Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Full scale innovative composite windows frames for Regional Aircraft fuselage barrel on-ground demonstrators (WINFRAME 4.0)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Spain,Spain
Call: Full scale Innovative composite windows frames for Regional Aircraft Fuselage barrel on-ground demonstrators (H2020-CS2-CFP07-2017-02, 2017)
Start date: 2018-11-01
End date: 2021-02-28
Duration (months): 28.0
Total project cost (EUR): 825687.5
EU funding (EUR): 679981.0
Participants: 2
Project status: CLOSED

Validation at full size level of CFRP windows frame manufacturing process (Thermoplastic) and fabrication of 2 shipsets for Regional Aircraft Fuselage barrel on-ground demonstrators. Moreover, an industrial and cost evaluation based on a pre-defined production business case is requested including hypotheses of high volume automated solutions

Keywords: compression molding,thermoplastics,windows frames,fuselage barrel,simulation,assembly,edge sealing,corrosion,dummy glass,rubber mould,mandrels
Canonical and Non-canonical modes of Chromosome Segregation in Oocyte Meiosis (ChromoSOMe)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Cellular, Developmental and Regenerative Biology
Panel description: Structure and function of the cell, cell-cell communication, embryogenesis, tissue differentiation, organogenesis, growth, development, evolution of development, organoids, stem cells, regeneration, therapeutic approaches
Countries involved: France
Call: ERC Consolidator Grant (ERC-2018-COG, 2018)
Start date: 2020-01-01
End date: 2024-12-31
Duration (months): 60.0
Total project cost (EUR): 1561563.0
EU funding (EUR): 1561563.0
Participants: 1
Project status: SIGNED

Cell division is crucial for the development of complex organisms, for the homeostasis of tissues, and for the reproductive capacity of individuals. While most somatic cells are diploid and proliferate through mitosis, multiplication of sexually reproducing species relies on haploid gametes that are generated through a specialized cell division process called meiosis. To achieve this reduction in ploidy, two rounds of chromosome segregation follow a single phase of genome replication. Inaccuracy in this process leads to gametes that carry an incorrect number of chromosomes and to aneuploid embryos after fertilization. In their vast majority, these are non-viable and lead to spontaneous abortion: defective meiotic division is therefore a major obstacle in achieving reproduction. However, the key principles that drive this process are still poorly understood, one main reason being the diversity of the molecular scenarios that have been adopted across evolution to regulate oocyte chromosome segregation. To dissect the key components of oocyte meiotic chromosome segregation, we propose to carry out a multi-disciplinary approach, combining several nematode species with the use of high-resolution live and electron microscopy, cutting edge genomic and proteomic technologies, and biochemistry coupled to in silico modeling. In Work Package 1 (WP1), we will analyze the molecular mechanisms controlling the self-assembly of the chromosome segregation machinery -the meiotic spindle- in the oocyte. WP2 will focus on defining how chromosome segregation is achieved in oocytes with non-canonical kinetochore geometry. WP3 aims at analyzing meiotic divisions in parthenogenetic nematodes with specific meiotic constraints, such as centrosomal oogenesis and unichromosomal genomes. By considering the wealth of mechanisms that can drive chromosome segregation in oocytes, this project will provide decisive steps towards understanding the essential and universal features of female meiosis.

Keywords: oocyte meiosis,kinetochore,microtubule,chromosome segregation
Combinatorial Structures and Processes (CoSP)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Mathematics
Countries involved: Israel,France,Czechia,United States,Canada
Call: Research and Innovation Staff Exchange (H2020-MSCA-RISE-2018, 2018)
Start date: 2019-01-01
End date: 2024-07-31
Duration (months): 67.0
Total project cost (EUR): 869400.0
EU funding (EUR): 749800.0
Participants: 7
Project status: SIGNED

The project brings together combinatorialists of various fields with the aim that they will enrich each other’s techniques. The tool kits they will bring include topology, probability, statistical physics and algebra. These should apply to matching problems (a central topic in combinatorics), algorithmic problems, coloring problems (which are decompositions into independent sets or matchings) and homomorphisms (a generalization of colorings). One umbrella under which many of these can be gathered is the intersection of two matroids, a notion generalizing that of matchings in bipartite graphs. Researchers are baffled by a strange phenomenon – that moving from one matroid to the intersection of two matroids sometimes costs little. The algorithmic problems are indeed harder, but the difference between min and max in the min-max theorems suffer only a conjectured penalty of 1. This connects with a second direction of the research, fine grained complexity, which deals with polynomially solvable problems, and aims to prove, under widely believed assumptions, lower bounds on the exponents in the polynomial bounds. A major question in the field is proving similar tight bounds for approximation problems. A direction connecting matchings, colorings and homomorphisms was initiated recently in statistical physics. It investigates typical algorithmic complexity, of computational problems taken under some probability distribution. While the worst case complexity questions are difficult in general and not clearly practically relevant, when we restrict to a given probability distribution of instances and when we are interested in high probability results, progress has been made, that has contributed also algorithmic insights beyond the probabilistic setting. We propose to address several outstanding open questions from the field. Finally we will work on a deep connection, studied by some of the researchers in the project, between Ramsey theory, Model theory and graph homomorphisms.

Keywords: matching in graphs and hypergraphs,matroid,seth,approximation algorithm,edit distance,randomized algorithm,statistical physics,graph coloring,edge coloring,graph homomorphism
The Intelligent Service Network Operator (ONEIO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Finland
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-10-01
End date: 2022-02-28
Duration (months): 29.0
Total project cost (EUR): 1449000.0
EU funding (EUR): 1014300.0
Participants: 1
Project status: CLOSED

55% of global organizations manage their IT sourcing activities exclusively at an operational level, without considering a strategic layer. Large organizations still spend most of their IT resources in management, integration and maintenance tasks: 37% of large businesses dedicate the majority of their IT budgets to maintenance and management. Complex multi-client/multi-vendor ITSM ecosystems common for large organizations are the main reason for the application of non-automated, decentralized and inefficient processes. This results in a massive amount of manual work for operational Service Desk processing, leading to higher operational costs and poor customer experience. At Service-Flow, we are developing the world’s first SaaS solution for Service Integration: ONEIO, a ready-to-use cloud-based system providing secure, scalable and reliable service integrations for all IT service processes. For less than half the price of its competitors, ONEIO offers an all-inclusive service that does not require separate maintenance costs, software or hardware investments, complex integrations or special service integration skills. Thanks to its SaaS-based nature and its innovative block-based architecture, ONEIO can be set up in minutes. ONEIO also eliminates the need to set up the solution for each new client or vendor. It provides full ITSM system automation, built-in support for ITIL and SIAM, automatic ticket creation, centralized multi-sourcing operational management, operational control, transparency of outsourced services and complete standardization. Service-Flow has already received international acclaim for ONEIO’s initial prototypes by prestigious entities, such as Gartner and CIOReview. ONEIO will allow us to seize the European and global markets and reach EBITDA of €9.3 million in 5 years, incrase our Monthly REcurring Revenue (MRR) from €130,000 to €3 million, create 100 jobs, and reach revenues of €30.9 million. Investing in ONEIO will have a return of 7.9.

Keywords: software,service integration,itsm
Theoretical Chemistry of Unbound Electrons (T-CUBE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Physical and analytical chemical sciences
Panel description: Analytical chemistry, chemical theory, physical chemistry/chemical physics
Countries involved: Germany,Belgium
Call: ERC Starting Grant (ERC-2019-STG, 2019)
Start date: 2020-06-01
End date: 2025-05-31
Duration (months): 60.0
Total project cost (EUR): 1495205.0
EU funding (EUR): 1495205.0
Participants: 2
Project status: SIGNED

T-CUBE aims at the theoretical modeling of chemistry involving the continuum. Traditionally, chemistry has been concerned with electrons that remain bound to the nuclei during a reaction. However, in many settings that deal with X rays or plasma, electrons can enter and leave the system; they are unbound. Most theoretical approaches for unbound electrons are not applicable to extended systems in complex environments. As a consequence, pathways and product distributions of processes such as dissociative electron attachment and Coulomb explosion are poorly understood. This hinders progress in laboratory and technology: The electron is a simple and versatile catalyst, but corresponding applications are still in an infant stadium. T-CUBE seeks to overcome these limitations. Often, unbound electrons can be described by resonances, electronic states with complex-valued energy. In recent years, I contributed to advancing this approach significantly. Small molecules in gas phase can now be described with an accuracy that allows for quantitative comparison to experiment. Here, I propose to investigate the chemistry of unbound electrons in larger molecules and condensed phase, for example, in solutions, polymeric networks, and biomolecules. Aspects that we will address include: energetics and character of resonances in different environments, resulting changes in chemical reactivity, and the interplay of nuclear motion and electron loss. To achieve these goals, quantum chemistry for electronic resonances needs to be advanced substantially. We will develop electronic-structure methods suitable for over a hundred of atoms, a quantum embedding scheme for describing different environments, and molecular dynamics simulations that take into account electron loss. In addition, we will advance the theory of electronic resonances itself. In exemplary applications, we will investigate phenomena involving dissociative electron attachment, electron transfer, and Coulomb explosion.

Keywords: electronic resonances,electron induced chemistry,dissociative electron attachment,coulomb explosion,electronic structure theory,quantum chemistry
Relearning Perception Action In Rehabilitation from a Systems perspective (REPAIRS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Germany,Spain,Germany,Italy,Belgium,France,Netherlands,Portugal
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2021-01-01
End date: 2024-12-31
Duration (months): 48.0
Total project cost (EUR): 3917315.52
EU funding (EUR): 3917315.5199999996
Participants: 9
Project status: SIGNED

Movement disorders related to perception and action, such as stroke, significantly impair functioning in daily living, severely impacting the life of affected individuals and having a huge economic impact. Although rehabilitation practice aims to restore functional ability through re-learning perception-action couplings, it leads to marginal improvements of daily functioning at best. Here it is argued that to improve effectiveness of rehabilitation a systems approach should be adopted to understand processes underlying perception-action disorders. A systems approach takes into account nonlinear interactions between components, enabling to explain for instance why patients do not respond stereotypical to rehabilitation training. REPAIRS (RE-learning Perception-Action In Rehabilitation from a Systems perspective) is a unique and timely training-through-research school, aiming to improve rehabilitation effectiveness. REPAIRS starts from systems-based fundamental knowledge on learning perception-action couplings to build applications to rehabilitation, while exploiting recent technology advancements. This research school provides the required critical mass of top-level researchers connecting European academic, clinical and technology experts to train the next generation of researchers and entrepreneurs in this perspective. REPAIRS studies interaction between four levels of the perception-action cycle: brain, muscles & joints, agent-environment and social, which is integrated with requirements on translation from clinical, technology and philosophical domains. The focus on interactions between levels and domains naturally ensures an interdisciplinary and intersectoral training. Integrating this with a high-level training of transferrable skills, dissemination and communication while exploiting an Experiential Skill Learning Workshop, will boost the employability of the young researchers involved and the innovation potential of Europe through reshaping rehabilitation.

Keywords: perception action,systems science,rehabilitation,re learning,translation,brain,social,rehabilitation technology,autism,stroke,serious gaming,self organisation,complexity science
Unravelling the mechanisms regulating cellular fitness during embryonic development (CFED)

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: 2017-01-01
End date: 2018-12-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Understanding the mechanisms that eliminate unfit cells during development is key not only for proper organ formation but also to prevent tissue degeneration in the adult. Cell competition is a fitness quality control mechanism that occurs between cells of differing fitness levels and results in the selective elimination of those cells that, although viable, are deemed to be less fit than their neighbours. Cell competition is conserved from Drosophila to mammals and although some important regulators of this process have been identified, the mechanisms by which less-fit cells are eliminated are not well understood. Preliminary work in the Rodriguez laboratory has identified the mTOR pathway, a key metabolic sensor, as a possible regulator of cell competition in pluripotent stem cells. A small molecule screen for modulators of cell competition identified that inhibiting mTOR enhances defective pluripotent stem cell elimination during competition, and further studies revealed that mTOR activity is decreased in loser cells when confronted with winner cells. I will study the possibility that mTOR acts as a sensor of the competitive nature of pluripotent stem cells. The specific aims of this project are to find what pathways lead to differential mTOR activation during competition and unravel the mechanisms by which loss of mTOR leads to the elimination of defective stem cells. To answer these questions I will use mouse embryonic stem cells, as well as validate the in vivo relevance of my findings by studying the mouse embryo.

Keywords: cell competition,differentiation,metabolism reprogramming,cellular fitness,tissue homeostasis
Tropical tree mortality in a changing climate (TTMCC)

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: Environment and Geosciences
Countries involved: Sweden
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): 191852.16
EU funding (EUR): 191852.16
Participants: 1
Project status: CLOSED

Climate change increases tree mortality worldwide, and in tropical forests in particular. While it is established that tropical tree mortality increases under hot and dry conditions, key questions regarding why and how remain unresolved. Which traits predispose trees to mortality? How does drought and heat interact to affect tropical tree growth and survival under field conditions? The overall goal of my project is to determine the sensitivity of tropical tree species to heat and drought, and based on this knowledge develop a trait-based tree mortality model that can be used to provide recommendations on which trees are suitable to different climatic regions in Rwanda, central Africa. Such recommendations are crucial for reforestation programs and climate change adaptation in Rwanda, a low-income country which has been heavily deforested in the past. To achieve this goal, I will identify which tree traits (structural, hydraulic, physiological, biochemical) that control the vitality and survival of tropical trees in multi-species plantations established at three sites in Rwanda. The sites exhibit large natural variation in precipitation and temperature, and experimental manipulations of water supply (irrigation, rainfall exclusion) are imposed at each site. Traits will be determined using a broad range of gas exchange, hydraulic and biochemical methods in the field as well as in the lab. A multi-trait model of drought- and heat-induced tree mortality will be derived based on data from the experimental sites, and evaluated using independent data from additional sites with larger trees. Based on this model, I will provide tree plantation recommendations to relevant stakeholders in Rwanda and the region. By bringing together perspectives from experimental ecology and vegetation modelling to address critical knowledge gaps this projects will make original contributions to improve the understanding and predictability of tropical tree mortality in a changing climate.

Keywords: climate change,tropical rainforests,trait based model,warming,drought
Artificial intelligence for yield estimations at fruit orchards (AGERPIX)

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: 2019-12-01
End date: 2020-02-29
Duration (months): 3.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Crop yield estimation is an important task in apple orchard management. The current practice of yield estimation is based on manual counting of fruits by workers. It is extremely time-consuming, labour-intensive, highly inaccurate, and it is not practical for large fields. Agerpix provides accurate predictions to help growers improve fruit quality and reduce operating costs by making better decisions on intensity of fruit thinning and plant nutrients and treatments (mid-season), size of the harvest labour force, machinery and materials and logistical planning of storage, packing and cold warehouses, not to mention the development of a commercialization strategy tailored to the expected production, achieving a 50% cost reduction in orchard management operations. Artificial Intelligence algorithms are used to identify, measure diameter ranges, and envision the fruit leafiness and vigour, providing yield estimations over the plant heights and plant health variables. Several piloting projects for the yield estimation system at top apple producers (Nurfri - #1 Spanish and Blue Whale #1 French among others) have been deployed with +140ha analysed with a precision of 90-95%. AGERPIX system has been adapted to four different apple varieties. After successful validation activities, CODESIAN is developing a customer portfolio worth 38M€ in five years. However, because AGERPIX is offering as a B2B service and because the technology can be easily replicated to other fruits (ongoing validations with table grapes and peach with minor AI/sensor adaptations), a careful scale-up design to strengthen the business plan towards covering global needs fruit markets (apple: 517 M€; table grape: 124 M€; peach: 160M€; tangerine: 299 M€; avocado: 54 M€) is needed. After further data gathering through extensive validations across new fruits, CODESIAN projects +7,9M€ revenues with +4,5M€ EBIT and +60 new jobs created by 2024.

Keywords: artificial vision,smart farming,high precission agriculture,crop yield estimations