Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Hybrid Human-Robot RECYcling plant for electriCal and eLEctRonic equipment (HR-Recycler)

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: Germany,Italy,Spain,Spain,Spain,Spain,Belgium,Greece,Greece,France,Netherlands,Portugal
Call: Effective Industrial Human-Robot Collaboration (RIA) (H2020-NMBP-FOF-2018, 2018)
Start date: 2018-12-01
End date: 2022-11-30
Duration (months): 48.0
Total project cost (EUR): 6986573.75
EU funding (EUR): 6986573.75
Participants: 16
Project status: SIGNED

The technological advances that have been achieved over the past decades have led to a tremendous increase of both the types and the total amount of electrical and electronic equipment that is manufactured. Despite the importance of Waste Electrical and Electronic Equipment (WEEE) management, the issue of the WEEE recycling has not received that increased industrial attention. HR-Recycler will target the development of a ‘hybrid human-robot recycling plant for electrical and electronic equipment’ operating in an indoor environment. The fundamental aim of the system (and its great innovation potential) will be to replace multiple currently manual, expensive, hazardous and time-consuming tasks of WEEE materials pre-processing with correspondingly automatic robotic-based procedures (categorization of electric/electronic devices, disassembling them, sorting of device components), before the materials are eventually provided as input to a fine shredding machine and conventional material separation steps are applied (using air/water flows, oscillating movements, magnets, etc.). More specifically, the overall goal of HR-Recycler is to create a hybrid collaboration environment, where humans and robots will harmoniously share and undertake at the same time different processing and manipulation tasks, targeting the industrial application case of WEEE recycling. The primary output of the envisaged system will be to extract sorted electric/electronic device components [e.g. Printed Circuit Boards (PCBs), Cu coils, capacitors, etc.] and concentrated fractions (e.g. copper, aluminium, plastics, etc.) of increased economic and environmental value; hence, contributing to the fundamental goal of the ‘European circular economy’ project and boosting economic activity in secondary markets. Additionally, mixed fractions (i.e. fractions with low concentration in valuable materials) will be collected, in order to be sent to other facilities for further dedicated recycling process.

Keywords: human robot collaboration,factory orchestration,ai perception methods,smart mechatronics,weee management
European Robotic Orbital Support Services (EROSS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling advances in space technology
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Italy,Greece,Poland,Norway,Belgium,France,France,United Kingdom,United Kingdom
Call: SRC – Space robotics technologies (H2020-SPACE-2018, 2018)
Start date: 2019-02-01
End date: 2021-06-30
Duration (months): 29.0
Total project cost (EUR): 3937223.75
EU funding (EUR): 3937223.75
Participants: 12
Project status: CLOSED

EROSS (European Robotic Orbital Support Services) objective is to demonstrate the European solutions for the Servicers and the Serviced LEO/GEO satellites, enabling a large range of efficient and safe orbital support services. The project will assess and demonstrate the capability of the on-orbit servicing spacecraft (chaser) to perform rendezvous, capturing, grasping, berthing and manipulating of a collaborative client satellite (target) provisioned for servicing operations including refuelling and payload transfer/replacement. EROSS embeds key European Technologies by leveraging on actuators, sensors, software frameworks and algorithms developed in previous European Projects. EROSS boosts the maturity of these key building blocks and increases their functionalities and performance in a coherent work programme targeting fast and practical deployment of the developed solutions in space. The consortium went into great details in the EROSS concept and the technical operational plan to manage perfectly the risks and complexity of development of such a large system. Following EROSS, TAS plans to commercialize its Multi-Purpose Servicing Chaser in 2021 for the LEO&GEO servicing business, pulling with him the project’s technology providers. Besides, most partners will address other short-term space/non-space markets, such as Space Exploration & Science and factory automation (sensors, robots). The project success relies on a highly skilled and experienced consortium involving all the leaders of previous SRC Operational Grants. EROSS involves 11 partners from 8 countries over 24 months and a budget of 3,9M€. As Operational Grant n°7, EROSS will be part of the Strategic Research Cluster (SRC) on Space Robotics.

Keywords: servicing spacecraft,refueling,payload,orbital transfer,debris removal,non and collaborative satellite,actuators,sensors,software,algorithm,geo servicing business,on orbit servicing
Methods for Managing Audiovisual Data: Combining Automatic Efficiency with Human Accuracy (MeMAD)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Finland,Belgium,Finland,France,France,United Kingdom
Call: Tools for smart digital content in the creative industries (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2021-03-31
Duration (months): 39.0
Total project cost (EUR): 3431593.75
EU funding (EUR): 3431593.75
Participants: 9
Project status: CLOSED

Audiovisual media content created and used in films and videos is key for people to communicate and entertain. It has also become an essential resource of modern history, since a large portion of memories and records of the 20th and 21st centuries are audiovisual. To fully benefit from this asset, fast and effective methods are needed to cope with the rapidly growing audiovisual big data that are collected in digital repositories and used internationally. MeMAD will provide novel methods for an efficient re-use and re-purpose of multilingual audiovisual content which revolutionize video management and digital storytelling in broadcasting and media production. We go far beyond the state-of-the-art automatic video description methods by making the machine learn from the human. The resulting description is thus not only a time-aligned semantic extraction of objects but makes use of the audio and recognizes action sequences. While current methods work mainly for English, MeMAD will handle multilingual source material and produce multilingual descriptions and thus enhance the user experience. Our method interactively integrates the latest research achievements in deep neural network techniques in computer vision with knowledge bases, human and machine translation in a continuously improving machine learning framework. This results in detailed, rich descriptions of the moving images, speech, and audio, which enable people working in the Creative Industries to access and use audiovisual information in more effective ways. Moreover,the intermodal translation from images and sounds into words will attract millions of new users to audiovisual media, including the visually and hearing impaired. Anyone using audiovisual content will also benefit from these verbalisations as they are non-invasive surrogates for visual and auditory information, which can be processed without the need of actually watching or listening, matching the new usage of video consumption on mobile devices.

Keywords: creative industries,broadcasting,audiovisual media indexing,media metadata,media enrichment,audio description,media subtitling
Lattice gauge theories studies of timely theoretical and phenomenological questions in strongly coupled quantum field theories. (Tips in SCQFT)

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: Physics
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-04-01
End date: 2021-03-31
Duration (months): 24.0
Total project cost (EUR): 180277.2
EU funding (EUR): 180277.2
Participants: 1
Project status: CLOSED

As a MSC fellow I will work on the investigation of non-perturbative and topological properties of strong interactions and beyond. This project includes the study of 3 timely problems on Strongly Coupled Quantum Field Theories (SCQFT) using Lattice techniques. Within this project I will provide the detailed calculation of the spectrum of the closed flux-tube in 4-dimensional Yang-Mills theory and investigate the properties of the new "axion" particle on the worldsheet of the QCD flux-tube. This includes the extraction of the excitation spectrum of the flux-tube in the fundamental representation of colour with N-ality k=1 as well as in representations with k=0 and k=2, for short as well as long-flux tubes and for arbitrary values of the θ-vacuum angle. Furthermore, I will evaluate the Standard Model value of the neutron Electric Dipole Moment (nEDM) via Lattice QCD; this investigation would make use of 3 and 4 flavours of quarks with masses corresponding to the physical pion mass as well as an extrapolation to the continuum. This would provide valuable input for current and future experiments measuring nEDM. In addition I will investigate strongly coupled BSM physics as a possible explanation for the mechanism of electroweak symmetry breaking. Within this framework I will study the continuum properties of the SU(2) Yang-Mills theory with 1 adjoint Dirac flavour. This might proved to be an essential component of a theory that could realise the mechanism of electroweak symmetry breaking and could be verified by LHC or future experiments. This 3-fold interdisciplinary project requires computational work which involves highly sophisticated numerical techniques and state of the art HPC facilities. The above actions will be running in parallel with an estimated completion time of 24 months. Moreover this proposal aims to train the fellow on GPU programming, simulations at finite θ, BSM phenomenology and to introduce as well as to establish UNIPI in Lattice BSM studies.

Keywords: lattice gauge theory,strong interactions,bosonic strings,neutron electric dipole moment,conformal window,beyond the standard model physics,vacuum,gpu programming,computational physics
Advanced strategies for substitution of critical raw materials in photovoltaics (STARCELL)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Advanced materials
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Germany,Spain,Spain,Switzerland,Sweden,Sweden,France,France,United States,United Kingdom,Japan
Call: Innovative and sustainable materials solutions for the substitution of critical raw materials in the electric power system (H2020-NMBP-2016-two-stage, 2016)
Start date: 2017-01-01
End date: 2019-12-31
Duration (months): 36.0
Total project cost (EUR): 6009798.75
EU funding (EUR): 4832185.0
Participants: 16
Project status: CLOSED

STARCELL proposes the substitution of CRM’s in thin film PV by the development and demonstration of a cost effective solution based on kesterite CZTS (Cu2ZnSn(S,Se)4) materials. Kesterites are only formed by elements abundant in the earth crust with low toxicity offering a secure supply chain and minimizing recycling costs and risks, and are compatible with massive sustainable deployment of electricity production at TeraWatt levels. Optimisation of the kesterite bulk properties together with redesign and optimization of the device interfaces and the cell architecture will be developed for the achievement of a challenging increase in the device efficiency up to 18% at cell level and targeting 16% efficiency at mini-module level, in line with the efficiency targets established at the SET Plan for 2020. These efficiencies will allow initiating the transfer of kesterite based processes to pre-industrial stages. These innovations will give to STARCELL the opportunity to demonstrate CRM free thin film PV devices with manufacturing costs ≤ 0.30 €/Wp, making first detailed studies on the stability and durability of the kesterite devices under accelerated test analysis conditions and developing suitable recycling processes for efficient re-use of material waste. The project will join for the first time the 3 leading research teams that have achieved the highest efficiencies for kesterite in Europe (EMPA, IMRA and IREC) together with the group of the world record holder David Mitzi (Duke University) and NREL (a reference research centre in renewable energies worldwide) in USA, and AIST (the most renewed Japanese research centre in Energy and Environment) in Japan. These groups have during the last years specialised in different aspects of the solar cell optimisation and build the forefront of kesterite research. The synergies of their joined efforts will allow raising the efficiency of kesterite solar cells and mini-modules to values never attained for this technology.

Keywords: kesterite,czts,solar cells,sustainable,thin film pv
MirrorPV - Balanced growth photovoltaic generation with Roof PV mirrors (MirrorPV)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Bulgaria
Call: Stimulating the innovation potential of SMEs for a low carbon energy system (H2020-SMEINST-1-2015, 2015)
Start date: 2015-12-01
End date: 2016-05-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The strategic aim of SCA Development Ltd. (SCAD), and our intentions regarding potential Phase 2 funding, is production start-up and market uptake of “MirrorPV” innovative solution. The main objective of MirrorPV phase 1 project is to perform a feasibility study of our innovation idea in order to verify the technological, practical, market and economic viability of the innovation. MirrorPV is an innovative patent pending technology that increases the productivity of the photovoltaic solar systems when the sun is low above the horizon by increasing their illumination. The specific objectives of SCAD towards MirrorPV phase 2 and phase 3 project and expected outcomes by 2018 are – To develop the MirrorPV innovation to a series of prefabricated modules with a different shape, width, height and inclination towards PV panels; To develop and establish a distribution network for the Balkan market by the end of 2017 and penetration the rest of European market by the end of 2018; Using specific communication and promotion channels, to demonstrate the efficiency, capability and qualities MirrorPV as cost effective solution; To achieve commercialization of the MirrorPV in EU market by the end of 2018. Specific objectives of the MirrorPV feasibility study – Study and analysis of the current mode of operation of MirrorPV. Evaluation of alternatives – the influence of the different shape of the mirrors on the equability of irradiation of the entire area of the PV panels; Definition of operating requirements for production start-up and market uptake of MirrorPV; Identification and analysis of the critical risk factors. Development of contingency plan; Deep study and analysis of the market environment, market segmentation and development of most suitable for MirrorPV marketing and sales strategy; Overall assessment of project viability; Establishment of intellectual property issues; Identification of the most relevant partners for development and implementation of phase 2 project;

Keywords: photovoltaics,improved,efficiency,mirrors,rooftops
Metaphor as the Purpose of the Firm (METAPoF)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2019-04-01
End date: 2022-09-30
Duration (months): 42.0
Total project cost (EUR): 801926.0
EU funding (EUR): 801926.0
Participants: 1
Project status: CLOSED

In this research programme, I connect language to managers’ sense-making about the purpose of the firm in society. Specifically, how does language reflect and shape beliefs as to whether firms should tackle societal challenges, such as inequality, resource scarcity, and climate change, rather than merely create economic value for investors? In contrast to dominant macro-level explanations focused on the institutional drivers of purpose, I propose to investigate figurative language as a micro-foundation that influences why firms choose to tackle the societal challenges they do. Figurative language, such as metaphor, has a role in shaping how people think and act. It does so by helping actors make sense of complex phenomena in terms of objects and processes they more readily understand and experience more concretely. For instance, people often describe the future in terms of the physical realities of space and motion. Emerging research at the interface of language and cognitive science documents that even subtle differences in the form of metaphor—e.g., whether we describe ourselves as approaching the future, or whether we describe the future as approaching us—can prompt distinct ways of sense-making. I have designed three empirical studies that build on this emerging research to advance understanding of how metaphor informs sense-making about the future and about one’s capacity to solve societal problems. The studies explore 1) the relationship between metaphor and understandings of purpose, 2) the relationship between management teams’ use of metaphor and investor support for corporate social engagement, and 3) the relationship between firms’ working languages and understandings of purpose. Together, the studies promise to break new ground by showing the latent influence of language on how executives make sense of the purpose of the firm in society and on how communicating purpose in different ways can mould investor reactions.

Keywords: language,sustainability,metaphor,social responsibility
Becoming a mother: An integrative model of adaptations for motherhood during pregnancy and the postpartum period. (BEMOTHER)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: Spain,Spain
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2020-10-01
End date: 2025-09-30
Duration (months): 60.0
Total project cost (EUR): 2465131.0
EU funding (EUR): 1608531.0
Participants: 3
Project status: SIGNED

Pregnancy involves biological adaptations that are necessary for the onset, maintenance and regulation of maternal behavior. We were the first group to find (1, 2) that pregnancy is associated with consistent, pronounced and long-lasting reductions in cerebral gray matter (GM) volume in areas of the social-cognition network. The aim of BEMOTHER is to develop an integrative model of the adaptations for motherhood that occur during pregnancy and the postpartum period by: i) establishing when the brain of pregnant women begins to change and how it evolves; ii) characterizing the dynamics of cognitive performance, theory-of-mind, maternal-infant bonding and psychiatric measures; iii) assessing the effect of environmental and/or psychological factors in the maternal adaptations, iv) identifying the metabolomics biomarkers associated with maternal adaptations, and v) integrating the previous findings within the Research Domain Criteria framework (RDoC) (3). We will use a prospective longitudinal design at 5 time points (1 pre-pregnancy session, 2 intra-pregnancy sessions and 2 postpartum sessions) during which neuroimaging, psychological, behavioral and metabolomics data will be acquired in 3 groups of women: a group of nulliparous women who will be undergoing a full-term pregnancy, another group of nulliparous women whose same-sex partners will undergo a full-term pregnancy, and a group of control nulliparous women. We will provide the longitudinal RDoC-based model at the end of the study, but we will also deliver intermediate longitudinal evaluations after the postpartum session, as well as cross-sectional analyses after the first intra-pregnancy session and the postpartum session. BEMOTHER is timely and innovative. It adopts the translational RDoC framework in order to provide a pioneering, comprehensive and dynamic characterization of the adaptations for motherhood, addressing the interaction among different functional domains at different levels of analysis.

Keywords: mohterhood,neuroplasticity,pregnancy,maternal infant bonding,theory of mind
Ethnic geography and civil conflict (EGeoCC)

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: Economic Sciences
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-09-01
End date: 2021-08-31
Duration (months): 24.0
Total project cost (EUR): 224933.76
EU funding (EUR): 224933.76
Participants: 1
Project status: CLOSED

The project aims to study the relation between ethnic geography (i.e., the spatial distribution of ethnic groups on a country's territory) and the risk of civil conflict. One core objective of the project is the development of a theoretical model that identifies the features of ethnic geography which are relevant for civil conflict. The predictions of this model should lead to the definition of a novel measure of ethnic geography based on spatial and ethnolinguistic distances which is expected to be empirically linked to the occurrence of civil conflict. By enhancing our understanding of the relation between the spatial distribution of ethnic groups and the risk of outbreaks of violence between them, the project aims at providing broad policy guidance for the management of civil conflicts depending on the specific features of a country's ethnic geography.

Keywords: ethnic conflict,ethnic segregation