Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Rewriting Global Orthodoxy Oriental Christianity in Europe between 1970 and 2020 (GlobalOrthodoxy)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: The Social World and Its Diversity
Panel description: Sociology, social psychology, social anthropology, education sciences, communication studies
Countries involved: Netherlands
Call: ERC Advanced Grant (ERC-2018-ADG, 2018)
Start date: 2019-10-01
End date: 2024-09-30
Duration (months): 60.0
Total project cost (EUR): 2467260.0
EU funding (EUR): 2467260.0
Participants: 1
Project status: SIGNED

Over the last fifty years, Oriental Orthodox Christians (Armenians, Copts, Syriacs/Arameans, Ethiopians and Eritreans) from the Middle East and Africa have settled in Europe, fleeing war-related violence and societal pressures. One of the prominent aspects of religious practice of these transnational Oriental communities is their strong emphasis on the writing and publishing of texts. These include traditional religious texts (from liturgy to history), re-translated and re-contextualized texts, and completely new texts. From simple leaflets and books to sophisticated internet productions where text is persuasively embedded in sound and image, these textual practices aim to transmit the religious heritage to a new generation in an increasingly globalized context. Scholarship has largely ignored these texts, being too popular or too modern for scholars of the written religious traditions and too textual for social scientists working on these transnational communities, even though they make up a crucial source for the study of these communities’ European integration, especially as to the hybrid character of many of these traditions, among Oriental and Eastern Orthodox Christianities, and among European and global Christianity. Unfortunately, the popular nature of these texts, whether published on paper or digitally, threatens their long-term survival. The project takes these textual practices as its main source to understand how these Oriental Christians inscribe themselves in European societies and so contribute not only to the transformation of their own transnational churches but also to that of Orthodoxy worldwide. It hypothesizes that diachronic and synchronic comparison among Oriental and Eastern Orthodox churches will show that this rewriting includes the actualization of their religious heritage vis-à-vis ethnic and national self-definitions, vis-à-vis European society, and vis-à-vis other churches, particularly Orthodox ones.

Keywords: religion orthodoxy,textual practices history transnationalism
Bayesian Models and Algorithms for Fairness and Transparency (BayesianGDPR)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Spain,United Kingdom
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-04-01
End date: 2025-09-30
Duration (months): 66.0
Total project cost (EUR): 1443697.0
EU funding (EUR): 1329947.0
Participants: 2
Project status: SIGNED

EU's GDPR prescribes that "Personal Data shall be processed lawfully, fairly, and in a transparent manner." The vision of this BayesianGDPR project is to integrate into automated machine learning systems using a novel Bayesian approach, in a transparent manner, the legal non-discriminatory principles of GDPR, taking into account feedback from humans and future consequences of their outputs. We aim to achieve this ambitious vision by 1) developing a machine learning framework for addressing fairness in classification problems and beyond, and under uncertainty about data, models, and predictions about future data (algorithmic fairness under uncertainty), 2) extending the framework to a setting where data points arrive over time, and models have to be dynamically updated when taking general feedback (feedback-driven setting), and 3) ensuring a human could understand how non-discrimination is defined and achieved by using, among others, uncertainty estimates for building interpretable models and/or explicitly explaining about changes being made to the models to enforce non-discriminatory principles (transparency in fairness). The BayesianGDPR project is "doubly timely"; not just in terms of the criticality of the fairness and transparency in machine learning at this point in time, but also because recent breakthroughs in scalability have finally made it feasible to explore Bayesian approaches that are uniquely capable of addressing one of the most central aspects of the problem, i.e. uncertainty. BayesianGDPR will, in the short term, ensure that organisations relying on machine learning technologies are provided with concrete tools to comply with the non-discriminatory principles of GDPR and similar laws. In the medium term, it will impact research in computational law, and its integration into mainstream legal practice. In the long term, it will also ensure continued confidence of the general public in the deployment of machine learning systems.

Keywords: bayesian machine learning models,fairness models,and transparency in fairness models
New Horizons for Holography (SPINBHMICRO)

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: Physics
Countries involved: Italy,United States
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-05-02
End date: 2025-05-01
Duration (months): 36.0
Total project cost (EUR): 251002.56
EU funding (EUR): 251002.56
Participants: 2
Project status: SIGNED

Black holes are among the most intriguing objects in theoretical physics. They are thermodynamic ensembles and they possess huge entropy, proportional to the area of the event horizon. Black hole entropy provides precious quantitative information about the microscopic structure of quantum gravity: its holographic behavior suggests that the quantum degrees of freedom of gravity are encoded in a lower-dimensional field theory. The first aim of this ambitious project is to make progress in understanding the nature of quantum gravity by using String Theory and the holographic (AdS/CFT) correspondence. The candidate will use AdS/CFT to explain the microstructure of extremal rotating black holes, whose near horizon geometry falls into the same class as those present in our universe. The counting of microstates is related to very recent exciting technical advances in the study of supersymmetric QFT by exact non-perturbative methods. The applicant will push current techniques to encompass also supersymmetry breaking setups, providing a new window into the fundamental microscopic theory of gravity. The second aim of this proposal is to investigate the process of energy extraction from fast spinning black holes. The candidate will solve the equations of Force Free Electrodynamics, which describe the electromagnetic field of the black hole magnetosphere filled with plasma, in a simplified setup of spinning black hole. She will analytically achieve a quantitative estimate of potential observational consequences, for instance the order of magnitude of the Lorentz factor of accelerated particles in black hole jets. The expertise of the candidate in black holes and holography complements that of the group at Harvard U. (Black Hole Initiative) and Milano U. in index computations, Kerr/CFT and magnetohydrodynamics, providing a unique opportunity to shed new light on these open questions.

Keywords: black holes,string theory,holography,rotating black holes,gauge,gravity duality,supersymmetry,general relativity
Structure determination of amyloid oligomers, the pathogenic species in Alzheimer ́s disease using fast MAS NMR and microfluidics (Oligomers-MAS-NMR)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Other Widening
Action type: Marie Skłodowska-Curie actions
Countries involved: Latvia
Call: Widening Fellowships (H2020-WF-03-2020, 2020)
Start date: 2021-12-01
End date: 2023-11-30
Duration (months): 24.0
Total project cost (EUR): 140202.24
EU funding (EUR): 140202.24
Participants: 1
Project status: SIGNED

Alzheimer’s disease (AD) is an age-related neurodegenerative disorder responsible for about 2 million deaths per year. Despite tremendous progress in basic research within the last years, its efficient treatment and diagnostic tools are still lacking. The previous studies have gathered sufficient evidence of a causative role of the aggregates of two proteins - amyloid beta and tau - in the AD pathogenesis. Both of these proteins can form highly toxic oligomeric species, which are the primary suspects of AD-related neurotoxicity. However, due to experimental difficulties the detailed structural and functional characterization of the oligomeric forms has been a big challenge. In the proposed project we aim to build on cutting-edge technologies and novel approaches to obtain atomic-level structures and investigate interactions of the amyloid beta and tau oligomers. Thus, this multidisciplinary project will apply (I) cell-free protein expression and purification protocols for incorporation of various selectively 13C, 15N and 19F labeled amino-acids; (II) microfluidics in order to generate size-controlled oligomers (III) solid-state NMR (ssNMR) at fast magic-angle spinning (MAS) regime tailored for 1H and 19F detection schemes. The anticipated outcome of this will be a unique combination of approaches to study amyloid aggregates, which can be further used and adapted for studying other protein assemblies. The project results will form the basis of innovation in the treatment of AD as well as other tauopathies.

Keywords: solid state nmr,fast magic angle spinning,amyloids,cell free expression,microfluidics,protein structure
Testing leptOn Flavour Universality in excited strange mesons (TOFU)

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: Physics
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-05-01
End date: 2022-04-30
Duration (months): 24.0
Total project cost (EUR): 175572.48
EU funding (EUR): 175572.48
Participants: 1
Project status: CLOSED

Our understanding of all known particles and their interactions is successfully described in the Standard Model (SM). It is, however, known to be incomplete since it does not explain e.g. dark matter, or the matter-antimatter asymmetry in the universe. Recently, several experiments found hints of physics beyond the SM, which must be further investigated. A key assumption of the SM is that leptons (electrons and their heavier siblings, muons and taus) have the exact same couplings to forces, called lepton universality. When testing this assumption using decays of so-called B mesons, three independent experiments found increased values for their decay rate to a D meson and tau lepton, compared to a D meson and a muon. This could be explained by the existence of new particles, such as leptoquarks, which couple more strongly to leptons with a higher mass. This proposal concerns a similar measurement using strange B mesons (Bs), which decay into strange D mesons (Ds). The D mesons that were measured before are extremely difficult to distinguish from their so-called resonance states, which are excitations of the D meson. Misidentifying these could wrongly increase the rate of tau decays of all three experiments. Ds mesons, on the other hand, have a different structure of resonances, and fewer exist that can mimic the signal. Additionally, these can be constrained using their well-defined kinematics. As such, an observation of non-universality in the Bs meson decays would provide conclusive evidence for the existence of physics beyond the SM. In 2021, the LHCb experiment will recommence data-taking with a completely new detector and reconstruction software. Dr. Klaver plays a key role in studying the impact of misaligned or misplaced detectors and detector defects of the upgrade detector. This proposal describes how a validation framework is to be set up to aid the commissioning of the new experiment. This secures future tests of lepton universality with high precision.

Keywords: b physics,lepton universality,lhcb,semileptonic decays,physics beyond the standard model
New Horizons Festival (NEWHORIZONS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European researchers' Night
Action type: Marie Skłodowska-Curie actions
Countries involved: Netherlands
Call: European Researchers' Night (NIGHT) (H2020-MSCA-NIGHT-2014, 2014)
Start date: 2014-05-01
End date: 2015-11-30
Duration (months): 19.0
Total project cost (EUR): 423900.0
EU funding (EUR): 182500.0
Participants: 1
Project status: CLOSED

'New Horizons Festival, A Night out in Science, Art and Music', is all about meeting science and scientists. As part of European Researchers' Night in 2014 and 2015, the Rotterdam based festival features researchers from Erasmus University Rotterdam and its strategic partners Delft University of Technology and Leiden University. 'A Night out' means that visitors will experience science by meeting face-to-face with researchers and taking part in demonstrations, experiments and dialogues. Exceptionally, the form of a lecture is used, for example to present a top speaker who combines scientific excellence with very good presentation skills. New Horizons Festival was formerly organized as 'Discovery Festival'. Every year the festival has a theme which is leading in the program. The theme of the 2014 edition is 'Big data, Your life in the cloud.' Researchers from diverse disciplines, such as life and medical sciences, psychology, economy, ICT and philosophy will focus on applications of big data approaches in their field and implications on society. The theme of 2015 has not yet been decided on. The main target group consists of people from 17 to 37 years old, the typical curious audience looking for new information and experiences which are relevant for their personal life and society; generally speaking this is the audience of nightlife and (pop-)festivals. But the festival is also attractive for people who are older and curious to learn about science and its relevance to society. For school pupils in the age from 6 to 12 and 15 to 17 a special program is organized during Friday afternoon. Apart from science, the festival incorporates art and music, which contribute to the festival experience. Art is a way to challenge, and reflect on science. Artists who are selected are inspired by scientific topics or scientific methods. Venues of the festival are Erasmus University Rotterdam, cultural institutes as well as the public space in Rotterdam, all in the city centre.

Keywords: science festival,outreach,rotterdam,erasmus university,european researchers night
Cracking the epitranscriptome (CrackEpitranscriptom)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Integrative Biology: from Genes and Genomes to Systems
Panel description: Genetics, epigenetics, genomics and other ‘omics studies, bioinformatics, systems biology, genetic diseases, gene editing, innovative methods and modelling, ‘omics for personalised medicine
Countries involved: Israel
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2016-11-01
End date: 2022-04-30
Duration (months): 66.0
Total project cost (EUR): 1402666.0
EU funding (EUR): 1402666.0
Participants: 1
Project status: CLOSED

Over 100 types of distinct modifications are catalyzed on RNA molecules post-transcriptionally. In an analogous manner to well-studied chemical modifications on proteins or DNA, modifications on RNA - and particularly on mRNA - harbor the exciting potential of regulating the complex and interlinked life cycle of these molecules. The most abundant modification in mammalian and yeast mRNA is N6-methyladenosine (m6A). We have pioneered approaches for mapping m6A in a transcriptome wide manner, and we and others have identified factors involved in encoding and decoding m6A. While experimental disruption of these factors is associated with severe phenotypes, the role of m6A remains enigmatic. No single methylated site has been shown to causally underlie any physiological or molecular function. This proposal aims to establish a framework for systematically deciphering the molecular function of a modification and its underlying mechanisms and to uncover the physiological role of the modification in regulation of a cellular response. We will apply this framework to m6A in the context of meiosis in budding yeast, as m6A dynamically accumulates on meiotic mRNAs and as the methyltransferase catalyzing m6A is essential for meiosis. We will (1) aim to elucidate the physiological targets of methylation governing entry into meiosis (2) seek to elucidate the function of m6A at the molecular level, and understand its impact on the various steps of the mRNA life cycle, (3) seek to understand the mechanisms underlying its effects. These aims will provide a comprehensive framework for understanding how the epitranscriptome, an emerging post-transcriptional layer of regulation, fine-tunes gene regulation and impacts cellular decision making in a dynamic response, and will set the stage towards dissecting the roles of m6A and of an expanding set of mRNA modifications in more complex and disease related systems.

Keywords: rna biology,post transcriptional regulation of rna,rna binding proteins
A next generation diagnostic device that effectively screens for breast cancer in all tissue types, without the use of ionising radiation (OE Scan)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: United Kingdom
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-01-01
End date: 2018-04-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Tiro Medical was formed in 2014 by a multidisciplinary shareholder group, including academic and healthcare organisations along with clinical and industry experts. Tiro Medical develops tools for the Digital Medicine sector, creating products that enhance the diagnostic and treatment decision making processes, improving the standard of care whilst reducing expenditure. Breast cancer is the second leading cause of cancer-related death in women there are 1.7 million new cases of breast cancer occur each year, with a global economic burden estimated at US$88 billion. A woman's chance of survival is significantly increased with early detection. The mammography technique has major limitations and fails to detect approximately half of cancers in women with dense breast tissue. Women with dense breast tissue have a 4 to 6 times increased risk of breast cancer compared to women with non-dense tissue. Unfortunately the group at highest risk of cancer is also the group for which mammography is least effective. Tiro Medical have developed a breast imaging device (the OE scan) based on the use of Optical Elastography and Digital Physiological Analysis. The Tiro solution has higher contrast ratio in dense tissues allowing for improved diagnosis in this population, uses zero radiation so is not limited by age and can be used at any age and in any condition (pregnancy, specific illness etc.) and has zero pain leading to better compliance. The company is currently in talks with potential stakeholder companies in the EU who have shown an active interest in the project.

Keywords: breast cancer,diagnostics
Educating Europe`s Future Engineers in Next Generation Heavy Duty Mobile Machinery: Artificial Intelligence driven Robotisation, Energy Efficiency and Process Optimisation (MORE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Industrial Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,Austria,Germany,Sweden,Finland,Sweden
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2020-01-01
End date: 2024-06-30
Duration (months): 54.0
Total project cost (EUR): 2175647.01
EU funding (EUR): 2175647.01
Participants: 8
Project status: SIGNED

Ever-increasing demand for material and food, stricter emissions regulations, and continuous globalisation has put Europe’s construction, logistics, and agriculture sectors under immense pressure. Dramatic improvements in their productivity and efficiency are the only answer to these global challenges. Heavy-duty mobile (HDM) machinery are crucial workhorses in these sectors. Europe`s major HDM equipment companies (J. Deere, Liebherr, Bosch Rexroth, HIAB, Volvo CE) have joined forces with four highly specialised academic groups to deliver MORE, a timely project in response to these urgent needs. MORE will address these challenges by delivering innovative solutions driven by digitalisation and Artificial Intelligence (AI) in three areas: 1) Processes: world modelling by combining machine-earth interaction with vision, and optimising material flow in construction sites, 2) Machines: creating efficient power-train solutions for heavy-duty booms and 3) Control: object classification and world modelling to support long-term autonomy; obstacle avoidance in adverse conditions; innovative solutions on transfer-learning for earth moving and boom control to reduce operational and development costs, in different application areas. Europe’s HDM machine industry needs to invest heavily in digitalization, ‘green’ and innovative technologies, and address the serious labour shortage. There is thus a rapidly growing demand for experts in HDM machinery having the big picture of trends in AI, robotics, and energy systems as well as an understanding of the challenges and opportunities. MORE is an innovative European Industrial Doctorate (EID) research and training programme, the first of its kind, that will address this need and fill the gap in related research and training. Eight early stage researchers will be equipped with a set of research skills including robotics, machine learning, energy systems, as well as transferable skills such as entrepreneurship and career management.

Keywords: heavy duty mobile machinery,non road mobile machines,field robotics,machine learning,robotisation,energy efficiency,construction,logistics,digitalization