Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Modeling of partially spatially coherent distributed sources: derivation of an extended reciprocity theorem, creation of a numerical tool and experimental validation. (Coh2Shape)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-19
End date: 2021-09-18
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

Going up to infrared or optical frequencies, classical antenna technology fails due to the lack of efficient localized feeds. At such frequencies, emitters generally rely on distributed feeds. Each point of the extended source zone emits fields randomly, so that the total fields generated by the device are only partially spatially coherent. The partially spatially coherent aspect of the fields has received limited attention so far, especially in the engineering community. However, it is well known that the spatial coherence of the fields plays a key role in shaping and enhancing the radiation from thermal and electroluminescent sources. In this project, we propose a framework where the fields emitted by such sources are decomposed into an incoherent sum of fully coherent modes. During this project, we will develop a versatile open-source software that can simulate such devices using a full-wave integral equation method. This software can be used to study thermal or electroluminescent emitters of various geometries while rigorously accounting for the partial coherence of the fields. The software will be validated through experiments and shared with the community. Using the modal framework, an extended reciprocity theorem between the fields emitted by thermal or electroluminescent sources and the fields they absorb that includes the partially coherent aspect will be derived and validated through experiments. This project is expected to deeply impact the field since no such tool that can rigorously account for the partial coherence of the fields has been proposed so far. Moreover, the experimental characterization of emitters will be easier using the extended reciprocity. This project will be done in the University of Cambridge in collaboration with J.-J. Greffet (France) and C. Craeye (Belgium). Through this project, the researcher will develop skills in experimental research, which he is currently missing to reach an independent position.

Keywords: spatial coherence,thermal radiation,electroluminescence,reciprocity,beam shaping
Environmental Sustainability Engagement of Banks and Systemic Risk (SUSBANK)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Economic Sciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

The need for more socially and environmentally sustainable financial system has never been more crucial than it is at present. CSR is considered as a vehicle for achieving sustainable development of the business and the economy. Presently out of all CSR dimensions, climate and environmental issues have come out as the single prevalent negative externality. Since banks are the development partners of the rest of the economy, anti-environmental engagement could be harmful for bank reputation, earnings quality, and growth. Further, CEO compensation is strongly allied with excessive risk-taking in banks. Thus, as the banks are strongly interlinked, any adverse event could severely affect the banking system as a whole through spillover effects and thus increase the systemic risk. However, the Basel Committee on Banking Supervision has not yet addressed the environmental issues in its macroprudential regulatory framework. Nonetheless, in line with United Nations Environment Programme (UNEP) recommendations, the High-level Expert Group (HLEG) on sustainable finance (established by the European Commission) has argued to initiate a ‘climate-related financial disclosure’ or a ‘brown-penalising factor’ on banks’ capital requirements to address the environmental risk. To strengthen the UNEP and HLEG arguments, the proposed research aims to find empirical support for the explicit acknowledgment of environmental risk as an emerging source of systemic risk. The proposed research is expecting to contribute in several ways. Firstly, to our knowledge, this is the first effort to investigate the impact of environmental sustainability engagement of banks on their reputation, earnings quality, CEO compensation, long-term growth, and importantly on systemic risk. Secondly, the position of EU banks will be compared with other regional banks on the related issues. Thus, the findings will provide significant insights for the policymakers to set a common environmental regulatory benchmark.

Keywords: banking system,environmental disclosure,sustainability,reputation,earnings quality,growth,systemic risk,regulation
A search for new interactions at Belle II using leptons (InterLeptons)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Austria
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2020-11-01
End date: 2025-10-31
Duration (months): 60.0
Total project cost (EUR): 1486137.0
EU funding (EUR): 1486137.0
Participants: 1
Project status: SIGNED

Several measurements in the quark and in the lepton flavor sectors have shown anomalies with respect to the standard model expectations and are now referred to as flavor anomalies. The Belle II experiment at the Super-KEKB laboratory in Japan is collecting data by colliding beams of electrons and positrons. The aim of this proposal is to look for physics beyond the standard model at the Belle II experiment by a) searching for the direct production of new light particles, and b) looking for deviations from theoretical predictions when performing precision tests of the standard model. The team will analyse events with leptons and large missing energy in the final states and implement the most advanced analysis techniques including, for the first time, deep learning tools in the identification of signals at the Belle II experiment. First, we will search for invisible decays of a dark Z' boson, a hypothetical particle that might also explain the anomaly reported in the anomalous magnetic moment of the muon. Second, we will test with per mille precision lepton flavor universality by studying leptonic decays of the tau lepton and use the results to constrain new physics models such as those containing a lepton flavor violating Z' boson. Finally, we will search for new physics via lepton flavor violating decays of bottomonium resonances produced in initial state radiation events that, thanks also to an effective field theory approach, will allow us to interpret the search in terms of new physics mass scale and coupling constant, with an approach complementary to that of the LHC.

Keywords: new interactions,z boson,dark sector,lepton flavor universality violation,rare decays,bottomonium,b factory,flavor anomalies,new physics,tau lepton
ProLeMAS: PROcessing LEgal language in normative Multi-Agent Systems (ProLeMAS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Luxembourg
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-06-01
End date: 2017-05-31
Duration (months): 24.0
Total project cost (EUR): 160800.0
EU funding (EUR): 160800.0
Participants: 1
Project status: CLOSED

Existing technologies usually represent norms as formal rules involving deontic operators. Such a rule-based representation of norms is not suitable to handle real data. Norms emerge from laws via an interpretation process. The methodology of Normative Multi-agent Systems (NorMas) by prof. Boella and prof. van der Torre has been conceived to overcome these limits. Nevertheless, the current formalization of NorMas features two main limitations. Firstly, its models are based on deontic logic such as input/output logic. Deontic logic is typically propositional, i.e. its basic components are propositions connected by modal operators. A proposition basically refers to a whole sentence. On the other hand, natural language semantics includes a wide range of fine-grained intra-sentence linguistic phenomena: named entities, scope-sensitive operators, etc. It is then necessary to move beyond the propositional level, i.e. to enhance the expressivity of NorMas fit to formalize the meaning of the phrases constituting the sentences (noun phrases, verbal phrases, named entities, etc.). Secondly, NorMas has never been implemented and tested on real legal text. Currently, NorMas is only a promising logical theory, but it is time to see how it behaves on real data, in order to make it suitable for commercial applications. Drawing from my past experience in natural language semantics, parsing, and corpora building, I propose a project for extending NorMas in that sense, leading to ProLeMAS: (Processing Legal language in normative Multi-Agent Systems), a new logic for normative reasoning in multi-agent systems. In particular, the present project aims at (1) filling the gap between the current formalization of NorMas and the richness of natural language semantics (2) Implementing a pipeline from legal text to ProLeMAS formulae, passing through parsing and reasoning.

Keywords: normative multi agent system,legal text,natural language processing,natural language semantics,parsing,reasoning
CHallenges in Preservation of Structure (CHiPS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: Australia,Norway,Sweden,New Zealand,Norway,United Kingdom
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2015, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 387000.0
EU funding (EUR): 387000.0
Participants: 7
Project status: CLOSED

This research and innovation staff exchange programme builds on significant investments made by the national research councils of the European and Third countries involved to support basic research on the topic of structure preserving algorithms. In the last four years, we have established a very fruitful cooperation working on common projects, sharing knowledge and producing a high number of important new results, which already received considerable attention in the scientific community. In the proposed exchange programme we aim at a significant advancement of knowledge through transnational collaborations between the academic partners. We also plan for concrete and systematic activities to facilitate innovation in those fields of technology which can benefit from the research of this proposal. This project will facilitate the use of the produced mathematical results in the innovation of software tools. This will be pursued in collaboration with our non-academic partner MathWorks. We also propose a plan for career development of young researchers in a non-academic environment. We have identified a number of actions to maximize impact not only on the research community but also towards our local, national networks of small and medium enterprises.

Keywords: structure preserving algorithms,geometric numerical integration,image processing,symplectic integration of hamiltonian systems,discrete integrable systems,b series,highly oscillatory pdes
Coaches with hydrogen fuel cell powertrains for regional and long-distance passenger transport with energy optimized powertrains and cost optimized design – “CoacHyfied” (CoacHyfied)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Fuel Cells and Hydrogen
Action type: Innovation actions
Partnership: FCH2 (Art-187)
Countries involved: Germany,Austria,Germany,Germany,Türkiye,Latvia,Latvia,France,Netherlands,Netherlands,United Kingdom,Denmark
Call: Demonstration of FC Coaches for regional passenger transport (H2020-JTI-FCH-2020-1, 2020)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 7329180.25
EU funding (EUR): 4999441.75
Participants: 16
Project status: SIGNED

In the past, fuel cell (FC) systems have been successfully developed for city buses. No activities towards the development of coaches are known in Europe so far. The target of this project is both to carry the experience from the development of FC city bus systems one step further into the more challenging constraints of typical coaches as well as to strengthen the European vehicle manufacturing base and supply chain of hydrogen components. The project presents two coach solutions to solve the challenges of longer driving distances of regional and long-distance coaches (400-800 km), the more stringent packaging constraints, less favourable driving patterns (lower recuperation) and higher auxiliary powers (air conditioning & heating) and demonstrates the coaches at two regions in 2 to 3-year demo phases. The project is based on a coherent structure and balanced partnership, addresses all call specific requirements and aims for the highest benefits from a technological and market perspective: -both coach types being equally addressed by applying a common hybrid system concept and preparing for the development of FC drive system synergies, -comparing different and modular FC packaging concepts by the use of multiple and single FC units being tested in fulfilment of the 100 kW power requirement, -one set of coaches to develop an OEM-based new-built FC coach and another one an existing coach retrofit to also provide answers for the second life use of environmentally outdated coach chassis, -partnering with established FC manufacturers promising to reach the required 25,000 operating hours minimum, and validated in the project possibly with used stacks. -an experienced composite tank manufacturer to discuss the design option of potentially applying 350 bar and 700 bar technology for the coaches in fulfilment of targeting the required driving ranges at lowest costs and -experienced automotive system developers to search for operational minimum energy consumption patterns.

Keywords: coaches,regional coaches,long distance coaches,hydrogen,innovative business models,public transport,clean passenger transportation,hydrogen storage tanks
Improving Prognosis by using innovative methods to diAgnose Causes of Encephalitis (I-PACE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Netherlands
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-12-01
End date: 2026-11-30
Duration (months): 60.0
Total project cost (EUR): 1968996.0
EU funding (EUR): 1968996.0
Participants: 1
Project status: SIGNED

Background: Encephalitis is a severe inflammation of the brain that can be caused by viruses, bacteria and other microorganisms, or autoimmune disease. The impact is high: the case fatality rate is 10-20% and half of patients have neurological deficits. Identifying the cause of encephalitis is essential for early initiation of therapy and thereby improves outcome. The clinical challenge: Current diagnostics for encephalitis are insufficient. My prospective pilot study showed that the cause of encephalitis could be identified in only half of patients. Aim: The aim of I-PACE is to improve the cause-specific diagnosis of encephalitis using innovative diagnostic methods. Methods: I will use my encephalitis network of Dutch hospitals to study innovative diagnostic methods in 3000 patients with suspected encephalitis and validate the results in 2000 patients from Denmark, the UK and Zambia. I will collect clinical data, cerebrospinal fluid (CSF) and blood to enable state-of-the-art diagnostic studies and identify novel causes of encephalitis. First, I will perform virus discovery and DNA metagenomics sequencing to identify new infectious causes of encephalitis, combined with phage-display antibody sequencing. Second, I will perform CSF single cell gene expression studies to identify transcription patterns specific for the cause of encephalitis. Third, single cell immune profiling and anti-neuronal antibody detection assays will be used to identify new causes of autoimmune encephalitis. Finally, I will perform extensive metabolite and lipid analysis in the CSF to identify new biomarkers enabling a syndromic diagnosis to quickly differentiate between causes. Impact: With I-PACE I aim to increase the proportion of patients with a cause-specific diagnosis of encephalitis from 50% to 80%, facilitating direct and targeted treatment to improve the prognosis. I will discover novel causes of infectious and autoimmune encephalitis, and provide insights in its pathophysiology.

Keywords: encephalitis,cerebrospinal fluid,anti neuronal antibodies,lipidomics,metabolomics,immune profiling,phage display sequencing
Intelligent Sensor Enabled Eyewear (I-SEE)

Framework: Horizon 2020 — Societal Challenges
Action type: Innovation actions
Countries involved: Italy,Italy,Sweden,Netherlands
Call: Fast Track to Innovation Pilot (H2020-FTIPilot-2015-1, 2015)
Start date: 2016-07-01
End date: 2018-12-31
Duration (months): 30.0
Total project cost (EUR): 3504466.25
EU funding (EUR): 2593760.75
Participants: 7
Project status: CLOSED

The aim of the I-SEE project is to develop and launch in the market a new eyewear product line and a platform of services focused on improving the health care and wellbeing of eyeglasses wearers, by monitoring the viewing and living experience of the consumers and allowing eyeglasses to interact with smartphones, in-car telematics and professional devices of practitioners and opticians. The I-See products will be equipped with state-of-the-art electronics components and sensors, to collect and transmit information to consumers’ mobile apps as well as to professional solutions of eyecare specialists. The I-See project will leverage the market access and the vertical integration on the value chain of Luxottica, project coordinator and undisputed leader in the eyewear sector, to promote the I-See product line on the B2C consumer market, as well as the distinctive capabilities of the consortium partners in the electronics (SIGMA), SW (ALTEN), professional service (EY) and scientific (Fondazione Centro San Raffaele) fields, who will strengthen their B2B offer and positioning in the manufacturing industries impacted by the wearable trend. The project ambition is to launch the I-See product line in two year time on the global market, disclosing ultimate medical and social benefits to eyeglass wearers, becoming a model on how the European manufacturing and luxury industry can take advantage of the advent of the contamination of design products with technology components, avoiding to be disintermediated by the global digital American and Asiatic giants in the development of the new value added services and relationship with customers. The project will also have an important impact on the core business of the consortium participants, creating new job and economic opportunities in European Union.

Keywords: innovation,future of glasses,experience,sunglasses,fashion,smart glasses,big data,data cloud,wearable,well being,personal care,eyecare,eyewear
Smart thermostat èvolution (SMARTHE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: France
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-2-2016-2017, 2016)
Start date: 2016-08-01
End date: 2018-04-30
Duration (months): 21.0
Total project cost (EUR): 1691087.5
EU funding (EUR): 1183761.25
Participants: 1
Project status: TERMINATED

One of the main European challenges included in the 2020, 2030 and 2050 objectives and frameworks is the increase of energy efficiency. Buildings, responsible for 40% of total energy consumption play a major role. 60% of the energy consumed in households is for space heating. Up to 45% of the total energy spends can be saved by using wisely a thermostat. In this context, the European smart thermostats market is set to boom in the following years. Last year this market accounted for €242million with more than 1.1 million units sold. The very dynamic demand growth will lead to exponential growth of sales unit and revenue: in 2019 almost 13 million units will be sold which represents a revenue of €2.3 billion. QIVIVO is a French SME created in2012 specialized in connected solutions for energy consumption optimization. Qivivo is selling their thermostats since December 2013 (two versions already in the market). They are currently 20 employees with a strong technical and commercial background. Smarthé is the next generation of Qivivo Thermostat that gives an answer to the current market need of increasing energy efficiency in the residential sector. Its main features are: (i) 40% reduction in residential energy bills; (ii) compatible with gas, oil, wood, electric heating and heat pumps; (iii) capable of self- learning; (iv) remote control via a smartphone, tablet or computer; (v) smart sense function that anticipates the level of perceived comfort; and (vi) QiDiag function offers a 100% personalized diagnosis of strengths and weaknesses of the heating system and proposes the necessary renovations. Smarthé will represent the establishment of Qivivo as a reference in the French market and the internationalization at European level as our commercialization plan for the next 5 years includes the deployment of our solution in UK, the Netherlands, Germany and Scandinavia.

Keywords: buildings,residential,energy efficiency,heating,thermostat,cloud,energy management