Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Eavesdropping on the tropics: assessment of climate change impacts on amphibians through passive acoustic monitoring (EAVESTROP)

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: France,Brazil
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-01-01
End date: 2018-12-31
Duration (months): 36.0
Total project cost (EUR): 256410.0
EU funding (EUR): 256410.0
Participants: 2
Project status: CLOSED

Recent climate change is a major threat for conservation of amphibian diversity, the most endangered group of vertebrates. Species distribution models derived from functional traits have been proposed to provide more robust predictions of future climate-induced shifts in environmental suitability than commonly used correlative models. The proposed project aims, for the first time, to examine species vulnerability to climate change through a novel integration of two scientific disciplines, bioacoustics and biogeography, thanks to the use of new tools in acoustic monitoring, signal processing and species distribution modelling. We will first explore how a key and environment-dependent behavioural trait in amphibian anurans (i.e., reproductive calling behaviour) responds across climatic gradients and subsequently expand these findings into larger temporal and spatial scales through mechanistic approach at two levels of organisation, species and community. The MSCA is proposed as a 3-year GF. One of the most cited research groups in ecology (UFG) will host the fellow during the outgoing phase in Brazil, where data collection, first analyses, and training in biogeography will be conducted. The third year of return to the host organisation in France, with a leading group in bioacoustics and signal processing (MNHN), will be devoted to training in acoustic diversity indices, software development, and most transfer and dissemination activities. The MSCA will enable the fellow to be one of the first researchers with expertise in both bioacoustics and biogeography and hence will open up the best career possibilities for him and new collaboration opportunities for the host organisations. As the first using this novel approach, the MSCA is expected to provide advances in these two disciplines as well as to promote new scientific pathways. A series of outreach activities will also contribute to public education and awareness of amphibian decline and climate change threats.

Keywords: global change
Valley and spin devices based on two-dimensional semiconductors (Valleys)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Switzerland
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-07-01
End date: 2021-06-30
Duration (months): 60.0
Total project cost (EUR): 1998060.0
EU funding (EUR): 1998060.0
Participants: 1
Project status: CLOSED

The main objective of this research proposal is to realize new types of electronic devices based on the valley/spin degree of freedom in two-dimensional semiconductors from the transition metal dichalcogenide family. These materials are analogous to graphene but have a direct band gap. Together with the unique band structure, this allows manipulating the spin and valley degrees of freedom interchangeably. In addition, it can give rise to a mechanism for protecting the spin which could in future result in very high spin relaxation lengths. This proposal will explore various spin/valley injection mechanisms as well as detection mechanisms with the goal of realizing an all-electric valleytronic device with no need of optical excitation which is bulky and difficult to scale and implement on chip scale. Various new device architectures such as valley interconnects, amplifiers and diodes will be realized in the central part of the proposal.
An innovative 3D content generation solution for digital artists (ArtomatixSuite)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Ireland
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2016-10-01
End date: 2018-09-30
Duration (months): 24.0
Total project cost (EUR): 2100000.0
EU funding (EUR): 1470000.0
Participants: 1
Project status: CLOSED

The 3D Computer Graphics Industry represents a vibrant €115 billion global opportunity (2016) poised for spectacular growth. By 2022, the 3D Graphics market will represent €282 billion, a 2.5x increase from current levels. Studios creating 3D content are already at the limits of human capacity and are challenged to meet the current market demands. Artomatix revolutionises the way 3D art is created. Instead of designing, say, an intricate brick wall pixel by pixel for use in a video game scene, one could take a photo of a brick wall with their phone and Artomatix will extrapolate the rest, imagining a new ‘virtual’ brick wall. Rather than being the paintbrush, your computer acts as the painter. Instead of being the painter, an artist will become the art director, providing the high level guidance and vision.Artomatix is offering this ‘virtual painter’ as a cloud-based Software-as-a-Service (SaaS) that can increase the industries art asset production capacity from 69 million assets in 2016 to 95 million, and to beyond 236m by 2022. With that in mind, Artomatix addresses several EU-wide challenges referenced in the following documents, “Unlocking the potential of cultural and creative industries”, “Towards a data-driven economy” and "Unleashing the potential of cloud computing in Europe”. The 3D Computer Graphics Industry’s annual wages for 3D artists are expected to reach €63.6bn by 2022, up from €25.8bn in 2016, highlighting the strong potential of automated 3D content creation solutions. Based on our feasibility assessment, software development, sales and marketing efforts and our elaborated business plan, subject to obtaining funding for the project, it is our intention to secure a 0.78% market share of the 3D content creation market (~1.3m assets), have 55k 3D artists using the Artomatix Suite by 2022, generate annual revenues of €16.3 million, and create jobs for up to 123 full time staff.

Keywords: artificial intelligence saas machine creativity art
Next Generation Holistic Predictive Maintenance Software (CARL-PdM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: France
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-08-01
End date: 2018-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

"Industry 4.0 preaches a complete revolution of industrial process and promises huge efficiency gains by a complete virtualization of the factory, numerical design tools, automation of the logistics and the routing of the parts, smart machines, 3D printing, cyber-physical systems, predictive maintenance and control of the whole factory by an intelligent system. In the next 10 years, industry 4.0 is expected to change the way we operate our factories and to create 1250 Billion € of additional value added in Europe. Also , according to ARC Advisory Group, the predictive maintenance market is estimated to grow from 1,404.3M€ in 2016 to 4,904.0M€ by 2021. CARL-PdM is a innovative IIoT data powered predictive maintenance platform encompass the core of "Industry 4.0" with a new maintenance paradigm : maintenance is a production function whose aim should be to optimize production output and quality. We will leverage the IoT revolution to achieve these goal. This software solution, CARL-PdM, provides many core capabilities in industrial scenarios, including edge analytics who provide a way to pre-process the data so that only the pertinent information is sent to the predictive layer (Auto Classification and Machine learning). The predictive layer will categorize data into abstract class which represent technical assets behavior. It is a reliable and reproducible approach. Competitive advantages: - Reduce failure by 50%, maintenance cost by 30%, production stops by 70%, energetic consumption by 20%, Time To Repair by 30% - Increase production flexibility - System agnostic to machines - Machine-learning algorithm that compares the fault prediction and sensor data with historical data, predicting best maintenance activity regarding to production and quality objectives The solution will be implemented at a global scale, starting in European markets: France, Italy, Belgium for early market uptake and testing; and then the biggest EU markets (Germany, UK, Poland and Spain).

Keywords: predictive maintenance,machine learning,data classification,industry 4 0
Promoting Circular Economy in the Food Supply Chain (ProCEedS)

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: Environment and Geosciences
Countries involved: Italy,Argentina,Malta,Serbia,Poland,Greece,United Kingdom
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2018, 2018)
Start date: 2019-09-01
End date: 2023-12-31
Duration (months): 52.0
Total project cost (EUR): 432400.0
EU funding (EUR): 432400.0
Participants: 13
Project status: SIGNED

A projected human population of 10 billion and an increasing consumption of food are placing massive strain on the global agri-food system. Nonetheless, hunger and malnutrition remains a major problem in developing countries. Also, climate change poses also a great threat on food security due to the critical dependence of agri-food production on environmental conditions. Within this context, new strategies are needed in order to maximise the yield of food production systems while minimising wastage and reducing environmental impact. On a global scale, it is estimated that one-third of food produced for human consumption is lost or wasted globally (1.3BN tons per year); even in the EU, despite significant policy efforts, 88MM tons of food are wasted annually, with associated costs estimated at €143BN. This causes waste in production resources (such as land, water, energy and inputs) and avoidable greenhouse gas emissions. Also, food production and consumption produce approximately one-third of total greenhouse gas emissions. All this represents a real threat to the security and sustainability of food supply chains. In the context of agri-food supply chains, Circular Economy provides very promising perspectives on tackling mentioned challenges related to food security and efficient resource use; however, barriers to the implementation of this alternative paradigm are significant. This project is predominantly focused on the identification and sharing of best practices for the implementation of Circular Economy in the food supply chain amongst a wide variety of stakeholders (including research institutions, big retailers, small production and distribution co-operatives). Identified operational solutions, models and methods for improving the performances of agri-food supply chains will be translated into a toolbox aimed at helping policymakers and businesses to identify, define and implement appropriate practices and policies.

Keywords: circular economy,agri food supply chains
High-Impact Injection Moulding Platform for mass-production of 3D and/or large micro-structured surfaces with Antimicrobial, Self-cleaning, Anti-scratch, Anti-squeak and Aesthetic functionalities (Himalaia)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Research and Innovation actions
Countries involved: Austria,Spain,Italy,Spain,Switzerland,France,France,France,United Kingdom,United Kingdom,Luxembourg
Call: New product functionalities through advanced surface manufacturing processes for mass production (H2020-FOF-2017, 2017)
Start date: 2017-09-15
End date: 2021-03-14
Duration (months): 42.0
Total project cost (EUR): 4679771.25
EU funding (EUR): 4679771.25
Participants: 13
Project status: CLOSED

Nobel Prize winner W. E. Pauli warned, “God made the bulk, surfaces were invented by the Devil”. Surface properties must be controlled and modified to satisfy demanding engineering requirements for sectors as diverse as consumer appliances, packaging, automotive, aerospace, and energy. The mass manufacture of functional surfaces is currently achieved via the application of expensive coatings, which can have proven harmful consequences on the environment. HIMALAIA proposes the first up-scalable, adaptable, industrially relevant, cost-effective manufacturing platform that would allow the mass-production of high-performing functional micron and sub-micron structured surfaces on 3D and/or large polymer parts with antimicrobial, anti-scratch, anti-squeak, self-cleaning and aesthetic properties without coatings. Latest advances in laser surface patterning/texturing, particle self-assembly for photonic nanojet patterning, and surface engineering of injection moulds at TRL4 will be combined and brought to TRL6 for the efficient and flexible micro / nano-structuration of large, 3D mould cavities. These moulds will allow mass production of parts with functional surfaces via injection moulding. This process will be developed with great strides made notably on the modelling of structure-function relationships and on the demoulding step. Finally, in-line, model-based inspection of surface topographies and functionalities will be developed and implemented on the platform. Results will be supported by Life-Cycle Analysis, project management, dissemination and IP/innovation management to ensure the economic sustainability and the European deployment of the platform towards 2030. HIMALAIA will validate the efficiency and flexibility of the manufacturing platform through three high impact industrials demonstrators in different sectors: orthodontics (EO), cosmetic packaging (Albea) and automotive (CRF). Clear scientific, exploitation and business plans are presented.

Keywords: advanced manufacturing,injection moulding,laser texturing,particle self assembly,in process inspection,surface engineering,anti scratch,antimicrobial,anti squeak,self cleaning,aesthetic
Local molecular profiling of tumor tissue sections: towards personalized immunotherapy (BioProbe-PIT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Switzerland
Call: ERC-Proof of Concept-2016 (ERC-2016-PoC, 2016)
Start date: 2017-08-01
End date: 2018-07-31
Duration (months): 12.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

Cancer heterogeneity has reinforced the need for personalized treatment modalities. Pre-therapeutic diagnostic testing of heterogeneous tumors helps avoid inefficacious treatments, optimizes targeted therapy, and improves quality of life. Within targeted therapy, immunotherapy has led to significant improvements in treatment outcomes and is swiftly being integrated in diagnostic workflows. In this context, routine diagnostic tests currently do not exist, and treatments are further challenged by heterogeneity. Spatially resolved molecular probing of tumors prior to treatment would allow prediction of patient response to immunotherapeutics. We have been developing methods to perform local biochemical reactions at micrometer length scales using nanoliter volumes of biochemicals. These methods are implemented using a scanning probe technology – the microfluidic probe (MFP) – with devices, platforms and assays adapted for application on biological substrates. With this, we are working towards multi-modal molecular profiling of tumors – tissue microprocessing (TMP). Thus far, we have demonstrated TMP for local DNA and mRNA analysis on live cells, for patterning cells and for micro-immunohistochemical tests on tissues. Here, we will leverage TMP concepts to work on the initial steps in pre-commercializing the MFP for diagnostic testing in immunotherapy. Specifically, we aim to (1) develop assays for morphological and molecular analyses of pancreatic tissues using the MFP (2) adapt the assays developed in (1) to be compatible with workflows of state-of-the-art genome and transcriptome analysis for molecular profiling of tumors in diagnostics (3) validate these techniques for patient samples. With this PoC grant, we envision to translate the MFP technology from the lab to the clinic for personalized immunotherapy.

Keywords: molecular diagnostics,personalized medicine,pathology,genetic analysis,microfluidics,microtechnology,microfluidic probe
Mixing interfaces as reactive hotspots of porous media flows: theoretical upscaling, experimental imaging and field scale validation (ReactiveFronts)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: France,France
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-10-01
End date: 2021-09-30
Duration (months): 72.0
Total project cost (EUR): 1998747.0
EU funding (EUR): 1998747.0
Participants: 2
Project status: CLOSED

In porous media, mixing interfaces such as contaminant plume fringes or boundaries between water bodies create highly reactive localized hotspots of chemical and microbiological activity, whether in engineered or natural systems. These reactive fronts are characterized by high concentration gradients, complex flow dynamics, variable water saturation, fluctuating redox conditions and multifunctional biological communities. The spatial and temporal variability of velocity gradients is expected to elongate mixing interfaces and steepen concentration gradients, thus strongly affecting biochemical reactivity. However, a major issue with porous media flows is that these essential micro-scale interactions are inaccessible to direct observation. Furthermore, the lack of a validated upscaling framework from fluid- to system-scale represents a major barrier to the application of reactive transport models to natural or industrial problems. The ambition of the ReactiveFronts project is to address this knowledge gap by setting up a high level interdisciplinary team that will provide a new theoretical understanding and novel experimental imaging capacities for micro-scale interactions between flow, mixing and reactions and their impact on reactive front kinetics at the system scale. ReactiveFronts will develop an original approach to this long-standing problem; combining theoretical, laboratory and field experimental methods.The focus on reactive interface dynamics, which represents a paradigm shift for reactive transport modelling in porous media, will require the development of original theoretical approaches (WP1) and novel microfluidic experiments (WP2). This will form a strong basis for the study of complex features at increasing spatial scales, including the coupling between fluid dynamics and biological activity (WP4), the impact of 3D flow topologies and chaotic mixing on effective reaction kinetics (WP3), and the field scale assessment of these interactions (WP5).

Keywords: dispersion,mixing and biochemical reactions in porous media,fluid stretching,biofilms,contaminant transport and remediation,upscaling,microfluidics,reactive tracer tests,hydrogeophysics
A Novel Integration of Radiative Cooling into Photovoltaic/Thermal Panel in Buildings by Applying a Spectrally Selective Micro/Nano Coating (RC-PV/T)

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-2018, 2018)
Start date: 2019-12-01
End date: 2021-11-30
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

This fellowship aims to train a talented early career researcher and contribute to the EU scientific excellence by investigating and developing an innovative coupled radiative cooling and photovoltaic/thermal (RC-PV/T) collector for building-integrated applications. The Incoming Researcher is a winner of Grand Gold Medal of Geneva International Exhibition of Inventions, Excellent Doctoral Dissertations Award of Chinese Academy of Sciences (CAS) and Excellent PhD Graduate Award of the President of CAS, attributed to his original proof-of-concept study of the novel RC-PV/T technology. The Incoming Researcher is a highly dedicated and motivated young researcher and has been stimulated to devise this novel design. Solar thermal collection and photovoltaics are the dominating technologies, however, the combined photovoltaic/thermal (PV/T) technology is expected to become popular due to its higher overall efficiency, more cost effective and better match with building energy demand as well. Integration of radiative cooling into a PV/T collector can further contribute to such merits by adding a night sky cooling function, so a RC-PV/T collector can produce electricity and heat during the daytime and provide cooling during the nighttime. To achieve such triple functions, the applicants have analysed and proposed the ideal spectral selective characteristics of the RC-PV/T panel, and a desirable RC-PV/T micro/nano coating as well as a RC-PV/T collector will be designed and trial-manufactured. The project has been carefully designed to match the Incoming Researcher’s profile with the strengths of the University of Nottingham in solar energy, micro/nano coating and low carbon buildings, and thus facilitates a two-way knowledge transfer and training. Successful completion of this fellowship will contribute to the European excellence in renewable energy technologies for Zero Energy Buildings, and promote the professional competence and career prospect of the Incoming Researcher.

Keywords: solar energy,photovoltaic,thermal,radiative cooling,spectral selectivity,micro,nano coating,building energy saving