Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
CREATIONS - Developing an Engaging Science Classroom (CREATIONS)

Framework: Horizon 2020 — Science with and for Society
Programme: Make scientific and technological careers attractive to young students, and forster sustainable interaction between schools, research institutions, industry and civil society organisations
Action type: Coordination and support actions
Countries involved: Spain,Germany,Germany,Malta,Norway,Finland,Greece,Greece,Sweden,Serbia,Switzerland,France,United Kingdom,United Kingdom,United Kingdom
Call: Innovative ways to make science education and scientific careers attractive to young people (H2020-SEAC-2014-1, 2014)
Start date: 2015-10-01
End date: 2018-11-30
Duration (months): 38.0
Total project cost (EUR): 1797687.5
EU funding (EUR): 1797687.5
Participants: 18
Project status: CLOSED

The CREATIONS coordination action aims to demonstrate innovative approaches and activities that involve teachers and students in Scientific Research through creative ways that are based on Art and focus on the development of effective links and synergies between schools and research infrastructures in order to spark young people’s interest in science and in following scientific careers. It aims to support policy development by a) demonstrating effective community building between researchers, teachers and students and empowering the latter to use, share and exploit in an innovative the collective power of unique scientific resources (research facilities, scientific instruments, advanced ICT tools, simulation and visualisation applications and scientific databases) in meaningful educational activities that build on the strengths of formal (educational field trips, virtual visits, school based masterclasses) and informal (games and student generated apps, webfests and hangouts, related artworks like science theatre or student generated exhibits, debates in the framework of junior science cafes) learning, that promote creative inquiry-based learning and appreciation of how science works, b) demonstrating effective integration of science education with infrastructures through monitored-for-impact innovative activities, which will provide feedback for the take-up of such interventions at large scale in Europe and c) documenting the whole process through the development of a roadmap that will include guidelines for the design and implementation of innovative educational and outreach activities that could act as a reference to be adapted for stakeholders in both scientific research outreach and science education policy.

Keywords: creativitiy,scientific culture
Media Warfare and the Discourse of Islamic Revival: The Case of the Islamic State (IS) (MWDIR)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-02-01
End date: 2019-01-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

This proposal seeks to better our understanding of how Islamist movements use Social Media to reinforce their discourses, ideologies and thoughts during times of conflict, i.e. ideological levels of struggle. In brief, this study takes as its mission the task of unravelling patterns of rhetorical propaganda employed by the Islamic State (IS) and how this movement attracts individuals from all over the world and influences security in Europe and the world. There are two overlapping discourses which dialectically feed into each other: those of religious revival and political emancipation. By means of these discourses, IS reworks foundational myths and traditional religious symbols to appropriate an imagined past in a highly charged political and conflict-ridden context as a part of the solution to its beleaguered spirituality. This proposal suggests employing interdisciplinary methods: critical discourse analysis (CDA), Corpus Linguistics, visual content analysis and multi-modal analysis. This aims to examine discourse, content and visual frames. The sample is supposed to include all YouTube video clips published by IS and the commentaries associated with these clips in English and Arabic. The importance of this project lies in understanding the socio-political and cultural-religious dimensions of the conflict and the ensemble of discourses that frame Islamic fundamentalism in general, and IS in particular, as well as how IS persuades recruits from the EU and worldwide. This project is significant in opening a new academic career path for me and in giving me an opportunity to apply for professorship/senior lecturer and chair positions in media and communication, sociolinguistics and discourse of Islamist movements in future.

Keywords: critical discourse analysis,social media,the islamic state,visual content analysis
DeepNOE: Leveraging deep learning for protein structure solving at ultra-high resolution on the basis of NMR measurements with exact nuclear Overhauser enhancement (DeepNOE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Switzerland
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-03-01
End date: 2022-02-28
Duration (months): 24.0
Total project cost (EUR): 191149.44
EU funding (EUR): 191149.44
Participants: 1
Project status: CLOSED

Nuclear Magnetic Resonance (NMR) spectroscopy is one of the leading techniques for protein structure analysis. In contrast to other methods, NMR spectroscopy allows the measurement of the dynamics and structure of a protein under nearly physiological conditions, without the need for crystallization or freezing of a sample. Recent studies on exact Nuclear Overhauser enhancements (eNOEs), carried out in the laboratory of the host professor, have enabled distance measurements in proteins by NMR with accuracy of 0.1 Å. This allows to determine structures in solution and in living cells with unprecedented resolution. This biophysical achievement creates an outstanding opportunity for a computer scientist (the fellow candidate) to develop the first-of-its-kind model/algorithm that automatically transforms raw NMR measurements into high-resolution protein structures that reveal multiple simultaneously populated conformational states in atomic detail. This problem will be tackled with the use of deep learning (DL), a novel field in machine learning that has emerged after 2010 and has revolutionized data science and artificial intelligence. The project is divided into 3 parts. First, it is planned to investigate recent advances in DL to derive a model that extracts visual information from 2D and 3D NMR spectra. Afterwards, the proposed model will be integrated into CYANA to formulate a hierarchical DL/optimization routine, which automates all steps of protein structure solving. Finally, it is planned to explore the possibility of calculating protein structures directly from NOESY spectra, which constitutes a new protocol for protein structure solving by NMR spectroscopy. Summing up, the proposed DL approach has the potential to reduce the time required to solve proteins with NMR from months/years to days, while delivering very high resolution, multi-state structures. We expect this project to open new avenues in structural biology and drug discovery.

Keywords: protein structure solving,machine learning,deep learning
Designing Resonant Frames: How to Effectively Communicate about the Rights and Inclusion of Immigrants and Refugees? (RESONATE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy,United States
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-15
End date: 2025-01-14
Duration (months): 36.0
Total project cost (EUR): 269002.56
EU funding (EUR): 269002.56
Participants: 2
Project status: SIGNED

Immigrant and refugee rights movements (IRRM) have lately shown success in providing temporary assistance and integration programs in numerous countries. However, they have mostly failed to respond to the societal backlash against immigrants and refugees. How can IRRMs communicate with societies better, alter hostile public opinion and promote rights for noncitizens? Through the case of Turkey, the largest refugee-hosting country, RESONATE aims to offer novel analytical and methodological approaches to empower IRRMs with resilient tools. It has three specific objectives. First, it will map the capacities and communicative strategies of the IRRM in Turkey through systematic network analysis. Second, by conducting a representative survey, it will identify ‘resonant frames’ with the public ensconced in core values and human rights. Finally, it will test the effects of these resonant frames in transforming public attitudes through field experiments with subjects recruited through social media. RESONATE has an innovative and solution-oriented approach and combines cutting-edge research methods with insights from sociology, cultural and communication studies and political science. Public opinion data collected on noncitizens in many countries mostly report negative attitudes. Such data are often exploited to entrench stigmatizing views as ‘facts’. RESONATE seeks original data collection and findings that could empower vulnerable groups. By revealing potent and resonant frames, it also aims to entrench democratic and rights-based movements engaged in boundary and identity re-making on highly polarizing issues. Findings will boost IRRM’s mobilizational capacity in Turkey and provide hints for other movements in Europe by identifying vital ways to challenge sedimented racializing and marginalizing frames. RESONATE will be hosted by the University of Venice and Northwestern University and offer collaborative outcomes beneficial to all parties.

Keywords: social movements,turkey,refugees,immigration,survey,public opinion,online field experiments,case study,social integration,exclusion,inequalities,competitive authoritarianism
Digestion, OsmoreGulation and Metabolism in fish relevant to AquaculTure and in a Changing Climate (DOGMATiCC)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-10-01
End date: 2022-09-30
Duration (months): 36.0
Total project cost (EUR): 319400.64
EU funding (EUR): 319400.64
Participants: 1
Project status: CLOSED

Rapidly rising CO2 levels threaten aquatic organisms and global food security. It is vital to determine how high CO2 impacts fish in freshwater and marine environments and to elucidate mechanisms limiting performance in the wild and aquaculture. Here, I propose an integrative approach that simultaneously investigates multiple physiological processes to comprehensively evaluate the impacts of combined endogenous (i.e. feeding) and exogenous (i.e. salinity and CO2) factors on fish, and their essential capacity to maintain a constant internal environment (i.e. homeostasis). This will be achieved by investigating cardiovascular, metabolic and homeostatic responses of the economically important rainbow trout to feeding and exercise, in freshwater and seawater, following long-term acclimation to varying levels of CO2 (reflecting climate change and aquaculture scenarios). The project will have far-reaching impact, as it will not only improve predictions of the impacts of climate change on fish, but will also provide aquaculture industry with specific recommendations for achieving maximum growth efficiency and health of farmed fish. The expertise and unique skills I bring concerning in vivo cardiovascular physiology, will be combined with the entirely new and complementary repertoire of advanced skills I will learn from Prof. Wilson (i.e. 33 years experience investigating acid-base, ion and osmotic regulation in fish at levels from the gene to the whole animal) and our collaborators (i.e. mitochondrial bioenergetics analyses and aquaculture industry expertise). This will ensure the successful completion of this ambitious project, and outcomes that are much more than just the sum of their parts. This fellowship will benefit all involved, by ensuring collaboration and knowledge transfer between three European universities, bridging the gap between fundamental science and aquaculture, and providing me with a scientific ‘toolbox’ few researchers currently possess.

Keywords: ocean acidification,ecophysiology,metabolism,cardiovascular function,digestion,osmoregulation,homeostasis,gastrointestinal function,teleosts,fish,euryhaline,whole animal performance
Agent-based Computational Economics for Policy Analysis (ACEPOL)

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: Economic Sciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-03-01
End date: 2021-02-28
Duration (months): 24.0
Total project cost (EUR): 173076.0
EU funding (EUR): 173076.0
Participants: 2
Project status: CLOSED

The recent economic crisis has also been a crisis for economic theory. Hence, the economic profession started to debate and prepare a methodological reconsideration about the general role of economic models; new modeling strategies, alternative and complementary to the standard Dynamic Stochastic General Equilibrium (DSGE) models, have therefore emerged. Among these innovative approaches, Agent-based Computational Economics (ACE) started to occupy a prominent role. However, ACE models still need to be improved in three main directions before being ready to be employed as a standard policy tool adopted by central banks. These three directions are: (i) calibration, (ii) external validation, (iii) formal evaluation of systemic risk. This fellowship aims at directly tackling these three issues by employing new statistical learning, econometric, and algorithmic techniques and by applying them to an ACE model that enables one to analyze private and public debt dynamics by closely following the financial and real sectors at the micro-level. The research plan here proposed aims at developing a calibrated and validated model able to explain how the rise in private debt and the interconnectedness of financial institutions might lead to financial crisis, which then might spread to the real sector and ask for a massive public sector intervention, possibly generating also public debt overhangs. Additionally, the innovativeness in the methods here employed will allow to establish higher standards for the development of descriptive ACE models. Once these model are properly and rigosously calibrated and validated by means of real-world datasets indeed, they can be adopted to evaluate a set of counterfactual policy exercises. In particular we aim at understanding which ex-ante policy measures might help avoiding debt-triggered crises and which ex-post policy interventions might help in mitigating their negative effects.

Keywords: agent based macroeconomics,public debt,private debt,calibration,validation
Robust and reliable general management tool for performance and dUraBility improvement of fuel cell stationarY units (RUBY)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Public-private partnerships
Destination: Fuel Cells and Hydrogen
Action type: Research and Innovation actions
Partnership: FCH2 (Art-187)
Countries involved: Italy,Germany,Italy,Germany,Italy,Switzerland,Finland,Slovenia,France,France,Denmark
Call: Enhancement of durability and reliability of stationary PEM and SOFC systems by implementation and integration of advanced diagnostic and control tools (H2020-JTI-FCH-2019-1, 2019)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 2999715.0
EU funding (EUR): 2999715.0
Participants: 13
Project status: SIGNED

RUBY aims at developing and implementing a tool able to perform integrated Monitoring, Diagnostic, Prognostic and Control functions for production μ-CHP and Backup (BUP) systems, based on SOFC and PEMFC. The proposal is the final step toward the production, installation and commercialization of stationary FCSs with new management functions that will enhance system lifetime, stack durability, availability, reliability and overall performance with improved efficiency. These enhancements will lead to TCO reduction, paving the way toward advanced maintenance service implementation, less cost and increased warranty periods, leading to a better customer satisfaction. RUBY leverages the findings of the last 8 years applied research that contributed to move the FC technologies towards the same maturity of market-available conventional energy conversion technologies. The key-feature of RUBY tool is the Electrochemical Impedance Spectroscopy (EIS)-based advanced monitoring of both SOFC and PEMFC stacks, which has been demonstrated viable for its implementation on FCSs. RUBY will finalize the work on the hardware integration with stack diagnostic and control algorithms as well as with fault detection algorithms for BOP. Then, condition monitoring algorithms will be built along with prognostic and advanced adaptive control functions. The holistic vision of the FCS and a thorough knowledge of the State of the Health will be used to evaluate the lifetime of FCS components for improved supervisory control. Artificial Intelligence-based algorithms will be exploited to elaborate grid and FCS data toward the development of control functions for perspective VPP management and future integration with smart-grid. One-year tests will be conducted in real environment for certified μ-CHP and for BUP installed in a controlled real field to concentrate long-term operations in a shorter timeframe. The tool’s components will begin with TRL5/6 and end with TRL8 for μ-CHP and TRL7 for BUP.

Keywords: fuel cells,micro chp,backup,monitoring,diagnostics,prognostics,control
Fabrication & characterisation of protective HEA films on Mg substrate by mechanical alloying, cold spraying & post-surface laser annealing processing (HEAfilmonMg)

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: Ireland
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-11-01
End date: 2023-10-31
Duration (months): 24.0
Total project cost (EUR): 196590.72
EU funding (EUR): 196590.72
Participants: 1
Project status: SIGNED

Protective high entropy alloys (HEA) thin films/coatings on Mg substrate will be produced by mechanical alloying (MA), cold spraying (CS) and post-surface laser annealing (SLA) process. By using variable but controlled MA process and CS coating parameters (HEA feedstock powder & HEA MAed powder characteristics, CS technology geometric parameters, CS deposition parameters), variations in the micro-structure and property in HEA coatings will be attained. Microstructural characterization of HEA feedstock powders, MAed powders, CS coatings and CS+post-SLA coatings will be carried out by SEM, TEM, XRD, porosity measurements. Wear, oxidation, corrosion tests, hardness and elongation measurements will be made to determine chemical and mechanical properties of coatings. With this way relationships among deposition parameters-microstructure-properties will be determined in addition to the feasibility study of producing protective (wear and oxidation resistant) HEA coatings on Mg-parts by combined MA+CS & post- SLA process.

Keywords: hea film on mg parts,mechanical alloying,cold spray,laser surface annealing,materials characterization
REGional INNOVation mananagement support in Eastern France (REGINNOVE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: France,France
Call: INNOSUP (H2020-Adhoc-2014-20, 2014)
Start date: 2014-06-01
End date: 2014-12-31
Duration (months): 7.0
Total project cost (EUR): 86250.0
EU funding (EUR): 69000.0
Participants: 6
Project status: CLOSED

Providing Enhancing innovation management capacity services to high potential SMEs and Key account management services to beneficiaries of the SME Instrument in the 5 regions of Eastern France through additional services of the Enterprise Europe Network REGIE consortium.

Keywords: innovation management,sme instrument,key account management,enhancing capacity
Aneurysmal Arterial Mechanics: Into the Structure (AArteMIS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: France,France,France,France
Call: ERC Starting Grant (ERC-2014-STG, 2014)
Start date: 2015-04-01
End date: 2020-10-31
Duration (months): 67.0
Total project cost (EUR): 1499783.0
EU funding (EUR): 1377033.76
Participants: 5
Project status: CLOSED

The rupture of an Aortic Aneurysm (AA), which is often lethal, is a mechanical phenomenon that occurs when the wall stress state exceeds the local strength of the tissue. Our current understanding of arterial rupture mechanisms is poor, and the physics taking place at the microscopic scale in these collagenous structures remains an open area of research. Understanding, modelling, and quantifying the micro-mechanisms which drive the mechanical response of such tissue and locally trigger rupture represents the most challenging and promising pathway towards predictive diagnosis and personalized care of AA. The PI's group was recently able to detect, in advance, at the macro-scale, rupture-prone areas in bulging arterial tissues. The next step is to get into the details of the arterial microstructure to elucidate the underlying mechanisms. Through the achievements of AArteMIS, the local mechanical state of the fibrous microstructure of the tissue, especially close to its rupture state, will be quantitatively analyzed from multi-photon confocal microscopy and numerically reconstructed to establish quantitative micro-scale rupture criteria. AArteMIS will also address developing micro-macro models which are based on the collected quantitative data. The entire project will be completed through collaboration with medical doctors and engineers, experts in all required fields for the success of AArteMIS. AArteMIS is expected to open longed-for pathways for research in soft tissue mechanobiology which focuses on cell environment and to enable essential clinical applications for the quantitative assessment of AA rupture risk. It will significantly contribute to understanding fatal vascular events and improving cardiovascular treatments. It will provide a tremendous source of data and inspiration for subsequent applications and research by answering the most fundamental questions on AA rupture behaviour enabling ground-breaking clinical changes to take place.

Keywords: biomechanics,aneurysm,microstructure analysis,rupture criteria,numerical reconstruction,multiscale modeling