Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Functional learning: From theory to application in bioimaging (FunLearn)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Switzerland
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 2665115.0
EU funding (EUR): 2665115.0
Participants: 1
Project status: SIGNED

This research program is motivated by the remarkable ability of deep neural networks to improve the quality of biomedical image reconstruction. While the results reported so far are extremely encouraging, serious reservations have been voiced pertaining to the stability of these tools and the extent to which we can trust their output. The main concern is that it is very difficult to control the Lipschitz constant of the current neural architectures. This means that a small perturbation of the input can result in a huge deviation of the output, which can have devastating effects in the context of image reconstruction. We believe that the remedy lies in the use of much shallower networks, which are easier to control. However, a reduction in the number of layers will degrade the performance, unless we augment the sophistication of the primary modules; in particular, the nonlinear ones. By drawing on our career-long experience with splines, we therefore propose to rely on the powerful tools of functional optimization to improve learning architectures. This will allow us to develop two novel approaches to learning: sparse simplicial splines, and hierarchical spline networks—an extension of the popular deep ReLU neural networks In parallel, we shall develop specific neural networks to solve two outstanding problems in biomedical imaging: - A “best-of-both-worlds” approach to biomedical image reconstruction, involving the stable integration of state-of-the-art physics-based solvers with the new tools of machine learning; - The 3D reconstruction of the entire manifold of configurations of a biomolecule from a large collection of very low-dose cryo-electron tomograms. This goal, which may be viewed as the Graal of structural biology, has remained elusive so far and calls for an entirely new paradigm for single-particle analysis.

Keywords: biomedical imaging,image reconstruction,machine learning,inverse problems,functional optimization,splines,medical imaging,cryo electron microscopy
Evaluation of three-dimensional velocity field, mixing field, and flame-front in a model gas turbine combustor (3DFlameGT)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-03-19
End date: 2020-03-18
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

As noted by European turbine network, gas turbine is and will remain dominant mode of energy conversion. An advanced experimental study of a model gas turbine combustor is proposed. The lasers play indispensable role in the experimental combustion research due to the associated non-intrusive nature. The laser diagnostics have evolved from a point measurement to planar measurement (2D) over the years. The objective of the present work is to develop novel laser diagnostics to deduce instantaneous 3D fields of the flow, air/fuel mixing, and flame-front topology in a 'volume'. The proposed technique will be applied to a model gas turbine combustor operating with and without combustion instability. A scanning stereoscopic Particle Image Velocimetry (flow field) and Laser Induced Fluorescence of CH2O radical (flame-front) and of fuel concentration will be assembled correlated with pressure traces. A 4 head Nd:YAG laser cluster will generate 4 parallel laser sheets separated in space and images will be recorded by high speed cameras. The novel use of laser cluster ensures high pulse energy and temporal resolution. Image processing will be developed to reconstruct the 3D fields from the planar slices. The approach will be validated in a Bunsen burner before applying it to swirl stabilized flames that mimic a typical gas turbine combustor. The technology readiness level (TRL) of the research will reach between TRL 3 to 4. The proposed research will diversify the skill set of the researcher and associated complementary training will ensure that the fellow becomes an established academic researcher. The impact of this work is the generation of a unique 3D flame database, which is of great importance for the understanding of turbulent flame-flow interaction and the evaluation of advanced numerical combustion models. Thus, the proposed research will enhance European competitiveness in gas turbine design and can have an impact on automotive engine development.

Keywords: combustion,laser diagnostics,optical flow diagnostics,turbulence,gas turbine,combustor,particle image velocimetry,planar laser induced fluorescence,plif,flame
Eco Design: Composite functionalization: thermal and electrical conductivity (ECOFUNEL)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Spain,Spain,France
Call: Eco Design: Composite functionalization: thermal and electrical conductivity (H2020-CS2-CFP03-2016-01, 2016)
Start date: 2017-02-01
End date: 2020-09-30
Duration (months): 44.0
Total project cost (EUR): 499495.0
EU funding (EUR): 499495.0
Participants: 3
Project status: CLOSED

The aim is to reduce weight of metallic parts but keeping conductivity properties. Potential application is a valve actuator body for which EMI protection and bonding is required. Additionally it will be explored various manufacturing process with thermoplastic composites reinforced with short or long fibres. Nevertheless these solutions cannot be simply achieved by a direct paradigm change from aluminium alloy towards thermoplastic composite (black metal approach). They actually require some innovative concepts in terms of material formulation and functionalitation strategy in order to meet both electrical conductivity and EMI protection requirements. The innovative solution proposed by the ECOFUNEL consortium is focused onto the use of conductive electrically thermoplastic-based composite materials as an alternative solution to metallic materials keeping constant the final conductivity properties of the actuator body. The thermoplastic-based composite materials provide some major advantages as compared with thermoset-based composite materials: a wide range of functionalization, a high production rate and recyclability. Some high performance thermoplastic resins will be used in order to ensure high mechanical properties and strong chemical resistance versus aeronautic fluids or other aggressive chemical products. To improve mechanical properties, some chopped or continuous carbon fibres will be used according to the technical solutions proposed and the processing methods related to. The technical solutions developed by the ECOFUNEL consortium will provide: - high mechanical properties thanks to both carbon fibres (short or continuous) and high performance thermoplastic resin, - high level of electrical conductivity thanks to both carbon fibres (short or continuous) and carbon conductive particles (CNT or graphene), - EMI shielding efficiency.

Keywords: conductivity,composites,carbon,aditives,conductive particles,bonding,conductive matrix
Future on-/off-road transport and mobility research, cross-border cooperation strategies, realization actions and procurement processes (FUTURE-HORIZON)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Coordination and support actions
Partnership: EGVI (cPPP)
Countries involved: Germany,Austria,Germany,Germany,Germany,Italy,Germany,Austria,Belgium,Greece,Sweden,France,France,France,Kenya
Call: Setting up a common European research and innovation strategy for the future of road transport (H2020-LC-GV-2020, 2020)
Start date: 2021-02-01
End date: 2023-05-31
Duration (months): 28.0
Total project cost (EUR): 998595.0
EU funding (EUR): 998595.0
Participants: 19
Project status: SIGNED

FUTURE-HORIZON will, with various actions clustered in five WPs, support ERTRAC, future Horizon Europe partnerships and the European Commission in identifying future research needs for upcoming R&I programmes to further facilitate a sustainable and efficient road transport system in Europe, while also extensively fostering international cooperation. By doing an elaborate analysis of the first Horizon Europe calls and matching these topics with the ERTRAC roadmaps in WP1 future research priorities and current research gaps will be identified. The regular update of ERTRAC roadmaps in the case of need is a continuous task that will also be done within WP1. A link to the predecessor project FUTURE-RADAR will be established, deepening further the understanding of the European research landscape, linking the findings to roadmaps, partnerships, projects, literature and patents. The purpose of WP2 will be the exploration of opportunities for complementing the strategic planning of the well-established RTR ecosystem in Europe by analyses, benchmark and collaboration with other relevant world regions, focusing predominantly on North and South America, Asia and Africa. First RTR strategies in established markets will be mapped and then compared to European RTR strategies. From these findings targets, programmes and achievements will be derived to complement the ERTRAC roadmaps, creating an international perspective for them. In WP3 the focus will mainly lie on emerging economies. The implementation actions will provide platforms to develop capacities and capabilities to develop, implement and operate innovative sustainable mobility solutions. Partnerships among transport stakeholders across partner and European countries will be fostered and a catalogue of implementation concepts for sustainable mobility will be developed and fed back to ERTRAC. Dissemination, focusing on ERTRAC visibility and publications, will be done in WP4. Project coordination will be done in WP5.

Keywords: ertrac,2zero,ccam,research priorities,research gaps,international cooperation,procurement
Symbiosis of smart objects across IoT environments (symbIoTe)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Italy,Austria,Italy,Spain,Spain,Spain,Germany,Italy,Italy,Switzerland,Croatia,Poland,Greece,Portugal
Call: Internet of Things and Platforms for Connected Smart Objects (H2020-ICT-2015, 2015)
Start date: 2016-01-01
End date: 2018-12-31
Duration (months): 36.0
Total project cost (EUR): 7104827.5
EU funding (EUR): 7104827.5
Participants: 18
Project status: CLOSED

Connected smart objects have invaded our everyday life across multiple domains, e.g. home withautomation solutions, assisted living with sensors and wearables to monitor personal activities, smart transportation and environmental monitoring. IoT is evolving around a plethora of vertically isolated platforms, each specifically suited to given scenarios and often adopting non-standard, sometimes fully proprietary, protocols to control the variety of sensors, actuators and communication elements. symbIoTe comes to evolve this fragmented environment and provides an abstraction layer for a unified control view on various IoT platforms and sensing/actuating resources. symbIoTe designs and develops an IoT orchestration middleware capable of unified and secure access to physical and virtualized IoT resources; hierarchical and orchestrated discovery and control across multiple IoT platforms; federation of IoT controllers and resources for cooperative sensing/actuation tasks; seamless roaming of smart objects across smart spaces. symbIoTe builds its orchestration middleware on top of existing standards for protocols and interfaces, plus a number IoT platforms both proprietary (i.e. developed by its industrial partners) and from open source (e.g. OpenIoT). This unique set of backgrounds and foreground can result in a significant step forward in horizontal integration and federation of IoT domains. Five use cases with real large scale deployments have been selected to validate our vision in representative smart spaces: home/residence, educational campus, stadium, mobility and yachting. Engagement with real users is key in our validation process. With its research, symbIoTe can enable innovative business models for a large set of stakeholders of the IoT value chain, and particularly SMEs and new entrants in the IoT market. The consortium includes direct beneficiaries of these impacts, including small and large industry with IoT business and renowned research performers.

Keywords: interoperability,device roaming,iot federation,ubiquitous resource discovery,resource trading,business models,user modelling,security
European Aquaculture Training for improving Seafood Husbandry (EATFISH)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Ireland,Iceland,Spain,Ireland,Hungary,Norway,Belgium,France,Netherlands,Denmark,United Kingdom,Portugal
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2021-01-01
End date: 2025-06-30
Duration (months): 54.0
Total project cost (EUR): 4075413.48
EU funding (EUR): 4075413.48
Participants: 14
Project status: SIGNED

Aquaculture is the fastest growing food sector since the 1970s and its most important purpose is to provide healthy and safe food adapted to consumer preferences. At the same time there are fundamental concerns about the ways we farm and transport food across the world, which are related to negative environmental impacts. Hence, sustainable aquaculture has been identified as the “greatest and most feasible” way to obtain adequate seafood for human consumption and achieve the UN Sustainable Development Goals 2, 4, 13 and 14 on food security, quality education, climate action and use of the oceans, seas and marine resources for sustainable development. The objective of EATFish is a sustainable and profitable European aquaculture sector to secure healthy seafood for our growing society. With a truly multidisciplinary consortium composed of universities, research institutes and private sector partners we propose cutting-edge research related to the biology and technical aspects of aquaculture and have a similarly large effort directed towards socio-economic and governance aspects of aquaculture. Through this overarching approach we aim to: 1. Optimise resource economy in European aquaculture, such that it contributes to a circular bioeconomy 2. Ensure animal health and welfare 3. Develop novel aquaculture products targeted to specific market segments 4. Refine aquaculture governance to facilitate sustainable development of the sector 5. Enhance the skills and competences of future aquaculture professionals By addressing these issues, we intend to aid European aquaculture to address current and future challenges related to competition in the market place, sustainability, disease in aquaculture systems and governance.

Keywords: consumer perception
Europlanet 2024 Research Infrastructure (EPN-2024-RI)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Integrating activities and infrastructures
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Germany,Germany,Spain,Italy,Italy,Italy,Ethiopia,Iceland,Austria,Germany,Spain,Italy,Argentina,Greece,Switzerland,Hungary,Lithuania,Poland,Slovakia,Sweden,China,Russian Federation,Belgium,Finland,Hungary,Poland,Korea, Republic of,France,France,France,France,France,France,Czechia,Netherlands,United Kingdom,Denmark,United Kingdom,United Kingdom,United Kingdom,Botswana,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Integrating Activities for Advanced Communities (H2020-INFRAIA-2019-1, 2019)
Start date: 2020-02-01
End date: 2024-07-31
Duration (months): 54.0
Total project cost (EUR): 11131775.75
EU funding (EUR): 10000000.0
Participants: 62
Project status: SIGNED

The Europlanet 2024 Research Infrastructure (EPN-2024-RI) will provide the pan-EU infrastructure needed to address the major scientific and technological challenges facing modern planetary science and strengthen Europe’s position at the forefront of space exploration. EPN-2024-RI builds on the foundations of a series of highly successful EU-funded projects that have created the leading Virtual Observatory for planetary data and the largest, most diverse collection in the world today of field and laboratory facilities capable of simulating and analysing planetary environments. EPN-2024-RI will provide Transnational Access (TA) to an enhanced set of world-leading field and laboratory facilities, Virtual Access (VA) to state-of-the-art data services and tools linked to the European Open Science Cloud (EOSC), and Networking Activities (NA) to widen the user base and draw in new partners from Under Represented States (URS), non-EU countries, industry and interdisciplinary fields, and to train the next generation of RI leaders and users. With 56 beneficiaries, from both industry and academic sectors, providing access to 31 TA facilities on 5 continents and 4 VA services linking over 100 data services and catalogues, EPN-2024-RI represents a step-change in ambition for planetary science worldwide. Innovations include the establishment of a ground based observation network to support space based missions, the launch of an interactive mapping service to provide virtual exploration of planetary surfaces, and the development of machine learning tools for data mining to fully exploit and analyse planetary data sets. EPN-2024-RI will establish global collaborations and an international userbase for the RI through inclusion of partners in Africa, Asia and South America. Ultimately, EPN-2024-RI will support the transition of this unique infrastructure to a sustainable future within the structure of the Europlanet Society.

Keywords: solar and interplanetary physics,planetary systems sciences,very large data bases archiving,handling and analysis,instrumentation,telescopes,detectors and techniques
Drivers and Feedbacks of Changes in Arctic Terrestrial Biodiversity (CHARTER)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Fighting and adapting to climate change
Action type: Research and Innovation actions
Countries involved: Iceland,Germany,Germany,Austria,Switzerland,Norway,Norway,Norway,Finland,Finland,Finland,Sweden,Finland,Denmark,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: The changing cryosphere: uncertainties, risks and opportunities (H2020-LC-CLA-2019-2, 2019)
Start date: 2020-08-01
End date: 2025-01-31
Duration (months): 54.0
Total project cost (EUR): 5899931.25
EU funding (EUR): 5899931.25
Participants: 21
Project status: SIGNED

CHARTER aims to advance state-of-the-art (SOTA) knowledge on Arctic biodiversity change and social-ecological systems (SES) on four critical fronts: i) Feedbacks: To understand transitions in vegetation cover, energy balance and cryospheric change at centennial, decadal, and present-day time scales; ii) SES and biodiversity: To understand the effects of biodiversity changes on indigenous/local communities and traditional livelihoods, e.g. reindeer herding; iii) Modelling: To integrate biochemical/permafrost soil carbon exchange, sea ice and albedo into an Earth System Model (ESM), and incorporate these into the latest Arctic Regional Climate modeling efforts; and iv) Policy: To develop strategies supporting Arctic communities with co-benefits and synergies between adaptation, mitigation and policy implications. To accomplish these, CHARTER combines expertise from Earth System sciences, biodiversity indices and SES research. CHARTER is an ambitious effort to advance SOTA modelling of 21st century Arctic change with major socio-economic implications and feedbacks for the Cryosphere. We bring together our strongly participatory approaches that incorporate indigenous/local communities’ ways of knowing regional changes with SOTA research on circumpolar climate dynamics and long-term palaeoecological studies. CHARTER collates and processes truly transdisciplinary quantitative and qualitative empirical datasets for a holistic view that can be modeled. Arctic residents and stakeholders work alongside scientists to identify risks and viable adaptation strategies in relation to projected changes and future resilience in Arctic SESs. CHARTER combines natural sciences with ESM and participatory approaches to leverage the untapped potential for wild ungulate and livestock management to regulate global climate feedbacks through biogeoengineering. CHARTER’s results will lead to new tools and data for implementing sustainable strategies and establish public dialogue on the Arctic.

Keywords: arctic tundra,social ecological resilience,indigenous peoples,participatory research,permafrost dynamics,sea ice cover,rain on snow,earth system model,biogeoengineering,mitigation,adaptation