials family, has triggered a recent resurgence of interest owing to its unique structure as well as fascinating optical and electronic properties and, most recently, BP Quantum Dots (BPQDs) have shown promising potential in a wide range of applications, some of them yet to be explored. This proposal is aimed at evaluating the use of this emergent material (BPQDs) as fluorescent-based nanoplatforms to make up a rapid and simple DNA-sensing system for monitoring unauthorised genetically modified material (“UGMNanoSens”).
Transforming the glass industry with environmentally clean and energy-efficient laser technology (GLAZER)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Finland
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2020)
Start date: 2020-07-01
End date: 2023-03-31
Duration (months): 33.0
Total project cost (EUR): 3053750.0
EU funding (EUR): 2137625.0
Participants: 1
Project status: SIGNED

GLAZER is a breakthrough solution for high-volume industrial glass processing. It is based on a patented one-of-a-kind CO2 nanosecond-pulsed laser, which was invented, developed and manufactured by Hypermemo specifically for industrial glass processing. Unique features of the system allow precise and fast processing of glass, clearly outperforming all the conventional methods. GLAZER helps eliminate multiple mechanically performed processing operations, such as breaking, grinding and polishing, which produce environmentally hazardous waste. In addition, it eliminates washing and drying operations. This allows making the production process much cleaner, faster and cheaper, also decreasing the investment and maintenance cost. In addition, it provides significant environmental and societal impact, as the eliminated process phases carry the heaviest carbon footprint and are the most hazardous in terms of occupational safety. Being largely exploited by the industry, GLAZER has the potential to save an astonishing 41TWh of energy annually, reducing GHG emissions by 5Mt of CO2eq. GLAZER was prototyped and tested with different types of glass, providing excellent quality and confirming its capability to disrupt the traditional and dirty manufacturing sector with the total market size of €1+ billion. The project’s objective is to industrialize the technology and bring it to the market. Several first-tier glass manufacturers and glass processing machinery vendors confirmed their willingness to conduct GLAZER trials in the real production environment. They will support these trials with financial contribution. As a result of implementing GLAZER technology, the industry will recover within the EU and become cleaner, imposing much lower energy usage and associated carbon footprint. This is a very important impact, as the EU is the world's biggest producer of glass with a market share of around one third of total world production. In 2012, the sector employed 100 thousand people

Keywords: glass processing,sustainable manufacturing,energy efficiency,clean tech
Taming the environmental impact of mobile networks through GREEN EDGE computing platforms (GREENEDGE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain,Italy,Belgium,Finland,France,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2021-03-01
End date: 2025-02-28
Duration (months): 48.0
Total project cost (EUR): 4040686.08
EU funding (EUR): 4040686.08
Participants: 8
Project status: SIGNED

Modern communication networks are rapidly evolving into sophisticated systems combining communication and computing capabilities. Computation at the network edge is key to supporting many emerging applications, from extended reality to smart health, smart cities, smart factories and autonomous driving. Multi-access edge computing (MEC) technology is being developed to deliver the required computation functionalities closer to user devices, directly at mobile access points. GREENEDGE is motivated by the fact that the large scale adoption of MEC technology, while benefiting human productivity and efficiency, will result in a surge of data and computation in mobile networks, which, in turn, will exacerbate their energy consumption. GREENEDGE is set out to tame the growing carbon footprint of MEC technology, devising highly energy efficient communication and computing functionalities for the network edge, combining them with ambient energy sources and with new energy storage and supply paradigms. As a result, GREENEDGE technology will allow mobile systems to offer the much anticipated communication and computing services in a sustainable manner. Fifteen early stage researchers (ESRs) will be trained by a consortium of world-class leaders across the fields of energy harvesting, storage, edge computing, optimization, machine learning and wireless communications. Ample inter-sectoral opportunities will be offered thanks to secondments among academy/research centers, two network operators, and other prominent industrial partners operating in the domains of Internet of Things, smart cities, critical infrastructure management and data analytics. A carefully planned and coordinated training and research program will ensure excellent employability prospects for the ESRs after the project completion.

Keywords: edge computing,energy sustainability,ambient energy harvesting,mobile communication networks
European Network for Alloys Behaviour Law Enhancement (ENABLE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain,Spain,Sweden,Sweden,Belgium,France,France,France,France,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2018-02-01
End date: 2022-01-31
Duration (months): 48.0
Total project cost (EUR): 2316282.12
EU funding (EUR): 2316282.12
Participants: 17
Project status: CLOSED

ENABLE aims to train early-stage researchers in what is referred to as an outstanding challenge for the future of manufacturing: developing novel solutions for forecasting and mastering processes relevant for all factories using metallic alloys. ENABLE proposes a complete rethink of the usual process simulation method by developing innovative multiscale, multi-physical and multi-level advanced (TRL 1 to 8) simulation. To extend the benefits to a wide range of industrial actors, the simulation will be carried out on several widely-used processes: Machining, Friction Stir Welding and Additive Manufacturing. The most popular metals in industry (Titanium, Nickel based and Aluminium alloys) will be chosen for the scientific investigation. ENABLE will lead to the development of new tools that are better suited to production (reduced premature wear, increased service life, improved tools, etc.) and will reduce production time and thereby production costs. A group of 9 ESR will be introduced to dynamic approaches to exploiting advances in fundamental research towards innovative applications. To “enable” this vision, each trainee will have access to closely integrated complementarities and world-class expertise in mechanical science, materials science, computer science/numerical methods, state-of-the-art scattering, advanced equipment and significant computational resources. Additional cross-disciplinary training and a strong involvement on the part of the 12 Industries and SMEs and research centres will provide the students with transferable skills and complementary competencies which will improve their research training and enhance their future employability. The proposed project has been co-constructed by academics and industries in line with today’s markets requirements and taking into account the “knowledge triangle philosophy” focusing on a strong interaction between research, education and innovation, which are key drivers of a knowledge-based society.

Keywords: behaviour law,multiscale multiphysical modeling,rapid dynamic processes,machining,friction stir welding,additive manufacturing,metallic material,titanium based nickel alloys,finite element method
The search for the nature of dark energy and its equation of state (D.E.E.O.S.)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Intra-European Fellowships
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom
Call:  (FP7-PEOPLE-2009-IEF, 2009)
Start date: 2011-01-01
End date: 2012-01-31
Duration (months): 13.0
Total project cost (EUR): 166040.8
EU funding (EUR): 166040.8
Participants: 1
Project status: CLOSED

Understanding of the nature of dark energy is currently one of the most important and topical problems in cosmology. This project aims to study the problem of dark energy. It aims to investigate how matter inhomogeneities that are present in the Universe affect the results of cosmological observations and if they can account for dark energy. There have been already a number of findings which show that one can fit cosmological observations (supernova, CMB, H(z)) without the need for dark energy. Instead of invoking dark energy, these inhomogeneous models assume existence of Gpc-scale inhomogeneities. This is a very tempting and elegant explanation since it requires neither exotic forms of energy nor new laws of physics. However, these types of models require further tests against available observations and this project aims to do that. Also it focuses on problems of evolving dark energy models and the possibility of distinguishing observationally between models of constant dark energy (cosmological constant) and evolving dark energy. Therefore, the results of this project will contribute to improvement of our understanding of the Universe.

Keywords: astronomy,cosmology,dark energy,inhomogeneous structure of the universe