Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A Decision-making Tool for Fully Exploiting Big Bio-Data (OMICpro)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-11-01
End date: 2019-02-28
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The huge amount of information (big data) originated in life science experiments, together with the highly increasing number of Bioinformatics software tools to extract knowledge from that unstructured data present serious difficulties for the scientific community to digest and extract conclusions from them. Additionally, the lack of IT technical knowledge to install, run and integrate the different tools in the required, repeatable “pipelines” and the expensive high-performance computational resources required for such amount of data and complex software ecosystem is not always at hand of smaller organisations. OmicX is a French startup fully dedicated to OMICpro project, invested by private equity and business angels, with 35 employees highly qualified in Bioinformatics and data science. As the first product and the basis of OMICpro project, OMICtools (the most important Bioinformatics ontology database worldwide) has 10,000+ subscribers. Next developments in OMICpro consist of an integrated web-interface/AI/big-data/cloud framework for: - Bioinformatics tool identification and selection (OMICtools) - Optimal pipeline recommendation for any given biologically-related question (OMICpipes) - Super-computing environment (OMICloud) to accelerate and simplify the research process through biological data analysis and interpretation This will help research organisations to: - Reduce research & Simulation time (6 person-month/project) - Advice on robust pipeline design and optimisation - Unlimited computing power for complex pipelines - Avoid IT technical knowledge requirements For our company, we will become the global reference in bioinformatics data analysis (80% global research), export knowledge to other industries and have unique assets of Big Bio Data + AI/machine learning + Cloud applied to biology.

Keywords: bioinformatics,search engine,optimal pipeline,database,complex software ecosystem
Adhesion Multiphysics of Rubberised Asphalt Binders (AMRAB)

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: 2021-10-01
End date: 2023-11-29
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: SIGNED

AMRAB aims to train a talented research Fellow through an interdisciplinary project focused on modelling the coupled adhesion multiphysics in the interfacial zone between crumb rubber modified binders (CRMB) and mineral aggregates under various environmental conditions. The primary deliverables of the project include a fundamental understanding of adhesion mechanisms, an accurate prediction framework and evaluation protocol for the adhesive properties of CRMB, and an implementation of industrial adhesion promoters and technologies in rubberised road construction. The Fellow will receive intensive technical training from both academic and industrial hosts, which will substantially extend his expertise from construction asphalt materials to a multidisciplinary field of chemistry (UoN), mechanics and computational modelling (Aston and KTH), experimental characterisation (UoN and RWTH) and road engineering applications (Total and AI). The Fellow will also receive inter-sectoral and professional skills training in project management, outreach, networking, and intellectual property protection. The benefits brought by AMRAB is represented by strengthening the EU industry leadership in adhesive material innovation and aiding the EU engineers in rubberised asphalt material selections, road structural design, and techno-economic analysis. The implementation of adhesion promoters and technologies for CRMB in rubberised road infrastructures will extend the road service life, increase the recycling of waste tires, and ultimately reduce the greenhouse gas emissions and consumption of petroleum bitumen. Uniquely, the project will enable the Fellow to obtain interdisciplinary knowledge and inter-sectoral complementary skills by building a new and exciting research field, which will pave a solid foundation for the Fellow towards his career of being an independent expert researcher in the areas of infrastructure sustainability and construction materials at a top European university.

Keywords: construction materials,road infrastructures,rubber,bitumen,asphalt,adhesion,multiphysics
Perception with New Sensory Signals (NewSense)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-05-01
End date: 2025-10-31
Duration (months): 78.0
Total project cost (EUR): 1955952.5
EU funding (EUR): 1955952.5
Participants: 1
Project status: SIGNED

Advances in wearable displays and networked devices lead to the exciting possibility that humans can transcend the senses they were born with and learn to ‘see’ the world in radically new ways. Genuinely incorporating new signals in our sensory repertoire would transform our everyday experience, from social encounters to surgery, and advance us towards a technologically-enhanced ‘transhuman’ state. In contrast, current additions to sensory streams such as navigating with GPS are far from being incorporated into our natural perception: we interpret them effortfully, like words from a foreign menu, rather than feeling them directly. In this project, we use a ground-breaking new approach to test how new sensory signals can be incorporated into the fundamental human experience. We train participants using new immersive virtual-reality paradigms developed in our lab, which give us unprecedented speed, control and flexibility. We test what is learned by comparing different mathematical model predictions with perceptual performance. This model-based approach uniquely shows when new signals are integrated into standard sensory processing. We compare neuroimaging data with model predictions to detect integration of newly-learned signals within brain circuits processing familiar signals. We test predictions that short-term changes to normal visual input can improve adult plasticity, and measure age-changes in plasticity by testing 8- to 12-year-old children. In a wide-ranging design allowing for domain-general conclusions, we work across modalities (visual, auditory, tactile) and across two fundamental perceptual problems: judging spatial layout (‘where’ objects are) and material properties (‘what’ they are made of). The work will provide fundamental insights into computational and brain mechanisms underlying sensory learning, and a platform for transcending the limits of human perception.

Keywords: multisensory perception,cue combination,perception and action
Innovative energy management technology for smart energy decisions (INNOEM)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Sweden
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Watty can pin-point the smartest way to save energy in any home with just a single piece of low-cost hardware. Our innovative technology analyses the total energy use in a household and breaks it down into its components, i.e. the energy use per appliance. The technology deciphers a distinctive behaviour and usage pattern for every appliance and is thus able to diagnose the entire energy usage of a household in detail. The implementation of this technology will for the first time permit households to make concrete, smart energy saving decisions based on detailed data about the real-time usage of their appliances. As this can help households save 10-30% of their energy use, it will both help the users to reduce costs, while at the same time make a large contribution to the EU objective of a 20% energy saving by 2020. Our product offer is composed by a single piece of low-cost hardware for data gathering and additional software components for the data read-out and analysis. In our envisaged innovation project we envisage to scale up the existing prototype for the hardware, and further develop the software analysis to fully meet the needs of the users. The market for our products closely follows the roll-out of smart meters across Europe. The total addressable market is estimated to 50 million households in 2015 (Nordic countries and Italy), but is expected to grow to 400 million European households within the next five years, thus opening up great opportunities for the commercial exploitation of our technology. The IMMOEN project aims at conducting a market study and defining the business strategy needed to full exploit the commercial potential of our innovative technology on energy markets across Europe. The end result of the project will be a detailed business plan that fully meets the user needs and market conditions in Europe.

Keywords: energy saving,energy data analysis,smart meter,energy use,energy management,machine learning
Hybrid Variable Geometry Ejector Cooling and Heating System for Buildings Driven by Solar and Biomass Heat (Hybrid-BioVGE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Low-cost, low-carbon energy supply
Action type: Innovation actions
Countries involved: Austria,Italy,Austria,Austria,Switzerland,Poland,Portugal
Call: Increased performance of technologies for local heating and cooling solutions (H2020-LC-SC3-2018-RES-SingleStage, 2018)
Start date: 2019-06-01
End date: 2022-11-30
Duration (months): 42.0
Total project cost (EUR): 3701857.5
EU funding (EUR): 3362670.0
Participants: 8
Project status: SIGNED

The Hybrid – BioVGE project has the primary objective of developing and demonstrating a highly integrated solar/biomass hybrid air conditioning system for space cooling and heating of residential and commercial buildings that is affordable, operating with improved efficiency and reduced need for maintenance. The proposed system will be driven by heat, using two renewable energy resources: solar thermal and biomass. Only a small amount of electricity will be needed for the circulation pumps and the control system (less than 5% of the total needs). Thus, it is expected that 95% of the building thermal load will be satisfied by renewable energy. The Hybrid-BioVGE project is a cooperation of seven key research institutions and companies of the required trans-disciplinary approach. The proposed system will be composed by a number of major components, including solar collector field, biomass boiler, thermal energy storage unit using PCM, thermally driven variable geometry ejector chiller, heat distribution and intelligent integrated control system. The Hybrid – BioVGE system represents innovative solutions at both component and system levels. Component level innovations include e.g. the application low cost solar collectors, high performance variable geometry ejector chiller, multi-fuel biomass boiler. At the system level, innovation effort will be carried out in order to reduce system complexity and to develop an intelligent energy monitoring and control unit that will lead to efficient operation of its components, with reduced cost and little need for interference by the end user. The potential of the proposed technology will be demonstrated by testing three small scale prototypes, adequate for residential and small commercial buildings, under different European climatic conditions: heating load dominated; balanced heating and cooling load; and cooling load dominated. A TRL of 7 for the Hybrid – BioVGE system will be achieved by the end of the project.

Keywords: solar thermal energy,biomass,space heating and cooling,variable geometry ejector chiller,integrated control
Smart Forests: Transforming Environments into Social-Political Technologies (SmartForests)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Social World and Its Diversity
Panel description: Sociology, social psychology, social anthropology, education sciences, communication studies
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-05-01
End date: 2025-04-30
Duration (months): 60.0
Total project cost (EUR): 1996004.0
EU funding (EUR): 1996004.0
Participants: 1
Project status: SIGNED

Forests are crucial to acting on environmental change. They are key contributors to the carbon cycle and biodiversity, as well as air and water quality. At the same time, digital technologies are reshaping forests in order to manage and enhance their environmental contributions. However, these new technologies are generating social-political impacts that have yet to be extensively researched. For the first time, this groundbreaking project addresses the vital question of how forests are becoming “smart” through the increasing use of digital technologies to manage these environments. Smart forests span locations from Germany to New York City to Thailand, and from remote to urban areas. While there is now extensive research on smart cities, other “smart” environments have been less well studied. This is problematic, since it is necessary to assess how these technologies enable and constrain particular modes of governance and engagement. Without this research, smart environments such as smart forests run the risk of producing social-political inequities and undemocratic governance, as has been identified with smart cities. Using inventive digital practices, fieldwork, participatory workshops and mapping, the research will investigate the transformation of forests and forest communities through digital technologies. Through 5 case studies, the project will analyze the ways in which forest technologies are transforming practices of observing, mitigating, participating in, and regulating environmental change. SmartForests asks not just how digital technologies are remaking forests, but also investigates how forests become social-political technologies for addressing environmental change. Situated at the intersection of science and technology studies (STS) and digital media studies, the research will demonstrate how these technologies impact socio-ecological relations, and will propose more equitable approaches to digital and environmental practice and policy.

Keywords: digital technology,smart environments,environmental media,forests
HIGH DATA RATE SIGNAL GENERATION FOR 5G WIRELESS COMMUNICATIONS (PURE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Spain
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-02-01
End date: 2017-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The need of facing the broadband and large network coverage requirements of the future 2020 fully-connected society as geared the telecom industry to work on the next generation of mobile communications, 5G (ERIKSSON: for 2022, 67% wireless traffic, 7 trillion of devices exchanging 61TB per second) for all kinds of applications and services. With near 89.0 Million subscriptions, the industry is already moving forward with strong determination, with key players racing to thrive in this multi trillion market (European Commission - 5G-PPP, Cisco, Ericsson, Intel, AT&T, HUAWEI or Samsung). The shift to 5G has unveiled an urgent need to remodel and deploy new infrastructures to be ready for such a demanding scenario (1000x bandwidth per unit area, and up to a 10Gbps speed, extremely low latency and response times). In economic terms it represents a USD 385 billion in a 12 years CAPEX horizon for infrastructures. In technical terms, 5G will have to handle signals at several different carrier frequencies, needing multi-frequency and multi-protocol base stations with multiband transceivers. Key players are still exploring solutions based on traditional RF (radio frequency) and pure electronic as for the previous generations, but thess technology era reaching its peak of capabilities, and experts agree that that approaches will never meet the needs of 5G. Luz WaveLabs (LWL) brings a powerful solution to this limitation: As optical fiber solved the bandwidth limitations of wired networks, LWL will disrupt the next generation of wireless communications bringing to the market the first commercial high data rate signal generation able to be integrated in telecom infrastructures. It combines the best of RF and photonic technology to provide ACTUAL optical fiber bandwidth (up to 40Gbps, 1Tbps) for wireless communications. The technology has been prototyped and initially validated, and the company has already confirmation of potential customers that are interested in acquiring it.

Keywords: 5g ppp,transceiver,photonics,gsma,telecommunications infrastructures,mobile communications
In vivo super-resolution imaging of synapses in the hippocampus (IVSTED)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-05-01
End date: 2021-04-30
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

The hippocampus is a deeply embedded region in the mammalian brain that has long been considered the archetypical center for memory formation. Hippocampal neurons process information by integrating a vast number of synaptic inputs via dendritic spines. These postsynaptic structures are highly dynamic and their plasticity is hypothesized to be important structural correlate of the memory trace. However, due to their nanometric size and high density, it is extremely challenging to study the function and regulation of dendritic spines under realistic experimental conditions. Indeed, conventional light microscopy fails to properly resolve them while electron microscopy only provides snapshots from fixed brain sections. Therefore, our view of spine dynamics remains very incomplete, limiting our understanding of the synaptic mechanisms underlying brain physiology and animal behavior. Leveraging recent advances in optical microscopy, adaptive optics and mouse brain surgery, this project seeks to establish a new paradigm based on correlating super-resolution imaging of dendritic spines in living mice with behavioral analyses of the capacity of mice to learn and remember things. To this end, I will (1) establish super-resolution imaging of spines in the deeply embedded hippocampus, (2) perform longitudinal imaging to determine spine morphology and turnover over the course of weeks in live animals and (3) investigate how spine plasticity correlates with memory performance in the same animal. This project builds on my expertise in biophysics and advanced microscopy and will offer me a unique opportunity to contribute to a dynamic research field at one of the top places for neuroscience in Europe. Going significantly beyond the state-of-the-art, this project will push the frontier in neuroimaging, shedding new light on the anatomical basis of memory formation and providing a framework to analyze in vivo the cellular mechanisms of memory impairment in neurodegenerative diseases.

Keywords: sted microscopy,in vivo imaging,adaptive optics,dendritic spines,hippocampal rewiring,structural plasticity,learning and memory,chronic imaging
Models and Methods for an active ageing workforce: an international academy (MAIA)

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: Information Science and Engineering
Countries involved: Germany,Germany,Germany,Germany,Italy,Slovenia,China,New Zealand,France,France,United States,Canada,Japan
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2019, 2019)
Start date: 2020-01-01
End date: 2025-10-31
Duration (months): 70.0
Total project cost (EUR): 634800.0
EU funding (EUR): 542800.0
Participants: 15
Project status: SIGNED

Working populations in European Member States are ageing. In short, if most people continue to retire at around 60 years of age, the European labour force will shrink by around three million per year over the period 2020 to 2035 as reported by EU-OSHA. There is a need for a new and more comprehensive policy design to counter the shortage of workers in the future. Moreover in European production systems there is a growing demand of applications with arm-based robots, exoskeletons, smart and intelligent working tools, immersive virtual reality technology. All these last generation technologies if well applied have a big potential to preserve the productivity, quality and safety of the aging workforce by better powering their great level experience and extraordinary skills. The main objective of the MAIA Academy is to create a unique research and innovation staff exchange network focused on the ageing problem in manufacturing. MAIA project will provide a multidisciplinary approach to achieve objectives as: - The study of the aging workforce needs and requirements in European production and assembly systems; - The development of new design methodology to create assembly and production workspaces elderly-oriented by preserving productivity, quality and safety; - The development of new analytical models to support assembly and production line design elderly-oriented and validate them with world-wide case studies. - Design and test of new ergonomics devices in order to support aging workers during tasks, by helping them in reducing muscular fatigue and risk of muscle skeletal disorders - Design and test of new immersive and virtual reality instruments in order to guide elder workers and support them in the production process. MAIA will bring together 7 European partners and 6 Third country partners to create a new generation of knowledge towards the creation of age-friendly paradigms, models and methods for manufacturing systems.

Keywords: ageing workforce,collaborative robots,smart manufacturing,industry 4 0,ergonomics,operation management