Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Design and engineering of porous nitride-based materials as a platform for CO2 photoreduction (THEIA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-02-01
End date: 2025-01-31
Duration (months): 60.0
Total project cost (EUR): 1498934.0
EU funding (EUR): 1498934.0
Participants: 1
Project status: SIGNED

CONTEXT: Reshaping our energy portfolio considering the sustainability of global energy resources is central to the European Energy Roadmap 2050. Hence, researchers need to identify efficient routes towards solar fuels production. Unlike H2 evolution, CO2 photoreduction has been poorly studied. Given the scope for CO2 utilisation in a carbon-constrained future, there is an exciting opportunity to devote targeted research towards CO2 photoreduction. Photocatalysis is one route towards CO2 reduction. Yet, the design of a cost-effective, sustainable, efficient and robust photocatalyst remains a highly challenging task. PROPOSAL: I propose to merge catalysis, materials science and engineering to develop a radically new class of photocatalysts, i.e. porous boron nitride (BN)-based materials for CO2 reduction. My approach is opposite to current research trends which explore non-crystalline and non-porous materials, and aims to compete with the 40-year old benchmark in the field, TiO2. Porous BN combines key attributes for CO2 photoreduction: (i) chemical, structural and optoelectronic tunability, (ii) high porosity, (iii) semi-crystalline to amorphous nature. These features provide unique pathways towards effective sorption of reactants/products, facile band gap engineering, and enhanced surface charge transfer. Their semi-crystalline to amorphous nature may facilitate scale-up. IMPACT: I will address three major challenges: 1. Creating a porous BN-based material platform with adsorptive and photocatalytic functionalities 2. Adding a new dimension to photocatalyst design via porosity control 3. Creating approaches to molecular- and micro-structure engineering in porous BN Realization of these advances would lead towards a ‘dream photocatalyst’ with integrated adsorptive, optoelectronic and catalytic functionalities. The impact will benefit fields for which interfacial phenomena are key: molecular separation, catalysis and drug delivery.

Keywords: porous materials,co2 photoreduction,solar fuels,boron nitride,photocatalysis,materials engineering
Photonic and nAnomeTric High-sensitivity biO-Sensing (PATHOS)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Research and Innovation actions
Countries involved: Germany,Israel,Italy,Italy
Call: FET-Open Challenging Current Thinking (H2020-FETOPEN-2018-2019-2020-01, 2018)
Start date: 2019-04-01
End date: 2024-03-31
Duration (months): 60.0
Total project cost (EUR): 2567500.0
EU funding (EUR): 2567500.0
Participants: 5
Project status: SIGNED

We plan to develop a radically new technology for the sensing of bio-systems and in-vivo diagnostics of biomedical conditions using hitherto unexploited tools of unconventional complex-system dynamical control and information sampling/processing. They will be founded on groundbreaking concepts and challenging experiments, with the following aims: (a) Magnetic-resonance imaging (MRI) and optically-detected magnetic-resonance (ODMR) sensing will be dramatically improved by orders of magnitude through highly selective cooling/suppression of thermal noisy background in-vivo with unprecedented spectral and spatial (subnano- or submicron-) resolution. It will be based on so far unemployed (but conceptually proven) stochastic (anti-) Zeno effects and collective-spin cooling pioneered by the partners of this very interdisciplinary consortium. (b) Development of novel probing configurations and protocols: NMR intra-molecule/intra-tissue sensing and intra-cell NV-center thermometry based on dynamical control being aimed at unravelling of hitherto invisible biochemical activity features masked by inhomogeneous broadening. (c) Advanced sensing-data processing, including high-order correlation spectroscopy – innovative strategies that seek to exploit dynamically controlled/modified noise in bio-systems as a source of previously untapped information on physiological (temporal) processes and anatomical (structural) detail. This information will be obtained by treating bio-systems as complex, noisy “environments” through novel probing/estimation procedures and compressed (sparse) imagery of the spectrally and spatially structured “environment”, but reducing drastically their complexity by dynamically controlling the relevant information encoded by key noise parameters. The overarching goal will be to substantially enrich the spatial and spectral information content and robustness of diverse medical diagnostic procedures and thereby minimize the exposure time/irradiation dosage.

Keywords: sensing,biomedical applications,cooling protocols,zeno phenomena,optimal control,photonics,nv centres,noise estimation,imaging resolution
MEDical Imaging with Superconducting Sensors (MEDISS)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Novel ideas for radically new technologies
Action type: Coordination and support actions
Countries involved: Netherlands
Call: FET Innovation Launchpad (H2020-FETOPEN-4-2016-2017, 2017)
Start date: 2018-04-01
End date: 2019-09-30
Duration (months): 18.0
Total project cost (EUR): 125000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

The goal of MEDISS is to identify medical imaging applications for a device developed and validated for quantum applications within the FET project SUPERTWIN. Optical techniques are quickly gaining ground in medical imaging because they enable non-invasive imaging along with identification of specific molecules while avoiding any ionization in contrast to, for instance, X-rays. For diagnostics, as well as to monitor emerging photo-therapies targeting cancer cells, optical characterization tools with high efficiency, low noise, high time resolution and high sensitivity in the near-infrared are required. The detectors developed by Single Quantum for advanced multi-channel quantum optics correlation measurements in the project SUPERTWIN represent an ideal solution for medical imaging in the near infrared. In MEDISS, we will demonstrate the usefulness of our quantum sensors for bio-medical applications with a dedicated prototype, we will interact with medical experts and will establish a business plan to enter the medical imaging market.

Keywords: infrared optical detection,medical imaging,superconducting detectors,time resolved
Making a yeast-based candidate vaccine against Porcine Epidemic Diarrhea Virus (PEDV) (PIGYVAX)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-06-13
End date: 2018-06-12
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

PIGYVAX aims to create pig vaccine candidates against PEDV, a pathogen of swine causing significant challenges to the swine industry globally. This project will utilize yeast-based vaccine carrying nanoparticles of measles ribonucleoprotein (RNP) fused with PEDV spike protein (S1). The multimerization of monomeric S1 antigen through RNP will increase immunogenicity due to better recognition of antigen presenting cells. As the yeast delivery system has strong auto-adjuvant properties, the vaccine does not require complementation with accessory adjuvant, which reduces the cost of vaccine production. Moreover, P. pastoris yeast, commonly present on fruits, is a certified safe microorganism for animal feeds rendering it a most practical and convenient way to deliver vaccines to large-scale farms. Therefore, we aim to use this vaccine platform to express S1 antigen of PEDV and deliver it orally to stimulate a protective immune response against PEDV in sows, which will be passively transferred to fully protect piglets from succumbing to the disease. In this project, Dr. Phanramphoei Frantz will utilize her knowledge on pathogenesis of PEDV and the yeast-RNP platform while gaining expertise on vaccine study and development from the host institute. This will initiate a successful collaboration project between Institut Pasteur and BIOTEC (Thailand) to where the experienced researcher will return after the project.
Improved machine vision for guidance of optical system for cost-effective and environmentally safe in-situ removal of ectoparasites from farmed fish (EctoVision)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: SME instrument
Countries involved: Norway
Call: Resource-efficient eco-innovative food production and processing (H2020-SMEINST-1-2014, 2014)
Start date: 2015-02-01
End date: 2015-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Sea lice are the most damaging parasite to the salmonid farming industry in Europe, inflicting an annual loss of €300 million. Lice originating from farms also represent a grave danger to wild populations. Fish farmers use many different methods in the effort to control sea lice infestations. However, none have proved 100% effective and sustainable over time due to environmental impacts, negative consumer perception, violation of fish welfare, and not the least of which is cost. Both governmental bodies and the aquaculture sector are now asking for a sustainable solution to the huge problems resulting from sea lice infestation of both farmed and wild salmonid stocks. Optical delousing (Stingray) is a new proactive, gentle and sustainable method for controlling the amount of sea lice in net pens. Using camera vision, software and laser allow for fully automatic louse removal without posing any danger to farmed fish, other species, or surrounding environment. The project aims to develop a dedicated advanced machine vision unit, the EctoVision, to increase the field of view, depth perception and image processing speed. The unit will be made available as an upgrade that can be easily integrated with the existing Stingray platform. The aim is to create an efficient range to detect lice and treat fish that passes within 0.4-1.5 m in the proximity of the Stingray to improve the lice removal performance by a twofold. Activities in the feasibility assessment includes investigation of possible solutions for the machine vision system, mapping best available state of the art and evaluate performance balanced against cost, in addition to search for additional partners. Case studies will be performed to provide a detailed assessment of the expected economic impact using the Stingray with the EctoVision upgrade compared with competing methods. The results will be outlined in a business plan with proper risk assessment, including a preliminary product design specification.

Keywords: machine vision,optical delousing,sea lice,salmon,food production
Ecological and evolutionary forces shaping microbial diversity in freshwater blooms (MicroEcoEvol)

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: Environment and Geosciences
Countries involved: United Kingdom,Canada
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-06-01
End date: 2018-05-31
Duration (months): 36.0
Total project cost (EUR): 255349.8
EU funding (EUR): 255349.8
Participants: 2
Project status: CLOSED

Bacterial communities dominate the living biomass on Earth and contribute significantly to all global cycles of matter and energy. However, due to the high genetic heterogeneity of the ecosystems and their richness in diverse microbial species, our knowledge of bacterial communities remains limited. Therefore, in order to understand any bacterial community's ecology and predict how these communities and their respective ecosystems will respond to environmental changes, we need (i) to identify the different ecologically distinct microbial populations (or "clusters") that compose it, and (ii) to determine the interactions between clusters, and how they evolve. To address these challenging goals, this study will use the model system of Microcystis, the cyanobacterium that is mainly responsible for toxic algal bloom in lakes worldwide. The goal of this project is to (i) determine how (and if) Microcystis is specialized into different ecologically and genetically distinct clusters, (ii) to track how the Microcystis populations (or clusters) respond to environmental changes (pH, temperature, pollution from fertilizer runoff) and biological factors (viruses that prey on bacteria). This will allow us to understand how Microcystis populations change and adapt over time, helping us to predict and prevent harmful blooms. Using a unique multidisciplinary approach mixing ecology and evolution, and combining observations from natural time-courses in lakes, in situ experiments in microcosms within lakes, and in vitro experiments, this project will provide an unprecedented understanding of how changing regimes of natural selection, imposed by environmental and biological factors, shape microbial communities on the scales of populations, genomes and genes. This project will provide major advances in bloom understanding, in prediction by the identification new genetic biomarkers and in prevention by defining the conditions under which phage therapy might be a practical strategy.

Keywords: reverse ecology,evolution,metagenomics,cyanobacteria,bacteriophage,infection network,experimental evolution
Arthritis Differential DIagnostic validaTION (ADDITION)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Belgium
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2014, 2014)
Start date: 2015-04-01
End date: 2015-09-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Arthritis, a group of diseases involving inflammation of joints with huge health and socio-economic impacts. Early Arthritis (EA) describes newly diagnosed arthritis (incidence 2/1000). An improved arthritis management requires to enhance the EA differential diagnostic efficacy and the adequacy of the therapeutic strategies. The earlier arthritis is addressed, the more likely its progression will be limited. A mistake in differential diagnostic leads to inappropriate treatments, resulting in useless expenses and serious side effects, unjustified. Current diagnostic techniques are unsatisfactory and the most used first line treatment, Methotrexate (MTX), is ineffective in about 40% of the patients. RheumaKit is a solution for clinicians for the early differential diagnostic of patients suffering from undifferentiated arthritis (UA, a subclass of EA). RheumaKit is based on a trancriptomic signature of about 100 genes complemented by 3 clinical factors. It provides a 90% accuracy for the Rheumatoid Arthritis (RA) vs non-RA distinction, far above the ACR/EULAR2010 criterion on the same patients. It also provides probabilities for Osteoarthritis and Seronegative Spondylarthropaties. The solution consists of a synovial biopsy collection and transportation kit (CE-marked May 2014), a central lab PCR procedure, and a web application computing the effective diagnostic on a cloud-computing infrastructure. Functional, technical, logistics aspects of RheumaKit have been validated. ADDITION aims at clinically validate on a larger patient cohort the existing RheumaKit signature for the differential diagnostic of most EA patients and validate the use of the existing RheumaKit signature as a tool to predict MTX response. ADDITION phase 2 will involve a prospective study on 500 to 1000 EA patients. The main phase 1 objectives are a feasibility study of the clinical and market aspects of ADDITION. The expected annual turnover is above 140M€-280M€ in EU within a few years.

Keywords: theranostic,early arthritis,methotrexate,data mining,web application,cloud computing
Irrigation water saving by replacing the traditional irrigation system by an Adjusted Regulated Deficit Irrigation one (HydSOS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2020-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

At present and more so in the future, irrigated agriculture will take place under water scarcity. Insufficient water supply for irrigation will be the norm rather than the exception, and irrigation management will shift from emphasizing production per unit area towards maximizing the production per unit of water consumed, the water productivity. To cope with scarce supplies, Galpagro has developed and tested a Regulated Deficit Irrigation (RDI) protocol for the olive plant using the Scholander pressure chamber as a tool for estimating the plant tissues water potential. Thanks to our RDI irrigation system, the water restriction is limited to drought-tolerant stages, often the vegetative stages and the late ripening period. So, it makes possible the reduction of spent water up to 40 % without prejudicing the production and the quality of fruits. Furthermore, to enhance this novel irrigation system, we need to develop a continuous measurement sensor which will be able to replace the Scholander pressure chamber (discontinuous method). This sensor will make easier and more efficient the implementation of RDI protocol in olive tree and latter to other crops, and also, will reduce the overall costs. To date, there don’t exist in the market any method or sensor able to estimate in continuous the olive trunk water potential, which would make possible the integration of our RDI protocol immediately to the market. In this regard, Galpagro is collaborating with other specialized companies to develop the continuous-online sensor. Our target customers will be the individual farmers of any size and/or cooperatives who are willing to pay for a differentiate and effective irrigation system which will reduce them irrigation costs (water quantity), without prejudicing the production and fruit quality. This Feasibility Study’s goal is to deepen in those critical points to assess the economic, technical and commercial viability of HydSOS, to tackle this challenge for us to scale-up.

Keywords: regulated deficit irrigation,olive irrigation protocol,trunk olive sensor potential water
Open Innovation Platform for IoT-Big Data in Sub-Sahara Africa (WAZIUP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Italy,France,France,France,Senegal,Burkina Faso,Ghana,Portugal
Call: International partnership building in low and middle income countries (H2020-ICT-2015, 2015)
Start date: 2016-02-01
End date: 2019-01-31
Duration (months): 36.0
Total project cost (EUR): 2799662.5
EU funding (EUR): 2799662.5
Participants: 13
Project status: CLOSED

The WAZIUP project, namely the Open Innovation Platform for IoT-Big Data in Sub-Saharan Africa is a collaborative research project using cutting edge technology applying IoT and Big Data to improve the working conditions in the rural ecosystem of Sub-Saharan Africa. First, WAZIUP operates by involving farmers and breeders in order to define the platform specifications in focused validation cases. Second, while tackling challenges which are specific to the rural ecosystem, it also engages the flourishing ICT ecosystem in those countries by fostering new tools and good practices, entrepreneurship and start-ups. Aimed at boosting the ICT sector, WAZIUP proposes solutions aiming at long term sustainability. The consortium of WAZIUP involves 7 partners from 4 African countries and partners from 5 EU countries combining business developers, technology experts and local Africa companies operating in agriculture and ICT. The project involves also regional hubs with the aim to promote the results to the widest base in the region.

Keywords: internet of thing,big data,iot software platform,long rang iot communication and networking,rural community,ecosystem
A virtual geomechanics laboratory for clay (CLAYLAB)

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: Sweden
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Duration (months): 24.0
Total project cost (EUR): 203852.16
EU funding (EUR): 203852.16
Participants: 1
Project status: CLOSED

Natural clays are fascinating materials, especially so-called quick clays, a major geohazard, which are natural soils that can have a sudden irreversible phase change from solid to liquid due to small perturbations in environmental conditions. The aim of the project is to gain understanding of the complex behaviour of natural sensitive clays, including quick clays, by creating a virtual CLAYLAB. CLAYLAB is a virtual geomechanics laboratory for probing the behavior of clays starting at the materials science scale by incorporating clay specific physics in Discrete Element Modelling (DEM), based on experimental image and force data that spans nm - m. The novel multi-scale experimental data available at the host institution is combined with micro-mechanical computational and theoretical methods such as adding Level Sets for shape to DEM with the expertise of the ER. By taking advantage of cutting-edge imaging techniques, such as X-ray Computed Tomography, where computer-based mathematical schemes such as level sets are applied to generate a unique “digital twin” for each particle. Furthermore, complementary data is gathered on the physico-chemical processes using a combination of X-ray scattering and Atomic Force Microscopy. Ultimately, a virtual CLAYLAB will be created, so that the digital samples match the physical behavior of their real counterparts at the engineering scale. CLAYLAB will enable us, for a first time, to understand the phenomena such as quick clay landslides, and enable us to probe into the materials response beyond what is possible when using laboratory techniques on their own. This understanding ultimately offers a platform to develop novel ground improvement ideas for landslide mitigation. Finally, CLAYLAB will help to ameliorate time consuming as well as expensive real laboratory testing procedures for probing soil response for engineering applications.

Keywords: virtual laboratory,natural clay,lsdem,nano scale characterisation