Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Fundamentals of Design Competence for Our Digital Future (DCODE)

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: Social Sciences and Humanities
Countries involved: Sweden,Latvia,Netherlands,Netherlands,Netherlands,Denmark,Denmark,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 4206200.4
EU funding (EUR): 4206200.4
Participants: 8
Project status: SIGNED

A fundamentally new kind of design competence is needed to anticipate the digital transformation of society and create the conditions for responsible and sustainable futures. For this, D-CoDE will train a cohort of 15 PhD students in design, design anthropology, media studies, science and technology studies and data science, and equip them with the holistic understanding needed for the human-centric design of product service systems powered by Big Data, Machine Learning and Artificial Intelligence. New foundations for design will require the interdisciplinary integration of five key research challenges identified in both engineering and the social sciences: (1) anthropological study and principled engineering of algorithms as foundation for shaping digital futures; (2) design of personally meaningful and socially appropriate forms of interaction with and across decentralised systems; (3) inclusive approaches to value creation in designing data-driven products, services and business models; (4) principles and mechanisms for public deliberation and governance of data flows across systems; (5) future design practices upholding anticipatory, deliberative and responsive innovation approaches. To foster this holistic understanding – and the integration of knowledge across disciplines it requires – D-CoDE introduces a post-disciplinary mode of working called ‘prototeams’: teams of PhD students working in real-world contexts to develop and prototype future professional design roles and practices, including the scientific knowledge needed to support them. As these research challenges require both deep disciplinary expertise and knowledge that cuts across sectors, D-CoDE brings together an exceptional team of internationally leading researchers in the required subject areas, and non-academic partners that bring societal, economic and political practice to the project and provide multiple forums for the dissemination of knowledge, results and best practices.

Keywords: responsible research and innovation,human centric artificial intelligence,digital transformations of society,sustainable design futures,post disciplinarity
Challenges and Advancements in Virtual Elements (CAVE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Italy
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-07-01
End date: 2021-06-30
Duration (months): 60.0
Total project cost (EUR): 980634.0
EU funding (EUR): 980634.0
Participants: 1
Project status: CLOSED

The Virtual Element Method (VEM) is a novel technology for the discretization of partial differential equations (PDEs), that shares the same variational background as the Finite Element Method. First but not only, the VEM responds to the strongly increasing interest in using general polyhedral and polygonal meshes in the approximation of PDEs without the limit of using tetrahedral or hexahedral grids. By avoiding the explicit integration of the shape functions that span the discrete space and introducing an innovative construction of the stiffness matrixes, the VEM acquires very interesting properties and advantages with respect to more standard Galerkin methods, yet still keeping the same coding complexity. For instance, the VEM easily allows for polygonal/polyhedral meshes (even non-conforming) with non-convex elements and possibly with curved faces; it allows for discrete spaces of arbitrary C^k regularity on unstructured meshes. The main scope of the project is to address the recent theoretical challenges posed by VEM and to assess whether this promising technology can achieve a breakthrough in applications. First, the theoretical and computational foundations of VEM will be made stronger. A deeper theoretical insight, supported by a wider numerical experience on benchmark problems, will be developed to gain a better understanding of the method's potentials and set the foundations for more applicative purposes. Second, we will focus our attention on two tough and up-to-date problems of practical interest: large deformation elasticity (where VEM can yield a dramatically more efficient handling of material inclusions, meshing of the domain and grid adaptivity, plus a much stronger robustness with respect to large grid distortions) and the cardiac bidomain model (where VEM can lead to a more accurate domain approximation through MRI data, a flexible refinement/de-refinement procedure along the propagation front, to an exact satisfaction of conservation laws).

Keywords: 65nxx,partial differential equations,boundary value problems
Crowdsourcing platform for open city innovation challenges (LIVECITIES)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-05-01
End date: 2018-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

A Vision for Europe - The Three Os - Open Innovation 2.0 - Is a new paradigm based on a Quadruple Helix Model where government, industry, academia and civil participants work together to co-create the future and drive structural changes far beyond the scope of what any organization or person could do alone. The European Commission recognized that Open Innovation - a relatively new term coined by our chief advisor Henry Chesbrough - is an important component of the future European Innovation System, where all stakeholders need to be involved and create seamless interaction and mash-up for ideas in a single innovation ecosystems. LiveCities is an Open Innovation 2.0 crowdsourcing platform for city’s’ and citizens currently being used for open city innovation challenges by three main pilot clients. LiveCities is based on user-centric principles aiming to boost Digital innovation design and co-creation. As the Open Innovation market is recently created and quite fragmented both in terms of outcomes and players, is difficult to estimate the size of the entire market. The strongest data we could find measures the market size for support services and consulting for open innovation (based on interviewing Open Innovation Accelerators). This market was already €2.7 billion in 2013 and doubled to €5.5 billion by 2015. We have already attracted participants from the all the stakeholder groups, such as local universities, urban citizens, companies and government. For market entrance, we plan to rely in the European Network of Living Labs including active members in 20 Member States and in 5 continents. At 8WIRES we create the best conditions for collaboration between people and technology to reach higher goals. During Phase 1, we will run a technological feasibility study, assess the market particularities, validate the business model (1. freemium and 2. customized applications for closed innovation groups), evaluate the risks and create an IP plan.

Keywords: open innovation,crowdsourcing,open source,smart cities,open innovation at city level,digital innovation design,co creation
PreciSen, the next generation of position sensing technology (PreciSen)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-05-01
End date: 2018-09-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Encoder Manufacturers are developing and selling highly specialized products for applications in specific industries, which limits their economy of scale. New applications need utmost challenging features, which can't be implemented with the State-Of-the-Art (SOA) encoder technologies. Encoder producers and encoder-user-OEMs are facing difficulties to answer the market needs and to develop their next generation of products. By applying a new paradigm in the encoder industry, our product, PreciSen will be the only multi-dimensional, absolute, high-speed, industrial position sensor technology on the market, offering not only lower-cost, higher-performance replacement of many of the existing encoder sensors, but also solutions for new market needs, which are beyond the scope of SOA encoders. Due to its generic nature it provides one-fit-all solutions for encoder manufacturers and encoder user OEMs worldwide and can be produced in much larger quantities than the competing products. PreciSen currently is at TRL-7 level. Targeted users are encoder providers and original equipment manufacturers, who need innovative position sensing solutions for their next generation of products. The Key Market Application will be the PreciSen encoder module. The overall market (TAM) is global (€6,200M), the initial market segment is Europe, with expansion potential to the whole world. In Phase 1 focus will be on a technical viability check covering the feasibility of the current-mode operation of the novel pixel array, the obtainable signal-to-noise ratio, the power consumption and chip area budget of the high-speed vector processing, predictor stage and post-processing; market survey to support our market concept and conducting an FTO analysis. Project plan of Phase 2 and a detailed business plan will also be elaborated. The TRL-9 level product is being planned to be elaborated in the frame of Phase 2, which estimated cost is €1,900,000.

Keywords: optical absolute encoder,nanometer precision,6dof contactless position sensing,large mounting tolerances,miniature,low cost,high speed,fault tolerance,safety sil,sub um accuracy
Bioreactive food expiry label that mimics the actual decay of food for a reliable and accurate method of reducing food waste (Mimica Touch)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-06-01
End date: 2018-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Current printed expiry dates are inaccurate and conservative estimates, which can’t predict the condition that the food product is exposed to. This results in 33% of all food being wasted (1.2 billion tonnes). Of this food 60% is still edible and was disposed of prematurely. Food waste also causes 1.6 billion tonnes of greenhouse gases, wastage of 40-50% of drinking water and many retailers and consumers to spend excess money on wasted food. Mimica Touch is a tactile freshness indicator and food expiry label that uses specifically designed gelatine to accurately mimic the decay rate of food. The gel is exposed to both the same conditions as the food and the off-gases emitted from expiring food, thus giving a real-time indication of the product’s freshness. The gelatine is specifically calibrated to experience and mimic each food product’s decay. It offers many benefits: Low-cost, accurate solution; Food waste reduction; Increased food safety; Valorises waste material; Improved social inclusion; and Applicable in a wide range of uses and industries. Mimica Touch is the only tactile food expiration indicator that is biologically active, resulting in an unrivalled accuracy. Not only can it significantly reduce food waste but also offers and increase to profits and savings for all stakeholders. Mimica resides in the UK, where the technology was first developed and where significant links with customers and users of the solution have been secured. Within the project, Mimica intend to hire personnel to identify commercial partnerships and possible clients throughout Europe. Mimica foresee future employment growth of 32 jobs in the early stages of commercialisation. The proposed work in Phase 1 of the SME instrument fits into the overall plan to reach market by contributing the financial resources needed for a fast, sound & wider deployment of the bioreactive food expiry label & the market uptake.

Keywords: food,food expiry,waste reduction,food waste,supply chain integrity
Enhancing innovation management capacity of SMEs in the Netherlands in 2019 (INMANCAP_2019)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Netherlands,Netherlands
Call: EEN H2020 SGA3 (H2020-EEN-SGA3-2018, 2018)
Start date: 2019-01-01
End date: 2019-12-31
Duration (months): 12.0
Total project cost (EUR): 478177.5
EU funding (EUR): 478177.5
Participants: 2
Project status: CLOSED

The overall objectives of the project are to deliver services designed to enhance the innovation management capacity of SMEs in the Netherlands between 1 January 2019 and 31 December 2019. These services will comprise both Key Account Management services under the SME Instrument, FTI and FET Open schemes of Horizon 2020 and services to Enhance the iInovation Management Capacity of SMEs. The sub objectives for the first category are: to develop regional SME innovation management capacity by carrying out an innovation management gap analysis and developing and implementing a coaching action plan for a specific project under the H2020 SME Instrument, FTI and FET Open. The sub objectives for the second category are: to identify promising SMEs capable of growth and successful internationalisation, to carry out a diagnostic audit to identify gaps in the regional SME innovation management capacity and to develop and implement a tailored action plan to make the innovation system in the company more efficient and effective.

Keywords: innovation management capacity,coaching,key account management,horizon,2020,sme instrument,fet open,eimc
Novel deSign, producTion and opEration aPproaches for floating WIND turbine farms (STEP4WIND)

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: Ireland,Italy,Ireland,France,France,Netherlands,Netherlands,Denmark,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2020-04-01
End date: 2024-03-31
Duration (months): 48.0
Total project cost (EUR): 2754570.57
EU funding (EUR): 2754570.57
Participants: 9
Project status: SIGNED

STEP4WIND aims at increasing the commercial readiness level of floating offshore wind energy through technological innovations across the supply chain. Floating wind turbines (FOWTs) could be a game changer to further decrease the cost of offshore wind energy and unlock new markets. Wind turbines placed on a floating support and moored to the seabed can harness energy in areas with much higher wind speeds, at a reduced installation cost. It also gives the opportunity to countries with deep water to enter the offshore wind industry. The SET-Plan stresses that Europe needs to move fast in deploying FOWTs. It also highlights the urgency to widen the basic knowledge of early-stage researchers (ESRs) towards the design of FOWTs and match it with industrial needs. This European Industrial Doctorate programme will achieve this by delivering 10 doctoral degrees jointly supervised by the public and private sectors. The ESRs will be supervised by 3 universities with a track-record in wind energy research and 5 companies leading the deployment of floating wind farms and heavily involved in policy-making bodies. A mentoring scheme will be tailored to the needs of each ESR, with the involvement of several female senior staff. Scientifically, STEP4WIND will develop floating-specific tools, methods and infrastructures to tackle the technological and economical challenges of FOWTs, from design to deployment, operation and scaling up. The innovations from each ESR will be systematically integrated in a common multi-disciplinary design and optimisation tool to assess their impact on cost, risk and the environment. STEP4WIND will also deliver guidelines for large farm deployments, with a clear roadmap to commercialisation. The results will be disseminated openly in a series of innovative ways, including an online game and a design competition. STEP4WIND will also take part in large outreach initiatives, such as the TORQUE2020 outreach events organised by the Coordinator in May 2020.

Keywords: floating offshore wind energy,fluid structure interactions,structural design,control,system engineering,operation and maintenance,installation,manufacturing,energy storage
Evaluation of 5G Network and mmWave Radar Sensors to Enhance Surveillance of the Airport Surface (NewSense)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Finland,Belgium,France
Call: CNS for ATM (H2020-SESAR-2019-2, 2019)
Start date: 2020-11-01
End date: 2022-12-31
Duration (months): 26.0
Total project cost (EUR): 995350.0
EU funding (EUR): 943960.0
Participants: 4
Project status: CLOSED

NewSense is a research and development project that aims at improving safety and efficiency of operations primarily in secondary airports with innovative low-cost surface surveillance solutions, based on 5G cellular networks for the long term, and mmWave radar for the medium term, allowing the implementation of affordable Advanced-Surface Movement Guidance and Control Systems (A-SMGCS).

Keywords: a smgcs,surface surveillance technologies,5g positioning,5g as a radar,mmwave radar
REstoring the Self with embodiable HAnd ProsthesEs (RESHAPE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Italy
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-09-01
End date: 2023-02-28
Duration (months): 78.0
Total project cost (EUR): 1490750.0
EU funding (EUR): 1490750.0
Participants: 1
Project status: SIGNED

Amputation distorts the body representation, a fundamental aspect of self-consciousness. Hand prostheses counteract sensorimotor impairment, but poor attention has been posed to target the alteration of body-image. RESHAPE aims to study prosthesis embodiment, identify what makes a hand prosthesis easily embodiable, and test non-invasive brain stimulation to facilitate the embodiment. Amputees claim to perceive prostheses as tools; RESHAPE enables amputees to project their self into the prosthesis, improving in parallel their dexterity. The first of three phases develops the enabling technology and defines the embodiment protocol. The following phase evaluates thirty myoelectric-prosthesis users and the first of two amputees implanted with peripheral neural electrodes, for functional ability, prosthesis embodiment and acceptability and for phantom limb pain (PLP), before and after neuromodulation. In the last phase, a neuro-controlled prosthesis is optimized in line with the specifications defined in the previous phase and tested in the second implanted amputee. An embodiment and a sensory/manipulation platform, integrating a discrimination setup with sensorized wearable systems, induce and weigh the embodiment and its impact on prosthesis performance. Embodiment neural correlates are investigated with EEG and fMRI-based techniques, thanks to a prosthesis virtual model controllable inside the scanner. Patients are stimulated with a homeostatic plasticity-based rTMS either on premotor cortex or on intraparietal sulcus. A robot-aided TMS compensates head-coil relative displacement, allowing the subject to operate the prosthesis during the stimulation. RESHAPE is a paradigm shift in Prosthetics. It offers the guidelines for highly-embodiable prostheses, four technological platforms beyond the state-of-the-art, novel insights on how tools shape the body-image, the proof of a TMS-induced embodiment and a new strategy to readdress amputees’ aberrant plasticity and PLP.

Keywords: neuroprosthetics,embodiment,non invasive brain stimulation,brain plasticity,invasive peripheral interfaces,hand performance monitoring
Mechanism Design for Data Science (MDDS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced 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 Advanced Grant (ERC-2016-ADG, 2016)
Start date: 2017-07-01
End date: 2024-06-30
Duration (months): 84.0
Total project cost (EUR): 2493705.0
EU funding (EUR): 2493705.0
Participants: 1
Project status: SIGNED

The way data science algorithms and techniques, central to the Internet and on-line media, are designed need to be revolutionized. Current designs ignore participants' strategic incentives. Our vision is the establishment of an entirely new repertoire of incentive-compatible data science algorithms and techniques, obtained through pioneering the application of game-theoretic mechanism design for data science. Game theory is the branch of mathematics dealing with the modeling and analysis of multi-agent interactions. Mechanism design is the part of game theory that deals with the design of protocols/algorithms for environments consisting of self-motivated participants. Mechanism design has been central to bridging computer science and game theory. It has been widely applied to electronic commerce, advertising and routing networks, and led to significant contributions. On the other hand, data science is flowering, with major applications in search and information retrieval, on-line recommendation systems, clustering and segmentation, and social networks analysis. Quite surprisingly, although the incentives of publishers/firms/customers in such data science contexts are of great importance, mechanism design in the related settings has been almost completely neglected. The proposal aims at building theoretical foundations, providing algorithms, as well as validating through experiments, a fundamental bridge between mechanism design and data science. The ultimate success of this research would be the replacement of classical relevance ranking, segmentation, on-line explore \& exploit, and influencers' detection algorithms by incentive-compatible ones, creating the next generation of data science algorithms..