Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Innovation in Investigative Journalism (SCOOP)

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-2016, 2016)
Start date: 2017-10-01
End date: 2019-09-30
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

The objective of SCOOP is to study the impact of innovative technologies and new funding mechanisms on the role and working practices on investigative journalism. Investigative journalism should play a key role in democracy, but developments in digital media and new technologies (drones, mobile cameras) and changing funding models (crowd sourcing) is transforming this. Traditional media organisations struggle to adapt to new patterns, work more efficiently with fewer journalists, and identifying new financing models for the resource-intensive practice of investigative journalism. Studies find that alternative practices and professionals have emerged becoming a marketing strategy for media outlets and a tool to gain market share and new customers in a digital world. But there is a research gap about how investigative journalism is in flux. SCOOP will address this gap with findings on alternative financing models, new and creative use of technology and social media, and new forms for collaborations in the UK. SCOOP involves a comprehensive ethnographic analysis of how investigative journalists in the UK media are adjusting to the challenges and possibilities created by new technologies; findings from a country with long tradition in investigative journalism will inform journalists, academics, decision makers, and the wider public in countries currently lacking funding and traditions for investigative journalism. I will interview and observe journalists and media actors from four major UK media organizations. SCOOP will enhance my career as a professional journalist and as an educator of journalists. Cardiff University and HiOA will benefit from my enhanced skills and by the establishment of a virtual centre of investigative journalism to implement the outcomes of SCOOP, this should expand journalism research and training. SCOOP will benefit the media industry and journalism studies in general at a time of profound changes in the profession.

Keywords: journalism,innovation in investigative journalism,traditional and digital media,new technologies impact on journalism,new practices and new funding mechanisms,ethnographic analysis
Next-Generation Open-Source Tools for ATM Performance Modelling and Optimisation (NOSTROMO)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Spain,Spain,United Kingdom,Denmark,United Kingdom
Call: ATM Validation for a Digitalised ATM (H2020-SESAR-2019-2, 2019)
Start date: 2020-06-01
End date: 2022-11-30
Duration (months): 30.0
Total project cost (EUR): 1771361.25
EU funding (EUR): 1771361.25
Participants: 6
Project status: CLOSED

The ATM system is composed of a myriad of elements that interact with each other generating a number of properties characteristic of complex adaptive systems, which make the ATM system intrinsically difficult to model. One of the most challenging modelling problems is the assessment of the performance impact of new solutions at a system-wide level, which has been a long-time objective of the ATM research community. NOSTROMO project aims to develop new approaches to ATM performance modelling able to reconcile model transparency, computational tractability and ease of use with the necessary sophistication required for a realistic representation of the ATM system. The main objectives of NOSTROMO are: 1. Develop a methodology for the construction of ATM performance metamodels that approximate the behaviour of computationally expensive simulation models to allow a systematic and efficient exploration of the model input-output space and a robust handling of the associated uncertainty, by exploiting the recent advances in the field of active learning; 2. Implement the proposed metamodelling methodology by developing Open-Source metamodels of different state-of-the-art microsimulation tools able to reproduce ATM performance at ECAC level; 3. Develop a set of visualisation and visual analytics tools that facilitate the analysis, interpretation and communication of the results of the new metamodels; 4. Demonstrate and evaluate the maturity of the NOSTROMO approach and the capabilities of the newly developed toolset through a set of case studies addressing the performance assessment of SESAR Solutions at ECAC level. They will cover a variety of ATM phases, solutions and KPAs/KPIs sufficiently heterogeneous to allow a comprehensive benchmarking against the performance modelling methodologies currently in use, to analyse the added value and the limitations of the NOSTROMO approach and evaluate the appropriateness of its transition to SESAR IR and improvement of the E-OCVM.

Keywords: atm performance assessment,e ocvm,active learning,visual analytics,performance modelling,metamodelling,machine learning,sesar,benchmarking,open source
Non-compact Chern-Simons Theory, Positive Representations, and Cluster Varieties (NCST)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: United Kingdom
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-07-01
End date: 2026-06-30
Duration (months): 60.0
Total project cost (EUR): 1497425.0
EU funding (EUR): 1497425.0
Participants: 1
Project status: SIGNED

Over the past 30 years, deep connections between Chern–Simons theory, supersymmetric (SUSY) gauge theory, and representation theory of quantum groups, have caused an avalanche of research in mathematics and physics. In this proposal I use quantum cluster varieties to develop positive representation theory of quantum groups and a non-compact analogue of Chern–Simons theory. I also obtain new invariants of links and 3-manifolds, and establish new connections between SUSY gauge theories and quantum character varieties. This proposal builds on my prior work, where I prove fundamental cases of the Fock–Goncharov modular functor conjecture in higher Teichmüller theory, and Gaiotto’s conjecture on the existence of cluster structure on K-theoretic Coulomb branches of 3d N = 4 SUSY gauge theories. The proposal is split into the following four projects: 1. Prove the modular functor conjecture and extend it to a non-compact analogue of Chern–Simons theory. Obtain new powerful invariants of links and 3-manifolds. 2. Develop positive representation theory: construct continuous braided monoidal category from positive representations, prove non-compact Peter–Weyl theorem, obtain explicit formulas for finite-dimensional 6j-symbols, prove that the category of positive representations of quantum groups in type A is equivalent to a fusion category in Toda conformal field theory. 3. Describe cluster structure on K-theoretic Coulomb branches of 3d N = 4 SUSY gauge theories, conjectured by Gaiotto. Obtain cluster structure on spherical double affine Hecke algebra, and Slodowy intersections. Provide an algorithm, identifying certain theories of class S with quiver gauge theories. 4. Relate cluster quantization of character varieties with the topological quantum field theory constructed by Ben-Zvi, Brochier, and Jordan. Use it to obtain a canonical quantization of the A-polynomial.

Keywords: quantum character varieties,cluster varieties,higher teichmuller theory,modular functor,non compact chern simons theory,positive representations,quantum coxeter toda system,coulomb branches of 3d n 4 gauge theories,gelfand tsetlin representations,factorization homology
RNA-based technologies for single-cell metabolite analysis (MetaRNA)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany,Germany,Germany,Switzerland,France,France,Netherlands,Netherlands,Denmark,Denmark,United Kingdom,United Kingdom,United Kingdom,United Kingdom,Denmark
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2014, 2014)
Start date: 2015-01-01
End date: 2019-06-30
Duration (months): 54.0
Total project cost (EUR): 3995643.24
EU funding (EUR): 3995643.24
Participants: 15
Project status: CLOSED

Metabolism is the foundation of all living organisms. While cells in a population are often phenotypically different, most of our current analytical approaches still probe metabolism only at the population level. Because strong evidence exists that metabolic cell-to-cell heterogeneity has, for instance, disease relevance, researcher from MetaRNA will overcome this severe analytical limitation through exploiting exciting opportunities emerging from the RNA field. Such synergy potential between the metabolism and RNA research fields has until today not been exploited, because they are separated from each other in Europe and worldwide. Through consequently missing research training programs we thus lack experts with combined knowledge in metabolism and RNA. The aim of the MetaRNA proposal is therefore to establish a European Training Network (ETN) that educates specialists for academia and industry - fully trained at the interface of these two fields - in the development and application of RNA-based sensors to investigate metabolism at the single-cell level, to apply these tools for novel biotechnological applications and to provide a framework for their future use in diagnostics and therapeutics. In MetaRNA, eight research groups from the metabolic and RNA fields and six partners from the private sector join forces to create a platform of mobility and training to 15 early-stage researchers (ESRs), by means of customized research projects, exchange of knowhow among researchers and partners, attendance to specialized courses, workshops and conferences, as well as training in complementary skills.

Keywords: metabolism,aptamer,riboswitch,single cell,sensor,biotechnology,cell factory
Precision Therapies in Lung Squamous Cell Carcinoma (PrecTherLSCC)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-01
End date: 2018-09-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Lung squamous cell carcinoma (LSCC) represents one third of lung tumours; 550,000 cases are diagnosed annually worldwide (20% occur in Europe). Treatment options for this cancer type are still scarce. Identification of LSCC genetic drivers is thus an essential unmet need for developing novel therapies for this disease. In a stepwise multidisciplinary approach, we will determine if TNIK (Traf-2 and Nck-interacting kinase), a gene amplified in almost 40% of LSCC cases, constitutes a therapeutic target for the treatment of LSCC patients. Our preliminary data show that TNIK is overexpressed in LSCC cells, in which it has a pro-oncogenic role. Using proteomics approaches and functional assays, we will define the molecular mechanisms and critical signalling pathways that TNIK modulates to promote LSCC progression. In xenograft models we will confirm the contribution of TNIK to the studied phenotypes in vivo. We will analyse TNIK levels and activity (after identification of substrates) in patient samples, and will aim to validate TNIK as a target for therapeutic intervention using small molecule TNIK inhibitors in novel preclinical models: LSCC organoids and patient-derived xenografts. Finally, we will assess if increased TNIK expression can serve as a biomarker to select patients that would benefit from treatment with TNIK inhibitors. Our studies will increase our knowledge on LSCC biology and aim to find a precise treatment for this disease. This project will enable Dr P Torres-Ayuso to develop a wide range of new and transferable skills, and will allow him to broaden his technical, mentoring, management and communication skills. He will benefit from the high calibre of the Cancer Research UK Manchester Institute, and the expertise of his supervisor (Dr J Brognard) who will aid in his development as a young scientist. This project will thus enable the Fellow to achieve his long-term objective of obtaining a leadership position in a competitive European Institute.

Keywords: lung squamous cell carcinoma,targeted therapies,driver genes,protein kinases,cell signalling
Providing Active Safety Shoes based On Nano Technologies (PASSIONATE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: SME instrument
Countries involved: Belgium
Call: Accelerating the uptake of nanotechnologies, advanced materials or advanced manufacturing and processing technologies by SMEs (H2020-SMEINST-1-2014, 2014)
Start date: 2015-06-01
End date: 2015-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Nano-technologies and other material science innovations have yielded a range of materials with highly functional surface properties. Some of these materials are available in the form of films or foils (2D sheets). Bekina Boots (a global leader in polyurethane protective footwear) has patented technology for producing ‘safety footwear in foamed plastic with an additional protective outer layer’. Bekina Boots wants to integrate these hi-tech foils onto footwear, in order to enable a radically new form of active personal protection in a wide range of niche applications. Footwear which senses and/or actively interacts with its environment can deliver an unprecedented degree of protection to workers worldwide. This innovation has the potential to become the new standard for safety footwear in a number of industries and is disruptive to current footwear which typically provides passive protection based on a physical barrier. The main objectives of the study relate to the economic feasibility and production upscaling: - The exploration of potential niche applications and assessment of their market potential - Development of an operational framework (incl. technology & commercial partnerships) to roll out a global marketing & commercialization strategy. - Development of a detailed business & financial plan so that Bekina Boots can capture the market

Keywords: footwear,personal protective equipment,nano coatings,advanced manufacturing
Innovative railway sleeper design increasing track lateral resistance, reducing significantly costs related to track misalignment events (DINTRA)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: SME instrument
Countries involved: Spain
Call: Small business innovation research for Transport and Smart Cities Mobility (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-12-01
End date: 2020-11-30
Duration (months): 36.0
Total project cost (EUR): 1938093.75
EU funding (EUR): 1356656.63
Participants: 1
Project status: CLOSED

Railway track lateral movement occurs when lateral resistance is not enough hold track in place. This movement is known as track misalignment (when it is a progressive defect associated to train loads) or track buckle (when it is an abrupt event associated mainly to unusually high temperatures).Track alignment must be restored as even small track misalignments induce additional dynamic forces in the vehicle. Track maintenance operations to restore track alignment (tamping) require 26% of track maintenance and renewal cost (2.989M€/year in Europe). Besides, cost of rail grinding and renewal operations are estimated to be around 10% of total EU railway maintenance and renewal costs (1.118M€/year). Moreover track misalignment eventually causes a great risk of derailment. It is estimated that around 25% of train derailments are due to track geometry deterioration, causing on average 18 derailment per year in Europe with an associated economic loss of 32M€, not considering the potential human losses. To solve this situation, ACCISA has developed DINTRA sleepers, and innovative solution capable of increasing significantly track lateral resistance. Reduction of track maintenance and renewal cost and track buckle events and derailments due to track misalignment will be experienced. DINTRA sleepers have a low implementation cost and no need of extra calculation or new equipment for their implementation. Our overall objective with the present project is to industrialize the production process of DINTRA sleeper to introduce them into the international market through the construction of three advanced demonstration element in the most complex and demanding conditions. When implementing DINTRA sleepers, railway infrastructure managers will save over 978M€ in track maintenance and renewal cost during the life span of the product (40 years), while only investing 53.7M€. DINTRA sleepers will lead to 13.7M€ of benefits for ACCISA by the 5th year.

Keywords: railway engineering,track maintenance and renewal cost,derailment,railway sleepers,track buckle,railway transport,track lateral resistance
The Black Hole Stability Problem and the Analysis of asymptotically anti-de Sitter spacetimes (BHSandAADS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Germany,United Kingdom
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-11-01
End date: 2024-04-30
Duration (months): 66.0
Total project cost (EUR): 1999755.0
EU funding (EUR): 952525.36
Participants: 2
Project status: SIGNED

The present proposal is concerned with the analysis of the Einstein equations of general relativity, a non-linear system of geometric partial differential equations describing phenomena from the bending of light to the dynamics of black holes. The theory has recently been confirmed in a spectacular fashion with the detection of gravitational waves. The main objective of the proposal is to consolidate my research group based at Imperial College by developing novel mathematical techniques that will fundamentally advance our understanding of the Einstein equations. Here the proposal builds on mathematical progress in the last decade resulting from achievements in the fields of partial differential equations, differential geometry, microlocal analysis and theoretical physics. The Black Hole Stability Problem A major open problem in general relativity is to prove the non-linear stability of the Kerr family of black hole solutions. Recent advances in the problem of linear stability made by the PI and collaborators open the door to finally address a complete resolution of the stability problem. In this proposal we will describe what non-linear techniques will need to be developed in addition to achieve this goal. A successful resolution of this program would conclude an almost 50-year-old problem. The Analysis of asymptotically anti-de Sitter (aAdS) spacetimes We propose to prove the stability of pure AdS if so-called dissipative boundary conditions are imposed at the boundary. This result would align with the well-known stability results for the other maximally-symmetric solutions of the Einstein equations, Minkowski space and de Sitter space. As a second -- related -- theme we propose to formulate and prove a unique continuation principle for the full non-linear Einstein equations on aAdS spacetimes. This goal will be achieved by advancing techniques that have recently been developed by the PI and collaborators for non-linear wave equations on aAdS spacetimes.

Keywords: einstein equations,general relativity,black holes,stability,anti de sitter,non linear partial differential equations
Visualizing the Conformational Dynamics of Proteins by Time-Resolved Electron Microscopy (ProteinDynamics)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Switzerland
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-03-01
End date: 2023-08-31
Duration (months): 66.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

The function of many proteins involves large-amplitude domain motions that occur on a timescale of microseconds to millisecond. In the absence of tools to directly observe these dynamics, our understanding of the function of proteins is necessarily incomplete and must frequently rely on extrapolation from known static structures. Here, the implementation of real-time imaging of single particle dynamics in liquid phase is proposed with both microsecond time resolution as well as near-atomic spatial resolution. The experimental approach builds on several recent technological advances, namely the advent of Time-Resolved (“Four-dimensional”) Electron Microscopy, graphene liquid cell technology, and direct electron detection cameras, which are combined with established single-particle reconstruction techniques in cryo-Electron Microscopy. Visualizing the conformational dynamics of proteins will fundamentally advance our understanding of these nanoscale machines and has the potential to greatly benefit biomedical applications.

Keywords: in situ electron microscopy,time resolved cryo em,photo electron gun,single particle dynamics