Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
SiMAX - The Sign Language Avatar (SiMAX)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Austria
Call: Open Disruptive Innovation Scheme (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-09-01
End date: 2020-02-29
Duration (months): 30.0
Total project cost (EUR): 1563372.5
EU funding (EUR): 1094360.75
Participants: 1
Project status: CLOSED

The Austrian SME signtime has combined its expertise in sign language translation and ICT tool development delivering SiMAX, an innovative translation “machine” easy to use: A human translator only needs to adjust translations suggested by smart algorithms on a “learning” database. The result: A video showing an avatar signing. The process is flexible for future adaptations, less time and cost consuming than classical translation videos produced in a studio with human translators signing. Compared to other mostly academic sign language translation approaches SiMAX is closest to market and the only one reaching a feasible quality of facial expressions essential for understanding due to grammatical meanings in sign languages. Business opportunities are enormous associated with making information accessible to the deaf community: any digital content (for web publishing or other purposes), TV, film. Accessibility regulations favour market growth and demand. During the project SiMAX will be adapted to TRL 9 working as cloud solution and fine-tuned for mass-production. Pilot translations of citizen and consumer information (for public authorities and companies) will be carried out in Germany, UK, France and Poland together with translators, another important customer/partner group. We will further raise maximum attention for SiMAX translations in the deaf community and will inform key stakeholders and potential customers about SiMAX and its added values for them. A commercialization strategy for market entry across the EU will be prepared and evaluated within the project. The project fits with the requirements of this SME call, adding a completely new, market changing solution. SiMAX provides significant growth options to our company and perfectly fits with our overall strategy. Societally, it can essentially contribute to increase accessibility to information society for the deaf community thus contributing to inclusion and social cohesion in the EU.

Keywords: sign language,accessibility,barrier free,translation,avatar,television,media,internet,deafness,deaf
Transforming Brain Rehabilitation (FBT)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Israel
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-06-01
End date: 2019-12-17
Duration (months): 24.0
Total project cost (EUR): 182509.21
EU funding (EUR): 182509.2
Participants: 2
Project status: CLOSED

Multiple diseases, injuries, and aging, may lead to executive dysfunctions, reducing quality of life. Intendu transforms brain rehabilitation, by introducing a novel platform of video games designed to train executive functions (EF). The games involve natural body gestures, and are adaptive in real-time to performance. Preliminary results show that training with Intendu’s games is safe, leading to improved cognitive function. Robust evidence for the efficacy of Intendu’s training program and brain plasticity mechanisms driving functional benefits is required. During this fellowship, and under Dr. Son Preminger’s supervision, founder and CEO of Intendu; and of Drs. Debbie Rand and Doron Freidman, established researchers in virtual reality (VR), I will (1) receive a unique opportunity to combine my scientific passions – cognitive training and motor learning, video gaming and rehabilitation, basic and applied neuroscience – into one multidisciplinary, strongly founded field; (2) deepen my knowledge with executive functions; (3) broaden my experience with multiple clinical populations; (4) acquire regulatory and intellectual property legislation knowledge and experience; (5) grow my leadership skills; (6) gain working experience in a young startup. Building on these critical skills, and on my previous experience as a postdoctoral researcher at the University of California, Berkeley (UCB) and senior scientist at Posit Science Corporation (PSC), I hope to: (1) lead Intendu’s research with local and international collaborators; manage a network of external research partners; build and manage Intendu’s research team; (2) define scientific foundation for games with Intendu’s product team; (3) assure research funding; (4) work closely with regulatory consultants to manage regulatory affairs, to clear the program as the first motion-controlled software-based medical treatment for cognitive impairments. Together, this fellowship will open my best career possibilities.

Keywords: cognitive training,full body control,executive function,neuroplasticity
Machine learning for Advanced Gas turbine Injection SysTems to Enhance combustoR performance. (MAGISTER)

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: Information Science and Engineering
Countries involved: Germany,Germany,Germany,Germany,Switzerland,France,France,France,France,United States,Netherlands,Netherlands,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2017-09-01
End date: 2021-11-30
Duration (months): 51.0
Total project cost (EUR): 3873159.0
EU funding (EUR): 3873159.0
Participants: 17
Project status: CLOSED

Air transportation is expected to grow persistently over the next decades. Clean combustion technology for aircraft engines is a key enabler to reduce the impact of this growth on ecosystems and humans’ health. The vision for European aviation is shaped by the Advisory Council for Aviation Research and Innovation in Europe in the Flight Path 2050 goals, which define stringent regulations on pollutant emissions. To meet these goals, the major engine manufacturers develop lean premixed combustors operated at very high pressure. This development introduces a large risk for reduced reliability and lifetime of engines: pressure oscillations in the combustor called thermoacoustics. Much research has been dedicated to study this phenomenon over the last decades with mixed success. Industrial experience shows that the pressure oscillations often surface as late as the full engine has been built and tested. Traditional engineering methods fall short of predictability during the design of the engines due to a high sensitivity of thermoacoustics with respect to barely known input parameters. Aviation industry encounters currently the fourth industrial revolution: cyber-physical systems analyze and monitor technical systems and take automated decisions. This industrial revolution is known as “Industry 4.0” in Germany and “Industrial Internet” in the USA. An essential enabler of the fourth industrial revolution is Machine Learning. The ITN MAGISTER will utilize Machine Learning to predict and understand thermoacoustics in aircraft engine combustors, and lead combustion research a revolutionary new approach in this area. The participation of the major aircraft engine OEMs GE, Rolls Royce, Safran ensures industrial relevance and outreach of the results. The project will shape early career talents in a network of world leading scientists and industrial partners to work on one of the most severe design issues in aviation technology in the spirit of the fourth industrial revolution.

Keywords: aero engines,dynamics,instability,acoustics,combustion,liquid fuel spray,cfd modeling
Personalised Medicine by Predictive Modeling in Stroke for better Quality of Life (PRECISE4Q)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Methods and data
Action type: Research and Innovation actions
Countries involved: Austria,Spain,Estonia,Ireland,Germany,Germany,Spain,Germany,Germany,Switzerland,Sweden
Call: Personalised computer models and in-silico systems for well-being (H2020-SC1-2017-CNECT-2, 2017)
Start date: 2018-05-01
End date: 2022-10-31
Duration (months): 54.0
Total project cost (EUR): 5978245.0
EU funding (EUR): 5978245.0
Participants: 14
Project status: CLOSED

Stroke is one of the most severe medical problems with far-reaching public health and socio-economic impact, gathering momentum in an ageing society. PRECISE4Q sets out to minimise the burden of stroke for the individual and for society. It will create multi-dimensional data-driven predictive simulation computer models enabling – for the first time – personalised stroke treatment, addressing patient’s needs in four stages: prevention, acute treatment, rehabilitation and reintegration. Heterogeneous data from multidisciplinary sources will be integrated: genomics, microbiomics, biochemical; imaging including mechanistic biophysiological models of brain perfusion/function; social, lifestyle, gender; economic and worklife, requiring substantial efforts for information extraction, semantic labelling and standardisation. Novel hybrid model architectures, structured prediction models, complex deep-learning and gradient boosting models will form the Digital Stroke Patient Platform including a Stroke Risk CDSS (Clinical Decision Support System), Treatment Outcomes CDSS, Rehab Programme, Socio-Economic Planning Tool and New QvidLab. The decision support will be tailored to the patient's current life stage thus enabling clinicians to optimise prevention and treatment strategies over time, and will include personalised coping strategies, support of well-being and reintegration into social life and work. The predictive capability and clinical precision will be validated with real clinical data generated by (i) prospective clinical studies and (ii) retrospective analyses of big data sets: health registries, cohort studies, health insurance data, electronic health records. PRECISE4Q will have a clinically measurable and sustainable impact leading to better understanding of risk, health and resilience factors. In contrast to current schematic therapy guidelines, it will support patients throughout their life-long journey by personalised strategies for their specific needs.

Keywords: stroke,personalised medicine,health factors,risk factors,resilience factors,machine learning,mechanistic models,hybrid models,big data,data harmonisation,semantic integration,open science
Type Ia supernovae: from explosions to cosmology (SUPERSTARS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Ireland,United Kingdom
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-06-01
End date: 2024-11-30
Duration (months): 78.0
Total project cost (EUR): 1876496.0
EU funding (EUR): 1768506.3
Participants: 2
Project status: SIGNED

Type Ia supernovae (SNe Ia) are the incredibly luminous deaths of white dwarfs in binaries. They play a vital role in chemical enrichment, galaxy feedback, stellar evolution, and were instrumental in the discovery of dark energy. However, what are the progenitor systems of SNe Ia, and how they explode remains a mystery. My recent work has concluded the controversial result that there may be more than one way to produce SNe Ia. As SN Ia cosmology samples reach higher precision, understanding subtle differences in their properties becomes increasingly important. A surprising diversity in white-dwarf explosions has also been uncovered, with a much wider-than-expected range in luminosities, light-curve timescales and spectral properties. A key open question is ‘What explosion mechanisms result in normal SNe Ia compared to more exotic transients?’ My team will use novel early-time observations (within hours of explosion) of 100 SNe Ia in a volume-limited search (<75 Mpc). The targets will come from the ATLAS and Pan-STARRS surveys that will provide unprecedented sky coverage and cadence (>20000 square degrees, up to four times a night). These data will be combined with key progenitor diagnostics of each SN (companion interaction, circumstellar material, central density studies). The observed zoo of transients predicted to result from white-dwarf explosions (He-shell explosions, tidal-disruption events, violent mergers) will also be investigated, with the goal of constraining the mechanisms by which white dwarfs can explode. My access to ATLAS/Pan-STARRS and my previous experience puts me in a unique position to obtain ‘day-zero’ light curves, rapid spectroscopic follow-up, and late-time observations. The data will be analysed with detailed spectral modelling to unveil the progenitors and diversity of SNe Ia. This project is timely with the potential for significant breakthroughs to be made before the start of the next-generation ‘transient machine’, LSST in ~2021.
AQUA4D, for an efficient use of irrigation water (AQUA4D)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-09-01
End date: 2021-11-30
Duration (months): 27.0
Total project cost (EUR): 2039302.5
EU funding (EUR): 1427511.75
Participants: 1
Project status: CLOSED

Population growth, climate change and limitations of natural resources mean that agriculture must become more productive, efficient and environmentally sound. Within this need for improved agricultural production, irrigation plays a crucial role. However, there is a clear need for AgTEch solutions applied to irrigation systems in order to achieve sustainable agricultural practices, specially for large crops (cereals, oilseeds and pulses) which dominates the crops market. AQUA4D-HR is an innovative electromagnetic water treatment that allows an accurate modification of the irrigation water structure to optimize the irrigation process and achieve key benefits for water use, crops yield and soil quality. AQUA4D-HR is designed as a simple, cost-effective and environmentally friendly system suitable for large crops irrigation (cereals, oilseeds and pulses) in pivot irrigation systems (high water flow rates). AQUA4D-HR will achieve key benefits for large crops farmers: up to 25% water savings, up to 30% in fertilizer savings; up to 20% increased crop production and reduction of soil salinity and mineral crystallization in the rhizosfere, thus allowing a sustainable cultivation. Moreover, AQUA4D-HR will be affordable for end-users, with ROI < 3 years

Keywords: electromagnetic water treatment,irrigation,large crops,cereals,pivot irrigation systems
ATS Level Business Jet 2035 Forecast (FORJET2035)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Coordination and support actions
Partnership: CS2 (Art-187)
Countries involved: Italy,Poland,Hungary,Netherlands
Call: ATS Level business jet 2035 forecast (H2020-CS2-CFP05-2016-03, 2016)
Start date: 2017-09-11
End date: 2018-11-10
Duration (months): 14.0
Total project cost (EUR): 119945.0
EU funding (EUR): 119320.0
Participants: 4
Project status: CLOSED

The proposal addresses the topic: “ATS Level Business Jet 2035 forecast” (JTI-CS2-2016-CFP05-TE2-01-03) and it is devoted to perform forecasts for business jet traffic, in terms of fleet and movements starting from 2015, passing by 2020/2025/2030 until 2035, with a detail at country/region/world levels. Where gaps exist, an estimate will be made based on the methodology. More in detail the Technology Evaluator has requested: “The global fleet development and the share of European (Clean Sky) Aircraft” and “the development of movements per country and between Origin and Destination airports”. The overall objective of the project is: to analyse existing forecasts about volume and movements of Business jets in the relevant years, to establish a new forecast about bizjet fleet up to 2035 and the number of bizjet movements at country/region/world levels, to estimate the market share of European products in the market. Generally the forecast of business jet volumes depends on technology progress and the associated cost reductions, demand related to “Gross Domestic Product” development and accessibility. This means that the future of the bizjet transport also depends on developing new concepts of operation, aircraft concepts and business models and plans. After the assessment of the existing forecasts by different sources and CleanSky related actions and outcomes, the methodology of harmonization and improvement of the business jet forecast will be defined and finalized. The methodology based on a new dedicated demand equation will include: definition of the economic, technology and societal drivers, harmonized business models and business plan as well scenarios to create an improved forecast model. The outcomes will be completed in case of gaps and shared with the involved stakeholders and Clean Sky Topic Management. In this way, the forecasts will allow to make better characterisation of the measurable effects of technologies developed in CleanSky 2.

Keywords: forecast,business jet,airport,statistics,competitivness,demand modelling
The Memory of Solitons (MEMO)

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: Sweden,United Kingdom
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-02-01
End date: 2025-01-31
Duration (months): 60.0
Total project cost (EUR): 1491275.0
EU funding (EUR): 1491275.0
Participants: 2
Project status: SIGNED

Quantum field theory (QFT) is undoubtedly one of the most important achievements of modern theoretical physics, with broad applications ranging from condensed matter systems to elementary particle physics. Despite its successes, the current formulation of QFT is incomplete and we lack tools to address from first principles a wide variety of interesting physical systems, including the dynamics of quarks within protons, phase transitions, and high temperature superconductors. The present project aims at addressing this issue by establishing a novel, powerful and unconventional paradigm for QFT without relying upon the existence of a perturbative expansion. The cornerstone for such a paradigm is the following remark: in a wide variety of simple examples it is possible to compute exactly the values of several observables relying solely upon the knowledge of the spectrum of solitons of the given QFT. I call this effect the memory of solitons. My goal is to establish a research group that will develop and exploit the memory of solitons to study non-perturbative aspects of QFTs. The proposed strategy to approach this problem is twofold. On the one hand I focus on the simplest QFTs to develop my intuition on concrete and explicit examples: my laboratory consists of theories having supersymmetry and/or conformal symmetry where a plethora of exact results are available in the literature. On the other I exploit geometric engineering techniques in string theory, which gives access to the non-perturbative spectrum of QFTs from a completely different angle that allows exact computations to be performed, providing new insights into the mathematical structure of the theories involved. The combination of these techniques is so powerful that I have already obtained a wide variety of results that could not be derived by any other known method.

Keywords: non perturbative quantum field theory,solitons,string theory,geometric engineering,supersymmetry
How Language Oppresses (HaLO)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-04-01
End date: 2021-03-31
Duration (months): 24.0
Total project cost (EUR): 174806.4
EU funding (EUR): 174806.4
Participants: 1
Project status: CLOSED

Oppressive speech is speech that harms and disempowers its targets. It also seeks to influence third parties, changing their behaviour and attitudes towards targets, legitimating discrimination, creating implicit bias, and inciting to hatred and violence. The purpose is ultimately to change society: it’s not just doing unjust things with words, but it’s creating and maintaining unjust structures of social power. Oppressive speech is thus one of the most urgent social and political issues of our time. There is currently no simple, unifying framework that models oppressive speech or explains its many effects. The proposed research project seeks to address this gap through a multidisciplinary approach that combines the complementary strengths of game theory, and theories of social norms and social injustice. The core idea is that conversational games are embedded within a larger social game such that oppressive conversational games focus on the acquisition of power in the larger social game to achieve later payoffs. I hypothesise that game theory can be used to explain fundamental phenomena of interest in the context of oppressive speech: (i) the effects of oppressive speech within a conversation; (ii) the shifting of conversational and social norms that govern the conversational and social games; (iii) the motivation of some people to oppress others through speech and the role that speech plays in maintaining social injustice. The research objectives are three interlinked parts of a new model of oppressive speech: RO1 Deliver an initial model of oppressive speech as a conversational game that alters power. RO2 Deliver an extension of the model from RO1 that explains the harmful social effects on targets, by explaining how oppressive speech sets up unjust social norms. RO3 Deliver a model extending RO1 and RO2 that explains how unjust social structures affect speech, what motivates agents in a group to oppressive acts, and what is needed to change harmful norms.

Keywords: oppressive speech,game theory,conversational and social games,shifting social norms,structural oppression,social change,social and discourse roles,role assignment,accommodation,systemic injustice