Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Tilt Rotor Integrated Air Intake and Engine Protection Systems (TRIcEPS)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Austria,Austria,Austria,Germany,Czechia,United Kingdom
Call: Development of integrated engine air intake and protection systems for Tilt Rotor (H2020-CS2-CFP08-2018-01, 2018)
Start date: 2019-05-01
End date: 2023-10-31
Duration (months): 54.0
Total project cost (EUR): 3281251.75
EU funding (EUR): 2614290.0
Participants: 7
Project status: SIGNED

TRIcEPS aims at fulfilling all the requirements of the JTI-CS2-2018-CfP08-FRC-01-21, “Development of integrated engine air intake and protection systems for Tilt Rotor” by designing, manufacturing, testing and qualifying the air intakes and their integrated engine protection system for the NextGenCTR technology demonstrator, contributing to meet the goals of the CS2JU FRC WP1. The proposed engine protection system is geared on two key enabling technologies: • a removable thermoelectric ice protection system based on the heater layer technology. This is already under development on the blade of the NextGenCTR and on the wing of the regional aircraft; • a vortex tubes filter for protecting the engine from ingestion of particles in harsh environment. The air intake will be equipped with a bypass for operation in clean flow and a compressor washing system. The choice of a vortex tubes instead of a barrier filter is key in TRIcEPS. This solution, despite providing 1-to-2% lower particle separation efficiency, allows for: • full self-cleaning capabilities, thus not requiring maintenance (i.e. fit and forget approach); • stable pressure drop in brownout operation, resulting in no need of emergency bypass actuation which would expose the engine to the harsh environment; • significantly reduced icing issues; • easier flight certification path, according to FAA; resulting in the best technical compromise for the NextGenCTR considering its mission profile. Moreover, this choice does not to infringe IPRs on tilt rotor air intake (as per patenting activities by Bell Helicopters on barrier filter), thus securing the position of Leonardo with respect to the future market. TRIcEPS will deliver the air intake, its engine protection system and all the relevant sub-systems at TRL 7, supplying Leonardo with the reference technical solution for engine protection of the NextGenCTR, strengthening the competitiveness of the European rotorcraft industry.

Keywords: air intake,ice protection system,particle engine protection system,next generation civil tilt rotor
Stein’s method and functional inequalities in machine learning (Stein-ML)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: United States,Luxembourg
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-01
End date: 2023-11-30
Duration (months): 27.0
Total project cost (EUR): 186451.2
EU funding (EUR): 186451.2
Participants: 2
Project status: SIGNED

The project aims to develop quality measures for approximations in machine learning and statistics, using tools of probability and functional analysis, such as Stein's method and functional inequalities. Approximate inference techniques have been used in the recent years as a way to speed up the learning process, which is particularly important in the era of big data. It is, however, necessary for researchers to be able to measure the error of the associated approximations. Indeed, wrong variance or mean estimates in applications related, for instance, to modelling infectious diseases, may have highly negative outcomes. In this project, I will concentrate on three specific aspects of this problem. I will firstly propose tools for measuring the quality of posterior approximations in Gaussian Process inference. In order to do this, I will use the theory of Stein discrepancies which has already been successfully applied, in the context of Bayesian inference, to finite-dimensional distributions. I will combine it with the recent developments in probability theory related to Stein's method for infinite-dimensional measures. Secondly, I will construct a tool for a simultaneous study of the rate of convergence and the output quality of MCMC schemes based on discretising diffusion processes. Both those objects may be analysed using the infinitesimal generator of the underlying diffusion. Indeed, for the former we may apply the associated log-Sobolev or Poincare inequalities and, for the latter, utilise the associated Stein operator. The resulting tool will help users choose (or construct) an algorithm which is simultaneously fast and robust. Thirdly, I will construct a Gaussian-Process goodness-of-fit test, allowing users to test whether the given data come from a marginal of a particular GP. In order to do this, I will use infinite-dimensional Stein’s method together with techniques used recently to construct kernel goodness-of-fit tests based on Stein discrepancies.

Keywords: approximate bayesian inference,stein s method,gaussian processes,mcmc,goodness of fit tests,log sobolev inequality,poincare inequality,sdes,variational inference
Robust Lightweight Cardan Shaft (RLICS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Josef Hohn GmbH has longstanding experience as an original equipment manufacturer (OEM) for commercial vehicles including construction machines and agricultural machines and provides innovative and high-quality products to satisfy customers’ needs. Particularly cardan shafts which are part of the power train of automobiles are in the core of Hohn’s expertise. Environmental regulations controlling the vehicles’ emission of CO2 and air pollutants as well as the need to increase the vehicle’s payload have forced commercial vehicle manufacturers to explore new technologies, in particular lightweight construction. However, previous lightweight cardan shafts technologies for commercial vehicle were not ready for market due to either high costs or safety problems. RLICS, the innovation described in this proposal, is a radically new approach to constructing cardan shafts. Due to the innovative design as well as a result of simplifying the fabrication, the new product is approx. 30 % lighter than conventional cardan shafts, has an increased life time even under higher loads and can be produced at a cost of approximately 20 % below conventional fabrication costs. With RLICS, Hohn envisages to create a unique selling proposition for significantly increasing its market share in the segment of construction vehicles and agricultural machines and, for the first time, for entering the market segment of small trucks and buses (<7.5 tons). To unlock the exceptional market potential, activities to prepare commercialisation of RLICS are to assess suitable markets, increase customer involvement, validate the technological viability and finally to contrive a detailed business plan. Granted successful commercialisation, we expect a cumulative turnover of 45 million € related to RLICS and an increase of staff headcount of 75 by 2024.

Keywords: robust,lightweight,safety,durability,traffic,cardan shaft,material savings,cost savings,power train,comercial vehicle,sustainability
AI Accelerator – A Smart Hospital Care Pathway Engine (AICCELERATE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Italy,Germany,Spain,Spain,Italy,Austria,Germany,Italy,Finland,Finland,Türkiye,Belgium,Finland,Netherlands
Call: AI for the smart hospital of the future (H2020-DT-2020-1, 2020)
Start date: 2021-01-01
End date: 2024-04-30
Duration (months): 40.0
Total project cost (EUR): 10836086.25
EU funding (EUR): 9195162.0
Participants: 17
Project status: SIGNED

Healthcare systems lack flexible AI solutions that allow hospitals to improve efficiency and the quality of patient care. Current solutions provide limited scalability and are confined to isolated applications. Scalable models that address data sharing, integration, privacy, and ethics are needed to to ensure better adoption of AI in healthcare. The AICCELERATE project introduces an approach for scaling up AI-enabled digital solutions for different hospital use cases. AICCELERATE will develop partners’ existing digital solutions further to enable the development of a Smart Hospital Care Pathway (SHCP) Engine. This engine serves as a toolset for AI models and robotics to improve quality of care and health outcomes. It will also enable lean management and effective decision-making. These tools are tested in three pilots that (will) provide feedback for improving the SHCP Engine: (i) patient flow management for ER and surgical units, (ii) digital care pathway for Parkinson’s disease, and (iii) paediatric service delivery. AICCELERATE provides an adaptable model for varied clinical use cases to enhance patient-centric digital care pathways and to optimize patient flow management. Patient empowerment and evidence-based trust towards AI is a key part of the project. The pilots are carried out by 5 hospital partners: Helsinki Univ. Hospital and Oulu Univ. Hospital in Finland, Ospedale Pediatrico Bambino Gesù in Italy, Barcelona Children's Hospital in Spain, and Univ. hospital Università degli Studi di Padova in Italy. The other partners of the consortium consist of; Erasmus Univ. Rotterdam from Netherlands, a RTO Fundació Eurecat from Spain, a Spanish non-profit TICBioMed, 6 SMEs aiming to advance the digitalization of the European healthcare services: Chino from Italy, Symptoma from Austria, Nuromedia from Germany, SRDC from Turkey, Evondos from Finland, NeuroPath from Belgium, and 2 large enterprises NEC Laboratories Europe from Germany and Innofactor from Finland.

Keywords: parkinson s disease,parkinson s,pediatrics,artificial intelligence,machine learning,surgery,pre surgery,post surgery,discharge,patient flow,care pathway,robotics,optimisation
Single molecule imaging of transmembrane protein structure and function in their native state (TransPhorm)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: United Kingdom,United Kingdom
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-09-01
End date: 2022-11-30
Duration (months): 75.0
Total project cost (EUR): 2434650.0
EU funding (EUR): 1685360.55
Participants: 2
Project status: CLOSED

TransPhorm will pioneer a transformative technology platform based on Nitrogen Vacancy (NV) magnetometry to enable the structure and function of transmembrane proteins (TMPs) to be studied in their native state with unprecedented sensitivity and resolution. TMPs reside in the membrane of biological cells and are critical to cellular function and communication. It is essential that TMPs are characterised in their native state as their structure and function is dependent on their interaction with the local environment. This is technically demanding and despite previous attempts using a multitude of complementary techniques no single method has provided a suitable solution. Here a breakthrough approach will be taken to demonstrate in situ TMP characterisation with single molecule sensitivity, nanoscale spatial resolution and millisecond measurement speed. The concepts proposed in TransPhorm are distinct from current implementations of NV magnetometry for detection and mapping of weak magnetic fields originating from external nuclear spins. Here magnetic field mapping will be achieved using a totally new approach based on widefield, high speed structured illumination total internal reflection microscopy. The concepts TransPhorm are built on will also enable structural and functional single molecular characterisation with high specificity by exploiting the outstanding sensitivity to the local environment of fluorine-19 Nuclear Magnetic Resonance (NMR) reporters and the ion selectivity of sodium-23 and potassium-39 NMR spectroscopy. In short, TransPhorm will deliver a ground-breaking technology to far surpass current state-of-the-art techniques and provide the extreme sensitivity needed to understand the molecular scale dynamic changes that underpin TMP function. Overall the strategy and technologies proposed here will pave an untravelled path to the realisation of nanoscale NMR imaging and deliver tremendous scientific gains.
Modern Marronage? The Pursuit and Practice of Freedom in the Contemporary World (MMPPF)

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: United Kingdom,United Kingdom
Call: ERC Advanced Grant (ERC-2017-ADG, 2017)
Start date: 2018-10-01
End date: 2024-09-30
Duration (months): 72.0
Total project cost (EUR): 1847596.0
EU funding (EUR): 1847596.0
Participants: 2
Project status: SIGNED

Contemporary antislavery campaigners invoke the history of Atlantic World slavery to highlight the plight of 48 million people today living in exceptionally harsh circumstances, described as ‘modern slavery’. Yet in a world where many are oppressed and exploited, the lines between ‘modern slavery’ and other forms of drudgery, exclusion, and domination, are not easily drawn. Critics argue that the dominant discourse of ‘modern slavery’ relies upon a highly selective vision of injustice and suffering, and fails to consider or challenge the structural inequalities and systems of domination (race, caste, class, gender, age, nationality) that routinely restrict rights and freedoms. The proposed project retains a concern with the continuing significance of Atlantic World history, but upturns conventional discourse by interrogating the problem of freedom – as opposed to slavery - in the contemporary world. Through fieldwork in Brazil, Ghana, Italy, Portugal and the UK with groups that appear in dominant discourse as at risk of ‘modern slavery’, its key aims are: i) to revisit histories of marronage and other strategies by which enslaved and newly emancipated people sought to move closer to freedom in the Atlantic World historically, and ask what light they can shed on the perception, pursuit and practice of freedom by marginalized and rightless people in the Atlantic World today; ii) to use insights from this dialogue between past and present to contribute to theoretical debates on freedom, and its relation to agency, honour, gender, age, race, mobility, property, and personhood; iii) to work with research participants to co-produce counter-narratives to conventional antislavery stories of ‘modern slavery’, and, by communicating them through performance as well as text, encourage more nuanced popular and political debate on the contemporary meaning and practice of freedom.

Keywords: mobility,agency,freedom
Zero and ultra-low field nuclear magnetic resonance (ZULF)

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: Chemistry
Countries involved: Germany,Germany,Italy,Spain,Italy,Italy,Belgium,Switzerland,Poland,Poland,France,United States,United Kingdom,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2018-02-01
End date: 2022-07-31
Duration (months): 54.0
Total project cost (EUR): 2769371.28
EU funding (EUR): 2769371.2800000003
Participants: 16
Project status: CLOSED

Nuclear magnetic resonance (NMR) is a powerful technique employed in many areas of modern science and industry. While a seemingly indispensable element of NMR is a strong (>5 T) magnetic field, recent progress in physics and chemistry have enabled detection of NMR signals at ultra-low and truly zero magnetic fields. This completely reverses conditions under which spin-dynamics are investigated and gives access to information unavailable in conventional NMR. A secondary horizon is microscopic low-field magnetic sensors that probe NMR signals of a single molecule, and provide interesting information about molecular dynamics and structures not accessible with conventional NMR. The address of specific molecular sites is a step towards realizing single-molecule quantum information storage. In project ZULF, for the first time, we plan to connect experts of non-conventional NMR to create a network of zero- and ultra-low-field (ZULF) NMR science. We will gather and synergize scientists working on NMR J-spectroscopy, NMR hyperpolarization, ultra-precise and small-scale magnetometry to enhance the field and train a new generation of NMR researchers. Close collaboration with industry will address important challenges of modern NMR. Through frequent meetings, secondments, workshops, and a summer school the early-stage researchers (ESRs) will receive a unique training program on the most modern and advanced aspects of ZULF NMR that is unavailable in any current university course. The network covers a diverse range of projects aimed at bringing the technique to the next level, including spectrometer development, single-molecule detection, analytical chemistry, medical contrast agent imaging and exotic-physics searches.

Keywords: nuclear magnetic resonance,j spectroscopy,hyperpolarization,atomic magnetometry,nv center in diamonds
The Health Data Security Platform for EU Developers Enterprises (CHINO)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: SME instrument
Countries involved: Italy
Call: Engaging SMEs in security research and development (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-01-01
End date: 2017-06-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Digital health applications are disrupting the healthcare sector by bringing huge innovation and improving the quality of care. However, this innovation brings also some risks since those apps collect and store extremely privacy sensitive data in cloud and mobile environments. According to analysis performed by 39 Data Protection Authorities worldwide in 2014, 85% of the 1.211 analyzed mobile health apps do not comply with data protection laws and security requirements. This behavior puts at serious risk users’ privacy and trust in digital health. Chino helps application developers and enterprises to solve security and privacy law compliance issues by offering a secure platform to manage application users and how they access, store and share health sensitive data. Developers can easily integrate the Chino platform (its API) into their apps to ensure compliance, increase security, speed up application development, shorten time to market, at affordable pay-per-use cost. To ensure security of data transfers and storage Chino applies security-by-design principles and state-of-the-art security mechanisms. From compliance point of view, Chino terms of service define its liabilities and it ensures that the data management is performed according to EU and Member States laws. In addition, Chino is working on ISO 9001 & 27001 certifications, giving more guarantees to its customers. Thanks to its innovative services, the market opportunity, and the EC support (which will speed up the adequate team growth, marketing plan, technological roadmap implementation and international commercialization), the company expect to create over 46 high qualified jobs and generate a turnover over 10M€ by 2020. Furthermore, the overall results of this project will catapult Chino company as a global leader on the digital health & cyber security market.

Keywords: digital health,cloud computing,database,data security,cyber security,data protection,compliance,health applications
Precision stellar astrophysics and the distance scale with pulsating stars in the Gaia era (PRESTiGE)

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: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-12-01
End date: 2024-02-28
Duration (months): 24.0
Total project cost (EUR): 171473.28
EU funding (EUR): 171473.28
Participants: 1
Project status: SIGNED

Classical pulsating stars such as Cepheid and RR Lyrae are sensitive probes for both the stellar astrophysics and the cosmic distance scale. Cepheid variables play a vital role in calibrating extragalactic distance ladder to estimate the local value of the Hubble constant – present expansion rate of the Universe. The current Hubble constant measurement in the late evolutionary Universe based on the Cepheid-Supernovae distance ladder is significantly larger than the Planck mission results from the early Universe. This tension hints at possible new physics beyond the standard cosmological model and warrants a rigorous investigation of potential systematic uncertainties in Cepheid-based distance ladder. The proposed project will use state-of-the-art stellar pulsation models to compute and exploit an unprecedently fine grid of Cepheid and RR Lyrae models. These models together with future Gaia data-releases will be used to calibrate theoretical and empirical Period-Luminosity relations for Cepheid and RR Lyrae, and quantify residual systematic effects in the first-rung of the distance ladder and evaluate the significance of the Hubble tension problem. The project will employ modern computational methods for multiwavelength comparison between predicted and observed pulsation properties and full-amplitude light and velocity variations to constrain the mass-luminosity relations and helium to metal enrichment ratio followed by Cepheid and RR Lyrae stars with sub-percent precision for the first-time. These investigations will also discriminate and quantify the effects of poorly understood non-standard phenomena such as mass-loss, rotation or convective overshooting on input stellar physics to the pulsation codes, and thus imply strong constraints for the stellar evolutionary models. This project is of multidisciplinary nature with a strong transfer of knowledge between the applicant and the host researcher, and in line with the EU strategic plan for research and innovation.

Keywords: cepheid and rr lyrae variable stars,stellar pulsation and evolution,and cosmic distance scale