Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Conformational studies of highly dynamic viral replication complexes (DynamicAssemblies)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: France
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-11-01
End date: 2024-10-31
Duration (months): 60.0
Total project cost (EUR): 2499150.0
EU funding (EUR): 2499150.0
Participants: 1
Project status: SIGNED

Paramyxoviruses, including, measles and a number of dangerous human pathogens, are negative strand RNA viruses that express their own machinery for transcription and replication. Different interactions between the nucleoprotein (N) and the phosphoprotein (P) are essential for chaperoning and assembly of N on newly synthesized RNA genomes to form nucleocapsids (NCs), as well as for initiating replication and transcription. Both N and tetrameric P exhibit extensive conformational disorder, with very long, unfolded regions that host important post-translational modification sites as well as regulatory interactions with host and viral partners. The presence of this level of disorder, in viruses whose genetic information is normally so parsimoniously exploited, remains unexplained. The elaboration of time-resolved, atomic resolution descriptions of the interaction trajectories of these highly disordered N:P complexes is extremely challenging, requiring the development of adapted methodologies that can account for their intrinsic flexibility. The role of N and P has been rendered yet more enigmatic following our recent observation that when mixed in solution they form liquid-like droplets. Such membraneless organelles are revolutionizing our understanding of cellular chemical biology, although their physical basis is poorly understood. Our aim is to describe these important complexes at atomic resolution, in particular to understand the role of the extensive conformational dynamics of N and P in the replication cycle. Our recent success in engineering soluble N:P complexes from measles that assemble into NCs, combined with ongoing development of NMR-based methods to investigate the structure, dynamics and interaction kinetics of large, intrinsically disordered proteins, fluorescence spectroscopy, cryoEM, SAXS, crystallography and molecular simulation, will provide the essential tools to investigate the functional mechanisms of these previously inaccessible complexes.

Keywords: intrinsically disordered proteins,liquid liquid phase separation,paramyxoviruses
Motor cortical beta bursts for movement planning and evaluation: Mechanisms, functional roles, and development (MOBETA)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: France
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-07-01
End date: 2025-06-30
Duration (months): 60.0
Total project cost (EUR): 1988189.0
EU funding (EUR): 1988189.0
Participants: 1
Project status: SIGNED

Each of us performs thousands of actions during the course of daily tasks, ranging from relatively simple (e.g. clicking on a mouse button), to highly complex (e.g. holding a sheet of paper in one hand while using scissors to cut it in a straight line with the other). All of these actions involve an intricate interplay between sensory integration, muscle coordination, and movement evaluation processes. Motor cortical activity in the beta frequency range (13-30Hz) is a hallmark signature of healthy and pathological movement, but its behavioral relevance remains unclear. Recently, it has become apparent that oscillatory beta activity actually occurs in discrete, transient bursts, and that short-lasting, high-powered bursts of activity only appear to be sustained oscillations when averaged over multiple trials. This renders previous theories of beta activity’s functional relevance, which involve slow changes of oscillatory power, untenable. However, this insight provides an exciting opportunity to examine beta activity on a trial-by-trial basis and directly relate it to forthcoming and ongoing motor behavior. Here, I propose a new theory for understanding motor-related beta activity that has the potential to overturn current thinking of the motor role of beta. The proposed project will build upon my recent research and use a multi-modal (electrophysiological recordings, non-invasive neuroimaging, and computational modeling), multi-scale (from cortical columns to multi-region networks), comparative (monkey and human), and developmental (longitudinal measures of human infants) approach to develop and test this theory. Not only will results from this project substantially extend our knowledge on the role of motor-related beta activity, they will have important implications for personalized, online treatments for pathophysiological disorders characterized by aberrant beta signaling.

Keywords: beta bursts,naturalistic actions,movement planning,sensorimotor processing,computational model,development
Machine learning to augment shared knowledge in federated privacy-preserving scenarios (MUSKETEER)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Italy,Germany,Spain,Ireland,Belgium,Greece,United Kingdom,United Kingdom
Call: Supporting the emergence of data markets and the data economy (H2020-ICT-2018-2, 2018)
Start date: 2018-12-01
End date: 2021-11-30
Duration (months): 36.0
Total project cost (EUR): 4380346.25
EU funding (EUR): 4380335.0
Participants: 11
Project status: CLOSED

The massive increase in data collected and stored worldwide calls for new ways to preserve privacy while still allowing data sharing among multiple data owners. Today, the lack of trusted and secure environments for data sharing inhibits data economy while legality, privacy, trustworthiness, data value and confidentiality hamper the free flow of data. By the end of the project, MUSKETEER aims to create a validated, federated, privacy-preserving machine learning platform tested on industrial data that is inter-operable, scalable and efficient enough to be deployed in real use cases. MUSKETEER aims to alleviate data sharing barriers by providing secure, scalable and privacy-preserving analytics over decentralized datasets using machine learning. Data can continue to be stored in different locations with different privacy constraints, but shared securely. The MUSKETEER cross-domain platform will validate progress in the industrial scenarios of smart manufacturing and health. MUSKETEER strives to (1) create machine learning models over a variety of privacy-preserving scenarios, (2) ensure security and robustness against external and internal threats, (3) provide a standardized and extendable architecture, (4) demonstrate and validate in two different industrial scenarios and (5) enhance data economy by boosting sharing across domains. The MUSKETEER impact crosses industrial, scientific, economic and strategic domains. Real-world industry requirements and outcomes are validated in an operational setting. Federated machine learning approaches for data sharing are innovated. Data economy is fostered by creating a rewarding model capable of fairly monetizing datasets according to the real data value. Finally, Europe is positioned as a leader in innovative data sharing technologies.

Keywords: data,privacy,industrial data,personal data,machine learning,data sharing,collaboration,share,data platform,security,confidenciality,data economy,data market,federated
Provision of services for enhancing innovation management capacity of the Cypriot SMEs by the Enterprise Europe Network Cyprus (KAM2CY4)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Cyprus
Call: EEN H2020 SGA3 (H2020-EEN-SGA3-2018, 2018)
Start date: 2019-01-01
End date: 2019-12-31
Duration (months): 12.0
Total project cost (EUR): 21532.5
EU funding (EUR): 21532.0
Participants: 3
Project status: CLOSED

The project envisages the provision of high quality innovation management capacity assessment and support services to SMEs in Cyprus aiming at the enhancement of competitiveness, smart growth and profitability of SMEs. Moreover, the project aims at creating a better understanding of the fundamental principles of innovation management and their better integration in the value chain of local SMEs. The services will be provided by the Research Promotion Foundation (RPF), Coordinator of the Enterprise Europe Network-Cyprus (EEN-Cy) and will be integrated by EEN-Cy services. RPF has already provided relevant services through preceding projects funded by EC (KAM2CY, KAM2CY2 & ΚΑΜ2CΥ3). The project targets two groups of SMEs with a separate package of services, as described below: (a) Provision of Key Account Management (KAM) services to SME-beneficiaries of H2020 SME Instrument, FET-Open & FTI: - identify weaknesses in innovation capacities of beneficiaries hindering the realisation of growth opportunities and full commercial potential; - identify coaching needs based on a pre-defined matrix (made available by EASME); - identify suitable coaches to address the identified weaknesses; - moderate the coach-client relationship; - in the case of SME Instrument beneficiaries, accompany the beneficiaries through their projects. (b) Provision of services for Enhancing Innovation Management Capacity (EIMC) to promising SMEs with potential for growth via innovation: - diagnostic audit/ assessment of their innovation management; - root/ cause analysis of the results; - development of an action plan; - assistance of the SME in action plan monitoring and implementation. The project foresees the provision of 3 KAM and 5 EIMC service packages. The average duration of each service package provision will be 3-4 days for KAM Services and 10 days for EIMC Services.

Keywords: enhancing,innovation,management,capacity,eimc,imp3rove,innovation benchmarking,coaching,sme instrument,fet open,h2020,kam2cy,growth,competitiveness,cyprus,bsc cy
Acoustic Atlas: Cultivating the Capacity to Listen (ACOUSTIC ATLAS)

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: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-09-01
End date: 2022-08-31
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

‘Acoustic Atlas’ aims to advance world acoustical awareness through the creation of a novel application of web-audio technology as a ubiquitous site of ‘listening,’ and it starts its journey by digitally preserving the acoustical heritage and soundscapes of Yordas Cave, Victoria Cave and Ingleborough Cave in the UK Yorkshire Dales. The main action is the creation of a series of novel listening experiences that are connected to each studied cave, intended for the cultivation of the capacity to listen to and connect with, remote heritage sites. Participation is fundamental to the user experience. Auralisations, which can be thought of as real-time virtual acoustic reality experiences, transport the listener by allowing them to hear the reflections of their own voices in these virtual caves, providing a direct sensory, aural perspective. The fellowship will allow the researcher to complete professional training in areas fundamental to the execution of the project as well as key academic skills, including virtual acoustics, binaural audio recording, JavaScript, Webaudio programming, project management, dissemination strategies and lecturing. The host institution will benefit from the fellow’s experience in sound design, composition and sound art projects via lectures, collaborations and exchanges with students, colleagues and relevant research centres. The outputs will include a novel real-time auralisation application, 3 journal papers, 5 symposia presentations, 4 concerts and a sound art series. The auditory experiences provided through ‘Acoustic Atlas’ are key to nourishing, refining and expanding our ability to listen. Moreover, ‘Acoustic Atlas’ advances the study of acoustic ecology in Europe by exploring creative methods for dissemination as well as providing the starting point for long-lasting collaborative networks in the field of acoustic preservation.

Keywords: virtual reality,augmented reality,audio communication,acoustics,acoustic heritage,world heritage,applied acoustics,music,auralization,sound,sound ecology,reverberation,impulse responses
Printable polypeptide hydrogels with antimicrobial properties (GelPrint)

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: Chemistry
Countries involved: Ireland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-04-01
End date: 2022-03-31
Duration (months): 24.0
Total project cost (EUR): 184590.72
EU funding (EUR): 184590.72
Participants: 1
Project status: CLOSED

Biomaterials with antimicrobial properties which can be used for wound healing and tissue engineering applications offer high application potential due to the global increase of antimicrobial resistance. While polypeptides own this potential, their integration into a materials platform has not been realised to date. The overall objective of this project is to develop 3D printable antimicrobial or bacteriostatic polypeptide hydrogel materials, which can be employed in tissue regeneration applications to prevent bacterial growth. In particular, the goals include synthesis of sets of cross-linked polypeptide hydrogels based on lysine (Lys) and investigation of their hydrogel properties and 3D printability. Moreover, evaluation, validation and quantification of the antimicrobial properties of the hydrogels as well as the proof of concept demonstration for their feasibility in tissue regeneration will be addressed. The synthesis of these particular copolypeptides hydrogels is highly novel and their exploitation as a printable tissue regenerating platform is timely, of high fundamental as well as clinical impact and considered a new approach. The proposed project is broadly interdisciplinary, as disciplines of polymer chemistry, biomaterials science and engineering, microbiology and in vitro assessment techniques will be combined. The high-level science combined with complementary training will significantly advance the career opportunities of the applicant. Moreover, the excellent match of the applicant`s expertise with the project and the host organisation will ensure a strong transfer of knowledge between all participants. The potential of the proposed project is further highlighted by the possible commercial exploitation of the scientific findings and developments. Finally, it will enable new collaboration opportunities between research groups from different scientific fields.

Keywords: polypeptides,antimicrobial hydrogels,3d printing,tissue regeneration
Tools for cOntinuous building Performance Auditing (TOPAs)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Sustainable, resource-efficient and low-carbon technologies in energy-intensive process industries
Action type: Innovation actions
Countries involved: Germany,Ireland,Ireland,Germany,Israel,France,France,France
Call: New tools and methodologies to reduce the gap between predicted and actual energy performances at the level of buildings and blocks of buildings (H2020-EeB-2015, 2015)
Start date: 2015-11-01
End date: 2018-10-31
Duration (months): 36.0
Total project cost (EUR): 6139296.25
EU funding (EUR): 5085945.63
Participants: 9
Project status: CLOSED

As occupant behaviour can be considered as one of the main drivers of the performance gap, TOPAs will focus on reducing the gap from an operational perspective, hence supporting Post Occupancy Evaluation. Quantifying the performance gap is non-trivial, the performance gap is dependent on time and contextual factors, and individual buildings will have a particular performance gap. The delivery of energy efficiency projects through energy performance contracts and ESCOs is widely seen as a way of addressing sub-optimal post installation performance of energy efficiency technologies. Since this model is very attractive from many perspectives and is identified as a central route to delivery of energy efficiency gains in the EPBD, methods and models for the accurate measurement and verification of energy savings are essential to the growth of the ESCO market. The energy audit process is generally done for a fixed duration at a specific point in time. A key outcome is the identification and root cause analysis of energy inefficiencies and as a result a plan is put in place to minimise these inefficiencies. This can be very effective at reducing energy consumption in a building. However, from an implementation perspective, it can be difficult to identify all issues (in some cases conflicting system level goals) and the persistence of savings can be poor and as a consequence inefficiencies re-appear. Continuous energy auditing takes this one-off process and makes it a constant rolling cycle where a detailed overview of the building performance is consistently available making it possible to refine the energy management plan. TOPAs adopts the principle of continuous performance auditing and considers not only energy use but also an understanding of how buildings are used and their climatic state, thus providing a holistic performance audit process through supporting tools and methodologies that minimise the gap between predicted and actual energy use.

Keywords: tools for energy auditing,continuous building performance,fault detection and diagnosis,occupancy modelling,distributed model predictive control
Temperatures, ash and soil hydrology: predicting fire impact from plant traits (Ko-Tsah-To)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Netherlands
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-09-01
End date: 2018-08-31
Duration (months): 24.0
Total project cost (EUR): 177598.8
EU funding (EUR): 177598.8
Participants: 1
Project status: CLOSED

Climate change increases the frequency and intensity of vegetation fires around the world. Fire can considerably increase the landscape’s vulnerability to flooding and erosion, which is in part caused by fire-induced soil damage and hydrological changes. While it is known that plants can alter the fire environment, there is a major knowledge gap regarding the fundamental mechanisms by which vegetation mediates fire impact on soil physics and hydrology. I will address this gap by considering for the first time the cascading effects of plants on fire and soil hydrology, focusing on two important factors in post-fire hydrology: soil heating and ash. My hypothesis is that plant structural and chemical traits vary within the landscape and control fire impact on soil physical properties by affecting heat and ash production. I will test this hypothesis with a combination of spatial sampling, lab experiments and modeling, using contrasting plant species and soils from watersheds in Portugal and the USA. Multiple regression and principal component analysis will be used to relate fire impacts to the various plant traits. This project can help predict and mitigate fire risk and impact across landscapes, facilitate development of risk maps, and generate knowledge with implications for nature conservation, land use planning, fire management and potential policy making. Aside from helping safeguard soil and (drinking) water resources, the project can also change a European braindrain into a braingain, supporting reintegration of a successful interdisciplinary scientist and her large network after three years in the USA. Additional benefits for Europe include transfer of knowledge gained in the USA and knowledge exchange from southern to northern member states. Through training and research, this project will enhance my success of getting a permanent position in academia and create new opportunities to incorporate hydrology and scale in above-belowground interaction research.

Keywords: fire,soil,water,plant traits,spatial scales
Centre of Excellence in Production Informatics and Control (EPIC)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Specific Grant agreement
Countries involved: Austria,Germany,Hungary
Call: Teaming Phase 2 (H2020-WIDESPREAD-01-2016-2017-TeamingPhase2, 2016)
Start date: 2017-04-01
End date: 2024-09-30
Duration (months): 90.0
Total project cost (EUR): 10876825.0
EU funding (EUR): 10876825.0
Participants: 6
Project status: SIGNED

The objective of the proposal is to establish the Centre of Excellence in Production Informatics and Control (EPIC CoE) as a leading, internationally acknowledged focus point in the field of cyber-physical production systems representing excellence in RDI. The focus is devised both from world-wide tendencies and regional S3 strategies. EPIC CoE will be constituted and run through the cooperation of the Institute for Computer Science and Control, Hungarian Academy of Sciences (MTA SZTAKI), two faculties of the Budapest University of Technology and Economics (BME) and four institutions of the Fraunhofer Gesellschaft (FhG) under the coordination of the National Research, Development and Innovation Office (NKFIH), as a governmental actor. The EPIC project will lead to: 1. The upgrade of MTA SZTAKI as existing Centre of Excellence (CoE) of the EU. 2. The establishment of a new legal entity (EPIC Ltd) of the academic partners relying on the very positive experiences gained by the Fraunhofer-SZTAKI Project Centre for Production Management and Informatics (PMI), a joint initiative of FhG and the Hungarian Academy of Sciences (MTA), started in 2010. (The cooperating FhG institutions have been the FhG IPA and Fraunhofer Austria). 3. The extension of the FhG-SZTAKI cooperation with two faculties of BME, and with FhG IPT and the FhG IPK. 4. The close cooperation of academia, university and industry, with a special emphasis on SMEs. Due to direct, institutionalized interactions with FhG, not only the scientific capabilities of the Hungarian partners but also their ability to transfer scientific results to industry-relevant applications will be enhanced, and in a sustainable way, providing a “high speed lift” to innovation culture and performance in Hungary and the CEE region. The large expectations towards the EPIC CoE are manifested by 42 Letters of Support received from industrial companies and clusters.

Keywords: innovation,cyber physical production systems cpps,scientific excellence,technology transfer,customer centred value creation,regional cpps ecosystem