Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Serendipity in Research and Innovation (SIRI)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: United Kingdom
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-06-01
End date: 2024-05-31
Duration (months): 72.0
Total project cost (EUR): 1423227.52
EU funding (EUR): 1423227.52
Participants: 1
Project status: SIGNED

The focus of the SIRI project is on the desirability and feasibility of targeting research, and the idea of "serendipity" in research and innovation (SIRI). This is the notion that research leads to unexpected valuable outcomes and, since the outcomes of research are impossible to predict, research itself is difficult (perhaps even impossible) to manage or direct towards specific social ends. Research may be uncertain, but it is not random, and we know that industrial R&D managers fund research in areas where they expect returns and organise research to maximise its impact. With public policy, the scenario is slightly different, but there is limited evidence to draw on to support policy making. Thus, SIRI asks whether EU science can be better managed in ways that enhance the social and economic value of serendipity. The project will undertake a mix of fundamental basic research on the nature of serendipity and its measurement, its history and influence on research policy, together with applied policy-focused research on issues of direct relevance to government policy makers, medical charities and industrial R&D managers. It will deploy mixed quantitative and qualitative methods to generate large scale evidence as well detailed cases studies. It will then focus on developing theory and implications to inform future policy on research and innovation.

Keywords: serendipity,research policy,science and technology policy,biomedical innovation,case study,bibliometrics
Augmented Commerce, a game-changing augmented reality-based sales experience to disrupt the e-commerce industry (Augmented Commerce)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: France
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-02-01
End date: 2017-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Augment is a highly-promising French SME founded in 2011, which is in a position to disrupt the e-commerce market through a proprietary augmented reality (AR) solution targeting both sellers (Augment Sales App) and buyers (Augmented Shopper App). Recently introduced to the public eyes through the famous game Pokemon Go®, AR is also impacting the retail and e-commerce industries. Indeed, it allows consumers to use real-life spaces to virtually “try on” furniture, ultimately bridging the gap between digital and real worlds. The global augmented reality application in retail and e-commerce (a-commerce) is expected to reach $14 billion by 2020. From the customers standpoint, “the elephant in the room is price” (DigiCapital) of the AR technology acquisition. With its global approach, Augment will make such a technology affordable to the customers by generating models that can be mutualised and used with minor adjustments, whatever the manufacturer, the brand or the distributor. From the very beginning, Augment is an innovation-driven company which offers to the users the capability to simulate their products in 3D AR at scale in real-time in real environments, all from the convenience of their smartphones or tablets. Augment is supported by business angels, venture capitalists and national funding agencies. It has raised a total of 5.7M€, to develop its B2B and B2B2C Apps, allowing it to become one of the European AR leader. With the SME Instrument project, Augment ambitions to boost its own development to become a worldwide leader in a-commerce by 2020. The Phase 1 feasibility study aims to scale up the Deep Modelling 3D Generator to allow a swift expansion of its 3D models catalogue (a prerequisite to outpace competitors) and to release a detailed business plan based on market feedback. The Augmented Commerce project will result in 120M€ of increased revenues for Augment by 2020 and 155 job creations.

Keywords: augmented reality,retail,e commerce,real time,scale up
ERATOSTHENES: Excellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment (EXCELSIOR)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Germany,Germany,Cyprus,Greece,Switzerland
Call: Teaming Phase 2 (H2020-WIDESPREAD-2018-01, 2018)
Start date: 2019-10-01
End date: 2026-09-30
Duration (months): 84.0
Total project cost (EUR): 15000000.0
EU funding (EUR): 15000000.0
Participants: 9
Project status: SIGNED

The proposed CoE envisions to upgrade the existing ERATOSTHENES Centre of the Cyprus University of Technology into an inspiring environment for conducting basic and applied research and innovation in the thematic clusters of Environment and Climate, Resilient Society, and Big Earth Data Analytics through the integrated use of remote sensing and space-based techniques. Satellite observation and remote sensing are the major focal point of the Centre and in the proposed CoE will be used in an integrated manner with other techniques and geospatial tools. Earth observation data are the key factors in Earth environmental programs in order to assess the current information of the environment, inform models, understand relationships among Earth processes, support decision making e.g., toward sustainability and involve stakeholders more effectively in environment decision-making. Earth observation has, so far, made sustainability a reality and it will continue to do so as more research is continuously done and technology improves. Climate change, air and water quality, natural hazards, floods, earthquakes, fires, erosion, landslides and other phenomena are some of the factors that need to be taken into consideration in several environmental studies, both at a national as well as at a regional level. Indeed, Cyprus with its unique geographical position, can support satellite Earth Observation programmes in these areas, as well as their respective calibration and validation aspects. The project is fully aligned with the Smart Specialization Strategy of Cyprus (S3Cy). The Teaming 2 proposal of EXCELSIOR is based on the business plan developed in Teaming 1 EXCELSIOR project, which demonstrates the development of a fully autonomous and self-sustained Centre of Excellence (112 and 132 jobs at YR7 and YR15, respectively).

Keywords: earth observation,remote sensing,space applications,copernicus
Flow Photoelectrocatalysis via Hydrogen-Atom Transfer: net-oxidative C-H to C-C bond conversion (HAT-TRICK)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-04-01
End date: 2023-03-31
Duration (months): 24.0
Total project cost (EUR): 187572.48
EU funding (EUR): 187572.48
Participants: 1
Project status: CLOSED

Currently, direct C-H to C-C bond conversion achieved via photocatalyzed Hydrogen Atom Transfer is mainly limited to redox neutral transformations, where the electrons in the reagents are preserved in the product of interest. The few non-redox neutral approaches reported are oxidative processes that require aggressive oxidants or fragile dual-catalytic systems to remove the extra electrons. HAT-TRICK combines photocatalyzed Hydrogen Atom Transfer (p-HAT), electrochemistry (e-chem) and flow chemistry (flow-chem) to deliver a game-changing and easy-to-use technology to drive these net-oxidative transformations sustainably. On one side, p-HAT will be used as the substrate activation manifold because it consists in the direct activation of a C-H bond in the substrate by the excited state of a photocatalyst to deliver an organoradical to be exploited for synthetic purposes. This methodology shows unrivalled atom-efficiency, step-economy and sustainability and waives chemists from installing activating groups in the molecule. On the other side, e-chem stands as a unique way to remove extra electrons from the reaction mixture, since an anode works as a recyclable, bottomless sink of electrons. This strategy outperforms those based on chemical oxidants as it allows to have absolute control on the applied potential, which is vital in the presence of the fleeting reactive intermediates that will be generated via p-HAT. Finally, flow-chem consistutes a godsend for this project: in a flow electrochemical cell the interelectrode distance can be reduced to micrometers, ensuring that radical intermediates are generated next to the anode to encourage the needed oxidation. On top of that, flow-chem innate modularity enables the possibility of performing tandem reactions. Given the above, HAT-TRICK will open new avenues in organic synthesis and will allow to run cross-dehydrogenative couplings (RO1), functionalization of alkenes (RO2) and the dehydrogenation of alkanes (RO3).

Keywords: electrochemistry,flow chemistry,hydrogen atom transfer,net oxidative
Mont-Blanc 3, European scalable and power efficient HPC platform based on low-power embedded technology (Mont-Blanc 3)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: High Performance Computing
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Spain,Spain,Switzerland,France,France,France,United Kingdom
Call: HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications (H2020-FETHPC-2014, 2014)
Start date: 2015-10-01
End date: 2018-12-31
Duration (months): 39.0
Total project cost (EUR): 7968375.63
EU funding (EUR): 7968375.63
Participants: 11
Project status: CLOSED

The main target of the Mont-Blanc 3 project "European Scalable and power efficient HPC platform based on low-power embedded technology" is the creation of a new high-end HPC platform (SoC and node) that is able to deliver a new level of performance / energy ratio whilst executing real applications. The technical objectives are: 1. To design a well-balanced architecture and to deliver the design for an ARM based SoC or SoP (System on Package) capable of providing pre-exascale performance when implemented in the time frame of 2019-2020. The predicted performance target must be measured using real HPC applications. 2. To maximise the benefit for HPC applications with new high-performance ARM processors and throughput-oriented compute accelerators designed to work together within the well-balanced architecture . 3. To develop the necessary software ecosystem for the future SoC. This additional objective is important to maximize the impact of the project and make sure that this ARM architecture path will be successful in the market. The project shall build upon the previous Mont-Blanc & Mont-Blanc 2 FP7 projects, with ARM, BSC & Bull being involved in Mont-Blanc 1, 2 and 3 projects. It will adopt a co-design approach to make sure that the hardware and system innovations are readily translated into benefits for HPC applications. This approach shall integrate architecture work (WP3 & 4 - on balanced architecture and computing efficiency) together with a simulation work (to feed and validate the architecture studies ) and work on the needed software ecosystem.

Keywords: exascale,supercomputing,embedded,technology,energy efficiency
Family ties that bind: A new view of internal migration, immobility and labour-market outcomes (FamilyTies)

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: Belgium,Belgium,Netherlands
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-09-01
End date: 2024-02-29
Duration (months): 78.0
Total project cost (EUR): 2499418.75
EU funding (EUR): 2308733.75
Participants: 3
Project status: SIGNED

Internal migration (long-distance moves within national borders) is generally assumed to be beneficial to individuals and households. This FamilyTies project has been designed to make a decisive contribution to a much more comprehensive explanation of internal migration and its labour-market outcomes than current, mainly economic, explanations have achieved thus far. It introduces a novel perspective on internal migration and immobility, which focuses on the role of family outside the household in deciding on whether and where to relocate, and which takes into account contemporary family complexity: the family ties perspective. The aim is to identify the role of family ties in internal migration, immobility and labour-market outcomes. The objectives are: 1. Identifying the role of family ties as a deterrent of migration and key determinant of immobility. 2. Explaining migration towards family in relation to migration in other directions. 3. Determining to what extent and for whom family-related motives drive migration and immobility. 4. Unravelling how individual labour-market outcomes of migration versus immobility differ between (im)mobility related to family ties and (im)mobility due to other factors. Geo-coded register and census data containing micro-links between family members will be used for Sweden, Norway, Denmark, the Netherlands and Belgium, as well as survey data for Sweden, the Netherlands, the UK, the USA and New Zealand. These will be analysed using advanced applications of hazard regression, logistic regression, OLS regression and structural equation models, which take into account the multilevel and multi-actor structure of the data and issues of endogeneity and self-selection. The project will provide major new insights into migration, immobility and labour-market outcomes, and input for better predictions and policies concerning migration, population growth and decline, ethnic segregation, labour-market flexibility and family support.

Keywords: internal migration
Generalised Entropy Models for Spatial Choices (GEM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Institutions, Governance and Legal Systems
Panel description: Political science, international relations, law
Countries involved: Denmark,Denmark,United Kingdom
Call: ERC Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-09-01
End date: 2023-06-30
Duration (months): 70.0
Total project cost (EUR): 2574486.25
EU funding (EUR): 2060000.0
Participants: 3
Project status: SIGNED

This project will create a new category of models that can be used for describing a wide range of spatial choice problems in the social sciences. Spatial settings often have a very large number of choice alternatives. Discrete choice models are used extensively to make counterfactual predictions based on observations of individual choices. Despite forty years of research, current spatial choice models still have two major generic short-comings that seriously limit their ability to make counterfactual predictions. The new category of models will address these two short-comings. The first issue is that substitution patterns between choice alternatives are very complex. The new models will allow substitution patterns to be specified in a general and transparent way. The second issue is that so-called endogeneity issues are pervasive, which violates the underlying statistical assumptions of common models and leads to inconsistent results. The new models will enable endogeneity issues to be dealt with in a simple way. The new models rely on a concept of generalised entropy and are related via duality to classical discrete choice models. A generalised entropy model, or just GEM, will be specified in terms of a transformation from choice probabilities to utilities. This idea is completely new. It is the exact opposite of classical discrete choice models and makes available a whole universe of new models. Early results suggest that GEM will enable the short-comings of the standard models to be overcome. The project develops GEM in three prototypical spatial contexts: equilibrium sorting of households, travel demand modelling, and network route choice. Classical discrete choice models are extensively used for policy analysis and planning. Replacing these by GEM will therefore influence a multitude of decisions across a range of sectors of great societal importance with environmental, economic and welfare consequences that reach far into the future.

Keywords: spatial choice,discrete choice,generalised entropy,substitution,endogeneity,travel demand,residential sorting,traffic networks
Elementary quantum dot networks enabled by on-chip nano-optomechanical systems (QD-NOMS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Germany,Germany
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-01-01
End date: 2022-12-31
Duration (months): 72.0
Total project cost (EUR): 1774693.0
EU funding (EUR): 1397853.0
Participants: 2
Project status: CLOSED

Is there any limit to the size of a quantum system? How large and how small can it be? Both questions are related to scalability, a most critical issue in quantum technologies. A scalable quantum network, which can be extended almost infinitely, is built by entangling individual quantum systems, e.g. atoms. It will provide thrilling opportunities across a range of intellectual and technical frontiers in quantum information science. Building such a network is however a great challenge, in both physics and engineering. Often referred to as artificial atoms, semiconductor quantum dots (QDs) are among the most promising single and entangled photon sources to build a photonic quantum network. However there is a longstanding and yet unsolved challenge on scalability, since, unlike real atoms, every QD is different. By engineering individual QDs with an innovative nano-optomechanical system (NOMS), elementary QD networks will be built via scalable interactions of single or entangled photons, in a fashion similar to that of real atoms. The scientific goals are to upscale QD networks with the first demonstrations of (1) indistinguishable entangled photons from different QDs, (2) deterministic entanglement swapping, purification and graph states with multiple QDs (3) deterministic Boson sampling with more than 4 QDs on chip. The technological goals are (1) to downscale the footprint (<50 µm) of individual QD sources with full tunabilities, and to realize (2) arrays (>4×4) of tunable single and entangled photon sources, (3) waveguide integration on III-V/silicon chips, and (4) compact quantum LED demonstrators. QD-NOMS will address the physical and technological challenges in building a solid-state QD-based quantum network. Its success does not only provide a novel toolkit to realize scalable QD systems for cutting-edge fundamental researches but also brings the semiconductor QD based platforms, after a decade of development, to the attention of practical applications.

Keywords: semiconductor quantum dot,quantum photonics,single photon,entangled photons,entanglement,quantum light emitting diode
VIral and BacteRial Adhesin Network Training (ViBrANT)

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,Norway,Finland,Sweden,France,France,United Kingdom,United Kingdom,Portugal,Portugal,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2018-01-01
End date: 2022-06-30
Duration (months): 54.0
Total project cost (EUR): 3925220.4
EU funding (EUR): 3925220.4
Participants: 15
Project status: CLOSED

ViBrANT (VIral and BacteRial Adhesin Network Training) brings together an interdisciplinary team of world-leading European infection researchers, focused on a cutting-edge translational research project to understand host-pathogen adhesion and to develop novel, highly-specific nanoscale diagnostics to improve patient care. Host-pathogen interactions are the basis for infectious diseases, but the research methodologies needed to unravel these interactions and translate them into viable diagnostic tools are complex and change rapidly. ViBrANT will deliver high-impact fundamental and translational science and in so doing will educate 15 ESRs. We have the demonstrated track-record and infrastructure to train ESRs in highly innovative methodologies, including structural biology, proteomics, genetics, comparative genomics, lab-on-a-chip technology and the development of state of the art diagnostics in the field of infectious diseases. ViBrANT will investigate the poorly understood structure-function relationships between pathogen adhesins and hosts in an integrative manner. The ESRs in the project will have extensive intersectoral mobility across 7 EU/EEA countries, accessing the best complementary skills in each of the hosting institutions. ViBrANT comprises 8 leading universities, 1 public research institution and 6 companies (from SME to multinational). The project will impact adhesion biology in general; the detection of multi-antibiotic resistant human pathogens will have priority. The ESRs will acquire the necessary skills to translate fundamental research into technologies that will have a strong positive effect on the care of patients with infectious diseases. ViBrANT science will be high-impact and deliver 15 highly-trained innovative researchers and a long-lasting inter-sectoral collaborative network. Together, we will continue to develop fundamental research and translate it for the socio-economic benefit of Europe.

Keywords: biosensors,lab on a chip,bacterial pathogens,viral pathogens,host pathogen adhesion,antimicrobial resistance and infection,microfluidics