Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Product Service Design and Manufacturing Intelligence Engineering Platform (Manutelligence)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Italy,Germany,Spain,Switzerland,Finland,Sweden,Finland
Call: Innovative Product-Service design using manufacturing intelligence (H2020-FoF-2014, 2014)
Start date: 2015-02-01
End date: 2018-01-31
Duration (months): 36.0
Total project cost (EUR): 4816510.0
EU funding (EUR): 4267735.0
Participants: 13
Project status: CLOSED

Manutelligence targets the product-service emerging trend; aiming at providing to EU manufacturing companies: - Efficiency in the design process, through ubiquitous cross-disciplinary collaborative management of P-S engineering knowledge across the entire life-cycle phases; - Complete integration of Product Lifecycle Management and Service Lifecycle Management, using methodologies and tools to support cross development; - Involvement of all the key partakers in the supply chain, including customers; - The ability to Search, retrieve and reuse data from heterogeneous data sources during design, manufacturing, testing and usage; - To manage, reuse and optimize designs, promoting modularity and Engineering Design Codified Knowledge, through KBE and design automation; - Close knowledge loop cycles between design, manufacturing, testing and use of products; - To extend and improve the use of Simulation and optimize it through comparison with test bench and real usage data; - Precise and quick measures and simulations of Cost and Sustainability issues, through Life Cycle Cost (LCC), Life Cycle Analysis (LCA) and CO2 footprint . To achieve these needs, ManuTelligence aims to integrate best in class methodology and tools from research and industry, resulting in a secure, cross disciplinary collaborative Product/Service Design and Manufacturing Engineering Platform. This platform will enable designers and engineers to access through natural 3D experiences to data from both the traditional enterprise IT systems (CAD, CAX, PLM, MES, etc.) and IoT enabled systems for physical products information and knowledge management. Such a platform, to have success on the market, needs to be inclusive, facilitating the cooperation and collaboration of enterprises. For this reason, it has been decided from the draft architecture, that it will have interfaces based on Open Standard (e.g. STEP and the OpenGroup QLM.

Keywords: product lifecycle management,service lifecycle management,3d experience
CLoud ARtificial Intelligence For pathologY (CLARIFY)

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: Spain,Spain,Norway,Netherlands,Netherlands
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2019-11-01
End date: 2024-02-29
Duration (months): 52.0
Total project cost (EUR): 3220753.32
EU funding (EUR): 3220753.3200000003
Participants: 9
Project status: SIGNED

Pathology has repeatedly been highlighted as being ripe for innovation in terms of workflow efficiency and more accurate diagnostics. In fact, the estimated market growth for digital pathology systems is huge, with the forecast to reach 143 million dollars by 2019 in the EU and 205 million dollars in the USA. Despite this boost in sales, diagnostic pathology in practice today is still a slow and cumbersome process that relies heavily on the subjective interpretation of a microscopic image by a qualified pathologist. This imposes a limitation, even more substantial in small pathology departments where the pathologists might not be specialized in particular areas. CLARIFY addresses the challenge to improve pathology departments’ workflow optimising current diagnosis and monitoring processes. With this purpose, CLARIFY’s scientific goal is to develop a robust automated digital diagnostic environment based on cutting-edge technologies (such as digital image processing, artificial intelligence, cloud computing, blockchain, etc.) to enhance knowledge sharing and reach better‐informed decisions. To achieve it, CLARIFY targets to deliver an innovative, multinational, multi-sectorial, and multidisciplinary research and training programme that link two highly differentiated specialities: engineering and medicine, with a focus on digital pathology. CLARIFY’s partnership gathers relevant scientific staff from academia, industry and hospitals, which will be involved in a high-level personalised training programme that will guarantee ESRs and future PhD students outstanding Career Opportunities. CLARIFY will disseminate results to a wide spectrum of stakeholders, create awareness in the general public about digital pathology and encourage careers related to this field among young students.

Keywords: digital pathology,machine learning,cloud computing,image processing,image retrieval,computer aided diagnosis,blockchain
Applying eye-tracking to investigate information uptake from co-speech gestures in online learning environments (EyeGestLearn)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Duration (months): 24.0
Total project cost (EUR): 183473.28
EU funding (EUR): 183473.28
Participants: 1
Project status: CLOSED

The overall objectives for this proposal are two-fold: 1) Learning new theories and methods with international recognized scientists to push forward the boundaries of the state of the art; 2) promoting to peers and public the insights and methodological advancements from the project with the scope of changing teaching methods in online learning. More precisely, the purpose of this MSCA-fellowship is to acquire expert level knowledge in second-language teaching and eye-tracking to investigate the cognitive effects of teachers' co-speech gestures on learning in an online learning environment where learners are not native English speakers. By tracking the students' eye movements and attention to teachers' co-speech hand gestures in the learning situation, I will gain unique understanding of how the learners attend to gestures and how the attention correlates with the uptake of new information. With the relevant guidance from the host organization both the progression and advancement of this proposal is in safe hands. The expertise of the supervisors in second-language teaching, speech analysis, educational psychology and eye-tracking will form an educational platform for myself to achieve my ambition of carrying this research proposal through. The objectives are relevant to the work program in two ways: 1) by maturing myself as a researcher to reach top international level with a solid international network; and 2) by working to create better learning materials and teaching skills in the massively expanding area of online learning (Massive Open Online Courses). In the grander picture, I work towards creating better learning opportunities for learners of all linguistic and socio-economical backgrounds.
Future Sky Safety (Future Sky Safety)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Germany,Ireland,Germany,Spain,Italy,Italy,Italy,Switzerland,Belgium,Romania,Sweden,Russian Federation,France,France,France,France,France,Czechia,Netherlands,United Kingdom,United Kingdom,Portugal,United Kingdom,Portugal
Call: Coordinated research and innovation actions targeting the highest levels of safety for European aviation (H2020-MG-2014_SingleStage_A, 2014)
Start date: 2015-01-01
End date: 2019-06-30
Duration (months): 54.0
Total project cost (EUR): 16270348.0
EU funding (EUR): 14882894.0
Participants: 37
Project status: CLOSED

The EC Flight Path 2050 vision aims to achieve the highest levels of safety to ensure that passengers and freight as well as the air transport system and its infrastructure are protected. However, trends in safety performance over the last decade indicate that the ACARE Vision 2020 safety goal of an 80% reduction of the accident rate is not being achieved. A stronger focus on safety is required. There is a need to start a Joint Research Programme (JRP) on Aviation Safety, aiming for Coordinated Safety Research as well as Safety Research Coordination. The proposed JRP Safety, established under coordination of EREA, is built on European safety priorities, around four main themes with each theme consisting of a small set of projects. Theme 1 (New solutions for today’s accidents) aims for breakthrough research with the purpose of enabling a direct, specific, significant risk reduction in the medium term. Theme 2 (Strengthening the capability to manage risk) conducts research on processes and technologies to enable the aviation system actors to achieve near-total control over the safety risk in the air transport system. Theme 3 (Building ultra-resilient systems and operators) conducts research on the improvement of Systems and the Human Operator with the specific aim to improve safety performance under unanticipated circumstances. Theme 4 (Building ultra-resilient vehicles), aims at reducing the effect of external hazards on the aerial vehicle integrity, as well as improving the safety of the cabin environment. To really connect and drive complementary Safety R&D (by EREA) to safety priorities as put forward in the EASA European Aviation Safety plan (EASp) and the EC ACARE Strategic Research and Innovation (RIA)Agenda, Safety Research Coordination activities are proposed. Focus on key priorities that impact the safety level most will significantly increase the leverage effect of the complementary safety Research and Innovation actions planned and performed by EREA.

Keywords: aviation safety,breakthrough safety research,safety research coordination,managing risks,aircraft fire safety,organizational safety,human performance,resilient systems and operators
Boron-boron multiple bonding (multiBB)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Synthetic Chemistry and Materials
Panel description: New materials and new synthetic approaches, structure-properties relations, solid state chemistry, molecular architecture, organic chemistry
Countries involved: Germany
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2016-05-01
End date: 2021-04-30
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

Multiple bonding between atoms is immensely important to chemistry, biology, physics and their associated industries; multiple bonds are both ubiquitous in everyday products and extremely useful functionalities for effecting chemical transformations. While very common with the elements carbon, nitrogen and oxygen, multiple bonding is in comparison extremely rare with other elements. Multiple bonding between heavier elements of the main group of the periodic table becomes less favourable the heavier the element becomes. However, this does not explain the relative paucity of multiple bonding with boron, which is immediately to carbon's left on the periodic table. In particular, isolable, stable compounds containing multiple bonds between two boron atoms are extremely rare, and until 2007 only a handful of charged examples existed. A revolution in this field has recently been witnessed with the syntheses of the first neutral compounds with boron-boron double bonds, diborenes, and the first compounds with boron-boron triple bonds, diborynes. The first neutral diborenes were prepared in 2007, however, we have recently developed a number of rational, selective and more general routes to these compounds. The first diboryne compounds were prepared by our group in 2012. The significance of these two families of molecules is not only their unusual multiple bonding but also the extremely high electron density on the boron atoms, an unusual situation for an element that is known for its electron-poor character. This high electron density leads to strong boron-based nucleophilicity and extremely high reduction potentials – both highly novel phenomena. This proposal aims to: (A) comprehensively explore the syntheses of these unique compounds and the limits thereof, and to (B) exploit the unusual reactivity of these electron-rich boron molecules in synthesis, small-molecule activation and materials science.

Keywords: main group chemistry,boron chemistry,inorganic synthesis,multiple bonds
Future bio-pesticides for EU: unlocking the code of Saponin Structure-Activity Relationships for use in pest management (SSAR)

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: Denmark
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2016-03-01
End date: 2018-05-04
Duration (months): 24.0
Total project cost (EUR): 212194.8
EU funding (EUR): 212194.8
Participants: 1
Project status: CLOSED

Insect pests are very damaging to worldwide food production, and there is a great demand for new environmentally-friendly bio-pesticides. Saponins are a structurally diverse class of naturally occurring plant defense compounds that are a promising resource for novel and more sustainable pesticides. Due to their detergent-like properties, saponins can disrupt the cell membranes of herbivory pests, cause cell death, and ultimately kill them. Despite the promising potential of saponins as bio-pesticides, little is yet known about which saponin chemical structures are toxic to which specific pest. The SSAR project aims to elucidate the relationship between saponin chemical structures and their biological activities and evolution. First, the genes involved in the biosynthetic pathway of saponins will be identified. Then desired or novel saponins will be produced in plant tissues through metabolic engineering with the identified genes. Finally, purified saponins will be used in bioassays with a range of pest species, to unlock the code of exactly which saponin chemical structures have a given specific biological activity. The new knowledge gained will have great industrial application potential as a generic platform for the production of bioactive compounds from plants and their use for bio-pesticides as an alternative to chemically produced pesticides. The new bio-pesticides will both help to meet society’s need for more sustainable food production and to contribute to the development of the knowledge based bio-economy. Identification of genes involved in saponin biosynthetic pathway will also open the possibility to engineer and breed crop with tailored saponin-based pest resistance capabilities. The SSAR will allow me to develop as an independent and mature researcher, and extend my expertise in both academic and non-academic sectors through the training in the host institution and the collaboration with a bio-pesticide and generic agrochemicals innovative company.

Keywords: metabolic engineering,plant defense,evolution,structure activity relationships,triterpenes
An Exascale Hyperbolic PDE Engine (ExaHyPE)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: High Performance Computing
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Italy,Russian Federation,United Kingdom
Call: HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications (H2020-FETHPC-2014, 2014)
Start date: 2015-10-01
End date: 2019-09-30
Duration (months): 48.0
Total project cost (EUR): 2872500.0
EU funding (EUR): 2795000.0
Participants: 7
Project status: CLOSED

Many aspects of our life, but also cutting-edge research questions, hinge on the solution of large systems of partial differential equations expressing conservation laws. Such equations are solved to compute accurate weather forecast, complex earthquake physics, hematic flows in patients, or the most catastrophic events in the universe. Yet, our ability to exploit the predictive power of these models is still severely limited by the computational costs of their solution. Thus, the simulation of earthquakes and their induced hazards is not yet accurate enough to prevent human losses. And our ability to model astrophysical objects is still insufficient to explain our observations. While exascale supercomputers promise the performance to tackle such problems, current numerical methods are either too expensive, because not sufficiently accurate, or too inefficient, because unable to exploit the latest supercomputing hardware. Exascale software needs to be redesigned to meet the disruptive hardware changes caused by severe constraints in energy consumption. We thus develop a new exascale hyperbolic simulation engine based on high-order communication-avoiding Finite-Volume/Discontinuous-Galerkin schemes yielding high computational efficiency. We utilize structured, spacetree grids that offer dynamic adaptivity in space and time at low memory footprint. And we consequently optimise all compute kernels to minimise energy consumption and exploit inherent fault-tolerance properties of the numerical method. As a general hyperbolic solver, the exascale engine will drive research in diverse areas and relieve scientist from the burden of developing robust and efficient exascale codes. Its development is driven by precise scientific goals, addressing grand challenges in geo- and astrophysics, such as the dynamic rupture processes and subsequent regional seismic wave propagation, or the modeling of relativistic plasmas in the collision of compact stars and explosive phenomena.

Keywords: hyperbolic systems of partial differential equations,adaptive mesh refinement,dynamic load balancing,seismic hazard estimation,binary neutron stars,relativistic magneto hydrodynamics
Governance of the Interoperability Framework for Rail and Intermodal Mobility (GoF4R)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: European rail initiative
Action type: Coordination and support actions
Partnership: Shift2Rail (Art-187)
Countries involved: Spain,Italy,Italy,Italy,Belgium,Slovakia,Belgium,Finland,France,France,Czechia,Czechia,United Kingdom,United Kingdom
Call: Interoperability Framework governance, ensuring its market uptake and sustainability (H2020-S2RJU-OC-2016-01-2, 2016)
Start date: 2016-11-01
End date: 2018-10-31
Duration (months): 24.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 17
Project status: CLOSED

The establishment of good governance will effectively secure the confidence of the industry to use the Interoperability Framework (IF) semantic technologies that will be established under the IP4 Shift2Rail program. The objective of the Governance of the IF for Rail and Intermodal Mobility (GoF4R) project is to define sustainable governance for the IF that will create the right conditions to introduce seamless mobility services and foster the development of multi-modal travel services. GoF4R will help to overcome obstacles currently impeding development of market innovation by fostering a large acceptance of the “semantic web for transportation.” The objectives will be achieved through a partnership of specialist participants including research institutions, a major European rail operator, industry associations representing the passenger and multi-modal transport sectors and public transportation authorities. Participants, who are also involved in the consortium of designers for the IF, will focus on the establishment of sustainable governance that will promote community confidence. The governance structure will create the basis for long term stability and controlled future evolution of the IF, promoting industry confidence so that it is attractive to invest in future products and services. The project encompasses all current and future stakeholders who will exploit the IF as described in the Shift2Rail Multi Annual Action Plan, contributing to the realisation of a distributed semantic “web of transport” integrating the TAP-TSI specifications as one of its elements. The governance models proposed in GoF4R will assure the interests of European travellers by fostering market uptake by mobility service providers. It will facilitate new business opportunities for improved mobility and travel related services and improve the incorporation of new stakeholders in the European arena by removing technological, administrative and economic boundaries.

Keywords: governance,interoperability framework,semantic web,mobility services,tap tsi,it2rail,multi modal marketplace,semantic web of transportation,travel companion,sustainability