Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Artificial Dielectrics for High-frequency On-Chip antennas (AD-HOC)

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 Grant (ERC-2015-PoC, 2015)
Start date: 2016-09-01
End date: 2018-02-28
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 1
Project status: CLOSED

High-speed wireless communication and automotive radars are two applications with huge social and market potentials that can be revolutionized by the development of high-frequency (sub-terahertz) technology. Despite the recent advances in low-cost integrated circuits, the poor performance of on-chip antennas is nowadays the major bottleneck in converting the electrical signals (on-chip) into radiated ones (off-chip). For decades the problem of “surface waves” has prevented the efficient use of radiators on chip. The AD-HOC project aims at exploiting the breakthrough technology of Artificial Dielectric (AD) layers as the solution to the surface-wave problem of High-frequency On-Chip antennas. The processes necessary to micro-fabricate AD layers will be optimized with the goal of achieving reliable manufacturing, while offering design flexibility at low costs. This will allow the wide exploitation of the AD layers, as they can be used by industrial technology providers as add-on components to at least double the efficiency of their integrated circuit front ends. By overcoming the fundamental limitation of integrated antennas, AD layers have high potential to become a “standard” component in all future car-safety and wireless-communication devices. The AD-HOC project will bring this innovative technology to a pre-demonstration stage to strengthen commercialization and scaling-up opportunities.
Invitation to Researchers’ Night 2016-2017 HEllas (IRENE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European researchers' Night
Action type: Marie Skłodowska-Curie actions
Countries involved: Greece,Greece,Greece,Greece,Greece
Call: European Researchers' Night (H2020-MSCA-NIGHT-2016, 2016)
Start date: 2016-06-01
End date: 2017-11-30
Duration (months): 18.0
Total project cost (EUR): 273150.0
EU funding (EUR): 258750.0
Participants: 5
Project status: CLOSED

IRENE project concerns the organization of the most successful Researchers’ Night (RN) events in Greece as yet. 5 prestigious research organisations join forces and organize RN events in the most important Greek cities covering the country from north to south. At the forefront of every activity, researchers tackle existing stereotypes and make the public aware of research’s positive impact to society thus promoting key EU policies such as the RRI approach, gender equality and STEM education. In 2016, 5 RN events will be organized in the most populous Greek cities - Athens, Thessaloniki, Patras, Heraklion, Rethymno and Larissa, enabling more than 60% of the country’s population to enjoy and learn from them. In 2017, the cities are the same except for Larissa which is replaced by Karditsa, another important Greek city where a RN event has never been organized before. The awareness campaign uses a multi-channel marketing strategy mobilizing researchers from the early stages and conveying the RN messages to public at large regardless age, social and educational background. Special emphasis is put on promoting the researcher’s profession to young audience thus contributing on the Horizon 2020 target of attracting more researchers. During the Night a wealth of actions from technological exhibitions with hands-on experiments, demonstrations and speeches to kids’ activities and other entertaining activities performed by researchers, will satisfy every need and leave a legacy for the future. Nevertheless, the project does not finish when the Night ends. The impact assessment exercise that follows has been designed to provide accurate and unbiased quantitative and qualitative data. The prior experience of the consortium in organizing RN events, its professionalism as well as its extended network of collaborators locally and nationally, guarantee the success of IRENE whose ambition is to reach over 2 million citizens and attract totally 20.000 attendees to the events annually.

Keywords: research,science,education,entertainment,edutainment,events,public,students,greece,athens,thessaloniki,patras,heraklion,rethymno
Models and Algorithms for Graph centrality grounded on Nonlinear Eigenvalues Techniques (MAGNET)

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: Mathematics
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-07-01
End date: 2019-06-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Models and Algorithms for Graph centrality grounded on Nonlinear Eigenvalues Techniques The main objective of the project is to use nonlinear eigenvalue equations to model the importance of components in complex, large-scale and time-varying networks. Based on the nonlinear Perron-Frobenius theory, we will develop the theory to rigorously formalize the model from a mathematical viewpoint (existence, uniqueness, maximality). Based on the nonlinear spectral method for multi-homogeneous functions, we will develop numerical methods to compute the vector of nonlinear importances of the nodes. We will develop convergence analysis and quality guarantees for the algorithms and will use the methods to investigate the influence of nodes in large-scale networks arising from real-world applications. These theoretical and algorithmic advances will contribute the highly active research field of network centrality. Current tools for network centrality are based on linear models, and they can be shown to be inadequate in many realistic scenarios. The new methods developed here will have provably better performance. In addition to theoretical validation, the tools will be tested and refined on realistic data sets supplied by collaborators and external partners associated with the Institute for Future Cities at the University of Strathclyde. The Researcher's expertise include nonlinear eigenvalue theory, graph theory and their use in machine learning. The Host and the research group at University of Strathclyde have strong internationally recognized experience in mathematics of network science and numerical mathematics. Thus the two-way transfer of knowledge will ensure to reach the research goals with highest quality and impact. Moreover, this will represent a great training opportunity for the researcher to jump-start his academic career.

Keywords: networks,centrality,nonlinear eigenvalues,perron frobenius
An innovative ultra-fine bubble engineered nozzle for sustainable cost-effective water aeration (UFine)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-09-01
End date: 2018-12-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

One of the key processes for improving water quality is aeration. When waste water is cleansed in sewage farms, water aeration is required to enable the bacteria which consume the particles in suspension to thrive. Current aeration technology is slow, inefficient, very power consuming and smell generating. Electricity is a critical input for delivering municipal wastewater services, and today about 1% of the EU electricity demand is consumed by wastewater treatment plants. Electricity costs are usually between 5% to 30% of total operating costs among wastewater utilities worldwide. Nanogentech offers UFine, a time effective technology, consuming organic waste up to 9 times faster than traditional aeration methods and allowing cost reduction of over 80%. UFine also achieves a remarkable oxygen transfer rate of beyond 90%. UFine will target industrial wastewater treatment plants which treat only 60% of industrial wastewater before discharge. In the UK, there are many Wastewater Treatment Utilities that serve populations of over 2,000 people, above which the Directive’s secondary treatment standards applies. During the feasibility assessment, a minimum viable product will be defined, a go-to-market strategy and a supply chain will be established, as well as further development plan will be drafted. Within the overall project Nanogentech aims to optimize the ultra-fine bubble nozzle to enable a perfect scale-up of the solution from small wastewater utilities to greater agglomeration’s discharges and complete a successful demonstration with a wastewater company in the UK.

Keywords: ultra fine bubble,aeration,wwtp,purification,efficiency,energy saving,nozzle,oxygen transfer,water companies
ENGAGE.EU R-I BUILDING ENGAGED RESEARCH AND INNOVATION ECOSYSTEMS (ENGAGE EU R-I)

Framework: Horizon 2020 — Science with and for Society
Action type: Coordination and support actions
Countries involved: Italy,Austria,Germany,Norway,Bulgaria,France,Netherlands
Call: Support for the Research and Innovation Dimension of European Universities (Part II) (H2020-IBA-SwafS-Support-2-2020, 2020)
Start date: 2021-10-01
End date: 2024-09-30
Duration (months): 36.0
Total project cost (EUR): 2144865.0
EU funding (EUR): 2144865.0
Participants: 9
Project status: SIGNED

The ENGAGE.EU R&I project reinforces and expands the R&I component of the ENGAGE.EU European University. The Alliance was launched in 2020 and selected for funding under ERASMUS+. Additional Horizon 2020 funding will allow the Alliance and its members to deepen the transformations needed to achieve their R&I ambitions. Our R&I ambitions originate in business, economics, and social sciences research conducted by researchers and innovators in a continuous interplay with peers and stakeholders, addressing societal challenges, locally and internationally. Our ambitions were boosted by the European University Initiative and much inspired by the September 2020 EC Communications on a European Education Area and a European Research Area. The current project aims to lay the foundations for more engaged and more effective research and innovation ecosystems at partner and alliance level, taking a holistic, inter-sectoral and interdisciplinary perspective. We want to undertake our R&I missions in an experimental, agile, more aligned and more responsive way. Therefore, the Alliance will develop and test a common ENGAGE.EU R&I Strategy, a rolling Thematic Challenge-based Agenda and a series of Action Plans to be executed by the individual partners and the Alliance as a whole, in cooperation with internal and external partners and stakeholders in the ENGAGE.EU R&I Ecosystems. Action plans will cover Management and Coordination, Inno-preneurial Ecosystems, Talent Development, Data Management and Open Science, Dissemination and Communication. For example, we will adopt an External Relations and Funding Plan in dialogue with other alliances. We will conclude R&I Inno-preneurial Partnerships with socio-economic parties and foster their innovation pipelines. We will pilot talent development actions such as new metrics and set up a Staff Academy. We will launch a Platform for Collective Action to dynamize exchanges between internal and external R&I actors. We will integrate ethics, ge

Keywords: research and innovation,european university,engaged university,societal challenges,sustainable development goals,social sciences,economics,business,innopreneurship,digitalisation
Functionally Accurate Robotic Surgery (FAROS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Switzerland,Belgium,France,France,United Kingdom
Call: Research and Innovation boosting promising robotics applications (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2024-06-30
Duration (months): 42.0
Total project cost (EUR): 2990898.75
EU funding (EUR): 2990898.75
Participants: 6
Project status: SIGNED

FAROS aims at improving functional accuracy through embedding physical intelligence in surgical robotics. A key motivation for introducing robots in operating rooms has been their ability to deliver superhuman performance. However, for the vast majority of surgical procedures, robotic positioning precision alone is not sufficient to realize the “right gesture”. Indeed, surgical accuracy is a different concept from standard engineering notions such as geometric precision, resolution or sensitivity. This arises from the essence of the surgical tasks: surgeons do not let their gestures be dictated by pure geometric objectives; rather, functional objectives are what they pursue. FAROS explores venues to efficiently embody surgeon-like autonomous behaviour at different levels of granularity. The following key ingredients are foreseen: (1) a rich set of non-visual sensors that form a multifaceted representation of the surgical task; (2) functional models that relate non-conventional sensor signals to functional parameters (e.g. tissue type, quality of tissue or bone, condition of tissue/fluid, tissue damage, perfusion, implant stability, etc.); and (3) functional controllers, obtained through reinforcement learning, that encode physical intelligence and produce sensible autonomous robot actions geared at closing knowledge gaps or optimizing functional performance. This new concept, which we refer to as Functionally Accurate RObotic Surgery (FAROS), will be showcased on two critical spine surgery use cases, namely: pedicle screw placement and endoscopic lumbar discectomy. A compact yet multi-disciplinary team consisting of academics, industry and end-users will collaborate closely to build up robotic controllers that are better suited at delivering functional accuracy in the presence of large variability and disturbances inherent to every surgical act.

Keywords: surgical robotics,non visual sensors,decision making,functional accuracy
Unravelling the complexity of plant-insect interactions: the hidden role played by herbivore-associated-organisms (HerbivoreAssociatedOrganisms)

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: Environment and Geosciences
Countries involved: Netherlands
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-01-04
End date: 2018-01-03
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

This Marie Skłodowska Curie Fellowship will allow a talented young researcher to pursue multidisciplinary research with an outstanding and internationally recognised group investigating plant-insect interactions. The Fellow will gain skills in a range of cutting-edge techniques for studying plant defences against herbivore attack whereas the Host group will benefit from the Fellows’ expertise in methods of behavioural assays not currently utilized in the group. The Fellow and the Host will address together the complexity of plant-insect interactions using a very innovative approach based on the hidden role played by Herbivore-Associated-Organisms (HAOs). In fact, insect herbivores often consist of a community themselves including bacteria, fungi, parasitic worms, parasitic wasps and viruses which may play an important role in the expression of the herbivore’s phenotype and consequently on interactions of the herbivore with its food plant. However, up to date, most of the studies investigating plant defences have considered insect herbivores as individual organisms, thus neglecting the role of HAOs. The Fellow and the Host propose to experimentally manipulate the HAO composition to evaluate the effects on induced plant defences from plant gene expression to wider community consequences. This project is expected to advance the state-of-the-art of plant-insect interactions putting Europe research in the forefront of the research topic. This fellowships is also ideal for reaching the researcher’s scientific and professional maturity, to build up long lasting collaborations and finally to establish his own group afterwards.

Keywords: plant defence,herbivore associated organism hao,herbivory,insect plant interactions,parasitoid
Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization (TAILOR)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Germany,Germany,Spain,Spain,Spain,Ireland,Italy,Italy,Italy,Italy,Israel,Germany,Germany,Germany,Germany,Germany,Spain,Switzerland,Switzerland,Belgium,Belgium,Greece,Poland,Slovakia,Switzerland,Finland,Sweden,Slovenia,Sweden,France,France,France,France,France,France,France,Czechia,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom,United Kingdom,United Kingdom,United Kingdom,Portugal,Luxembourg
Call: Towards a vibrant European network of AI excellence centres (H2020-ICT-2019-3, 2019)
Start date: 2020-09-01
End date: 2024-08-31
Duration (months): 48.0
Total project cost (EUR): 12000000.0
EU funding (EUR): 12000000.0
Participants: 60
Project status: SIGNED

Artificial Intelligence (AI) and all the key digital technologies that are subsumed by the term AI today are an essential part of the answers to many of the daunting challenges that we are facing. AI will impact the everyday lives of citizens as well as all business sectors. To maximize the opportunities and minimize the risks, Europe focuses on human-centered Trustworthy AI, and is taking important steps towards becoming the worldwide centre for Trustworthy AI. Trustworthiness however still requires significant basic research, and it is clear that the only way to achieve this is through the integration of learning, optimisation and reasoning, as neither approach will be sufficient on its own. The purpose of TAILOR is to build a strong academic-public-industrial research network with the capacity of providing the scientific basis for Trustworthy AI leveraging and combining learning, optimization and reasoning for realizing AI systems that incorporate the safeguards that make them in the reliable, safe, transparent and respectful of human agency and expectations. Not only the mechanisms to maximize benefits, but also those for minimizing harm. The network will be based on a number of innovative state-of-the-art mechanisms. A multi-stakeholder strategic research and innovation research roadmap coordinates and guides the research in the five basic research programs. Each program forming virtual research environments with many of the best AI researchers in Europe addressing the major scientific challenges identified in the roadmap. A collection of mechanisms supporting innovation, commercialization and knowledge transfer to industry. To support network collaboration TAILOR provides mechanisms such as AI-Powered Collaboration Tools, a PhD program, and training programs. A connectivity fund to support active dissemination across Europe through for example allowing the network to grow and to support the scientific stepping up of more research groups.

Keywords: trustworthy ai,learning,optimisation,reasoning
Defining the immunosuppressive milieu of prostate cancer with single cell Omics technologies (milieuPCa)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-05-01
End date: 2025-04-29
Duration (months): 24.0
Total project cost (EUR): 174806.4
EU funding (EUR): 174806.4
Participants: 1
Project status: SIGNED

The immune contexture of prostate cancer is poorly studied, despite among researchers there is a strong interest in developing immunotherapy approaches to cure the disease. It is known that the immune system can have a dual role in the tumor progression, in other words, it can either promote or suppress tumor growth and invasion. However, the immunomodulation of prostate cancer and the immunosuppressive mechanisms involved are still not entirely known. In this proposal, I suggest using and integrating Omics data from various sources to give a holistic and comprehensive overview of the immune milieu of prostate cancer at a single cell level. Human prostate cancer samples will be used to generate transcriptomics with scRNA-Seq, epigenomics with scATAC-Seq and multiplexed images with the Hyperion system. Transcriptomics and epigenomics data at the single cell level will allow the classification of the cell types at the molecular level, the delineation of related biomarkers and biological mechanisms as well as the establishment of a prostate cancer specific deconvolution approach. Spatial information will be obtained for candidate biomarkers found through scRNA-Seq and scATA-Seq, and all data will be then integrated in order to create a link between transcriptional regulation, signaling pathways and cell-cell interaction. High throughput data integration in prostate cancer will allow elucidation of the biological mechanisms involved in an unprecedented level. This study will be a powerful resource for future basic studies on prostate cancer, but also for guiding the development of novel immunotherapy approaches.

Keywords: single cell analyses,multiplex imaging
SILKENE: Bionic silk with graphene or other nanomaterials spun by silkworms (SILKENE)

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: Italy
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2016-03-01
End date: 2017-08-31
Duration (months): 18.0
Total project cost (EUR): 149943.75
EU funding (EUR): 149943.75
Participants: 1
Project status: CLOSED

The project aims at designing, developing, scaling-up and optimizing a pre-industrial process towards the mass production of “silkene”, a bionic silk fiber reinforced with graphene, or other nanomaterials such as nanotubes, directly spun by silkworms. The idea is simply based on nanomaterial ingestion and subsequent “silkene” spinning by silkworms. Silkene is expected to be significantly stronger and tougher that its natural counterpart. Since silk produced by silkworms has already impacted our society, the impact of SILKENE project could also be significant. The process under consideration should in this project be technically verified, optimized and taken to a pre-commercial stage, for applications in industrial sectors such as smart or high-performance technical fibers, textiles, and related reinforced composites. The concept has been already preliminarily (see http://arxiv.org/abs/1504.06751) demonstrated at the laboratory scale with spiders, within our ERC Starting Grant "Bio-inspired Hierarchical Super Nanomaterials" (BIHSNAM).

Keywords: bionic,silk,graphene,nanotubes,nanomaterials,spiders,silkworms