Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Lean innovative connected vessels (LINCOLN)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Cross-cutting marine and maritime research
Action type: Innovation actions
Countries involved: Germany,Spain,Italy,Spain,Italy,Italy,Italy,Cyprus,Norway,Greece,Norway,Norway,Greece
Call: High value-added specialised vessel concepts enabling more efficient servicing of emerging coastal and offshore activities (H2020-BG-2016-1, 2016)
Start date: 2016-10-01
End date: 2019-09-30
Duration (months): 36.0
Total project cost (EUR): 7808691.25
EU funding (EUR): 6343600.0
Participants: 17
Project status: CLOSED

LINCOLN presents three new concepts of added-value specialized vessels able to run requested services for several maritime sectors in the most effective, efficient, economic valuable and eco-friendly way. LINCOLN will develop three types of completely new vessels concepts at TRL5, through dynamic simulation model testing. The first is a Multi-platform Catamaran to serve as: Service crew vessel and Multipurpose survey vessel, optimized for Ocean energy and Aquaculture. It will develop a new people transfer system, able to improve safety during people transfer, it will have reduced operations costs and will be eco-friendly. The second is a Module Based High Speed Patrol Boat Platform, that is reconfigurable to adapt to the different operational requirements of Patrol and Security operators. Here LINCOLN will develop one platform, where different vessels can be designed for several markets, built as series production at low cost and it will enable the new “Vessel as a Service” business model. The third one is an Emergency Response and Recovery Vessels series for Coastal Rescue activities, with integrated electronics, IoT connectivity and an enhanced and low cost Integrated Dynamic Position System, which will help rescue operators during their activities and enhancing safety and security. All the three vessels will share the same design methodology. In fact, LINCOLN will be also a success story for the use of innovative design methodologies and tools in the marine sector. It will use: a lean fact based design model approach, which combines real operative data at sea with lean methodology, to support the development and implementation of the vessel concepts; IT customized tools to enable the acquisition and usage of field data, coming from an IoT platform; High Performance Computing Simulation. This new design approach will be demonstrated with the three vessels designed and delivered in the project and disseminated to bring back EU yards to the edge of innovation.

Keywords: iot technology,lean design,fact based design,smart vessels,multi platform vessels,multi purpose vessels,survey vessels,rescue vessels,patrol vessels,service crew vessels
The Power of Randomness and Continuity in Submodular Optimization (SUBMODULAR)

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: Israel
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2019-11-01
End date: 2025-10-31
Duration (months): 72.0
Total project cost (EUR): 1442690.0
EU funding (EUR): 1442690.0
Participants: 1
Project status: SIGNED

Submodularity is a fundamental mathematical notion that captures the concept of diminishing returns, and is prevalent in many areas of science and technology. From pollution detection and gang violence reduction, to active influence spreading in social networks (as recent controversial events suggest), submodular maximization directly affects multiple aspects of our daily lives. With a constantly growing number of real-world applications, it is no surprise that combinatorial maximization problems with a submodular objective have been the focus of intense theoretical and practical research for more than a decade. Unfortunately, many of the fundamental submodular maximization problems remain unresolved and lack fast and simple to implement algorithms that can be used in practice. A main reason for this state is that the current algorithmic toolkit used to solve submodular maximization problems is insufficient. This research proposal addresses the theoretical foundations of submodular maximization. Our overarching goal is to enrich the algorithmic toolkit and devise new algorithmic approaches that can be broadly applied to fundamental problems in submodular maximization and combinatorial optimization. A successful outcome of this research project will be a new theoretical algorithmic foundation for submodular maximization, that will enable us to completely resolve basic optimization problems and facilitate the design of fast and simple to implement algorithms that can be used in practice. The combination of the latter with ongoing practical research on the numerous uses of submodularity, could lead to a significant revolution in our ability to identify and solve the many real-world applications of submodular maximization.

Keywords: submodular,approximation algorithms,combinatorial optimization,randomized algorithms
Fibre optic nonlinear technologies (FONTE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Industrial Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,France,Netherlands,Denmark,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2018-06-01
End date: 2022-05-31
Duration (months): 48.0
Total project cost (EUR): 1081619.64
EU funding (EUR): 1081619.6400000001
Participants: 6
Project status: CLOSED

Fibre-optic communication systems form the backbone of the world’s communication infrastructure as they provide for lion fraction (more than 99%) of the global data traffic. The ongoing exponential growth in network traffic, however, is pushing current technology, whose data rates had increased over several decades, towards its limits. It is widely accepted that the nonlinear transmission effects in optical fibre are now a major limiting factor in modern fibre-optic communication systems. Nonlinear properties of the optical fibre medium limit the conventional techniques to increase capacity by simply increasing signal power. Most of the transmission technologies utilized today have been originally developed for linear (wired or wireless) communication channels. Over the past several decades, significant improvements in data rates were obtained by improvements and modifications within the overall linear transmission paradigm. However, there is much evidence that this trend is going to end within the next decade due to fibre nonlinearity. There is a clear need for radically different approaches to the coding, transmission, and processing of information that take the nonlinear properties of the optical fibre into account. This also requires education and training of a new generation of optical communication engineers and specialists with knowledge on nonlinear methods and techniques. The EID FONTE R&D goals will be focused on development of disruptive nonlinear techniques and approaches to fibre-optic communications beyond the limits of current technology. The project will make important innovative steps in development of the technique of the nonlinear Fourier transform (NFT) and its implementation in the practical communication systems. The R&D tasks will be carried out along with training of PhD students in the leading research centres in Europe with industry focused projects with 50% of time spent in the world leading telecom centre - Nokia Bell Labs Germany.

Keywords: fibre optic communications,optical networks,high capacity transmission,nonlinear signal processing,nonlinear transmission impairments
Mechanochemistry: a unique opportunity for oxygen isotopic labelling and NMR spectroscopy (MISOTOP)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: France
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-10-01
End date: 2024-12-31
Duration (months): 75.0
Total project cost (EUR): 1999836.0
EU funding (EUR): 1999836.0
Participants: 1
Project status: SIGNED

Oxygen is an element of major importance, due to its presence in the vast majority of molecules and materials. Over the years, much effort has been put into the development of analytical techniques allowing the study of oxygen environments, in view of elucidating key questions about the structure and reactivity of a variety of systems. In this context, Nuclear Magnetic Resonance (NMR) spectroscopy has been the focus of much attention, because it has progressively emerged as a technique capable of providing deep insight into the local structure around this atom. However, NMR spectroscopy is highly challenging for oxygen, mainly because the NMR-active isotope, oxygen-17, has a very low natural abundance (0.04%), and hence a very poor sensitivity. Because of this, the majority of 17O NMR studies require enriching the molecules and materials of interest in 17O. Unfortunately, 17O-labelling is simply unaffordable at the moment for most research groups, meaning that 17O NMR spectroscopy is inaccessible to the broad community, and still considered as an “exotic” tool of analysis. In this ERC project, the goal is to develop new rapid, user-friendly, and low-cost protocols for enriching a wide variety of organic and inorganic compounds in 17O by using mechanosynthesis. This original approach will then be taken as a unique opportunity (i) to push the current boundaries of 17O solid state NMR spectroscopy (by developing new tools for studying the structure of complex molecular and materials systems), and (ii) to elucidate major questions which could not be addressed so far, especially concerning reaction mechanisms between solids and the structure of interfaces of biological relevance. In doing so, the overall idea is to make 17O NMR spectroscopy become a more standard analytical tool used by a vast research community, including chemists, biologists and physicists.

Keywords: solid state nmr,17o nmr,mechanosynthesis,hybrid materials
The European regions network for Health Research and Innovation (RegHealth-RI)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Action type: Coordination and support actions
Countries involved: Italy,Spain,Belgium
Call: Bridging the divide in European health research and innovation (H2020-HCO-2014, 2014)
Start date: 2014-11-01
End date: 2016-10-31
Duration (months): 24.0
Total project cost (EUR): 475708.75
EU funding (EUR): 475708.75
Participants: 3
Project status: CLOSED

The European regions network for Health Research and Innovation (RegHealth-RI) project aims to contribute to three important Horizon 2020 goals, namely widening participation, bridging the innovation divide and developing synergies between Horizon 2020 and Structural Funds. To fulfill this objective the project plans the creation of a networking platform composed by relevant stakeholders to promote the dialogue between the actors involved in health Research and Innovation (R&I) in Europe. This network platform has as main goal to propose new initiatives and concrete actions primarily to EC and to national and regional decision-makers. The starting point of the project will be the analysis of the situation of health R&I in Europe, with special focus to less performed regions. The development of novel and specific indicators aimed at identifying those key factors and reasons underlying in the health R&I divide across EU regions is also addressed. Then, the organization of three Workshops and a European Conference to discuss on the divide of the health R&I in Europe have been also considered as relevant activities to achieve the objectives of the project by bringing feasible and effective solutions to the health R&I divide.

Keywords: health,research and development,innovation,european regions,ris3,smart specialization,regional policy
In the eye of the observer: Visual processing at the heart of the retina (switchBoard)

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: Life Sciences
Countries involved: Austria,Austria,Germany,Germany,Germany,Israel,Italy,Germany,Norway,Norway,Belgium,Switzerland,Netherlands,United Kingdom
Call: Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN) (H2020-MSCA-ITN-2015, 2015)
Start date: 2015-11-01
End date: 2019-10-31
Duration (months): 48.0
Total project cost (EUR): 3860554.41
EU funding (EUR): 3860554.35
Participants: 15
Project status: CLOSED

All visual information is broadcasted by an intra-retinal pathway formed by a group of neurons called bipolar cells. They collect photoreceptor signals in the outer retina and relay the signals to the inner retinal neurons. This transfer of visual information is far from passive: Each of the at least 10 bipolar cell types transforms the photoreceptor signals in a unique and highly specific way. As a result, the bipolar cell output signals form the first “elementary operations” from which the neural circuits of the inner retina compose a feature-oriented description of the visual world. Reflecting the partitioning of visual information into parallel channels, the retinal layer in which bipolar cell axon terminals meet their synaptic partners, is highly organized: This so-called “inner plexiform layer” effectively serves as the retina’s “switch board”: The input is provided by the different bipolar cell “channels”, while the output is carried by an even larger number of channels, represented by ganglion cells that form the optic nerve. Each of the ~20 ganglion cell types composes its feature-extracting circuits from a specific set of bipolar cell input it receives. Owing to its regular structure and ease of experimental access, the retina is amongst the best understood self-standing neuronal networks in neuroscience. Indeed, recent advances hold the exciting promise that an in-depth understanding of the bipolar cells – an entire class of neurons – and their role in the first critical steps of visual processing is within reach. Our proposal aims to train young researchers in world-leading research labs towards completing this goal. We will accomplish this by exposing the students to a host of cutting-edge techniques and a broad spectrum of research approaches within the training network – from imaging at synaptic resolution, transgenetics and retina degeneration models to the application of retinal circuit principles for signal processing in artificial vision chips.

Keywords: early visual system,retina,neuronal signal processing,neuronal projections,computational retina models,visual feature extraction,neurotechnology
Personalised Connected Care for Complex Chronic Patients (CONNECARE)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Health care provision and integrated care
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Israel,Spain,Spain,Netherlands,United Kingdom
Call: Advanced ICT systems and services for integrated care (H2020-PHC-2015-single-stage, 2015)
Start date: 2016-04-01
End date: 2019-12-31
Duration (months): 45.0
Total project cost (EUR): 4964188.75
EU funding (EUR): 4964188.75
Participants: 11
Project status: CLOSED

The ambition of the CONNECARE consortium is to co-design, develop, deploy, and evaluate a novel smart, adaptive integrated care system for chronic care management. This will save European healthcare organisations huge sums whilst improving patient outcomes. The consortium contains all the necessary partners to ensure success. Based on the concept of 4P medicine, CONNECARE will provide decision support for the adaptive management of personalised clinical pathways and will deliver tools to monitor patients’ activities and status, thus empowering them and providing them with recommendations to self-manage their condition, resulting in substantial improvements in their quality of life. The three dimensions underpinning the required proposed paradigm shift are: 1. Organisational: making health and social care systems interoperable, promoting collaboration among care settings, and moving from institutional reactive care to a home-based preventive model. 2. Care and social services: addressing health risk prediction by combining already operational population-based tools with a patient-based five-dimension scoring strategy consisting of i) screening, ii) risk stratification, iii) mapping, iv) intervention, and v) surveillance. 3. Technological: delivering a CONNECARE system which leverages existing assets from partners to offer smart Adaptive Case Management, self-management and 3-level monitoring features, fully integrated with management systems in place. An iterative patient-centred co-design process will ensure a progressive refinement of model and tools, providing foundations for adoption and transferability. In addition, clinical trials will be held in three leading-light regions in integrated care uptake –Catalonia, Israel, and Groningen – to evidence improvements in outcomes and efficiency. Consortium members are active in the EIP AHA B3 Action Group; transfer of results to relevant stakeholders across Europe, beyond the stakeholders in CONNECARE, is guaranteed.

Keywords: 4p medicine,patient empowerment,self management,activity monitoring,decision support systems
Cost-efficient, solid-state refrigeration technology for cold storage (SolidCool)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Belgium
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2018-02-01
End date: 2018-05-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Vapour compression (VC) technology, used in the vast majority of space cooling and food refrigeration applications, currently relies on synthetic refrigerants which are either ozone depleting substances or mixtures with global warming potential. For this reason, their use is being downsized by EUs F-gas legislation. There is an urgent need to either retrofit existing VC systems and replace banned refrigerants with natural fluids such as ammonia, carbon dioxide (CO2) or hydrocarbons (which are toxic, flammable or costly), or adopt new technologies. On top of that, not all natural refrigerants are suitable for cold storage applications in the range of 1-10kW, where an accurate temperature (T) control and reduced food weight loss is crucial for quality food preservation. CO2 vapour compression (CO2VC) is currently the best option even though it is not safe (CO2 leaks), not so precise in T control and food weight loss is noticeable. An alternative cooling technology that could replace CO2VC for this particular application could be state of the art solid-state technology if low power and high cost did not impede this technology to go mainstream. Integrate is a belgian start-up that has managed to avoid the use of refrigerant gases and overcome current technology (CO2VC and state of the art solid-state technology) limitations in cold storage applications by developing SolidCool. SolidCool is a solid-state solution that can be used for high-power applications with the benefits of presenting a high accurate T control, a minimum food weight loss, 50% less total cost of ownership, 40% lower price than CO2VC, and can function on solar energy. Given the need to phase out the use of pollutant refrigerant fluids, Integrate is capitalizing on an immediate, global opportunity for industries to adopt new technologies such as SolidCool and expects to make €19 million in cumulative profits and hire 60 new employees in 5 years from completion of the project.

Keywords: solid state,refrigeration,energy,energy efficiency
Precision Additive Metal Manufacturing (PAM^2)

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,Italy,Austria,Germany,Italy,Belgium,Netherlands,Netherlands,Denmark,United Kingdom,Denmark
Call: Innovative Training Networks (H2020-MSCA-ITN-2016, 2016)
Start date: 2016-12-01
End date: 2020-11-30
Duration (months): 48.0
Total project cost (EUR): 3896180.44
EU funding (EUR): 3896180.44
Participants: 13
Project status: CLOSED

Additive Manufacturing (AM) is a fast−growing sector with the ability to evoke a revolution in manufacturing due to its almost unlimited design freedom and its capability to produce personalised parts locally and with efficient material use. AM companies however still face technological challenges such as limited precision due to shrinkage and build−in stresses and limited process stability and robustness. Moreover often post−processing is needed due to the high roughness and remaining porosity. In addition qualified, trained personnel is hard to find. This ITN project will address both the technological and people challenges. To quality assure the parts produced, PAM² will, through a close collaboration between industry and academia, address each of the various process stages of AM with a view to implementing good precision engineering practice. To ensure the availability of trained personnel, ESRs will, next to their individual research and complementary skills training, be immersed in the whole AM production chain through hands−on workshops where they will design, model, fabricate, measure and assess a specific product. The expected impact of PAM² thus is: 1. The availability of intersectoral and interdisciplinary trained professionals in an industrial field that's very important for the future of Europe, both enhancing the ESR future career perspectives and advancing European industry. 2. The availability of high precision AM processes through improved layout rules with better use of AM possibilities, better modelling tools for first−time right processing, possibility for in−situ quality control ensuring process stability and, if still needed, optimised post−processing routes 3. As a result of 1: an increased market acceptance and penetration of AM. 4. Through the early involvement of European industry: a growing importance of the European industrial players in this fast−growing field. This will help Europe reach its target of 20% manufacturing share of GDP.

Keywords: additive manufacturing,metrology,precision,metal