Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
ADDitively manufactured limited angle torque MOTor for Smart Active Inceptors (ADDIMOT)

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: Spain
Call: Additive Manufacturing Magnetic Motor (H2020-CS2-CFP09-2018-02, 2018)
Start date: 2019-10-01
End date: 2022-03-31
Duration (months): 30.0
Total project cost (EUR): 806533.75
EU funding (EUR): 698659.38
Participants: 2
Project status: CLOSED

The main objective of ADDIMOT project is to investigate additive manufacturing (AM) technologies to design, and manufacture a new generation of electrical torque motors for their application in Smart Active Inceptors (SAIs). This new generation of motors shall demonstrate better performance than the traditional solution in terms of weight, power consumption, torque density, cost and compactness of the design. For this purpose, this main objective splits into the following technical objectives: • Investigation on the most suitable materials for additive manufacturing of electric motors, attending to soft and hard magnetic, electrical, mechanical and thermal properties. • Electromagnetic and mechanical design of the active parts of electric motors for smart active inceptors, mixing different materials and looking into new 3D geometries enabled by AM technology. • Comparison of new concepts of active components enabled by AM with traditionally manufactured parts. Evaluation of electric motor concepts using fully AMed parts, fully traditional manufacturing and hybrid (AM + traditional) manufacturing. • Electromagnetic and mechanical topology optimization of the evaluated electric motor concepts, in terms of weight, power consumption, torque density, cost and compactness of the design. • Development of manufacturing criteria for the AM of electric motor components. • Design and manufacture of three electric motor demonstrators using AM technology

Keywords: smart active inceptors,additive manufacturing,magnetic materials,limited angle torque motors,powder bed fusion pbf,selective laser melting slm
Interactive Digital Signage with emotional intelligence for smart cities (Totem Spoon)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-06-01
End date: 2019-11-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

SPooN is developing the next generation of interactive digital signage by creating a “humanlike” personal assistant called Totem Spoon located in places where people need welcoming or assistance. From connected cities to connected buildings, malls to museums, private or shared vehicles to public transports, each of these markets share one need: welcome people, exchange, assist, provide the relevant information, connect with the right service.

Keywords: emotional artificial intelligence smart cities
MachinE Learning Ledger Orchestration for Drug DiscoverY (MELLODDY)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Public-private partnerships
Destination: Innovative Medicines Initiative 2
Action type: Research and Innovation actions
Partnership: IMI2 (Art-187)
Countries involved: Germany,Germany,Germany,Germany,Germany,Belgium,Hungary,Switzerland,Switzerland,Belgium,Sweden,France,France,France,Netherlands,United Kingdom
Call: Development of a platform for federated and privacy-preserving machine learning in support of drug discovery (H2020-JTI-IMI2-2018-14-two-stage, 2018)
Start date: 2019-06-01
End date: 2022-05-31
Duration (months): 36.0
Total project cost (EUR): 18635465.0
EU funding (EUR): 8000000.0
Participants: 17
Project status: CLOSED

MELLODDY will demonstrate how the pharmaceutical industry can better leverage its data assets to virtualize the Drug Discovery (DD) process with world-leading Machine Learning (ML) technologies as an answer to the ever-increasing challenges and stricter regulatory requirements it is facing. The lack of a tested, secure and privacy-preserving platform for federated machine learning that enables pharmaceutical partners to extract DD-relevant information from all types of, not only their own but even each other’s competitive data, without mutual disclosure of the chemistry and biology each partner has worked on, has previously held back such demonstration, to the detriment of patients in the EU and beyond. MELLODDY’s ten pharmaceutical partners will enable this demonstration with an unprecedented volume of more than a billion highly private and competitive DD-relevant data points, and hundreds of Tbs of image data that annotate the biological effects of more than 10 million small molecules. The successful demonstration of the predictive benefits, i.e. increased predictive model performance and chemical applicability domain, of unlocking this data volume, while strictly preserving the privacy of all underlying data and the resulting predictive models, will shape best practices and translate into substantial efficiency gains in the DD process, and in the future, drug development. Finally, MELLODDY will prepare and exploit a service-for-fee vehicle to ensure the MELLODDY technologies are available to the rest of the pharmaceutical sector.

Keywords: federated learning,privacy by design,deep learning,distributed ledger technology,container orchestration,predictive models,drug discovery,activity prediction,adme prediction
Brexit and Deportations: towards a comprehensive and transnational understanding of a new system targeting EU citizens (BRAD)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-11-01
End date: 2020-10-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

With Brexit and the abandonment of the free movement and residence principle, the UK will define its new immigration policy concerning EU nationals. The new immigration policies will aim to control and circumscribe the mobility of the citizens of the EU member states, currently free to travel, live and work in the UK. They may also be returned or deported only under very specific circumstances. Following Brexit, those who will not comply with the new regulations will become deportable. The aim of the project is to research the implementation of the new UK deportation system concerning EU nationals. The fellow will propose a comprehensive approach to the UK deportation regime, taking into account its various components: (1) immigration policies, (2) agencies that enforce them, (3) public debate that accompanies changes in migration policies and their implementation, (4) migrants that become deportable and are deported, as well as (5) return migrants and stayers back in sending countries who consider migrating to the UK and who adjust their (im)mobility strategies according to, or resisting, migration policies. The project assumes that the deportation regime is a transnational phenomenon, since it concerns not only people in migrant-receiving countries, but also in migrant-sending counties. The research offers an analysis of the largest migrant group in the UK, the Poles. The case of the Polish migrants will offer an insight into how the transnational UK deportation regime becomes rooted among migrants and develops back in their hometown communities. The project draws upon interdisciplinary qualitative methodologies, including multi-sited ethnography, Critical Discourse Analysis of media, and legal analysis. Its outcomes will reach EU, UK and Polish policy makers, influential think tanks, the academic community and the general public.

Keywords: deportation,mobility,brexit,polish migrants,european union eu
Self-organization of the cilium: the role of the tubulin code (CiliaTubulinCode)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Molecules of Life: Biological Mechanisms, Structures and Functions
Panel description: Molecular biology, biochemistry, structural biology, molecular biophysics, synthetic and chemical biology, drug design, innovative methods and modelling
Countries involved: Germany,Italy
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-03-01
End date: 2024-10-31
Duration (months): 68.0
Total project cost (EUR): 1986406.0
EU funding (EUR): 1355537.5
Participants: 2
Project status: SIGNED

This project aims at understanding of the role of the tubulin code for self-organization of complex microtubule based structures. Cilia turn out to be the ideal structures for the proposed research. A cilium is a sophisticated cellular machine that self-organizes from many protein complexes. It plays motility, sensory, and signaling roles in most eukaryotic cells, and its malfunction causes pathologies. The assembly of the cilium requires intraflagellar transport (IFT), a specialized bidirectional motility process that is mediated by adaptor proteins and direction specific molecular motors. Work from my lab shows that anterograde and retrograde IFT make exclusive use of the B-tubules and A-tubules, respectively. This insight answered a long standing question and shows that functional differentiation of tubules exists and is important for IFT. Tubulin post-translational modifications (PTMs) contribute to a tubulin code, making microtubules suitable for specific functions. Mutation of tubulin-PTM enzymes can have dramatic effects on cilia function and assembly. However, we do not understand of the role of tubulin-PTMs in cilia. Therefore, I propose to address the hypotheses that the tubulin code contributes to regulating bidirectional IFT motility, and more generally, that the tubulin code is a key player in structuring complex cellular assembly processes in space and time. This proposal aims at (i) understanding if tubulin-PTMs are necessary and/or sufficient to regulate the bidirectionality of IFT (ii) examining how the tubulin code regulates the assembly of cilia and (iii) generating a high-resolution atlas of tubulin-PTMs and their respective enzymes. We will combine advanced techniques encompassing state-of-the-art cryo-electron tomography, biochemical imaging, fluorescent microscopy, and in vitro assays to achieve molecular and structural understanding of the role of the tubulin code in the self-organization of cilia and of microtubule based cellular structures.
A Markedness Account of Romance Clitic Systems (MARCS)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-01-01
End date: 2018-08-01
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

This project deals with Romance clitic pronouns, i.e. pronominal elements that i) cannot bear primary stress and ii) may have a strong counterpart occurring in a different syntactic position. The project aims to combine evidence from different empirical domains (historical linguistics, synchronic comparison of present day vernaculars, L1/L2 acquisition, pathology) to elaborate a markedness model accounting for the organization of Romance clitic systems. First of all, I will try to single out the factors that shape clitic inventories and constrain clitic syntax. These factors can be reduced to abstract parameters, i.e. binary choices with two possible values (positive/negative) dealing with the degree of markedness of syntactic, phonological and morphological structures. Parameters having a negative value act as filters preventing the occurrence of certain configurations across languages. Languages, however, tend to avoid such configurations by means of different repair strategies (Calabrese 2005), which in turn can be ranked according to a scale of markedness. This hypothesis (namely, a parametric account based on a markedness model with repairs) may provide a better account of the number of variants displayed by grammatical systems w.r.t. cliticization.

Keywords: clitics,markedness,romance,syntax,morphology,phonology,parameters
An integrated POC solution for non-invasive diagnosis and therapy monitoring of Heart Failure patients (KardiaTool)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: Research and Innovation actions
Countries involved: Ireland,Italy,Germany,Spain,Italy,Greece,Belgium,Greece,France,France,Netherlands,United States,United Kingdom
Call: Cross-cutting KETs for diagnostics at the point-of-care (H2020-NMBP-X-KET-2017, 2017)
Start date: 2017-11-01
End date: 2021-04-30
Duration (months): 42.0
Total project cost (EUR): 4999880.55
EU funding (EUR): 4999880.55
Participants: 17
Project status: CLOSED

The aim of the KardiaTool project is to translate a laboratory proven concept of a saliva biosensor to the clinical practice for addressing the priority needs in personalized HF diagnostics and therapy monitoring at the point of care. The KardiaTool platform includes: (i) An easy to use portable POC device (KardiaPOC) with a disposable Lab-on-a-Chip (LOC), for the non-invasive, rapid and accurate qualitative and quantitative assessment of HF biomarkers, from saliva samples. KardiaPOC device will integrate a variety of sensors, actuators, Microelectromechanical systems (MEMS), micro-electronics, bio-chemicals and functionalized magnetic nanoparticles (MNPs), onto a disposable, low cost LOC. (ii) A decision support software (KardiaSoft) based on predictive modelling techniques, that analyzes the POC data and other patient’s data, directly added by the healthcare professionals, and delivers information related to HF diagnosis and therapy monitoring. The innovation lays in the incorporation of four novel saliva biomarkers that have been proven in a laboratory setting and bring a new promising concept for addressing the priority needs of the clinical arena. KardiaPOC will provide the capability of simultaneously extracting key information from the saliva biomarkers: (i) NT-proBNP, (ii) TNF-a, (iii) Interleukin- 10, (iv) Cortisol. It is expected that identifying a comparable source to blood, for biomarker information, such as saliva, that is cost effective, less invasive, more convenient and acceptable for both patients and healthcare professionals would be beneficial for the healthcare community. The challenge of KardiaTool is: (i) to translate a laboratory proven concept of a saliva biosensor into an MNBS platform, for HF diagnostics and therapy monitoring, at the point of care, following GLP (ii) to validate the MNBS platform through pre-clinical and clinical testing following GCP and (iii) to industrialize the outcomes following GMP towards progress to marketization

Keywords: laboratory proven concept,saliva biomarkers,mems,point of care,mnbs,magnetic nanoparticles,lab on chip,diagnostics,therapy monitoring,heart failure
Pericyte-derived tumor stroma – a target for cancer therapy (PERICYTEStroma)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Sweden
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-01
End date: 2019-06-30
Duration (months): 24.0
Total project cost (EUR): 185857.2
EU funding (EUR): 185857.2
Participants: 1
Project status: CLOSED

Cancer is a devastating diagnosis since treatments to prevent a lethal outcome are limited. Tumor constitutes a complex tissue consisting of malignant cells and stromal cells. Emerging studies have shown the importance of stroma in tumor growth, invasion, and metastasis highlighting its potential as an attractive target for cancer therapy. However, the source of tumor stroma generating cells remains elusive. Generation of connective tissue is a general feature of scarring and fibrosis. While scarring is part of the wound healing response, fibrosis represents a failure to terminate tissue repair. In this context, tumors can be considered as “wounds that do not heal”. While studying spinal cord injury-induced scarring, a subpopulation of perivascular cells, type A pericytes, has been shown to be a major source of the stromal scar. Type A pericytes are embedded in the vascular wall but proliferate and leave blood vessels upon injury, differentiating into fibroblast-like cells that deposit extracellular matrix and form the stromal scar. Here, I propose to determine whether type A pericytes are a source of tumor stroma and whether blocking type A pericyte-derived stroma formation can impede cancer progression. Single cell studies to determine pericyte heterogeneity within malignant and non-malignant tissue will be performed. This characterization of heterogeneity is important to distinguish stroma-forming pericytes from the non-forming ones and from tumor cell-derived pericytes as described in Glioblastoma multiforme (GBM). Furthermore, by using combinations of pericyte reporter mice with genetic tools to manipulate pathways regulating cell proliferation and recruitment within specific pericyte subpopulations, I aim to investigate underlying mechanisms mediating pericyte-derived stroma generation. Studying stroma formation using the GBM mouse model, the proposed research intends to uncover common mechanisms of tumor stroma formation and identify new targets for therapy.

Keywords: pericytes,tumor stroma,glioblastoma,pericyte heterogeneity,angiogenesis
The Manufuture 2017 Conference (Manufuture2017)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Nanotechnologies
Action type: Coordination and support actions
Countries involved: Estonia,Belgium,Finland,United Kingdom
Call: Presidency events (H2020-NMBP-CSA-2016, 2016)
Start date: 2016-09-01
End date: 2018-03-31
Duration (months): 19.0
Total project cost (EUR): 600000.0
EU funding (EUR): 600000.0
Participants: 7
Project status: CLOSED

This project proposes to organise and hold the MANUFUTURE 2017 conference in Estonia during the Estonian Presidency. The conference will focus on the competencies and capabilities that EU companies should develop to move into higher value activities and to become globally competitive. Three major issues will be addressed in the sub-themes of the conference: energy and resource efficient manufacturing, digital manufacturing and collaborative technology innovation. The conference will also look at a number of cross-cutting issues: the development of skills, access to finance, the use of innovative business models and better regulation. This project will support the objectives of the Estonian Presidency as well as promoting the success of the European manufacturing sector.

Keywords: digital,energy and resource efficient,new business models,better regulation,innovation,value chain,manufacturing conference,access to finance,collaborative technology
A Theory-Oriented Real-Time Operating System for Temporally Sound Cyber-Physical Systems (TOROS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Germany
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 1499813.0
EU funding (EUR): 1499813.0
Participants: 1
Project status: SIGNED

The TOROS project targets the challenge of implementing safety-critical cyber-physical systems (CPSs) on commodity multicore processors such that their temporal correctness can be certified in a formal, trustworthy manner. While today it is in principle possible to construct a CPS in a temporally sound way, in practice this rarely happens because, with the current real-time foundations, the prerequisite investments in time, expertise, and resources are prohibitive. This situation is caused in large parts by three fundamental shortcomings in the design of state-of-the-art real-time operating systems (RTOSs) and the applicable timing analyses: (i) current RTOSs expose primarily low-level mechanisms that suffer from accidental unpredictability, i.e., mechanisms that require too much expertise to be used and composed in a temporally sound way; (ii) most analyses rely on idealized worst-case execution-time assumptions that realistically cannot be satisfied on commodity multicore platforms; and (iii) the available real-time theory depends on often complex and tedious proofs, and cannot always be trusted to be sound. As a result, formal timing analysis is rarely relied upon in the certification of CPSs in reality, and instead the use of ad-hoc, unsound "safety margins" prevails. The TOROS project seeks to close this gap by moving the RTOS closer to analysis, the analysis closer to reality, and by ensuring that the analysis can be trusted. Specifically, the TOROS project will 1. introduce a radically new, theory-oriented RTOS that by design ensures that the temporal behavior of any workload can be analyzed (even if the application developer is unaware of the relevant theory), 2. develop a matching novel timing analysis that allows for below-worst-case provisioning with analytically sound safety margins that yields meaningful probabilistic response-time guarantees, and 3. mechanize and verify all supporting timing analysis with the Coq proof assistant.