Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Global Entrepreneurial Talent Management 3 (GETM3)

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: Social Sciences and Humanities
Countries involved: Ireland,Ireland,Poland,Slovenia,Korea, Republic of,Slovenia,United Kingdom
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2016, 2016)
Start date: 2017-01-01
End date: 2022-10-31
Duration (months): 70.0
Total project cost (EUR): 1224000.0
EU funding (EUR): 954000.0
Participants: 18
Project status: SIGNED

GETM3 – Global Entrepreneurial Talent Management 3 - focuses on young talent as a key driver of future development, developed through co-operation of 3 stakeholders: employers (inc MNC & SME’s), universities and students/graduates. Despite a widely recognized importance of young talent (e.g. Europe 2020), its potential remains largely untapped. They are educated and entrepreneurial and yet experience instability in employment. At the same time, employers report skills mismatch and difficulties with attracting, managing and retaining young talent. To tackle this paradoxical situation, an innovative, multi-perspective approach is needed, reinforced by our 15 partner consortium; comprising of a transnational, inter-disciplinary, inter-generational, gender balanced and inter-sectorial research team. The main objective of GETM3 is to improve employability and future global talent management to support economic development by capitalizing on entrepreneurialism as a key characteristic of the young. To achieve this objective, the project is divided into six work packages. Three WPs focus on in-depth research of specific issues from each of the stakeholder perspectives. The Integration and Innovation WP, essential for impact, aims to integrate research outputs and develop GETM3 across dimensions: generations, genders, disciplines, countries, sectors and stakeholders. These are supported by a project management & administration WP and by the Researcher development, knowledge transfer & dissemination WP. In total, 292 mobility months are planned, 232 of those are for EU partners. Matched funding specially dedicated to H2020 will be claimed from the Korean Research Foundation. The overall design of the project builds impact through researcher mobility in two ways: researchers will gain first hand and in-depth insights on specific issues from various perspectives, and will develop their skills through networking and training incorporated into mobility with sandpit events.

Keywords: talent management,entrepreneurialism,generation y,innovation
Beyond assuming co-benefits in Nature-based Solutions: Applying the niche concept for optimizing social and ecological outcomes (Niche4NbS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Israel
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-06-01
End date: 2025-10-31
Duration (months): 65.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: SIGNED

Urbanization is emerging as one of the major environmental global issues of the 21st century, with strong implications on the health of humans and natural ecosystems. Nature-based Solutions (NbS), broadly defined as cost-effective solutions that are inspired and supported by nature to simultaneously provide several environmental and social benefits, has shown promise in addressing this challenge. However, NbS implementation and assessments often rely on a one-size-fits-all approach, although interventions that maximize one benefit can have no influence on, or even negatively affect others. Furthermore, the current pathways from NbS to various benefits do not rely on a deep understanding of the underlying processes and functional relationships. As a result, the current use of NbS relies on broad targets that exhibit considerable risk of falling short of their objectives, eroding public support in their wake. This project will address these shortcomings by developing and demonstrating a widely applicable, theory-grounded, approach for understanding trade-offs and identifying optimal planning scenarios that maximize co-benefits. Using a mechanistic approach we will assess the effectiveness of NbS across domains in a way that allows mapping, upscaling and predicting NbS implementation outcomes. Innovative use of the ecological niche concept and a set of nature dose-response experiments will enable spatially-explicit multidimensional modelling of biodiversity and health and well-being measures. This will allow us to predict how NbS influence where species will be, and where people will be healthy and happy, equipping us with the tools to achieve coexistence of multiple benefits and social justice. Niche4NbS will demonstrate how to plan NbS that delivers co-benefits and provide planners with a robust tools to identify optimal planning solutions. Beyond the fundamental value Niche4NbS will push the European Commission along its path towards becoming a world leader in NbS.

Keywords: biodiversity conservation,urban ecology,sustainable planning,systematic conservation planning,ecological niche modelling,nature dose response
From Bilbao to Oslo, intermodal mobility solutions and interfaces for people and goods, supported by an innovative communication network (BONVOYAGE)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Italy,Spain,Austria,Italy,Norway,Norway,France
Call: Towards seamless mobility addressing fragmentation in ITS deployment in Europe (H2020-MG-2014_TwoStages, 2014)
Start date: 2015-05-01
End date: 2018-04-30
Duration (months): 36.0
Total project cost (EUR): 4000000.0
EU funding (EUR): 4000000.0
Participants: 12
Project status: CLOSED

BONVOYAGE will design, develop and test a platform optimizing multimodal door-to-door transport of passengers and goods. The platform integrates travel information, planning and ticketing services, by automatically analysing non-real-time data from heterogeneous databases (on road, railway and urban transport systems); real-time measured data (traffic, weather forecasts); user profiles; user feedback. The platform is supported by an innovative information-centric communication network that collects and distributes all the data required. The highly heterogeneous, distributed and mobile nature of data, coming from data-centers, sensors, vehicles, goods and people on the move, calls for an innovative networking paradigm. Current networks (e.g. Internet) limit themselves to “just” providing communication channels between hosts. Our paradigm, called Internames, allows communications among entities identified by names, without the constraint of a static binding to a particular location. The request of a “user” (be it a person or a parcel) to travel from source to destination is managed by the platform with several tools: Metadata Handler collects and elaborates data related to the request and generates a corresponding Context; User Profiler creates a personalized profile, conveying requirements including Quality of Experience parameters and special needs; Multi-Objective Optimizer develops personalized travel instructions, optimal for the Context and User Profile. The user may give feedback, before accepting the travel itinerary. If a trip is not available at request time, the user is notified if it becomes available later on. An Actuator triggers the necessary services. A Tariff Scheme Designer exploits platform data to define multi-part tariff schemes. BONVOYAGE will trial and demonstrate the platform and communication network in integrated, large-scale, real life application scenarios, incorporated into the normal business operations of our transport operator partners.

Keywords: multimodal transport,passengers,goods,travel information,planning,ticketing,communication network,internet,network architecture,information centric networking,nomadic devices
Eco-innovative building products for sustainable construction in a circular economy (RE-CREATE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2019)
Start date: 2020-04-01
End date: 2022-06-30
Duration (months): 27.0
Total project cost (EUR): 3033718.75
EU funding (EUR): 2123603.13
Participants: 1
Project status: CLOSED

Criaterra develops regenerative construction materials and products to enable the transformation of the building industry into a circular economy. Globally, construction and the use of building materials account for 50% of extracted materials, 50% of its energy consumption, 33% of its water consumption and 33% of all waste generation. The construction material manufacturing process incinerates virgin materials, changing their natural properties and rendering them non-biodegradable and eventually problematic waste. This resource-intensive process is a massive CO2 emitter, and revolutionizing it is a key EC priority. The circular economy represents a €4 trillion opportunity however, with a global economy that is only 9.1% circular, there is a massive circularity gap. Redesigning the entire lifecycle of building products and their production methods is central to reducing the environmental impact of the construction industry and developing a circular economy. Criaterra’s disruptive innovation produces products using minimal energy (90% energy savings compared to ceramics), generate minimal emissions (97% GHG savings compared to concrete), are manufactured from up to 70% recycled materials and are 100% recyclable and 100% biodegradable. They have the strength of concrete and very low thermal conductivity. They dramatically reduce the energy consumption, waste stream and CO2 emissions of the built environment. The global green building materials market size is expected to reach €323 billion by 2022 rising from 170 billion in 2016, at a CAGR of 11.2%. It is Criaterra’s goal to use this opportunity to become a leader in developing circular, regenerative materials using low embedded energy production practices in construction. Criaterra’s 2-year innovation project expands the product portfolio, industrializes the production method and reduces production costs, achieving competitive pricing to reach a broad market and drive green construction towards a circular reality.

Keywords: green building materials,advanced materials mixtures,natural building products,thermal conductivity,energy efficiency
Real-time tracking of whisker kinematics for closed-loop neuroscientific experiments (WhiskTrackGP)

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: Netherlands
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2017-09-01
End date: 2018-08-31
Duration (months): 12.0
Total project cost (EUR): 149938.0
EU funding (EUR): 149938.0
Participants: 1
Project status: CLOSED

We study the sensorimotor adaptation in the cerebellum with the whiskers of the mouse as a model system. The whiskers are a sophisticated sensorimotor apparatus with which the mouse actively profiles its immediate 3D environment by swiftly whisking. To estimate distances, orientation and texture of its surroundings, the mouse uses a ‘maximum contact, minimum penetration’ scheme, with sensorimotor decisions taking place within as little as 10 ms. This scheme imposes the main experimental challenge to whisker-based studies: hair-like structures moving at high speeds need to be tracked accurately to ascribe whisker motion to cerebellar function. In order to capture the motion of the whiskers accurately, high-speed image acquisition at high frame rates (ca. 1000 fps) is required. On account of the paradigms developed to relate neural activity to whisker behavior, high-throughput and real-time whisker tracking are required. We have evaluated all presently available whisker-tracking tools that delivered the desired kinematics of whisker behavior. However, all have failed in terms of computational time and/or acquisition frequency, which rendered them unsuited both for offline use and for real-time applications. To address these limitations, we propose the commercialization of WhiskTrackGP, a high-performance image-acquisition and -processing platform for bleeding-edge neuroscientific experiments on behavior. WhiskTrackGP is a hardware-software platform that can recognize the kinematics of multiple whiskers simultaneously with minimal intervention from the experimenter. It is realized as powerful whisker-tracking software ported on a special hardware platform based on NVidia GP-GPUs and Maxeler Dataflow-Engines. We demonstrate accelerated offline video analysis in the order of 10000x (from an original processing time of 9.4 sec down to 0.9 msec). WhiskTrackGP comprises a “one-stop shop” solution for labs and companies active in the field of behavioral studies.

Keywords: whisker tracking,behavior,cerebellum,whisket kinematics,high performance computing,nvidia,maxeler,image acquisition,pharmaceuticals,pharmacogenetics
An imaging-based systems approach to understand the neuroimmunological manifestations of Dengue infection in humans (DENGUE)

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: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 191149.44
EU funding (EUR): 191149.44
Participants: 1
Project status: SIGNED

Dengue is a mosquito-borne illness for which approximately half of the world’s population is at risk, with close to 100 million symptomatic cases per year. Classified as a Neglected Tropical Disease (NTD) that disproportionately affects the world’s most vulnerable populations, basic and translational research regarding the cellular consequences of Dengue virus (DENV) infection is vastly under-represented. Even fewer studies examine the neuro-immunological manifestations of severe dengue which embodies the most fatal and dangerous form of disease. However, as the central nervous system (CNS) is inaccessible in humans with the rare exceptions of post-mortem brain tissue, the lack of appropriate human models and platforms to test large-scale functional perturbations have hindered efforts to conduct human studies in the context of DENV infection. Here, we propose to develop an autologous human model that represents the DENV neuro-immune interface by employing a two-step reprogramming method that differentiates donor blood to derive donor-matched induced neuronal cells (iNs) via induced pluripotent stem cells (iPSCs).We will then establish a DENV infection paradigm of both neural and immune lineage cells, and systematically screen for potential neuro- and immune-modulators of DENV pathogenicity and cell-cell interactions. High-content image-based profiling and convolutional neural networks (CNNs) will be implemented to untangle the contributions of different cell types and learn heterogeneous cell-type-specific or donor-specific phenotypes. Finally, for promising candidate modulators that either affect cellular DENV pathogenicity, those that alter the baseline neuro-immune interactions, or those in which the drug response differs among donors - we will conduct matched transcriptomic profiling to uncover functional gene networks that regulate features of DENV-mediated perturbation of neuro-immune homeostasis.
MIGOSA - Image Sensor for low light Camera Applications (MIGOSA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Finland
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2018)
Start date: 2018-12-01
End date: 2021-10-31
Duration (months): 35.0
Total project cost (EUR): 2960375.0
EU funding (EUR): 2072262.5
Participants: 1
Project status: CLOSED

Challenge: One of the biggest global challenges in the low-light camera applications e.g. in the video surveillance is the need to significantly improve image quality and identification in low light. Even software enhanced low light images remain blurred and are unsuited to automated image-recognition demonstrating the need to develop more efficient image sensors. Solution: Cameras with Pixpolar’s low light image sensor (MIG technology) capture both visible light and Near Infra-Red (NIR) light that cannot be seen with the naked eye. Cameras equipped with MIG image sensors extend 1.6 times the maximum detection range compared to existing technology. It allows superior identification of objects, and is immune to interference. It also allows a 80% reduction in illumination cost or 60% reduction in the number of cameras required for area surveillance at cost lower than the cost of present technology. A prototype MIG pixel has been made, tested and validated. Business opportunity: MIG image sensor is a game changing technology. The advantages of the MIG technology enables Pixpolar to enter the large global image sensor market (USD 15.2B by 2020). The MIG technology was demonstrated in Horizon 2020 Phase 1 to many camera producers and camera end users. They all saw great market opportunity in embedding MIG image sensors in their cameras. A solid business case can be secured by targeting first 5-10 camera manufacturers, from which further business expansion can be nurtured. In February 2018 the business case was also endorsed by an investment of 2 million EUR from an international investor consortium. The purpose of the MIGOSA project: To accomplish test production of low light MIG image sensors and to start the commercialization of the image sensors. This will open the large business potential in the fields of Security and Surveillance (S&S), night vision, maritime and scientific markets as well as later in the automotive, aviation, drone, industrial, and medical markets.

Keywords: image sensors,semiconductor,outdoor surveillance cameras
Wave turbulence: beyond weak turbulence (WATU)

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: France,France
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-10-01
End date: 2020-12-31
Duration (months): 63.0
Total project cost (EUR): 1991611.0
EU funding (EUR): 1991611.0
Participants: 4
Project status: CLOSED

Wave turbulence and fluid turbulence belong to the same class of turbulent states made of a large number of nonlinearly coupled degrees of freedom driven far from equilibrium. The Weak Turbulence Theory is a statistical theory of low amplitude turbulent waves. The predicted phenomenology (energy cascade) is very similar to that of fluid turbulence, which badly lacks such a statistical theory. Weak Turbulence is thus a promising mathematical framework for turbulence in general. It is observed in many systems such as planetary atmospheres, astrophysical plasmas, tokomak fusion plasmas, superfluid turbulence or Bose-Einstein condensates for example. The theory is much less advanced in the strong wave turbulence case for which a richer phenomenology appears due to the generation of coherent structures. Furthermore, to a large extent the theory lacks experimental validation. My project aims at studying several physical systems (vibrating elastic plate, 1D and 2D water surface waves, 3D internal waves in a stratified fluid) specifically chosen to highlight various features of wave turbulence both in the weak and strong regimes. Under strong forcing, coherent structures will appear such as developable cones (elastic plates), solitons and sharp water wave ridges (water surface waves) or even fluid turbulence for overturning 3D internal waves. I will specifically use two unique large-scale facilities available in LEGI (Grenoble, France): the 30 m 1D wave flume for surface water waves and the 13m-diameter Coriolis turntable for water surface waves and internal waves. I will setup advanced space-time resolved profilometry and velocimetry techniques adapted to the dimensionality and size of each one of these systems. Advanced statistical tools on massive datasets will provide a profound insight into the coupling between waves and structures in the various regimes of wave turbulence.

Keywords: wave turbulence,weak turbulence,experiments,surface waves,internal waves
An Integrative Approach to Understanding Convergent Evolution in Ant-eating Mammals (ConvergeAnt)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: France
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-09-01
End date: 2022-08-31
Duration (months): 72.0
Total project cost (EUR): 1880570.0
EU funding (EUR): 1880570.0
Participants: 1
Project status: CLOSED

Despite its widespread occurrence across the tree of life, many questions still remain unanswered concerning the fascinating phenomenon of convergent evolution. Ant-eating mammals constitute a textbook example of morphological convergence with at least five independent origins in placentals (armadillos, anteaters, aardvarks, pangolins, and aardwolves). The large extent of convergent morphological evolution, the importance of molecular convergence, and the role of the host microbiome in diet adaptation are currently gaining acceptance. However, large-scale comparative studies combining morphology, host genomics, and metagenomics of the associated microbiome are still lacking. In the ConvergeAnt project, we propose taking advantage of the unique set of convergently evolved characters associated with the ant-eating diet to investigate the molecular mechanisms underlying phenotypical adaptation. By using state-of-the art phenotyping methods based on X-ray micro-computed tomography and Illumina sequencing technologies we will combine morphometric, genomic, and metagenomic approaches to evaluate the extent of convergent evolution in the skull of myrmecophagous placentals, in their genomes, and in their associated oral and gut microbiomes. With this ambitious research proposal, we aim at providing answers to longstanding but fundamental evolutionary questions pertaining to the mechanisms of convergent evolution. The ConvergeAnt project will be the first of its kind to apply such an integrative approach to investigate the complex interplay between the mammalian genome and its associated microbiome in a classical case of adaptive convergence driven by a highly specialized diet.

Keywords: molecular evolution,morphological evolution,development,convergence,microbiomes