Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
BioActive Coatings in multi-well cell culture plates (BIOACTIVECOATINGS)

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: France,France
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2016-04-01
End date: 2017-09-30
Duration (months): 18.0
Total project cost (EUR): 149998.0
EU funding (EUR): 149998.0
Participants: 2
Project status: CLOSED

Cell culture is a method used for growing living cells artificially outside their natural environment under controlled conditions. It is used for a large range of applications such as studies of cellular functions, drug discovery, biotechnologies and regenerative medicine. Cell culture in vitro is generally performed on plastic substrates, especially multi-well plates or Petri dishes that are made of polystyrene, a very stiff and synthetic material. This stiff substrate can bias the experimental results and mask cellular responses. These culture conditions contrast drastically with the conditions of the cellular microenvironment in vivo, where the cells are surrounded by a soft extra-cellular matrix (ECM) that provides mechanical and biochemical signals. Bioengineers have recently made developments on hydrogels and surface coatings that better mimic the natural ECM and present: 1) a controlled stiffness in a more physiological range than plastic dishes and 2) active biomolecules (peptides, growth factors) that can target specific receptors and trigger cellular responses. However, to date, there are still very few commercially available alternatives to the traditional plastic plates for high throughput cell culture in more relevant conditions. Hydrogel-coated plates have begun to be developed but lack stability in time and are highly sensitive to hydration. The aim of the BioActiveCoatings project is to bring to the market surface-coated plates with a control over thickness, stiffness and presentation of bioactive molecules (peptide, growth factor). This innovative strategy based on the layer-by-layer assembly of biopolymers will be implemented on multi-well plates, which are compatible with biological assays and optical microscopy. The Lbl-coated multi-well plates will broaden the application of cell culture plates in research and industry for fundamental biological studies, production of biological molecules, diagnosis and regenerative medicine.

Keywords: surface coatings,multi well cell culture plates,nanoscale coating,bioactive molecule
Standard model Precision Electroweak tests at Acute Rapidities (SPEAR)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-06-01
End date: 2025-11-30
Duration (months): 66.0
Total project cost (EUR): 1875781.0
EU funding (EUR): 1875781.0
Participants: 1
Project status: SIGNED

The Standard Model (SM) is widely accepted to be an approximation of a more complete theory of nature, but laboratory tests have failed to identify a conclusive deviation from its precise predictions. In the SM two of the four fundamental forces of nature, namely the electromagnetic and weak nuclear forces, are governed by three fundamental parameters. These parameters are precisely fixed by experimental determinations of the Z boson mass, the fine structure constant, and the Fermi constant. Other parameters are subsequently predictable and can therefore be confronted with experimental data, potentially exposing physics effects beyond the SM. Of notable importance are the W boson mass and the weak-mixing angle since these two parameters are not yet measured as precisely as they are predicted. A delicate feature of the SM, which could easily be perturbed by new physics, is the universality between the coupling strengths of the three known lepton generations to the gauge bosons. There is an intriguing set of beauty hadron measurements which suggest a violation of lepton universality, with a particularly large effect in the third generation. While inconclusive at this stage these results intensify the demand for a test of a potentially related anomaly in the partial decay width of the W boson to third generation leptons. Qualitatively new ideas are needed to tackle these scientific problems. LHCb is the first experiment of its kind, as a small-angle spectrometer detector at a hadron collider, and the SPEAR project is well timed to analyse existing data from LHCb and the full dataset from the first running period with the LHCb upgrade. The SPEAR project sets ambitious goals of (i) measuring the W mass for the first time with a small-angle spectrometer (ii), making the first weak mixing angle determination at a hadron collider that matches the precision of electron-positron colliders, and (iii) resolving the long-standing W boson lepton universality puzzle.

Keywords: precision electroweak collider hadron beyond standard model
Providing services under Horizon 2020 enhancing the innovation management capacity of Hungarian SME's within the framework of the Enterprise Europe Network – 2020-21 (INNO-HUN 2020-21)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Hungary,Hungary,Hungary,Hungary,Hungary,Hungary,Hungary,Hungary
Call: H2020 ENTREPRISE EUROPE NETWORK SGA4 2020-2021 (H2020-EEN-SGA4-2020-2021, 2019)
Start date: 2020-01-01
End date: 2021-12-31
Duration (months): 24.0
Total project cost (EUR): 219422.5
EU funding (EUR): 219422.5
Participants: 8
Project status: CLOSED

The global objective of the "Providing services under Horizon 2020 enhancing the innovation management capacity of Hungarian SME's within the framework of the Enterprise Europe Network - 2020-21" project is to effectively contribute to the innovation driven competitiveness and sustainable growth of the European economy via improving the innovation management processes and culture of Hungarian SMEs by enabling them to get their products, services successfully into the market. The concept of this project focuses on the development of Innovation Management capabilities via two different types of high-added value services: • “Key Account Management” for the beneficiaries of the EIC Pilot programme • “Enhancing SME innovation management capacity” with the usage of IMP3rove and Innovation Health Check tools/methods. Partners delivering services are members of the Hungarian Consortium for Enterprises (HCE). Their in-depth innovation management portfolio will be accessible for SMEs from all parts of the country.

Keywords: enterprise europe network,horizon 2020,key account management,enhancing sme,innovation management capacity,eic pilot,imp3rove
Personalized Therapies for Atrial Fibrillation. A Translational Approach (PersonalizeAF)

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: Information Science and Engineering
Countries involved: Spain,Germany,Germany,Italy,Spain,Spain,Norway,France,Netherlands,Netherlands,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2020-02-01
End date: 2024-01-31
Duration (months): 48.0
Total project cost (EUR): 3943449.36
EU funding (EUR): 3943449.36
Participants: 14
Project status: SIGNED

Atrial Fibrillation (AF) is the most common cardiac arrhythmia affecting more than 6 million Europeans with a cost exceeding 1% of the EU health care system budget (13.5 billion annually). New treatment strategies and the progress achieved in research on AF mechanisms and substrate evaluation methods to date have not been commensurate with an equivalent development of the knowledge and technologies required to individually characterize each patient in search of the most efficient therapy. PersonalizeAF addresses this challenge by delivering an innovative multinational, multi-sectorial, and multidisciplinary research and training programme in new technologies and novel strategies for individualized characterization of AF substrate to and increase treatments’ efficiency. From the research point of view, PersonalizeAF will integrate data and knowledge from in-vitro, in silico, ex vivo and in vivo animal and human models to: 1) generate an individual description of the state of the atrial muscle identifying the disease mechanisms and characteristics; 2) understanding the potential effect that different therapies have on different atrial substrates; and 3) combining this information to generate a specific profile of the patient and the best therapy for each patient. With this purpose, PersonalizeAF partnership aggregates relevant scientific staff from the academic and clinical world with highly specialised biomedical companies which will be involved in a high-level personalised training programme that will train a new generation of highly skilled professionals and guarantee ESRs and future PhD students outstanding Career Opportunities in the biomedical engineering, cardiology services and medical devices sectors. PersonalizeAF will disseminate results to a wide spectrum of stakeholders, create awareness in the general public about atrial fibrillation and encourage vocational careers among young students.

Keywords: atrial fibrillation,diagnostic tools and technologies,therapy tools and technologies,disease classification
Distributed management of Network Slices in beyond 5G (MonB5G)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Ireland,Spain,Cyprus,Finland,Greece,Greece,Poland,France,France,France
Call: 5G Long Term Evolution (H2020-ICT-2019-2, 2019)
Start date: 2019-11-01
End date: 2023-04-30
Duration (months): 42.0
Total project cost (EUR): 5572491.25
EU funding (EUR): 5572491.25
Participants: 12
Project status: SIGNED

As 5G technology is maturing, and in view of new pervasive mobile services of different vertical industries, it will be a necessity to support massive numbers of coexisting network slices, with different performance requirements, functionality, and timespans. This puts significant strain on the management and orchestration system that traditional centralized designs, as in Cloud Computing and NFV, fail to cope with. MonB5G answers to these challenges, towards providing zero-touch management and orchestration in the support of network slicing at massive scales for 5G LTE and beyond. It proposes a novel autonomic management and orchestration framework, heavily leveraging distribution of operations together with state-of-the-art data-driven AI-based mechanisms. MonB5G is designed around a hierarchical approach that allows the flexible and efficient management of network tasks, while introducing a diverse set of centralization levels through an optimal adaptive assignment of monitoring, analysis, and decision-making tasks. MonB5G proposes a hierarchical, fault-tolerant, automated data driven network management system that incorporates security as well as energy efficiency as key features, in order to orchestrate a massive number of parallel network slices and significantly more diverse types of services in an adaptive and zero-touch way. MonB5G reuses standards-based MANO and MEC frameworks, extending them with embedded cognitive capabilities. It further provides trust mechanisms tailored to the targeted multi-stakeholder environment, for secure and trustworthy cross-domain operations. MonB5G has selected two use cases that will be trialed over the partners’ 5G testbeds, featuring automated, zero-touch slice management and orchestration across technical and administrative domains, enabling network operators to ensure end-to-end cross-domain SLAs, as well as AI-assisted policy-driven security monitoring and enforcement.

Keywords: dynamic slicing,distributed management and orchestration,energy efficiency,service management,zero touch,machine learning,trust management
New Forms of Calligraphy in China: A Contemporary Culture Mirror (WRITE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: Italy
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2020-11-01
End date: 2025-10-31
Duration (months): 60.0
Total project cost (EUR): 1113750.0
EU funding (EUR): 1113750.0
Participants: 1
Project status: SIGNED

Calligraphy is a central tenet of Chinese civilization. The whole history of China is strictly linked to the history of its writing and calligraphy. In contemporary times Calligraphy has undergone a radical change and it has evolved into new forms in all fields of visual and performing arts. WRITE will explore how all these forms emerged in: (F1) “fine and contemporary arts” where it became a naïf painting made of pictographic shapes of characters, an abstract combination of dots and lines, a “light-calli-photograph,” an artistic video based on digital strokes; (F2) decorative and applied arts, where the characters lost their connection with the linguistic meaning to become decorative elements used for commercial scopes or to design architectures; (F3) performing arts, where the rhythm, dynamism and harmonic movement of calligraphy became a choreographic gesture of a contemporary ballet or an improvised jazz song; (F4) graffiti art, where the presence of calligraphy along the streets evolved from Maoist propaganda posters into graffiti pieces made of wild-style characters or cursive tags. Using a multi-disciplinary approach, WRITE will analyze how these new forms have been transforming not only the creative practice of contemporary artists but also the language about calligraphy and art (F5/F6), reflecting new socio-political (F7) and economic (F8) orders. WRITE will examine the innovative ways in which these new forms of calligraphy have responded to, subverted or reinterpreted traditional idioms to define a modern artistic identity that exists comfortably within the global art world while remaining indelibly Chinese. By looking at contemporary calligraphy, WRITE will reveal how these new forms powerfully resonate with China’s rich and enduring cultural tradition and at the same time mirror the sweeping social and economic changes that have taken place in China during the last four decades.

Keywords: calligraphy,contemporary china,contemporary art
Collective awareness platform for outdoor air pollution (hackAIR)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Belgium,Norway,Greece,Netherlands
Call: Collective Awareness Platforms for Sustainability and Social Innovation (H2020-ICT-2015, 2015)
Start date: 2016-01-01
End date: 2018-12-31
Duration (months): 36.0
Total project cost (EUR): 2000406.25
EU funding (EUR): 2000406.25
Participants: 7
Project status: CLOSED

The overall objective of hackAIR is to develop and pilot test an open platform that will enable communities of citizens to easily set up air quality monitoring networks and engage their members in measuring and publishing outdoor air pollution levels, leveraging the power of online social networks, mobile and open hardware technologies, and engagement strategies. The hackAIR platform will enable the collection of data from: • measurements from existing air quality stations and open data • user-generated sky-depicting images (either publicly available geo-tagged and time-stamped images posted through social media platforms, or images captured by users • low-cost open hardware devices easily assembled by citizens using commercial off-the-shelf parts A data fusion algorithm and reasoning services will be developed for synthesising heterogeneous air quality data into air quality-aware personalised services to citizens. The hackAIR platform will be co-created with the users, and offered through: • a web application that communities of citizens will be able to install and customize • a mobile app that citizens can use to get convenient access to easy-to-understand air quality information, contribute to measurements by an open sensor, or by taking and uploading sky-depicting photos, and receive personalised air quality-aware information on their everyday activities The hackAIR platform will be tested in two pilot locations, with the direct participation of a grassroots NGO with >400.000 members and a health association with >19.000 members. Appropriate strategies and tools will be developed and deployed for increasing user engagement and encouraging behavioural change. The usability and effectiveness of the hackAIR platform, and its social and environmental impact will be assessed. A sustainability and exploitation strategy will pave the way for the future availability of the hackAIR toolkit, community and website, and explore opportunities for commercial exploitation.

Keywords: air pollution,particulate matter
PROMOTING ACTIVE AGEING: FUNCTIONAL NANOSTRUCTURES FOR ALZHEIMER’S DISEASE AT ULTRA-EARLY STAGES. (PANA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Spain,Spain,Belgium,Finland,Lithuania,Netherlands,Portugal,Portugal
Call: Biomaterials for treatment and prevention of Alzheimer's disease (H2020-NMP-2015-two-stage, 2015)
Start date: 2016-03-01
End date: 2021-08-31
Duration (months): 66.0
Total project cost (EUR): 7775972.5
EU funding (EUR): 7775972.5
Participants: 13
Project status: CLOSED

Alzheimer’s disease (AD) is the leading cause of dementia and loss of autonomy in the elderly, implying a progressive cognitive decline and limitation of social activities. Progressive aging of EU population will increase the magnitude of this problem in the next decades. Currently, there is not an effective method for the early diagnosis of AD. Therefore, there is an urgent need to develop new effective early diagnostic and therapeutic strategies to help in delaying the appearance of the most adverse symptoms of this disease. To defeat this challenge, PANA project bases its approach on the importance of tau oligomers in the early pathophysiological processes of AD. The effective strategy will be based on two fundamental pillars; on one hand, efforts will be focused on multimodal PET/MRI imaging which is gaining relevance as the best solution for diagnostic purposes due to the complementary advantages of both technologies, combining the high structural characterization of tissue provided by MRI with the enhanced sensitivity of PET imaging. On the other hand, the challenging development of a theragnostic nanostructures will be focused on tau oligomers detection, which would have to deliver theragnostic agents into the brain to provide in situ diagnostic and therapeutic effects. Therefore, PANA project focuses on developing theranostic nanostructures that specifically recognize very-early molecular markers of AD, and can be detected by means of non-invasive imaging methodologies (MRI and/or PET, which are already common techniques accessible in most hospitals) and eventually provide a therapeutic action if needed. To achieve this goal, we propose a unique consortium which combines neuroscientists, nanotechnologists, molecular imaging experts, clinicians and Small/Medium/Large Enterprises in an effort to use smart nanoparticles engineered with multifunctional biomaterial to provide new very-early diagnostic tools for AD, a vital medical/social problem in EU.

Keywords: alzheimer disease,nanotechnology,theragnostics,molecular imaging,nanostructures,nanoparticles
ALl optical signal recovery by Photonic neural network Integrated in a transceiver module (ALPI)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Italy
Call: Call for proposals for ERC Proof of Concept Grant (ERC-2020-PoC, 2020)
Start date: 2020-11-01
End date: 2022-04-30
Duration (months): 18.0
Total project cost (EUR): 150000.0
EU funding (EUR): 150000.0
Participants: 2
Project status: CLOSED

ALPI aims at the integration of a photonic neural network within an optical transceiver to increase the transmission capacity of the optical link. Based on a deep learning approach, the new compact device provides real time compensation of fiber nonlinearities which degrade optical signals. In fact, the tremendous growth of transmission bandwidth both in optical networks as well as in data centers is baffled by the optical fiber nonlinear Shannon capacity limit. Nowadays, computational intensive approaches based on power hungry software are commonly used to mitigate fiber nonlinearities. Here, we propose to integrate in the optical link the neuromorphic photonic circuits which we are currently developing in the ERC-AdG BACKUP project. Specifically, the proposed error-correction circuit implements a small all-optical complex-valued neural network which is able to recover distortion on the optical transmitted data caused by the Kerr nonlinearities in multiwavelength optical fibers. Network training is realized by means of efficient gradient-free methods using a properly designed data-preamble. A new neuromorphic transceiver demonstrator realized in active hybrid Si/InP technology will be designed, developed and tested on a 100 Gbps 80 km long optical link with multiple-levels symbols. The integrated neural network will mitigate the nonlinearities either by precompensation/autoencoding at the transmitter TX side or by data correction at the receiver RX side or by concurrently acting on both the TX and RX sides. This achievement will bear to the second ALPI’s goal: moving from the demonstrator to the industrialization of the improved transceiver. For this purposes, patents will be filed and a business plan will be developed in partnership with semiconductor, telecom and IT companies where a path to the commercialization will be individuated. The foreseen market is the big volume market of optical interconnection in large data centers or metro networks.

Keywords: neural network,deep learning,optical communication,optical transceiver,integrated optics,photonics