Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Scale-up and demonstrate the production of a novel High Resolution piqlFilm for Ultra-secure data storage and long-term preservation of digital and analogue data (piqlFilm-GO)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Germany,Germany,Slovakia,Norway
Call: Fast Track to Innovation (FTI) (H2020-EIC-FTI-2018-2020, 2018)
Start date: 2018-09-01
End date: 2021-02-28
Duration (months): 30.0
Total project cost (EUR): 3911000.0
EU funding (EUR): 2737699.0
Participants: 4
Project status: CLOSED

piqlFilm-GO’s goal is to mature, scale-up and demonstrate the production of our novel high-performance piqlFilm technology (63μm PET for the base, lifetime up to +1,000 years and storage capacity up to 16m pixels per frame) to commercialise our disruptive and patented Piql System for ultra-secure storage and long-term preservation of digital and analogue data. It solves the needs of both End-clients with a focus on guaranteed data authenticity and integrity, and on keeping data for centuries. Our Piql System is based on technology breakthroughs in converting photosensitive film into a digital, migration-free storage medium our piqlFilm. Our piqlFilm has been developed and patented thought the previous Eurostars projects ARCHIVATOR, MILOS and PRESERVIA and a Norwegian research project ASTOR. Piql will monetize their Piql Services based on a franchising business model with 50/50 net revenue share with a network of Piql Partners responsible for selling and delivering services to End-clients. Currently, Piql has 19 Piql Partners across 22 countries worldwide, which Boneheadz Piql principal Partner in central Europe operating in Slovakia. At the upstream of the supply chain, Filmotec, and InovisCoat will generate revenue from the production of the novel piqlFilm consumable to be used by the Piql System. By successfully implementing the piqlFilm-GO project, we will create a measurable impact on the industry-driven companies that form our consortium, quantified as accumulated gross revenue from the sale of €429.2m for the first 5-years’ post project and reach company accumulated net earnings before tax of more than €120.4m. We also expect to create more than 213 new jobs in the consortium.

Keywords: ultra secure data storage,long term digital preservation,photosensitive high performing film,archiving,migration free,digital preservation,cultural heritage,true worm
Smart and sensing robotic system for endovascular interventions with haptic feedback (HAPGuide)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Lithuania
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-07-01
End date: 2019-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

UAB "Inovatyvi medicina" has developed an innovative design of endovascular robotic system HAPGuide. This SMART and SENSING technology allows to perform endovascular procedures without medical personnel being exposed to harmful X-rays. HAPGuide solves the main issues of existing robotic systems and opens up possibilities for safer, faster and more effective endovascular interventions in EU and Worldwide. In comparison to existing systems (with only visual feedback and videogame like control) the main HAPGuide advantage is the haptic feedback and traditional control of endovascular instruments using fine-tuned surgeons’ perception-action-visualization abilities. Future developments involve HAPGuide use in telemedicine and partially automated functions via machine learning. Our system is designed to use all standard endovascular instruments and avoids the need of expensive catheters dedicated for the system. The primary target market of HAPGuide is cath labs performing percutaneous coronary interventions and peripheral vascular procedures in EU and US (more than 5.6 mln. procedures annually). The estimated market potential of HAPGuide robotic system in primary worldwide market exceeds €4 billion. The secondary target market would involve neurointerventional procedures while in the long-run expansion to telerobotics will create new market opportunities. Our revenue model involves four main components: 1) durable robotic HAPGuide system; 2) single use cassette; 3) annual service of the system; 4) HAPLearn training software. A multidisciplinary team with vast experience in medical sciences, medical device development, robotics, mechanical and electronic engineering, product design, commercialisation and business development has joined forces for the implementation of HAPGuide project aiming to bring the technology to clinical practice for benefit of patients, physicians and hospitals and exploit this €4 billion niche market commercial opportunity.

Keywords: robotic cath lab
Developmental Basis of Beak Shape Variation in Darwin’s Finches (Finch Evo-Devo)

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: Life Sciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-05-01
End date: 2018-04-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Darwin’s finches display an extremely high beak shape diversity associated with occupation of various ecological niches. They are the classic textbook example of adaptive radiation under natural selection. The supervisor of this proposal – Dr. Arkhat Abzhanov and colleagues previously used a combination of morphometrics, comparative developmental genetic and functional tests to reveal basic principles underlying beak shape morphogenesis. They showed that the enormous beak diversity in Darwin’s finches could be reduced to three “group shapes” (A, B, and C) and revealed molecular mechanisms causing the scaling–based variation within group “A”, but not yet the processes underlying the more complex shear-based saltational transformation that produced variation between groups. The main objective of this project is to identify the developmental programs underlying the leaps of beak shape diversification during Darwin’s finches’ adaptive radiation – the variation between “group shapes”. I will employ an extensive whole-transcriptome sequencing (RNAseq) screen to search for novel transcripts whose gene expression is associated with the group shape-specific beak curvatures. This will be complemented with genome-wide association study (GWAS) to identify upstream regulators of the actual effector molecules that cause the phenotype. I will validate the best candidates by gain- and loss-of-function tests using retroviral vectors on developing chicken and zebrafinch embryos to reveal their roles in beak morphogenesis. This project will provide novel insights on intrinsic mechanisms that facilitate adaptive morphological diversity, will offer an opportunity for interdisciplinary research interactions and will generate resources valuable to the entire biological community.

Keywords: evolutionary developmental biology,evolutionary developmental genetics,evo devo,rnaseq,gwas,darwin s finches,morphogenesis,craniofacial development,evolvability,aves
Exploring Musical Possibilities via Machine Simulation (Whither Music?)

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: Austria
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2022-01-01
End date: 2026-12-31
Duration (months): 60.0
Total project cost (EUR): 2500000.0
EU funding (EUR): 2500000.0
Participants: 1
Project status: SIGNED

"Whither Music?" was the motto of Leonard Bernstein's 1973 lectures at Harvard, where he analysed the (inevitable?) process that led to what he called the 20th Century Crisis of Music: the gradual decline of tonality, driven by a takeover of tonal ambiguity in the late 19th and early 20th centuries, eventually leading to complete abandonment of tonality in Schönberg's dodecaphony. WHITHER MUSIC? is a project that aims to establish model-based computer simulation (via methods of Artificial Intelligence, Machine Learning and probabilistic modelling) as a viable methodology for asking questions about musical developments, possibilities and alternatives - for musicology, for didactic purposes, for creative music exploration scenarios. Computer simulation here means the design of predictive or generative computational models of music (of certain styles), learned from large corpora, and their purposeful and skilful application to answer, e.g., "what if" questions, make testable predictions, or generate musical material for further analysis, musicological or aesthetic. Making it possible to do this in highly controlled and musically 'valid' ways will require massive research on machine-learning-based music modeling, to obtain generative models that are stylistically faithful, tightly controllable, transparent and explainable - in this way advancing the field of Music Information Research (MIR). At the same time, this will open entirely new possibilities for musicological research, for music education, and for creative engagement with music, some of which will be further explored, in the form of musicological studies, didactic tools and exhibits, and public educational events. To attain this vision, we will need to thoroughly re-think the way music is modeled in AI systems. The project wants to contribute to a redirection of MIR research towards more musically informed modeling, thus eventually addressing not only the "Whither Music?", but also the "Whither MIR?" question.

Keywords: music information retrieval,research mir,ai and music
Sustainable Algorithmic Modeling of Personalized Garments (MYCLOTH)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Computer science and informatics
Panel description: Informatics and information systems, computer science, scientific computing, intelligent systems
Countries involved: Switzerland
Call: ERC CONSOLIDATOR GRANTS (ERC-2020-COG, 2020)
Start date: 2021-02-01
End date: 2026-01-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Clothing is a fundamental and indispensable part of human existence, and dressing people has tremendous societal, economical, and environmental impact. The digital technological revolution has not yet achieved its full potential in the garment manufacturing and retail domain, where many of the processes remain essentially unchanged for a century. In addition, the “fast fashion” approach of selling large volumes of garments at very low prices and changing collections very frequently leads to significant waste of natural and human resources: according to recent research nearly 50% of all manufactured garments are imminently destined for landfill or incineration. A fundamental, radical change is required to the way clothes are designed, manufactured and delivered to consumers, generating value and attachment via quality instead of quantity and curbing toxic overproduction. The goal of this project is to bring transformative technological advances in geometric modeling and optimization of personalized, custom-fitted and fabricable garments in order to crucially support this change. To reach our goals, we must break away from traditional shape representations and modeling pipelines and develop a dedicated mathematical and algorithmic foundation for digital cloth and garment modeling. Our envisioned theoretical basis of the digital garment shape space will on the one hand facilitate a novel interactive modeling framework to support apparel designers in the creative task of template garment design in a reality-faithful manner, and on the other hand serve as the enabling foundation for automated, algorithmic garment personalization to perfectly fit any human body model. In stark contrast to current practice of standardized confection sizes, our framework will enable on-demand fabrication of custom-tailored clothing while being inclusive of the full diversity range of human shapes, and anticipate the proliferation of digital garment fabrication technology.

Keywords: discrete differential geometry,physics based simulation,shape space,interactive shape modeling,digital fabrication,garment modeling,garment fabrication
Sofi Filter – Novel Method for Power Plant Water Treatment (SOFI-PP)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: Finland
Call: Boosting the potential of small businesses for eco-innovation and a sustainable supply of raw materials (H2020-SMEINST-1-2015, 2015)
Start date: 2015-07-01
End date: 2015-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Sofi Filtration has developed a novel and innovative way to process industrial water filtration. A new style of filter that utilises Sofi’s patented technology and process is applicable to several different industry segments and particles as small as 0.5µm and outperforms traditional filters and methods for fine particle removal. Sofi Filtration has initially targeted the mining segment and as the product has been successfully sold there Sofi Filtration is looking to expand to a new market segment of power plant flue gas treatment. Within this context Sofi filter can replace the complex fine particle filtration system pre Reverse Osmosis filtration with a single unit capable of improved flow and filtration rate. Sofi filter is a low opex and low capex solution to a problem that has been difficult and expensive to solve with current technology. The Sofi filter will bring energy reduction, diminishes fresh water needs and waste water production, and helps European industries to meet increasing environmental regulations in a cost-effective and efficient manner. The Sofi-PP project expedites market expansion of Sofi Filtration and the feasibility study that it will produce will create the knowledge base needed for a successful market segment expansion to power generation, as well as outlines the process for future needs with additional potential segments.

Keywords: water,water treatment
Monolithic cointegration of QD-based InP on SiN as a versatile platform for the demonstration of high performance and low cost PIC transmitters (MOICANA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Germany,Israel,Germany,Spain,Switzerland,Greece,France
Call: Photonics KET 2017 (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2021-08-31
Duration (months): 44.0
Total project cost (EUR): 3999302.5
EU funding (EUR): 3999302.25
Participants: 8
Project status: CLOSED

MOICANA aims to deploy a versatile, low-cost and large-volume manufacturing transmitter PIC technology by monolithically integrating InP QD laser structures on a passive SiN waveguide platform and demonstrating a whole new series of high-performance cooler-less transmitter modules for a broad range of applications. MOICANA will invest in the best-in-class materials for the active and passive photonic functions, synergizing InP QD laser structures with the low-loss and temperature-tolerant SiN waveguide platform. It will grow InP QD layers directly on Si substrates and will proceed to Selective Area Growth on SiN chips, aiming at the fabrication and deployment of a whole new series of transmitter modules as monolithically integrated PICs: a) 25GbE SFP28 pluggable Directly Modulated Laser (DML), b) a WDM 100GbE QSFP28 pluggable DML, c) Externally Modulated Lasers, and d) a coherent tunable laser source. In this effort, MOICANA will deploy sophisticated integrated InP QD-on-SiN structures including 25Gb/s DMLs, low-linewidth DFBs and electro-optic modulators and will combine them into versatile and highly scalable transmitter layouts exploiting the rich and low-loss passive function portfolio of the SiN waveguide platform. Its transmitter PIC prototypes will be demonstrated in a broad range of applications in the areas of Data Center Interconnects, 5G mobile fronthaul and coherent communications, highlighting its versatility perspectives and its powerful credentials to form the transmitter technology for many-years-to-go. Finally, MOICANA’s technology will be supported by an EDA software design kit library and PDKs that will be deployed withint its duration, paving the way for a standardized and fabless PIC transmitter eco-system with immediate market take-up capabilities.

Keywords: monolithic heterointegration iii v on si,monolithic heterointegration iii v on sin,selective area growth,silicon nitride,pic transmitters,100gbe ethernet,mobile fronthaul,tunable laser
Raising co-creativity in cyber-human musicianship (REACH)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: France,United States
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 2470250.0
EU funding (EUR): 1892901.25
Participants: 2
Project status: SIGNED

Raising co-creativity in cyber-human musicianship Digital cultures are increasingly pushing forward a deep interweaving between human creativity and autonomous computation capabilities of surrounding environments, modeling joint human-machine action into new forms of shared reality involving "symbiotic interactions”. In the artistic, cultural or educative fields, co-creativity between humans and machines will bring about the emergence of distributed information structures, creating new performative situations with mixed artificial and human agents. This will disrupt known cultural orders and significantly impact human development. Thanks to the computation of semantic structures from physical and human signals, combined with (deep or statistical) generative learning of symbolic representations, we are beginning to comprehend the dynamics of cooperation (or conflicts) inherent to cyber-human bundles. To this end the REACH project aims at understanding, modeling, and developing musical co-creativity between humans and machines through improvised interactions, allowing musicians of any level of training to develop their skills and expand their individual and social creative potential. Indeed, improvisation is at the very heart of all human interactions, and music is a fertile ground for developing models and tools of creativity that can be generalized to other activities, as in music the constraints are among the strongest to conduct cooperative behaviors that come together into highly integrated courses of actions. REACH will study shared musicianship occurring at the intersection of the physical, human and digital spheres as an archetype of distributed (natural / artificial) intelligence, and will produce models and tools as vehicles to better understand and foster human creativity in a context where it becomes more and more intertwined with computation.

Keywords: music,creativity,improvisation,symbiotic interaction,creative agents,machine musicianship,cyber human,co creativity
Signs of Mathematics: Fostering the Emergence of Conceptual Gesture Among Deaf Students (SignEd.Math)

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: Social Sciences and Humanities
Countries involved: Germany,United States
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-10-01
End date: 2023-01-31
Duration (months): 36.0
Total project cost (EUR): 264669.12
EU funding (EUR): 264669.12
Participants: 2
Project status: CLOSED

Deaf learners have been highly neglected in mathematics education research so far. Although numerous studies in the field of deaf education have pointed out deaf students’ problems in learning mathematics and highlight a lack of mathematical skills, empirical research mainly took a deficit-oriented perspective on deaf students' learning instead of trying to better understand the specificity of their learning processes. One aspect shaping their particular way of learning mathematics is their use of spatio-motoric sign language, not only seeing it as a visual means of expression, but also as an embodied way to encounter and communicate mathematical ideas. Building on theoretical insights from my prestudy on the influence of sign language in mathematical conceptualization, this project aims at adding a more practical side to my research program on better aligning math education to deaf students’ ways of doing math. The project combines the two objectives of - designing and developing a learning environment that builds on specific resources and strengths of deaf learners—in particular their use of sign language—in order to realise their mathematical potential, and, - extending the existing knowledge on learning processes and the role of the body therein. This will be realized within a Design Based Research approach, in which development of educational material and of theory go hand in hand while passing several cycles of testing and refinement. In particular, the design is aligned to an embodied approach, assuming that (inter)acting and thinking are deeply entwined in such a way that mathematical thinking develops in activity and, at the same time, becomes expressed in it. The Embodied Design Research Laboratory at UC Berkeley provides excellent conditions to carry out this project while adding a new perspective to the work of the lab. The benefit of the educational learning design for other, linguistically diverse, settings will be explored in the return phase.

Keywords: diversity learning,mathematics education,design based research,deaf education,embodied cognition,sign language,gestures