Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Innovative Manufacturing Routes for Next Generation Batteries in Europe (IMAGE)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Partnership: EGVI (cPPP)
Countries involved: Austria,Germany,Germany,Germany,Germany,Italy,Spain,Spain,Belgium,France,Canada
Call: Production of next generation battery cells in Europe for transport applications (H2020-GV-2017, 2017)
Start date: 2017-11-01
End date: 2021-10-31
Duration (months): 48.0
Total project cost (EUR): 4948026.25
EU funding (EUR): 4948026.25
Participants: 13
Project status: CLOSED

As of today, Europe remains not competitive in terms of Lithium battery cell development and especially manufacturing. This lack of competence and competitiveness could quickly spiral down into a complete loss of this key technology for electrification in the EU. Thus IMAGE will significantly contribute to sustainably develop the European Li-battery cell manufacturing competence and capability by creating a competitive, production-oriented research & development framework within Europe. A realistic and well-documented roadmap towards the manufacturing of cost-effective and competitive battery cells within Europe will emerge. This will be enforced by establishing a distributed battery cell production base that will be able, after careful upscaling of production, to supply the now burgeoning electric vehicle industry. From this context, the main goal of IMAGE is to push European’s Li-battery industry and academia to take over a leading role in the development and manufacturing of Next Generation Li-Ion cells. IMAGE has the following major objectives: 1) Develop generic production techniques for next generation battery cells based on high specific energy Li-metal battery cells. This will include a modular development approach that will be easy to up-scale while remaining flexible and safer to replace in case of any contingencies and market/ manufacturer configuration changes. 2) Identify energy and resource efficient cell manufacturing technologies and assets tailored to the existent European industrial infrastructure. This will include the identification of bottleneck factors and challenges that could be addressed in the present European industrial context. 3) Develop a progressive, multiple-tier technological and production framework that is able to cope with the inherent technological changes and advancements characteristic to this dynamic field. Thus, there will be several technologies covered by IMAGE, each having different technological maturity level.
A new Agricultural Industry Standard for Autonomous Plant Production (RoBoCut)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2020)
Start date: 2020-05-01
End date: 2022-04-30
Duration (months): 24.0
Total project cost (EUR): 3533925.0
EU funding (EUR): 2473747.0
Participants: 1
Project status: CLOSED

RoBoTec PTC GmbH is a young company and already highly awarded SME specialized in the automation of breeding and mass propagation of plants via plant tissue culture. Based in northern Germany RoBoTec PTC GmbH was founded as a spin off of Bock Bio Science GmbH, a professional tissue culture laboratory and nursery, service laboratory for cloning and propagation. In the 100 years long company history several market-disrupting technologies have been developed by Bock. Now the RoBoTec PTC GmbH makes a further step to become a technology leader and system supplier for autonomous in vitro plant cultivation by developing and marketing the RoBo®Cut. As a unique solution for in vitro plant propagation of high-quality plant species the innovative system uses 3D image recognition and deep learning software, able to recognise complex plant structures, cut them without contact and place them in new culture vessels - all automatically in a completely sterile production cell. Potential customers rethink laboratories as the RoBo®Cut helps to achieve new levels of quality and efficiency. Better work planning and increased productivity will be possible, but the decisive aspect here is, that the system offers the opportunity to brings plant propagation back to Europe, which has been handed over to low-wage countries due to cost pressure. Environmental costs, process risks and a considerable transfer of knowledge can now be avoided. As a first mover we subsequently want to equip all plant laboratories with the RoBo®Cut. system as a standard equipment for PTC plant propagation. For an initial market introduction, Bock addresses the European and American markets. The global distribution network will help to quickly enter the world market and generate 15% relevant market share and a turnover of 165 Mio Euros within the next years.

Keywords: sterile plant propagation automation
Mirror symmetry in Algebraic Geometry (MSAG)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: United Kingdom
Call: ERC ADVANCED GRANT (ERC-2020-ADG, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 2434492.0
EU funding (EUR): 2434492.0
Participants: 1
Project status: SIGNED

Mirror symmetry is a phenomenon first discovered by string theorists in 1989. This phenomenon, when described in mathematical language, posits that certain kinds of geometric objects, known as Calabi-Yau manifolds, come in pairs X, Y. Further, mirror symmetry posits an intricate relationship between the geometry of the members of the pair. This relationship can be summarized by the rough statement that the symplectic geometry of X is isomorphic to the complex geometry of Y. Mathematical explorations of mirror symmetry have led to deep and profound insights in algebraic, logarithmic, symplectic and differential geometry, as well as algebraic combinatorics and representation theory. Working with Siebert, I have developed a program (colloquially referred to as the Gross-Siebert program) for exploring the underlying geometry of mirror symmetry using methods from algebraic and tropical geometry. I propose to use the techniques developed with Siebert to make significant breakthroughs in our understanding of mirror symmetry. Recently, we gave a general mirror construction for log Calabi-Yau pairs and maximally unipotent degenerations of Calabi-Yau manifolds. This allows the possibility of dramatic progress in the subject. The construction of a mirror goes by way of the construction of its coordinate ring. These coordinate rings can be viewed as the degree zero part of a `relative quantum cohomology ring.' I plan to generalize the construction of this ring to all degrees. A proof of mirror symmetry at genus zero could then be realised by constructing an isomorphism between this ring and the ring of polyvector fields of the mirror. I will also use the new constructions of mirrors to develop powerful new methods for constructing algebraic varieties, and I will develop a range of practical techniques for understanding the mirrors constructed. I also propose to explore a range of other enumerative invariants in the context of the Gross-Siebert program.

Keywords: mirror symmetry,gromov witten theory,tropical geometry
Ethnicity-Based Parenting for Child’s Online Safety/Risks (EU EB-PARENTING)

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: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-09-27
End date: 2023-09-26
Duration (months): 24.0
Total project cost (EUR): 202158.72
EU funding (EUR): 202158.72
Participants: 1
Project status: SIGNED

Ethnic vulnerability to risk factors, such as stigmatisation, is inhibitory to parental self-efficacy, either inflating or deflating their confidence in how much they are aware of their child’s online safety/risks. Confident parents tend to underestimate how frequently their child has experienced online risks, such as a perpetrator or victim of cyberbullying. In contrast, unconfident parents tend to overestimate it. However, to date, mainstream databases (e.g., Web of Science, Scopus, EBSCO, or ProQuest) show no empirical evidence as a multivariate statistical analysis of the negative association between the self-efficacy and risk awareness among ethnic minority parents in Europe. Although there is a large dataset of EU Kids Online survey (2018) that provides multi-national and multi-ethnic data (e.g., self-reported use of common language at home) about children and adolescents’ online safety/risks in 19 European countries, it has yet to be used for the statistical analysis of parenting for child’s online-safety among ethnic minorities. One reason is the lacked focus on cross-national and -ethnic validation of scales that can measure national and ethnic variations in the parental self-efficacy and awareness; another reason is the lack of theoretical and conceptual models6 applicable to the cross-national and -ethnic comparison. Relying on the EU Kids online data, the proposed project (entitled as EU EB-PARENTING - Ethnicity-Based Parenting for Child’s Online Safety/Risks) will bridge this research gap in an innovative way by proposing a novel (a) theoretical framework, (b) conceptual model, and (c) measurement scale of ethnicity-based parenting for child’s online safety/risks, especially among ethnic minorities in Europe. Given that an outstanding ethnic difference is observable in gender roles, the novelty further ensues from taking into account interaction effects of parent-child gender differences on the risk awareness, mediation, and self-efficacy.

Keywords: ethnic minority,online safety,risks,parental self efficacy,parental mediation,parental awareness
IMDEA Nanociencia Postdoctoral Training Programme in Nanoscience (IDEAL)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Fellowship programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Spain
Call: Co-funding of regional, national and international programmes (H2020-MSCA-COFUND-2020, 2020)
Start date: 2022-01-01
End date: 2026-12-31
Duration (months): 60.0
Total project cost (EUR): 2206800.0
EU funding (EUR): 1103400.0
Participants: 1
Project status: SIGNED

IDEAL is a new fellowship programme promoted by Fundación IMDEA Nanociencia that over 5 years aims to attract 12 talented postdoctoral researchers to undertake excellent research in any of the scientific areas of research at the Institute: (i) Organic Nanosystems for light harvesting and energy conversion, (ii) Fundamental properties of 2D materials, (iii) Nanomedicine against cancer and infection; (iv) Nanomagnetism and critical raw materials and (v) Solid state Quantum devices for information technologies and the (iv) Technology Transfer Platform. Key objectives: • Offer fellows a well-balanced research independence and mentoring from experienced researchers with access to an excellent infrastructure of the highest level for the pursuit of projects in nanoscience and nanotechnology. • Provide a full research training and career development programme, with a series of training and career development activities and opportunities. • Provide a dynamic research community and a lively international atmosphere focused on interdisciplinary research. Candidates will carry out projects of 30 months choosing a Partner Organization (PO) to develop a secondment (between 2 and 6 months). The candidates have the freedom to choose a PO best suited to their training needs from IMDEA’s broad spectrum of collaborators. The intersectoral, international POs (17 have provided letters of support), the majority of which are non-academic, will offer the fellows a chance to build their curriculum, offering experience outside of an academic environment. IMDEA Nano is a non-profit Foundation created in 2006 jointly by the regional government of Madrid and the government of Spain to shorten the distance between research and society; providing new capacity for research, technological development and innovation in the field of Nanoscience and Nanotechnology. IMDEA Nano holds the Severo Ochoa Centre of Excellence Award -the highest national recognition of scientific excellence.

Keywords: nanoscience,nanotechnology,innovation,interdisciplinary,intersectoral
Finite and Descriptive Combinatorics (FDC)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: United Kingdom
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): 1581387.0
EU funding (EUR): 1581387.0
Participants: 1
Project status: SIGNED

This project will explore emerging deep connections and build new bridges between some areas that study finite combinatorial structures (such as extremal and probabilistic combinatorics, distributed algorithms, etc) and those that study analytic objects (such as the limit theory of discrete structures, descriptive set theory, measured group theory, random processes on infinite graphs, statistical physics, etc), with applications going both ways. One part of this project is to apply combinatorial methods in search of constructive answers to analytic problems whose currently known solutions rely on the Axiom of Choice. One such direction is to investigate a possible transference principle that allows to turn some existence results for finite graphs obtained via the very powerful occupancy method into measurable solutions of the corresponding problems of descriptive combinatorics. Similarly, the project will explore promising connections between descriptive set theory, efficient distributed algorithms, invariant random processes on infinite vertex-transitive graphs, etc. Some problems that the project will investigate from this point of view are the Spectral Gap Conjecture, Mycielski's divisibility problem, and the existence of measurable graph factors and colourings. Also, various important unsolved problems of extremal combinatorics will be approached via the limits of discrete structures (which are analytic objects that encode large-scale properties). In addition to using some established techniques (such as flag algebras and the stability method), the project will look for novel ways of applying the analytic aspects of limit objects that have a great potential in this respect. New software for general-purpose flag algebra calculations will be written and made freely available. The project will also study some general fundamental questions about graph limits (such as approximability by finite graphs, identification using partial subgraph counts, etc).

Keywords: definable graphs,descriptive combinatorics,descriptive set theory,local algorithms,extremal and probabilistic combinatorics,flag algebras,graph limits,occupancy method,turan problem for hypergraphs
Intelligent Secure Trustable Things (InSecTT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: Electronic Components and Systems
Action type: Innovation actions
Partnership: ECSEL (Art-187)
Countries involved: Austria,Spain,Spain,Ireland,Italy,Italy,Italy,Italy,Austria,Ireland,Italy,Italy,Austria,Spain,Ireland,Türkiye,Poland,Sweden,Sweden,Türkiye,Finland,Finland,Slovenia,Sweden,Finland,France,France,France,France,Netherlands,Netherlands,Netherlands,Portugal,Portugal
Call: ECSEL-2019-1-IA (H2020-ECSEL-2019-1-IA, 2019)
Start date: 2020-06-01
End date: 2023-08-31
Duration (months): 39.0
Total project cost (EUR): 43933028.39
EU funding (EUR): 11254628.78
Participants: 62
Project status: SIGNED

Artificial Intelligence of Things (AIoT) is the natural evolution for both Artificial Intelligence (AI) and Internet of Things (IoT) because they are mutually beneficial. AI increases the value of the IoT through machine learning by transforming the data into useful information, while the IoT increases the value of AI through connectivity and data exchange. Therefore, InSecTT – Intelligent Secure Trustable Things, a pan-European effort with 52 key partners from 12 countries (EU and Turkey), will provide intelligent, secure and trustworthy systems for industrial applications to provide comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together. InSecTT aims at creating trust in AI-based intelligent systems and solutions as a major part of the AIoT, i.e. moving AI to the edge and making AI and ML based systems trustable, explainable and not just a black box. InSecTT will foster cooperation between big industrial players from various domains, a number of highly innovative SMEs distributed all over Europa and cutting-edge research organisations and university. The project features a big variety of industry-driven use cases embedded into various application domains, i.e. smart infrastructure, building, manufacturing, automotive, aeronautics, railway, urban public transport, maritime as well as health. The demonstration of InSecTT solutions in well-known real-world environments like trains, ports, airports and the health sector will generate huge impact on both high and broad level, going from citizens up to European stakeholders. It will establish the EU as a center of intelligent, secure and trustworthy systems for industrial applications enabled by a strong industry with a strong reputation and an informed society, in order to enable products and services based on AI compliant to European values and “Made in Europe".

Keywords: interoperability,artificial intelligence,trustability,explainable ai,trustable ai,connectivity,security,reliability,safety,cross domain,use cases,reusability,computing,storage
Novel Organic recovery using Mobile ADvanced technology (NOMAD)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable and competitive bio-based industries and supporting the development of a European bio-economy
Action type: Innovation actions
Countries involved: Germany,Italy,Italy,Malta,Greece,China,Romania,Greece,Netherlands,United Kingdom,United Kingdom,United Kingdom
Call: High-quality organic fertilisers from biogas digestate (H2020-SFS-2019-1, 2019)
Start date: 2019-10-01
End date: 2023-06-30
Duration (months): 45.0
Total project cost (EUR): 5581371.28
EU funding (EUR): 4250477.0
Participants: 15
Project status: SIGNED

NOMAD gathers partners from China, Greece, the UK, Italy, Romania, Malta and the Netherlands to develop an innovative, small-scale tech solution designed to recover fibre and specific nutrients from digestate for formulation into high performance bio-fertiliser products. It addresses key digestate issues including environmental and health risks, handling, variable composition and the increasing volume being produced. Currently, turning digestate into bio-fertiliser products is not feasible for most small plants due to lack of available, cost-effective equipment, and the expense of achieving end of waste standard PAS110. Building on partners’ previous work, the proposed technology will utilise heat from combustion of waste timber and recovered energy from a collection vehicle to improve energy efficiency while simultaneously addressing regulatory compliance. Specific nutrients will be extracted from the liquid fraction and water recovered for reuse. The remaining sludge will be blended & composted with ash (derived from waste timber combustion) and biochar to produce optimised, nutrient-balanced soil conditioners. The model rests on the solution’s mobility and modularity as one unit could serve multiple plants, tackling digestate from a range of feedstocks with shared costs making it more viable than installing systems at individual plants. Other project activities include stakeholder engagement; field trials across contrasting regions; policy recommendations; a comprehensive impact assessment of the business model; and dissemination of key outputs. The project aims to replace non-renewable mineral fertilisers with low-carbon, organic equivalents; minimise environmental and health risks associated with digestate; create a new, disruptive business model for rural decentralised AD; and achieve a more favourable climate for circular economy development through successful stakeholder engagement.