Data-Gouv-ML/pcri-actions-marie-curie-participations-et-projets-laureats huggingface dataset:
Projet NLRN20142015 (Horizon 2020, appel à projets 2014)
Action : European Researchers' Night
Statut du projet : CLOSED

- Discovery Festival will have its 10th anniversary in 2015, just like European Researchers’ Night. - Discovery Festival has been our Dutch edition of European Researchers’ Night (ERN) since 2006. - We combine new science and young scientists with a high quality young art program and top notch nightlife activities - Thereby we reach the important and difficult target group of young trend setting adults. - We experiment with new ways of communicating science and share our experiences, thus contributing to continuous progress in science communication. - To reach a large broad public, more traditional activities are needed. - In this project, to maximize impact, we will build a framework of diverse new initiatives and existing events, under a new national brand: Netherlands Researchers’ Night. - We use Discovery Festival as a core of continuous innovation. - The shared framework ensures that events will work to adhere to EU quality criteria, that resources are spent effectively and that experiences are shared structurally. - Through substantial support for these events from other parties, the impact of an EU contribution will be multiplied. - We thereby unite a number of separate initiatives under one brand with a strong European dimension. - Discovery Festival 2014 will be the starting point of this process, Netherlands Researchers’ Night 2015 (of which Discovery Festival 2015 will be a part) the first result. - Discovery Festival 2014 will welcome 5.000 visitors in Amsterdam and reach around 2 million people through the awareness campaign. - Netherlands Researchers’ Night will welcome 15.000 visitors on 4 locations, of which 5000 at Discovery Festival 2015, and around 5 million people through the awareness campaign.

Mots clés : science experiment art music nightlife innovative trendsetting upscaling centralizing quality

Participants :
- Stichting very disco (Pays-Bas) — Coordinator, beneficiary, Autres, subvention : 305000.0 €
Projet WHITEMAG (Horizon 2020, appel à projets 2019)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : CLOSED

2D magnetic materials have attracted enormous interest over the last years because of their potential towards miniaturization of novel low-power and memory storage technologies. Isostructural and isoelectronic to graphene, an atomically-thin layer of hexagonal boron nitride (hBN) is electrically insulating, and one of the most prominent 2D materials because of its superior mechanical, thermal and especially chemical properties. Inducing magnetic properties (together with reducing the size of the bandgap) will allow the realization of full potential of hBN nanostructures in functional applications. In this line, the efforts reported to date lack characterization and control of the sample’s properties at the atomic level, which is crucial to achieve a comprehensive understanding of the physical phenomena driving the emergence of magnetic properties. WHITEMAG aims to create routes for controlled magnetic functionalization of hBN in order to induce and exploit emerging electronic and magnetic properties at the atomic scale. hBN will be precisely modified by exploring novel defect engineering methods to introduce substitutional magnetic atoms, and subsequently by designing hybrid nanoarchitectures that combine hBN with magnetic organic molecules. The structural, electronic and magnetic properties of these systems will be studied by STM/STS, XPS/ARPES, nc-AFM and XMCD, giving a complete picture of the phenomena occurring at the atomistic level. The synthesis and characterization experiments will be addressed based on a surface science approach, involving controlled dosing of molecular and atomic species on well-defined surfaces under ultra-high vacuum (UHV) conditions. If successful, the outcomes of this work will push forward the microscopic understanding of magnetic phenomena in low-dimensional systems, and will open new promising perspectives for the implementation of hBN-based nanostructures in future spintronics and molecular electronics applications.

Mots clés : 2d magnetic materials, hexagonal boron nitride  hbn, scanning tunneling microscopy, defect engineering, metallo phthalocyanines and porphyrines, magnetic properties and functionalities, kondo physics

Participants :
- Technical University of Munich (Allemagne) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 162806.4 €
Projet 3DIS-NN (Horizon 2020, appel à projets 2020)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : CLOSED

3D (3-dimensional) Image Synthesis (3DIS) is a technology to render objects from different views which enables numerous applications in computer graphics and computer vision. As the digital world is becoming more crucial especially in the times of pandemic, 3DIS can provide tools for online classes, virtual social tours, improved gaming experience and simulators for robotics by providing realistic virtual 3D environments. Furthermore, 3DIS by disentangling the attributes of objects and entangling them via a renderer for synthesize, can provide a technology to learn useful features from our visual world that can be used for video understanding, one of the biggest goals of artificial intelligence. Here, I propose 3DIS-NN, a set of methods to improve the quality of 3DIS with deep neural networks (DNNs), and bring it close to the production quality, which will contribute to the European Union’s Future and Emerging Technology ambitions of Horizon Europe. Learning 3DIS from 2D images with deep learning is a challenging topic due to its inherent ambiguity. 3DIS-NN will enable high-quality 3DIS results by i) creating a dataset with weak labels to feed the data-hungry DNNs for better accuracy, ii) improving robustness of 3D geometry and texture prediction from images, iii) handling the impurities in segmentation of objects with a novel design of architecture, and iv) providing a tool to further close the domain gap in renderers and real images. This interdisciplinary proposal which is at the intersection of deep learning and computer graphics will be carried out at under the supervision of Prof. Ugur Gudukbay who is an expert in computer graphics. In terms of career developments, this proposal will consolidate and accelerate my career on the international landscape scene as a pioneer lead authority in the new cross-disciplinary area of “deep learning & computer graphics”.

Mots clés : learning 3d rendering from 2d images

Participants :
- Bilkent University (Turquie) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 145355.52 €
Projet OPT-PCC (Horizon 2020, appel à projets 2018)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : CLOSED

3D point clouds are receiving increased attention due to their potential for many important applications, such as real-time 3D immersive telepresence. Compared to traditional video technology, 3D point cloud systems allow free viewpoint rendering, as well as mixing of natural and synthetic objects. However, this improved user experience comes at the cost of increased storage and bandwidth requirements as point clouds are typically represented by the geometry and colour of millions up to billions of 3D points. For this reason, major efforts are being made to develop efficient point cloud compression schemes. The task, however, is very challenging due to the irregular structure of point clouds. To standardize these efforts, the Moving Picture Experts Group (MPEG) launched in January 2017 a call for proposals for 3D point cloud compression technology. In October 2017, the responses were evaluated and the first test model for lossy compression of dynamic point clouds (TMC2) was established. This test model defines a first “common core” algorithm for collaborative work towards the final standard. The aim of OPT-PCC is to contribute to these efforts by developing algorithms that optimize the rate-distortion performance of the test model. OPT-PCC’s objectives are to: 1. O1: build analytical models that accurately describe the effect of the geometry and colour quantization of a 3D point cloud on the bit rate and distortion; 2. O2: develop fast search algorithms that optimize the allocation of the available bit budget between the geometry information and colour information; 3. O3: implement a compression scheme for dynamic 3D point clouds that outperforms the state-of-the-art in terms of rate-distortion performance. The target is to reduce the bit rate by at least 20% for the same reconstruction quality; 4. O4: provide multi-disciplinary training to the researcher in algorithm design, metaheuristic optimisation, computer graphics, and leadership and management skills.

Mots clés : point clouds, video compression, rate distortion optimization

Participants :
- De Montfort University (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 112466.88 €
Projet MagnetoPrint (Horizon 2020, appel à projets 2020)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : SIGNED

3D printing (3DP) technology plays a pivotal role in the biofabrication of engineered tissues which are useful towards several clinical, diagnostic and research applications. Of the different 3DP approaches, extrusion bioprinting (EBp) is the most widely used, for it is cost effective and allows rapid fabrication of physiological scale tissues with controlled placement of different types of encapsulated cells and biomaterials. However, the poor resolution (> 200 µm) of most EBp approaches limits the topographical cues necessary to impart anisotropic cell (avg. ϕ = 20 µm) and extracellular matrix organization within the tissues. Moreover, most tissue engineering approaches do not meet the nutritional requirements of the cells within thick tissues, and utilize static cultures which do not recapitulate the physiological growth conditions. Due to these reasons, the engineered tissues fail to biomimic native tissue properties. The proposed MagnetoPrint process aims to achieve biomimicry via a synergy of chemistry, biology, electromechanical systems design, structural mechanics and multiphysics modeling. First, cell-laden hydrogels are synthesized which could be sized into microstrands (avg. ϕ = 40 µm) during printing, that could impart the relevant anisotropic characteristics. Second, ferromagnetic particles are incorporated within distinct compartments inside the hydrogels to facilitate the deformation of printed tissue in the presence of external magnetic fields. Control of the domain orientations of the magnetic particles is used to impart auxetic properties, to further support nutrient transport and tissue maturation, which is also verified by computational modeling. Third, a complex muscle/tendon interface is printed and matured under the relevant exercising conditions to demonstrate the effectiveness of the project. The process, with its unprecedented features, represents significant progress in the advanced scalable manufacturing of biomimetic engineered tissues.

Mots clés : 3d printing, 3d bioprinting, hydrogels, metamaterials, tissue engineering, auxetic structures, negative poisson s ratio, muscle, tendon, electromagnetics, finite element analysis, comsol multiphysics

Participants :
- Board of the Swiss Federal Institutes of Technology (Suisse) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 203149.44 €
Projet ITS A DIVE (Horizon 2020, appel à projets 2017)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : CLOSED

3D spatial auditory displays can provide accurate information about the relation between the sound source and the surrounding environment, including the listener and his/her body which acts as an additional filter.This information cannot be substituted by any other modality (e.g. visual or tactile). Nevertheless, today's spatial representation of audio tends to be simplistic, being multimodal systems currently integrated with simple stereo or surround sound. In IT'S A DIVE extremely innovative techniques for binaural sound rendering will be developed, following a multidisciplinary approach encompassing different research areas such as computer science, acoustics, and psychology. The focus of the research program will be on structural modeling of head-related transfer functions (HRTFs), i.e. a family of state-of-the-art modeling techniques that overcome the current limitations of headphone-based 3D audio systems. The customization of the HRTF model based on the user's anthropometry will grant to any user a low-cost and real-time fruition of realistic individual 3D audio, previously only possible with expensive equipment and invasive recording procedures. The main objective of the research program will be the definition and experimental validation (through subjective psychophysical tests) of a completely customizable structural model for binaural sound presentation, which is today still missing in the literature on spatial audio. The technical focus will be on the exploitation of a vast number of public HRTF databases, including custom controlled acoustical measurements, and of state-of-the-art machine learning techniques in order to customize HRTFs by incorporating prior knowledge on the relation between HRTF features and anthropometry. The research program is expected to represent an innovative breakthrough for a plethora of applications, e.g. personal cinema, teleconferencing and teleoperation systems, electronic travel aids, and computer games.

Mots clés : spatial sound

Participants :
- Aalborg University (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 200194.8 €
Projet 5G-ACE (Horizon 2020, appel à projets 2018)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Information Science and Engineering
Statut du projet : CLOSED

5G-ACE is engineered to be a two year Standard European Fellowship (EF) that aims to strengthen the ER (Experience Researcher)’s repository of scientific and transferable skills to place him in a strong position towards professional maturity, either at the host (University of South Wales) by targeting an “Academic Position by Research”, or as an independent researcher at leading international research centres and universities in Europe. The personalized training will identify key use cases and frequency bands for THz-based mobile communications, develop new 3D network models that take into account spatial coupling by re-examining legacy engineering tools such as stochastic geometry through interdisciplinary design, and involve practical experimentation that will be implemented as scheduled secondments at Nokia Bell Labs (Belgium), and Sigint Solutions Ltd (Cyprus). To complement the scientific training, the ER’s skill set will be enriched through a tailor-made Personal Career Development Plan (PCDP) that not only includes the core transferable skills (e.g, academic teaching, IPR management, research commercialization), but will identify other relevant complementary skills to provide a well-rounded research personality ready to embark on his 5G legacy and beyond.

Mots clés : stochastic geometry, 5g networks, network modelling, simulation methodologies, 3d network deployment

Participants :
- University of South Wales (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 224933.76 €
Projet GIRLPOS (Horizon 2020, appel à projets 2017)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : CLOSED

A Genealogy of Islamic Religious Leadership in Post-Ottoman States (GIRLPOS) This project will produce the first history of the 'Grand Mufti' as a modern model of Islamic religious leadership. This title emerged in several Arab states in the process of post-Ottoman nation-building, and represents a common trend toward the articulation of ‘religion’ as a social category distinct from the implicitly ‘non-religious’. Ottoman muftis had been legal scholars serving the courts and society at large, and muftis have been studied ever since through a classical lens of scholarly knowledge production. Yet the creation of new offices of ‘Grand Mufti’ in successor states has radically reformulated their function. For the first time in Islamic history, Middle Eastern states have generated centralised religious hierarchies in which a Grand Mufti administers a professionalised ‘clergy’ and a nationwide network of mosques, schools, cemeteries and other properties defined as religious. My contribution will be a genealogy of this contemporary model of Islamic religious leadership, using it as a lens through which to analyse changing discourses around ‘religion’ in modern Islam.

Mots clés : islamic studies, critical studies of religion, religious leadership

Participants :
- University of Oxford (Royaume-Uni) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 195454.8 €
Projet MAPS (Horizon 2020, appel à projets 2018)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : CLOSED

A Multifactorial Analysis of Possessive Structures: Mapping the Interaction of Language, Culture, and Cognition There is a general consensus in the linguistic community that language is embedded in its cognitive, social, and multimodal dimensions, but these dimensions are often studied in isolation. We propose a novel methodology of linguistic analysis that integrates these interacting dimensions and provide new data on severely under-described languages that are both essential to move beyond the gridlock of polemics in ongoing scientific debates. The MAPS project will not only extend the current knowledge on the interaction of language, culture, and cognition but will also address the urgent issues of preserving the linguistic and cultural heritage of indigenous communities. We precisely measure the impact of three societal factors (assimilation policies, gender, and contact pressure) on language, culture, and cognition within two indigenous linguistic groups: the North Sámi people of Norway, and the Paamese people of Vanuatu. The project will determine whether the three societal factors affect patterns of linguistic change and impact the way of thinking of the two indigenous communities to the extent of potentially redefining their social structure. MAPS embodies the EU’s commitment and values in improving the intercultural integration of both ‘old’ European indigenous minority communities and ‘new’ linguistic group minorities by putting the spotlight on the key role of language policy making and its socio-cognitive-linguistic effects.

Mots clés : cognitive semantics, language change, contact pressure, inalienable possession, multimodality, gesture analysis, indigenous studies

Participants :
- UiT The Arctic University of Norway (Norvège) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 214158.72 €
Projet TransparencyMeters (Horizon 2020, appel à projets 2017)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Social Sciences and Humanities
Statut du projet : CLOSED

A basic requirement in science is that published findings are sufficiently trustworthy. The current state-of-the-art strategy to assess the trustworthiness of findings involves meta-analyzing all known findings on a topic. Such strategy, however, is seriously flawed because it does not account for various forms of researcher biases that contaminate each study included in a meta-analysis. Consequently, it is currently not possible for researchers (and the public) to determine how much one should trust a published finding based on traditional meta-analyses. To address this problem, we propose here to develop 3 new meta-scientific instruments (or meters) to quantify the 3 most fundamental trustworthiness aspects of a study: method transparency, analytic robustness, and effect replicability. For each instrument, a corresponding metric (i.e., unit of measurement) will be developed to quantify the degree to which a published study exhibits method transparency, analytic robustness, and effect replicability. This will be achieved by applying the metrics to CurateScience.org, a web platform that tracks and quantifies the trustworthiness of studies in a crowdsourced, incremental fashion over time. These transparency instruments will revolutionize how meta-analyses are conducted, substantially improving the quality and validity of meta-analytic conclusions in all scientific fields. This will accelerate cumulative knowledge development and the exploitation of scientific findings to develop solutions to address Horizon’s 2020 societal challenges of European citizens. These new instruments will advance the field of meta-science, but also have the salutary effect of accelerating the uptake of open science practices among social science researchers. The proposed work is directly relevant to European policy objectives related to Open Science and Research Integrity to increase the openness, access to, and re-use of publicly-funded research and data.

Mots clés : research transparency, analytic robustness, replicability, research integrity, responsible research

Participants :
- KU Leuven (Belgique) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 160800.0 €
Projet TiMoleS (Horizon 2020, appel à projets 2018)
Action : Postdoctoral Fellowships - European Fellowships
Panel : Physics
Statut du projet : CLOSED

A chemical reaction is often an unsolved maze game: we know where it starts and ends, but the path followed is a question that remains. Time-resolved imaging of molecular dynamics, therefore, is of primary interest. To solve aforementioned, we miss a sub-Ångström spatial and sub-femtosecond temporal resolution imaging scheme that can probe both nuclei and electrons. In this project TiMoleS, I propose to lay the theoretical and conceptual groundwork for such an imaging tool that can monitor molecular reaction and accompanying electron dynamics. This will be done by letting the target molecule to image by itself via two coexisting strong field processes termed laser-induced electron diffraction and laser-induced electron holography. I intend to use these processes in a complementary way to image nuclear dynamics as well as the electron cloud evolution. Through well-organized work packages for rigorous theoretical and computational developments and by collaborating with specialists of the domain, I propose to surmount difficulties linked with these processes to realize ultrafast imaging. I will develop analytical models, numerical codes and optimal control schemes to come up with rather general imaging method for AB/AB2 molecules. It will give an excellent insight into photochemical reactions, various reaction pathways and control over reaction dynamics, like enhancing the desired reaction or even to prevent an undesired process. These control scheme developed for generalized probing of the dynamics will also accelerate our attempts to design ultrashort lasers in higher frequencies.

Mots clés : time resolved imaging, strong field physics, laser induce electron diffraction, laser induced electron holography

Participants :
- Aarhus University (Danemark) — Coordinator, beneficiary, Enseignement supérieur ou secondaire, subvention : 219312.0 €