Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Two-orbital quantum many-body systems: from Kondo dynamics to mediated interactions (OrbiDynaMIQs)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Fundamental constituents of matter
Panel description: Particle, nuclear, plasma, atomic, molecular, gas, and optical physics
Countries involved: Italy,Italy
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-05-01
End date: 2026-04-30
Duration (months): 60.0
Total project cost (EUR): 1412829.0
EU funding (EUR): 1316783.44
Participants: 2
Project status: SIGNED

The interaction between localized spins and mobile fermions underlies the transport properties of a large variety of highly correlated materials. Even a single localized spin impurity can dramatically influence the motion of many fermions in its surroundings, giving rise to one of the most remarkable phenomena in quantum many-body physics - the Kondo effect. For a finite density of localized spins, the Kondo effect competes with non-local fermion-mediated Ruderman-Kittel-Kasuya-Yosida (RKKY) interactions, providing the driving force for many intriguing phenomena such as the unconventional superconductivity and the quantum critical behavior of heavy-fermion compounds. Despite decades of investigations, fundamental issues remain concerning the dynamical and spatial properties of the Kondo effect, that are difficult to tackle in electron systems. Further, a detailed understanding of the transition between the single-impurity Kondo problem and a system of interacting impurities is still missing. In OrbiDynaMIQs, I will develop a novel experimental platform for addressing such open questions. Leveraging on recent progress in manipulating single atoms with optical tweezers, I will realize a versatile two-orbital quantum simulator based on ultracold fermionic ytterbium atoms. I will focus on the spin-orbital dynamics of single and multiple localized impurities embedded in one- and two-dimensional itinerant fermion systems. I will then investigate the emergence of RKKY interactions between localized spins, both in few-body and full lattice realizations, taking first steps in exploring a whole new range of spin-correlation phenomena in Kondo systems. The proposed approach capitalizes on the strong interlink between quantum many-body physics and precision measurements with two-electron atoms, and on my experience at the confluence of these fields. It will also facilitate studies of new two-orbital models with enlarged SU(N) symmetries beyond that of spin-1/2 electron systems.

Keywords: kondo physics,quantum dynamics
Tensor-bAsed Machine learning towards genEral moDels of affect (TAMED)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Other Widening
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Malta
Call: Widening Fellowships (H2020-WF-02-2019, 2019)
Start date: 2020-07-01
End date: 2022-06-30
Duration (months): 24.0
Total project cost (EUR): 160049.28
EU funding (EUR): 160049.28
Participants: 1
Project status: CLOSED

The main objective of the TAMED project is to devise new methods and algorithms for realising aspects of general emotional intelligence, one of the core long-term goals of artificial intelligence and artificial psychology. To move towards such an ambitious goal TAMED methods would be required to: a) derive accurate models from small-sized affect data corpora, b) eliminate the subjective biases inherent in affective ground truth, and c) limit overfitting effects of affect models given their context-specific nature. TAMED views general affect modelling from an ordinal perspective and interweaves uniquely novel tensor-based learning models with preference learning approaches. TAMED is highly innovative since it utilises, for the first time, tensor-based and preference (deep) learning models to capture general aspects of affect. Tensor models are characterised by high learning and generalization capacity, and are suitable across different learning paradigms, while preference learning can uniquely eliminate annotation biases and approximate more reliably the underlying ground truth of affect. TAMED methods will be used to investigate the degree to which context-free affect models are possible and general affect patterns can be captured across dissimilar tasks and users. The applicability of the derived models will be tested on the domain of digital games since they offer complex yet well-defined problems for exploring the capacities of general artificial intelligence. The aforementioned innovative aspects make TAMED highly interdisciplinary, with research activities spanning from affective computing and machine learning to digital game design and development. The fellowship will contribute to the researcher’s career development through the acquisition of advanced scientific and technical skills, as well as developing skills within academia and industry. The project will also serve to consolidate and extend the researcher's professional network within Europe and beyond.

Keywords: affective modelling,tensor based machine learning,affective computing,human computer interaction,preference learning
Capitalising the full potential of on-line collaboration for SMEs innovation support in the Agri-Food ecosystem (INNO-4-AGRIFOOD)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Germany,Italy,Serbia,Greece,Hungary,Greece,Netherlands
Call: Capitalising the full potential of online collaboration for SME innovation (H2020-INNOSUP-2015-2, 2015)
Start date: 2016-03-01
End date: 2018-08-31
Duration (months): 30.0
Total project cost (EUR): 818516.25
EU funding (EUR): 818516.25
Participants: 7
Project status: CLOSED

INNO-4-AGRIFOOD will deliver a new generation of innovation support services that will assist European SMEs across the vast Agri-food ecosystem to create value from on-line collaboration for innovation, access a broader range of potential innovation partners beyond their national and sectoral borders and timely mobilise them to seize opportunities to launch concrete innovation projects. INNO-4-AGRIFOOD services will be provided by properly qualified and well-trained innovation support specialists and appropriately escalate to respond to the diverse needs and characteristics of agri-food SMEs. They will be platform-independent and supported by a suite of smart ICT tools based on well-established and mainstream web-technologies. In order to equip the staff of innovation intermediaries across Europe with the expertise and skill-set required to deliver its novel innovation support services, INNO-AGRIFOOD will develop a qualification profile that will be complemented with a dedicated curriculum as well as a series of e-training courses provided via an interactive e-learning environment. The development, testing and validation of all project outcomes will take into account the needs of agri-food SMEs and their innovation intermediaries both of which will be effectively integrated along with agri-food stakeholders into a co-creating process to generate demand-driven, desirable and sustainable project outcomes. INNO-4-AGRIFOOD is implemented by a multidisciplinary and well-balanced consortium that encompasses key collective European agri-food associations, major European networks and SME agencies, leading actors that run FIWARE agri-food accelerators’ communities and Living Labs and a specialised media, e-curriculum and e-training developer.

Keywords: agri food ecosystem,innovation support intermediaries,e training courses,qualification profile,smart ict tools,on line collaboration
Automatic non-destructive recognition of used printing techniques on substrates (ANDRUPOS)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Germany,Germany,Netherlands,United Kingdom
Call: Fast Track to Innovation Pilot (H2020-FTIPilot-2016-1, 2016)
Start date: 2017-07-01
End date: 2019-12-31
Duration (months): 30.0
Total project cost (EUR): 1753433.75
EU funding (EUR): 1269421.25
Participants: 4
Project status: CLOSED

ANDRUPOS is a leading edge web based document examination system capable of authenticating printing techniques, printer and paper sources. It is built on research projects and studies, in which the feasibility and the relevant technologies in ICT, software and analysis technologies have been validated and tested with pilot users. ANDRUPOS is a game changer in document fraud detection such as ID documents, passports or banknotes, as it enables for the first time an automatic reliable detection method, giving quick and confident reports on possible fraud and – another very new not yet available feature – links counterfeits with printers, so that also different counterfeits and cases can be traced back to the people responsible for it like organized crime. Fraudulent identity and security documents are integral prerequisites for the smuggling of migrants, trafficking in persons, terrorist mobility, to facilitate the smuggling of drugs, weapons and other goods and they simplify cross-border crime of all types. Counterfeit documents enable opening of bank accounts or receiving illegal social insurance benefits. Making and using fraudulent documents by organised crime produce huge civil, social and personal losses. The target market comprises banking (national banks), border security (airports, border crossing points), public and private forensic institutes as well as law enforcement agencies. ANDRUPOS pro-actively targets the needs and requirements of national and European users like Law Enforcements Agencies, Criminal Offices, National Police Services, Customs Investigation Bureaus, National Banks, Financial/Customs. The main objective of the FTI project now is to do the final optimization and upgrading as well as customization and then going into a final validation phase with test at first customer stations.

Keywords: recognition of used printing techniques,questioned document examination,forensic,intelligence,printer characteristics
European Frontiers: Rural Spaces and Expanding States (EUROFRONT)

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: Greece
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-08-01
End date: 2019-07-31
Duration (months): 24.0
Total project cost (EUR): 152653.2
EU funding (EUR): 152653.2
Participants: 1
Project status: CLOSED

Frontiers are dynamic zones of resistance and negotiation where local actors respond to the political/economic fluctuations of expanding states. Research on Europe’s frontier zones in the historic past has immediate relevance to the modern economic and political landscape, where the expansion of transnational markets is creating new dynamic frontier zones. Yet due to the typical top-down approach employed by archaeologists and historians, the local experience of living in a frontier has been largely overlooked. EUROFRONT adopts an innovative four-field methodology (archaeology, history, geomatics, and ethnography) to investigate two European frontiers in Crete and Dalmatia. Rich datasets will be developed for each region, synthesizing archaeological data, archival materials (e.g. tax registers and cadastral maps), paleoclimate data, and modern oral histories about villages in the regions. Advanced geospatial analyses will be used to detect patterns in population movement, settlement distribution, network connection, and agricultural production. During the project, the researcher will be trained in cutting-edge geomatics technologies, and the skills and knowledge she gains will enhance her reputation as a leading scholar of Early Modern archaeology and history in Europe. Results of the study will provide insight into how frontier communities are shaped by the process of state expansion from an economical, social, political, and environmental perspective. Project dissemination will prioritize publication of the raw data, training other scholars, and sparking an international dialogue about frontier zones that transects geographical and temporal boundaries. The project website and interactive online GIS will be critical deliverables that not only promote the study of frontiers but also give voice to the local experience through publication of maps, photographs, and interviews with local residents.

Keywords: frontiers,early modern period,ottoman empire,archival research,social network analysis,ethnography
Regulation and Evolution of C4 photosynthesis (Revolution)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Integrative Biology: from Genes and Genomes to Systems
Panel description: Genetics, epigenetics, genomics and other ‘omics studies, bioinformatics, systems biology, genetic diseases, gene editing, innovative methods and modelling, ‘omics for personalised medicine
Countries involved: United Kingdom
Call: ERC Advanced Grant (ERC-2015-AdG, 2015)
Start date: 2016-09-01
End date: 2022-08-31
Duration (months): 72.0
Total project cost (EUR): 2496521.0
EU funding (EUR): 2496521.0
Participants: 1
Project status: CLOSED

Life is dependent on sugars made during photosynthesis. When plants colonized land ~450 million years ago they used a photosynthetic system known as the C3 pathway that still operates in the majority of species today. However, from ~30 million years ago over sixty plant lineages evolved a version of photosynthesis known as the C4 pathway that increases CO2 fixation efficiency by about 50%. C4 species such as maize and sorghum are now the most productive on the planet and achieve this by compartmentalizing gene expression between cell-types. As with other complex biological systems made up of multiple distinct cell-types, it has not been possible to understand how photosynthesis genes are regulated in specific cell-types of C4 leaves. In contrast to strategies being used by other groups, I propose to discover how specific cell-types of ancestral C3 leaves regulate gene expression, and then to use this information to determine how C4 photosynthesis operates. To achieve this, state-of-the-art approaches used on whole tissues will be adapted to study individual cell-types. Revolution will test the hypothesis that cell-specific gene expression in C4 leaves is mediated by pre-existing regulatory networks found in C3 species. Intracellular mechanisms regulating photosynthesis genes in ancestral C3 but also derived C4 leaves will be identified. In C3 leaves I wish to understand how some cell-types express photosynthesis genes whilst others remain photosynthetically repressed. In C4 leaves I wish to discover the extent to which cell-specific expression is based upon pre-existing regulatory networks in the C3 leaf. Revolution will therefore generate information of broad relevance to understanding gene expression in eukaryotes, and provide insight into mechanisms underpinning one of the major evolutionary transitions since plants moved to land.

Keywords: photosynthesis
Coach Assistant via Projected and Tangible Interface (CAPTAIN)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: Research and Innovation actions
Countries involved: Ireland,Ireland,Italy,Estonia,Spain,Germany,Spain,Spain,Cyprus,Switzerland,Greece,France,France
Call: Personalised coaching for well-being and care of people as they age (H2020-SC1-2017-CNECT-1, 2017)
Start date: 2017-12-01
End date: 2021-06-30
Duration (months): 43.0
Total project cost (EUR): 3990200.0
EU funding (EUR): 3990200.0
Participants: 17
Project status: CLOSED

Older adults typically prefer living at their homes as long as possible. However, they often need to be institutionalized due to the age related problems. Homecare can benefit today from a range of existing technologies including smartphones, sensors, etc., however, their effectiveness is limited by the sense of fear and uncomfortableness that many older adults feel. Most current technologies, in fact, are often not designed for older adults, least of all for users with memory impairments. The derivative limitations become a major barrier, severely limiting use of technological assistance in a home environment. CAPTAIN proposes a “transparent” technology designed to turn the home of the older adult into a ubiquitous assistant specifically designed to compensate for their physical and memory impairments during their daily living. To do so, it leverages on a few state of the art technologies, as follows: “Projected augmented reality” to project, through use of micro-projectors, contextualised (directly on walls, floor, tables, etc.) information and instructions on top of the real environment. Real-time 3D sensing technologies to comprehend the “indoor space” (nature and position of objects and actions of the persons) and to allow transforming it into a ubiquitous tangible interface. 3D sensing, together with speech analysis, will allow device-free comprehension of the environment and of the behaviour of the adults (including its changes). Non-invasive physiological and emotional data analysis from facial micro-expressions and human body pose thanks to scalable, robust, and accurate deep learning and artificial intelligence. The coach will leverage on a motivational engine to promote correct nutrition, physical activity, cognitive and physical training, risk avoidance, and social participation. To achieve this CAPTAIN will foster a truly user-centered co-design philosophy -based on constant involvement of older adult in the design, development, and testing stages.

Keywords: virtual coach,projected augmented reality,non invasive technology
The first compact and easy-to-use microreactor device for Body-On-Chip experiments. (B-On-Chip)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Spain
Call: Supporting innovative SMEs in the healthcare biotechnology sector (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2017-01-01
End date: 2017-05-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

BEOnChip S.L. is a leading Spanish company focused on the field of Micro-biotechnology. We have fully engineered microchips that recapitulate the microarchitecture and functions of living human organs. These microchips, called “organs-on-chips”, can be defined as micro-sized artificial organs and can revolutionize drug development. Now, in the B-On-Chip project we seek bringing to the market the first compact, fully automated and easy-to-use device to link multiple organs-on-chip, enabling the so called body-on-chip experiments. The use of B-On-Chip by the Pharma industry in new drug discovery, has the potential to slash the use of laboratory animals in drug testing. Furthermore, the more realistic data offered by B-On-Chip will accelerate drug development and allow researchers to carry out experiments too risky for human volunteers. Moreover, by linking different “organ-on-chips” together, it will be possible to study how reactions in one organ affect another. B-On-Chip will offer the most accurate data on new drug efficiency, security, toxicity in a fast, automatic and reliable way, with the breakthrough advantage of being able to offer these results in in vitro experiments.

Keywords: organs on chips,human on a chip,3d cell culture,microfluidics,microchips,microreactor,false,positives,drug development,in vitro studies,cell culture assays
Development and Application of Mass Spectrometry Methods for Analysis of Optimal Vitamin D (OPTIMAL-D)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Australia,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-10-15
End date: 2023-04-15
Duration (months): 36.0
Total project cost (EUR): 277940.16
EU funding (EUR): 277940.16
Participants: 2
Project status: CLOSED

Vitamin D has well-recognised actions on the skeleton, but also exerts potent effects on extra-skeletal tissues. Current approaches to measure vitamin D almost exclusively rely on measuring a single, inactive vitamin D metabolite – 25-hydroxyvitamin D. However, vitamin D undergoes complex metabolism that may strongly influence the physiological impact of vitamin D. This is particularly important for extra-skeletal responses to vitamin D, where tissue-specific metabolites appear to be a crucial component of vitamin D activity. Hence, to better understand the broader role of vitamin D in human health there is an urgent need for new analytical methods that more accurately define optimal levels of vitamin D. The current project will develop state-of-the-art mass spectrometry methods for more comprehensive measurement of vitamin D metabolism in blood and solid tissues. Studies during the outgoing phase of the project will establish more comprehensive LC-MS/MS methods for analysis of classical vitamin D metabolism pathways, as well as alternative metabolic pathways. LC-MS/MS methods will also be developed to measure polymorphic variants of the serum vitamin D binding protein, and thereby enable clearer definition of the bioavailability of vitamin D metabolites. These new methods will initially be validated using a large human cohort at the outgoing phase. Finally, novel MALDI mass spectrometry imaging methods will be developed to visualise vitamin D metabolites in solid tissues. Translational application of each new analytical method will be tested on the return phase of the project through studies of large patient cohorts with both serum and tissue samples (placenta and skin tissues). Further enhancement of analytical methods will be achieved through an industrial secondment that will provide access to cutting-edge equipment. The project will establish an entirely new philosophy and methodology for the measurement of vitamin D biomarkers in health and disease.

Keywords: vitamin d,mass spectrometry,method development,liquid chromatography tandem mass spectrometry,mass spectrometry imaging,biomarkers,clinical cohort analysis