Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Architecture and regulation of PI3KC2β lipid kinase complex for nutrient signaling at the lysosome (LYSOKIN)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2020-07-01
End date: 2022-06-30
Duration (months): 24.0
Total project cost (EUR): 162806.4
EU funding (EUR): 162806.4
Participants: 1
Project status: CLOSED

The lysosome is a eukaryotic organelle that coordinates degradative pathways with nutrient sensing and signalling. It therefore dictates cell growth and survival depending on nutrient availability. Dissecting the molecular machinery that enables these functions is of key importance to cell biology. The mTORC1 complex controls cell proliferation and metabolism by nutrient sensing at lysosomes and late endosomes (LyLEs). Recent work from the host revealed that during nutrient starvation, mTORC1 is repressed by the lipid PI(3,4)P2 at LyLEs which is produced by the class II phosphoinositide 3-kinase PI3KC2β. PI3KC2β is recruited to LyLEs via an interaction of its N-terminus with the Raptor subunit of mTORC1. The precise mechanisms of PI3KC2β regulation at LyLEs are unknown. Using a diverse suite of structural and biochemical methods, I propose to define how complex formation of PI3KC2β with mTORC1 and other LyLE associated proteins governs nutrient signaling and protein turnover at LyLEs. The proposed research may pave the way to combat diseases ranging from diabetes to cancer.

Keywords: nutrient signaling,nutrient sensing,pi3kc2,lipid kinase,lysosome,lipid metabolism,protein complexes,protein protein interaction,protein lipid interaction,mtorc1,rab7,disease,hdx ms,xl ms
Marine and Maritime Research, Innovation, Technology Centre of Excellence (CMMI – MaRITeC-X)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Ireland,Cyprus,United Kingdom
Call: Teaming Phase 2 (H2020-WIDESPREAD-2018-01, 2018)
Start date: 2019-10-01
End date: 2026-09-30
Duration (months): 84.0
Total project cost (EUR): 14999735.0
EU funding (EUR): 14999735.0
Participants: 9
Project status: SIGNED

With the economic recession behind it, the economy of Cyprus is expanding at a rate comparable to that of the global economy. Despite this welcoming trend, the investment landscape in research, technology development, and innovation (RTDI), a key factor in the economic competitiveness and sustainability of Cyprus — remains stagnant, with bottom-up initiatives towards a change remaining fragmented and underutilised. As a direct result, the innovation and entrepreneurial ecosystem of Cyprus remains at an embryonic stage, leaving Cyprus as a low-performing RTDI country within the European Union. Innovation activities in SSP cannot proceed without a solid scientific and research and technology development foundation. Despite Cyprus hosting three state universities (and a number of private ones) with a wealth of excellent research and scientific expertise, this significant resource remains untapped and rarely exploited beyond the confines of academia. To reverse this ultimately detrimental relation between research and innovation, Cyprus is in dire need of an intermediary to help the country rise out of its RTDI slumber. This proposal seeks the European Union’s support to establish in Cyprus a Centre of Excellence that fosters world-class research, technology development, and innovation activities. This will not be another academic entity but an institution developing practical solutions/products addressing the needs of the economy, and society, in Cyprus, the EU and the rest of the world in activities related to the marine and maritime sector. The proposed project, Marine and Maritime Research, Innovation, Technology Centre of Excellence (MARiTeC-X), seeks to play a key role in the country’s economic and social transformation through RTDI transformation, by setting up the Cyprus Marine and Maritime Institute (CMMI).

Keywords: marine,maritime,research,innovation,technology,centre of excellence,cyprus,eastern mediterranean
Platform for 3D planning of future energy and linear network connected with augmeted reality for improved public participation (3DEPLAN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Switzerland
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2019-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Interactive collaborative 3D cloud-based platform using a large database of digital maps and satellite images supporting power grid operators in planning the future energy infrastructures faster, cheaper, more visual, more interactive and more socially accepted by improving the communication and social acceptance with public authorities and local communities in the permitting process. Instead of using current manual and paper-based methods, experts and planners at power grid operators will be able to map and visualize in 2D - 3D technical, environmental, regulatory, economic and social factors determining the map of suitability to the construction of new power lines and to interactively calculate in few minutes multiple solutions and their corresponding technical and economic parameters. Instead of using steady images on posters when presenting a project, the usage of virtual and augmented reality (VR/AR) on mobile devices will improve the communication between power grid operators and local communities and administrations in order to increase the chances to find a common agreement. This will reduce the local opposition usually leading to a delay or to the death of projects. The collection of feedback from different locations in the landscape by using AR/VR allows to generate the map of the social acceptance of new power lines and to identify critical regions which need alternative solutions such as underground cables. The map of social acceptance is a novelty that could be applied to plan infrastructures such as wind farms, roads and future transportation systems. The software has been created, tested and validated in collaboration with power grid operators which provided also case studies. Our solution has been awarded with the 1st prize of the Innovation Challenge promoted by Elia Grid in 2017. Two power grid operators are currently paying for our solution.

Keywords: augmented reality for outdoor,processing of satellite images
Development of a systems biomedicine approach for risk identification, prevention and treatment of type 2 diabetes (T2DSystems)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Understanding health, wellbeing and disease
Action type: Research and Innovation actions
Countries involved: Spain,Italy,Spain,Germany,Sweden,Belgium,Denmark,United Kingdom,United Kingdom,Denmark,United Kingdom
Call: Understanding disease: systems medicine (H2020-PHC-2015-two-stage, 2015)
Start date: 2016-01-01
End date: 2019-12-31
Duration (months): 48.0
Total project cost (EUR): 5998602.5
EU funding (EUR): 5998602.5
Participants: 14
Project status: CLOSED

Type 2 diabetes (T2D) is a major public health problem, affecting 55 million European citizens. T2D ensues in individuals who develop a progressive pancreatic beta cell failure. T2D probably comprises a heterogeneous group of diseases. A new molecular taxonomy of T2D is essential for the development of medical care that is predictive, preventive and personalized. Currently available T2D therapies are not disease modifying: they treat hyperglycaemia without addressing its underlying cause, i.e. beta cell failure. In this proposal we seek to identify pathogenic molecular events that operate in the diseased tissue, i.e. the failing human beta cell, at their true level of complexity. T2DSystems will accomplish this ambitious goal by integrating human islet genetic and epigenetic data with disease-relevant environmental perturbations, metabolomics and functional studies, and use this knowledge to identify distinct human islet phenotypes in subgroups of patients. In closely interacting work packages, we will achieve the following goals: • Compile and expand existing European bio-banks and datasets to create the Translational human pancreatic Islet Genotype tissue-Expression Resource (TIGER), a T2D systems biomedicine resource of unprecedented scale; • Develop large-scale data analysis tools and both data driven and mechanistic probabilistic modelling frameworks to exploit TIGER towards system level biological insight; • Translate these findings to identify stratified beta cell phenotypes in human cohorts. This will provide understanding of beta cell pathophysiology in vivo and enable stratified prevention and therapeutics. T2DSystems will enable the development of personalized diagnostic tests, taking into account individual environmental and genetic risk factors. The newly identified molecular disease mechanisms will provide the basis for development of novel therapies and for patient stratification to test individualized therapies.

Keywords: diabetes,type 2 diabetes,pancreatic beta cell,functional genomics,network analysis,transcriptome,dna methylome,chromatin state,metabolome,biomarker,mathematical model
Assessing SNOMED CT for Large Scale eHealth Deployments in the EU (ASSESS CT)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Methods and data
Action type: Coordination and support actions
Countries involved: Austria,Italy,Germany,Germany,Germany,Sweden,Croatia,Belgium,Finland,France,France,Netherlands,Netherlands,Denmark
Call: eHealth interoperability (H2020-PHC-2014-single-stage, 2014)
Start date: 2015-02-01
End date: 2016-07-31
Duration (months): 18.0
Total project cost (EUR): 939717.0
EU funding (EUR): 939717.0
Participants: 15
Project status: SIGNED

ASSESS CT will contribute to better semantic interoperability of eHealth services in Europe, in order to optimise care and to minimise harm in delivery of care. In a joint one-year effort, the ASSESS CT consortium will investigate the fitness of the clinical terminology SNOMED CT as a potential standard for EU-wide eHealth deployments, scrutinising clinical, technical, financial, and organisational aspects. Unbiased towards SNOMED CT adoption, the ASSESS CT project will employ established evaluation approaches from social science. It will scrutinise adoption against two alternative scenarios: to abstain from actions at the EU level, or to devise an EU-wide semantic interoperability framework without SNOMED CT. ASSESS CT will review the current state of SNOMED CT through survey and focus group, regarding its use by IHTSDO members and the fulfilment of semantic interoperability use cases, the relationship with EU-wide recommendations, known technical and organisational drawbacks, and maintenance of the terminology. A series of studies using sampled clinical data will provide new evidence about conceptual and term coverage for selected languages, as well as technical fitness in manual and automated semantic annotation scenarios. The consortium will also analyse the impact of SNOMED CT adoption from a socio-economic viewpoint, encompassing management, business, organisational, and governance aspects. Validation of all working tasks, both political and domain-specific, will be secured through four large workshops with a list of distinguished experts assembled in an Expert Panel, Committee of MS Representatives, and national focus groups. Sufficient budget is reserved, also for coordination across the parallel H2020 Call PHC34 projects. Concrete strategy recommendations will be delivered to both MS, the EC, and SDOs about how SNOMED CT can scale up successful adoption and contribute to building a EU eHealth Interoperability Framework.

Keywords: semantic interoperability,vocabularies,terminologies,classification,coding system,ontologies,snomed ct,assessment,value,advantages,disadvantages,costs,translation,mapping,patient
Benthic diagenesis and microbiology of hadal trenches (HADES)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Earth system science
Panel description: Physical geography, geology, geophysics, atmospheric sciences, oceanography, climatology, cryology, ecology, global environmental change, biogeochemical cycles, natural resources management
Countries involved: Denmark,United Kingdom
Call: ERC Advanced Grant (ERC-2014-ADG, 2014)
Start date: 2016-01-01
End date: 2021-12-31
Duration (months): 72.0
Total project cost (EUR): 3185000.0
EU funding (EUR): 3075736.14
Participants: 2
Project status: CLOSED

With this project, called HADES, we aim to provide the first detailed, combined analysis of benthic diagenesis and microbial ecology of some of the deepest oceanic trenches on Earth. We argue that deep trenches, some of the most remote, extreme, and scantly explored habitats on Earth, are hotspots of deposition and mineralization of organic material. With the development of novel autonomous in situ instrumentation to overcome large sampling artifacts from decompression, we will i) determine rates of benthic metabolism and the importance of the deep trenches for the marine carbon and nitrogen cycles, ii) explore the unique benthic microbial communities driving these processes, and iii) investigate the proposed great role of virus in regulating microbial performance and carbon cycling in hadal sediments. By comparing trenches from contrasting oceanic settings the project provides a completely novel general analysis of hadal biogeochemistry and the role of deep trenches in the oceans, as well as fundamental new insights into the composition and functioning of microbial communities at extreme pressure.

Keywords: marine,deep sea research,hadal trenches,in situ instrumentation,microbiology
Spectral Statistics of Structured Random Matrices (RandMat)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Switzerland
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-01-01
End date: 2022-09-30
Duration (months): 69.0
Total project cost (EUR): 1257442.0
EU funding (EUR): 1257442.0
Participants: 1
Project status: CLOSED

The purpose of this proposal is a better mathematical understanding of certain classes of large random matrices. Up to very recently, random matrix theory has been mainly focused on mean-field models with independent entries. In this proposal I instead consider random matrices that incorporate some nontrivial structure. I focus on two types of structured random matrices that arise naturally in important applications and lead to a rich mathematical behaviour: (1) random graphs with fixed degrees, such as random regular graphs, and (2) random band matrices, which constitute a good model of disordered quantum Hamiltonians. The goals are strongly motivated by the applications to spectral graph theory and quantum chaos for (1) and to the physics of conductance in disordered media for (2). Specifically, I will work in the following directions. First, derive precise bounds on the locations of the extremal eigenvalues and the spectral gap, ultimately obtaining their limiting distributions. Second, characterize the spectral statistics in the bulk of the spectrum, using both eigenvalue correlation functions on small scales and linear eigenvalue statistics on intermediate mesoscopic scales. Third, prove the delocalization of eigenvectors and derive the distribution of their components. These results will address several of the most important questions about the structured random matrices (1) and (2), such as expansion properties of random graphs, hallmarks of quantum chaos in random regular graphs, crossovers in the eigenvalue statistics of disordered conductors, and quantum diffusion. To achieve these goals I will combine tools introduced in my previous work, such as local resampling of graphs and subdiagram resummation techniques, and in addition develop novel, robust techniques to address the more challenging goals. I expect the output of this proposal to contribute significantly to the understanding of structured random matrices.

Keywords: random matrices,random graphs
Revolutionary Artificial Intelligence Solution for Managing and Optimising Google AdWords (AdAI)

Framework: Horizon 2020 — Societal Challenges
Programme: Europe in a changing world - inclusive, innovative and reflective societies
Action type: SME instrument
Countries involved: Denmark
Call: New business models for inclusive, innovative and reflective societies (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-10-01
End date: 2018-12-31
Duration (months): 15.0
Total project cost (EUR): 2471625.0
EU funding (EUR): 1730137.5
Participants: 1
Project status: CLOSED

Cobiro is a revolutionary artificial intelligence (AI) platform for managing and optimising Google AdWords. Our solution is an advanced software and AI algorithm that automatically manages the entire process of extracting keywords, AdWords bidding, purchasing, managing and reviewing. Our competitive advantage lies in our Natural Language Processing (NLP) algorithm that computes and extracts appropriate keywords leading our platform to beat all current market solutions by 20-180% in purchasing conversion rates for up to 75% of the budget spend. Cobiro currently works only through web-shops which is a limiting feature for the most important segment of the market – service SMEs across Europe. The AdAI project will adapt, demonstrate and commercialise our product for a completely new market segment while adding client onboarding functionality throughout our platform that we currently do not possess. We have developed a new Service Module for our platform which is at TRL6. The Service Module when finalised, with its highly-developed NLP algorithm, will enable our platform to extract keywords from simple websites/unstructured data and enable us to offer our platform to all types of service companies across Europe. The AdAI project will move our product to full technical and commercial readiness. Upon successful completion of the AdAI project, Cobiro will be the only company offering such an automated and integrated solution for AdWords management. By year 5 post-project, our turnover expectations are EUR 39,780,000 with profit of EUR 25,857,000 and generation of at least42 new jobs. AdAI will provide European SMEs with an affordable and simple tool that automatically manages all the processes associated with digital search marketing, providing them with higher client flows, high conversion rates and sales. It fits into the EC initiative for a Digital Single Market that seeks to enable businesses across EU to utilise new digital technologies for business growth.

Keywords: artificial intelligence,digital advertising,keywords,adwords,google,digital marketing,natural language processing,digital search engine marketing,software,cloud platform
Educating the next generation of scientists in translational medicine: Focus on eye diseases (transMed)

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: Iceland,Italy,Germany,Germany,Sweden,Belgium,Sweden,Czechia,Netherlands,Netherlands
Call: Innovative Training Networks (H2020-MSCA-ITN-2017, 2017)
Start date: 2017-12-01
End date: 2021-11-30
Duration (months): 48.0
Total project cost (EUR): 3327702.84
EU funding (EUR): 3327702.84
Participants: 14
Project status: CLOSED

Medicine today experiences a gap between basic research and successful clinical translation that delays establishment of urgently needed therapies. This is very clearly so in blinding retinal degenerations (RDs), where most are yet untreatable, even with a wealth of basic and pre-clinical research data available. To address this problem, transMed proposes an innovative programme to educate “translational researchers” that focuses on the bench-to-bedside development of treatments for RD. The transMed consortium joins four academic groups (EKUT, UNIMORE, ULUND, HI) with four non-academic and SME partners (SPPD, INCU, Oculis, PamGene), and five partner organisations (2BBB, BIOLOG, NLO, HCTC, EVI) with intersectoral collaborations already ongoing. Each transMed partner will contribute specific critical expertise to a curriculum covering all major aspects of translational research: From basic research into disease mechanisms and target definition, to drug design and development, in vitro test systems and in vivo disease models, drug delivery systems, biomarkers, good manufacturing practice, toxicological testing and pharmacokinetics, regulatory affairs, intellectual property, all the way to clinical trials and commercialisation. transMed builds on and integrates three relevant translational projects, which are at the early pre-clinical, late pre-clinical, and early clinical stages, respectively, to provide the project’s Early Stage Researchers with the broadest possible overview. The training is completed by e-lectures, the inclusion of dedicated conferences for young researchers, a secondment and hands-on course programme from industry to academia and vice versa, permitting further insight and networking in the European biotech industry. Altogether, transMed will offer its students the opportunity to obtain a competitive PhD degree in several critical areas of biomedical research, providing for a strong employability in both the private and public sector.

Keywords: drug delivery systems,cgmp signalling,retinitis pigmentosa,retina,vision,translational,research,blood retinal barrier,blood brain barrier