Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Synergies for Europe's Research Infrastructures in the Social Sciences (SERISS)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: Development and infrastructures
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Italy,Israel,Germany,Germany,Slovenia,Norway,Switzerland,Czechia,Netherlands,Netherlands,United Kingdom,United Kingdom
Call: Implementation and operation of cross-cutting services and solutions for clusters of ESFRI and other relevant research infrastructure initiatives (H2020-INFRADEV-1-2014-1, 2014)
Start date: 2015-07-01
End date: 2019-08-31
Duration (months): 50.0
Total project cost (EUR): 8884397.0
EU funding (EUR): 8494397.0
Participants: 23
Project status: CLOSED

Europe is facing huge socio-economic challenges: an economic crisis with a young generation in search of jobs, population ageing potentially straining inclusion and innovation of our societies, climate change with its pressures to redesign energy, transport and housing patterns, just to name some of the most urgent “Grand Challenges”. SERISS brings together three research infrastructures in the social sciences: the European Social Survey (ESS), the Survey for Health Ageing and Retirement in Europe and the Consortium of European Social Science Data Archives (CESSDA). Also involved in SERISS are non-ESFRI research infrastructures: GGP - Generations and Gender Programme; EVS - European Values Survey and the WageIndicator Survey. The overarching objective of this project is to support the Union, the Commission and the Member States to tackle these challenges with a solid base of socio-economic evidence. The scientific objective of this project is to exploit the synergies among these three infrastructures to their fullest extent and to leverage these synergies to influence the still rather fragmented landscape of smaller infrastructures. Specific bjectives are • to better represent the European population, including target groups of policy measures addressing the Grand Challenges, e.g., young unemployed, older persons in institutions and migrants, • to strengthen cross-national harmonization across Europe by leveraging recent advances in questionnaire design, translation and coding techniques, • to exploit the advances in software technology for cost-effective web-based interviewing, more efficient fieldwork management, and to support new ways of collecting data • to better connect the world of research-driven social surveys with the world of process-generated administrative data, and, • to ensure that the ethical and data protection concerns of the respondents are properly be taken into account by creating a consistent and EU-wide framework for all social surveys
EasyFlow: New asthma monitor to enable the effective control of asthma (BREATHE)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: United Kingdom
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2015, 2015)
Start date: 2015-12-01
End date: 2016-02-29
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Asthma affects the quality of life of millions of sufferers globally and causes a huge economic burden each year; asthma treatment is estimated to cost €17.7bn and the cost of lost productivity €9.8bn. It is estimated that in Europe there are 30 million asthma sufferers and 15,000 will die each year from an asthma attack even though the drugs used to treat asthma are safe, effective and if used correctly, would prevent many of these deaths. Asthma attacks result from ineffective monitoring leading to inadequate doses of prescribed drugs and therefore poor control of symptoms. Monitoring is vital as asthmatics will often not notice a gradual worsening of symptoms and will not adjust their medication accordingly potentially leading to a severe attack. Peak flow meters are currently used by asthmatics to monitor symptoms on a regular basis but compliance is poor as they are difficult to use, particularly in the young or old, and the technique required can cause exacerbation of symptoms plus the output then requires interpretation. We have developed a prototype of our easy to use home monitoring device that uses normal tidal breathing to generate breath profiles that change as symptoms deteriorate. The device incorporates our patented sensor housed in the mouth piece, which captures the breath profiles, attached to a handheld screen to display the interpretation of the breath profiles using an easy to understand traffic light system. Patients can then easily see whether they need to increase their asthma medication to control their symptoms and avoid an asthma attack. This Phase 1 project will assess the feasibility of device development and commercialisation including the clinical and regulatory requirements for CE marking.

Keywords: asthma,monitoring,diagnosis,healthcare,exacerbation,symptom control,breathe,peak flow
Re-inventing Paint – A Pioneering, Dry Paint Film for Radio Frequency Identification applications (WAVESHIELD)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: France
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-12-01
End date: 2019-04-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

With WaveShield we aim to re-invent paint for RFID applications. Our goal is to commercialize a dry, non-toxic, 100% effective RFID shielding solution with enhanced environmental and applications aspects, aiming to replace the conventional shielding liquid paints. Conductive liquid paints are the most used solution for RFID shielding. They present a competitive quality/price ratio but the application process is complicated (9-step process) and time consuming (three to five days). Durability (dripping, cracking) and thickness control are also a challenge as they often generate shielding ineffectiveness (RFID signals go through holes or too thin layer of paint). Moreover, their VOCs content, along with the odor and dust emission during application, can have serious adverse health effects on workers and significant environmental impact. Thus, the RFID technology market is in need of a more effective, cleaner, enhanced alternative solution to prevent identification errors, simplify the application procedure and reduce the environmental impact. WaveShield technology is a pioneering, VOC-free, 100% effective shielding, ready-to-use dry paint film with an embedded and mastered shielding function. It has high durability and the application procedure is a clean, simplified 3-step process, applied in only one day, without the need to remove or cover items or evacuate the space to be coated. We create a cost-efficient coating technology at a competitive price (€30/m2) that can be applied by coating professionals through standard application techniques. CORSO MAGENTA is a pioneering start-up SME, expert in alternative coating products since its foundation in 2007. Since then, we have spent €2.6M on R&D to find an innovative solution and face those challenges. Through this project, we aim to reach revenues of about €17 million after the fifth year of commercialization and create at least 35 new job positions. With a Phase 2 investment of €1.49M, this would imply a ROI of 4.55.

Keywords: rfid electromagnetic shielding,retail,wall covering,logistic
Smart Mobile awarenes and safety system for workzone invasion (ZIMASS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2019-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Current technologies applied to road maintenance safety management do not provide adequate warning due to technological limitations that reduce safety system reliability, such as: inaccurate alarms, reduced signal transmission distance, high investment (~2.000€/sensor), or do not meet portability & flexibility needs. This causes that 75% of all road maintenance worker deaths are caused by runovers. To overcome those limitations, Secmotic, Spanish SME, expert in innovative IoT (Internet of Things) solutions for the digital transformations of cities and industry and, has developed ZIMASS, a smart, portable and reliable awareness & safety system for work zone invasion. ZIMASS is based on computer vision and artificial intelligence, to create a virtual security zone, recognize risky situations, and alert workers by connected wearable devices. ZIMASS offers a competitive new solution (3.750 €/system – 10 detection nodes + 5 wearables-) with low exploitation costs (€0,015/ day), and payback period ≤ 2 months. ZIMASS, unmatchable reliability (response time < 1s), increases work safety and work quality, as it reduces sick leaves with its associated financial saving, therefore increasing work productivity. Our smart plug & play solution is customized & adaptable to every application and support. ZIMASS successful launch will be by 2020, boosting our revenues and gross profits to respectively €12,8 M and €3,4 M, with a profitable ROI of 55% by the 5th year. After 5 years, we will sell 3.420 ZIMASS systems, and we will create 15 new job opportunities. We will count with key technical & commercial partners (as S2E), and key end users support as final validators (see support letter of Ferrovial Servicios, Ferrovial Agroman, Cintra, Calle 30 and Emasesa).

Keywords: machine learning,artificial intelligence,safety systems,work zone intrusion warning system
Advancing reaction kinetics of Oxidative Coupling of Methane by operando spatiotemporal reactor analysis (KinGrad-OCM)

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: Chemistry
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-06-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 187572.48
EU funding (EUR): 187572.48
Participants: 1
Project status: SIGNED

Abundant availability of methane makes this compound being a potential substitute to crude oil for ethylene production if such chemical conversion is feasible. The direct transformation of methane into olefins via Oxidative Coupling of Methane (OCM) is nowadays still considered as a “dream” reaction for the direct production of ethylene from methane. This process remains a huge challenge in chemical engineering research. A better understanding on how the reaction proceeds in space and time in the reactor (mechanism and kinetics of the process) and the development of advanced efficient catalysts are crucial steps to achieve the industrial implementation of the process. The traditional methodology to evaluate catalytic performance and addressing kinetic analyses, which consists on the assumption of a constant temperature for the catalytic bed and the evaluation of the gas composition at the reactor outlet, seems not to be a suitable strategy for chemical processes such as OCM. KinGrad-OCM aims to set up a new methodological approach based on the application of operando spatial reactor analysis techniques for the study of the OCM reaction both in conventional furnace heated and microwave-assisted reactors. A particular focus is given to the assessment of reaction kinetic by the operando spatial reactor analysis through the physicochemical gradients present in the reactors. The successful application of the gradient approach, proposed in KinGrad-OCM, for assessing kinetic studies will yield a new perspective to both catalyst and reactor design not only for the OCM process but also for other complex chemical reactions.

Keywords: oxidative coupling of methane,reaction kinetics,operando spatiotemporal reactor analyses,operando spectroscopy,microwave assisted reactor,structured catalysts
Defining strategic financial governance of innovation: institutional context(s) and strategic capabilities of State-Investment Banks in the EU. (DeFInE)

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-2019, 2019)
Start date: 2020-10-01
End date: 2022-09-30
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

Development Finance Institutions in Europe (DeFInE) is a multidisciplinary research project that aims at developing an institutional conceptual framework for development finance institutions or state-investment banks (SIBs) in the European Union and analyzing their strategic competences that are directly linked to their policy roles. SIBs are increasingly recognized as strategic agents of change in providing scarce long-term resources to risky projects that commercial financial sector is either unable or unwilling to finance. Following an emerging discussion over ‘Entrepreneurial State’ and the need to make financing an integral part of innovation policies, SIBs should be considered as an active element of financial governance of innovation and development. Despite a large number of currently existing SIBs, their analysis has been mostly focused on policy objectives, financial instruments and corporate governance. However, not all SIBs have been successful in playing strategic policy roles. Reasons are complex: lack of strategic industrial policies, or changes in policy objectives, political interference, changes in sources of funds and corporate strategies, but also, and more importantly, lack or change of internal strategic competences. The project combines evolutionary economics perspective (dynamic capabilities), economics of innovation (financing of innovation) and public governance perspective (policy capacity, bureaucracy) in order to analyse institutional contexts and internal capacities of SIBs. In doing so, the aim of the project is to better understand what makes some SIBs strategic state-backed investors in financing innovation-led growth while others – less so. The context of multinational governance of the EU adds another unique dimension to the study. European Commission has already expressed the vision to more actively engage National Promotional Finance Institutions in Member States in the next budgetary period 2021-2027.

Keywords: financing of innovation,state investment banks,innovation policy,strategic financial governance
Multi-resolution Fracture Models for High-strength Steels: Fully Ductile Fracture to Quasi-cleavage Failure in Hydrogen Environment (FraMoS)

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: Information Science and Engineering
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-12-01
End date: 2018-11-30
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Recent advances in Computational Mechanics are towards the development of predictive tools that can accelerate the 'Materials Development Cycle' by unraveling the linkage between macroscopic properties and microstructure. The availability of 3D tomographic tools and the era of Exascale computing have initiated the quest to develop stronger, tougher and more durable alloys by employing 'virtual predictions' in lieu of expensive destructive testing. However, our lack of understanding of the 'structure-toughness’ relations is one of the main bottlenecks in this pursuit. Moreover, the uptake of some of these new alloys (TRIP, TWIP etc) is hampered by the concerns of hydrogen (H) induced cracking. Existing models have limitations in describing the role of microstructural heterogeneities on mechanisms of fracture in HSS. The proposed research will develop high fidelity continuum models to cover the entire spectrum of mechanisms from fully ductile fracture to quasi-cleavage failure of HSS in H-environment. Among the various mechanisms of H-assisted cracking, hydrogen embrittlement (HE) is one of the most devastating, yet least understood, mechanism of failure in HSS. In this work, realistic models of void nucleation accounting for the dislocations interactions with the second phase particles will be developed. The proposed models of void growth and coalescence will incorporate the microstructural length scales, thus, eliminating the deficiencies of the existing 'damage models'. The micromechanical models of HE developed in this work will incorporate the influence of hydrogen on the initiation and propagation of microcracks leading to complete failure. These models will be integrated with the most advanced models of H-diffusion and trapping (being developed at Oxford) to describe the detailed mechanism of fracture at crack tip in HSS. It is expected that this work will bring, in due course, significant international recognition for its fundamental and applied contribution

Keywords: ductile fracture,materials modelling,microstructure,non local continuum mechanics,hydrogen embrittlement
Simulation in Real Time for Manufacturing with Zero Defects (STREAM-0D)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Innovation actions
Countries involved: Germany,Spain,Spain,Italy,Italy,Cyprus,Greece,Poland,France,Czechia,United Kingdom
Call: Zero-defect strategies at system level for multi-stage manufacturing in production lines (H2020-FOF-2016, 2016)
Start date: 2016-10-01
End date: 2020-09-30
Duration (months): 48.0
Total project cost (EUR): 5063828.76
EU funding (EUR): 4159145.0
Participants: 14
Project status: CLOSED

Facts: i) Zero-defect manufacturing and flexibility of production processes are some of the main challenges for European manufacturing; ii) One of the engineering tools with higher potential is the linking of simulation tools with measurement devices for real-time control of applications. The huge potential of this synergistic loop remains untapped for manufacturing processes and could be used for reducing product variability, increase line flexibility and achieve zero defect production. These objectives could be reached by integrating in the production line multi-physics simulation models, able to predict the product quality indicators in response to the values of critical input parameters (components dimensions, material properties, etc), which are unavoidably subject to variability: different batches, different suppliers,... The models will be fed with actual data from online measurements and, based on the model prediction, the critical steps of the line will be controlled to adjust the product to the exact design specifications or to quickly change specifications for producing customised batches. However, doing this in real time is not possible due to the computational cost of models. Reduced Order Modelling is a new generation of techniques which allow us to obtain parametric solutions of complex models that can be particularized in real time for any value of the parameters. The models run so fast that they can be executed on tablets or smart phones. ROM will be used to transform complex models into the real-time capable models that can be integrated in the production line. Moreover, the online deployment of ROMs and data gathering systems will generate big data which will be exploited through data analysis techniques for further improving the process. The project will show proof-of-concept demonstrations in three real process chains of the automotive sector, covering different types of production methods, products, materials and manufacturing processes.

Keywords: knowledge based simulation,reduced order modelling,real time simulation,real time adaptive control,industrial processes,online data gathering,intelligent data analysis,cloud computing
Low Temperature Glassy Systems (LoTGlasSy)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Italy
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-06-01
End date: 2022-10-31
Duration (months): 77.0
Total project cost (EUR): 1760000.0
EU funding (EUR): 1760000.0
Participants: 1
Project status: SIGNED

Jamming of hard spheres is a new critical phenomenon whose exponents are different from those of the other known transitions. These exponents have been recently computed in a mean field approximation whose limits of validity are not known. Even if their values are in very good agreement with the ones obtained by accurate numerical simulations, the deep reasons for this success are not understood. Trampolining from these results I plan to develop a theory of the large scale properties of the free energy landscape of glasses at low temperature. I will use techniques of statistical field theory and of renormalization group to identify and compute universal features. This proposal has the following goals. • We will develop a complete analytic theory of the infinite pressure limit (jamming) of hard spheres in dimensions greater than the upper critical dimensions. We will first compute analytically the upper critical dimension. Numerical simulations suggest that the upper critical dimensions is equal to or smaller than 2: this result is puzzling and it would be very interesting to find out if this indication is supported by the theory. We will also investigate in detail the scaling properties and the conformal invariance of the correlation functions. • Starting from these results we will derive universal properties of glassy materials in the low temperature regions in the classical and in the quantum regime. The properties of multiple equilibrium configurations are crucial; we will study the structure of small (localized or extended) oscillations around them, the classical and quantum tunneling barriers. • We will analyze both equilibrium features and off-equilibrium features (like plasticity and the time dependence of the specific heat). The subject has been widely discussed and phenomenological laws have been derived. I aim to obtain these laws from first principles using the properties of the free energy landscape in glasses that will be derived analytically.

Keywords: critical phenomena,scaling invariant theories,renormalization group,disordered systems,replica symmetry breaking,glasses,jamming