Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The development of manganese-based alkene epoxidation, cis-dihydroxylation and alkane C-H oxidation catalysts (MANGANOXI)

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: Chemistry
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-09-01
End date: 2017-08-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

The catalytic oxidation of alkenes to give epoxides and syn-diols, as well as the hydroxylation of C-H bonds in alkanes using environmentally benign reagents and conditions remains an area of significant challenge in contemporary synthetic chemistry and highly effective catalytic systems remains elusive. In the “MANGANOXI’ project a novel and ecologically friendly approach towards the development and application of manganese-based catalytic systems is proposed. The project first focuses on the use of a known manganese complex (MnTMTACN) together with Lewis Acids and hydrogen peroxide as a stoichiometric oxidant, generated using a co-catalyst from dioxygen, in the epoxidation of alkenes. The project will then develop analogues of other ligand systems to integrate ‘click’ generated 1,2,3-triazoles as pyridine surrogates, which should result in modular ligand systems which can be readily tuned. In addition, in order to obtain easier isolation of products and enable catalyst recycling, the most effective ligand systems will be anchored onto selected support using ‘click’ chemistry. The use of the copper-catalysed [3+2] ‘click’ Huisgen cycloaddition of an alkyne and azide is indispensable, as it facilitates both the anchoring of the ligand on the support and the incorporation of the pyridine surrogate into the ligand architecture. The catalytic oxidation reactions using the immobilized metal-ligand complex will then be conducted in a flow reactor, which will result in enormous potential of application in industry, by virtue of estimated high reproducibility and unrestrained scale-up of reactions. The “MANGANOXI’ project will not only contribute to European excellence and competiveness, but also reflects the principles of Green Chemistry and Technology for Sustainable Development.

Keywords: epoxidation,cis dihydroxylation,c h oxidation,manganese complexes,catalysis,tmtacn,click chemistry,metal organic framework mof
Spatiotemporal dynamics of CD8+ T cell responses to hepatocellular carcinoma (Hepatocarcinoma IVM)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Society and Enterprise panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Italy
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-07-01
End date: 2019-06-30
Duration (months): 24.0
Total project cost (EUR): 168277.2
EU funding (EUR): 168277.2
Participants: 1
Project status: CLOSED

CD8+ T cells have a key role in eliminating tumors that affect the liver. The protective capacity of these cells relies on their ability to migrate to the liver, recognize antigens and deploy effector functions. While some of the rules that characterize CD8+ T cell behavior in the cancerous liver have been characterized at the population level, we have only limited knowledge of the precise dynamics of intrahepatic CD8+ T cell conduct at the single-cell level. In preliminary data for this project we have developed advanced imaging techniques that allow us to dissect the interactive behavior of CD8+ T cells within the mouse liver at an unprecedented level of spatial and temporal resolution. We predict that this approach, combined with a new model of hepatocellular carcinoma created ad hoc, will generate novel mechanistic insights into the spatiotemporal determinants that govern the capacity of CD8+ T cells to home and function in the tumor-bearing liver.

Keywords: cd8 t cells,intravital imaging,dynamics of immune responses,liver,hepatitis b virus,hepatocellular carcinoma,immunopathology
Development of simple to use point of care tests for zoonotic pathogens and their validation for use in clinical research setting (ZOONOMARKS)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Finland
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2014, 2014)
Start date: 2015-05-01
End date: 2015-10-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Our major goal is development of simple to use point of care tests for zoonotic pathogens and viral hemorrhagic fevers (VHF), and their validation for use in clinical research setting. Zoonosis is any process whereby an infectious disease is transmitted between different species of animals. The term zoonosis is here used specifically to refer to diseases that originate in other species of animal, but that get transmitted to humans. Zoonoses in which humans are infected may originate in either domestic animals or wildlife, such as insects, mammals, reptiles, bats, or birds. This application contains a draft business plan with feasibility study that verifies the technical and economic viability of the new diagnostics in the proposed clinical validation. In phase 1 a comprehensive business plan will be produced aiming in phase 2 to develop a comprehensive rapid response diagnostic system for zoonotic pathogens and hemorrhagic fever viruses, with implications for surveillance of all emerging pathogens. Furthermore, in phase 2 the developed tests will be evaluated by end users of the tests – by several research and clinical diagnostic laboratories.

Keywords: biomarkers,clinical research,zoonosis,hemorrhagic fever,virus infection
Towards a New Frontier in Autophagy Inhibition: The Development of a Novel Class of Chemical Probes and Identification of Their Associated Biological Target (inhibitAUTO)

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: Chemistry
Countries involved: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-03-01
End date: 2020-02-29
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

This action aims to discover a novel class of autophagy inhibitors and newly develop chemical probes that can identify their protein targets and dissect their biological mode of action. Autophagy dysregulation is intrinsically linked with major European healthcare challenges, including cancer. The identification of new classes of druggable autophagic proteins will have broad implications for the development of novel and more effective cancer therapeutics. To address the aims of this action, this proposal seeks support to initiate a pioneering and holistic chemical biology programme, which combines the newest technologies in synthetic chemistry and cell biology. Phenotypic investigations in the host lab recently identified new inhibitors of autophagy based on a novel scaffold, which modulates autophagy through an exciting but unknown pathway. In this action the use of a newly introduced sp2-sp3 cross-coupling reaction will allow systematic variation of the scaffold, exploration of its structure-activity relationship, and improvement of the potency of these inhibitors to facilitate the preparation of high-quality chemical probes. A focused compound collection (>100 compounds) will be prepared and investigated in cell-based assays, with the aim of establishing a broad, potent and selective class of inhibitors. The inhibitory mode of action will then be rationalised through identification, validation and engagement of the associated biological targets using further cell-based investigations and biophysical assays. Chemical probes will be generated from the most active inhibitors and used to identify and interrogate the druggability of a novel protein target with potentially huge significance for biomedical science. My ambition is to become an independent academic researcher in chemical biology at a leading European institution, and this Fellowship provides a vital opportunity for me to advance my scientific and career potential.

Keywords: autophagy,chemical biology,synthetic organic chemistry,chemical probes,biological target,identification,cell biology,cell machinery,biological mechanisms,cancer,metastasis
openEO - a common, open source interface between Earth Observation data infrastructures and front-end applications (openEO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Austria,Germany,Belgium,Belgium,Switzerland,Slovenia,Netherlands
Call: EO Big Data Shift (H2020-EO-2017, 2017)
Start date: 2017-10-01
End date: 2020-11-30
Duration (months): 38.0
Total project cost (EUR): 1989001.25
EU funding (EUR): 1989001.25
Participants: 10
Project status: CLOSED

The capabilities of the latest generation of Earth observation satellites to collect large volumes of diverse and thematically rich data are unprecedented. For exploiting these valuable data sets, many research and industry groups have started to shift their processing into the cloud. Although the functionalities of existing cloud computing solutions largely overlap, there are all custom-made and tailored to the specific data infrastructures. This lack of standards not only makes it hard for end users and application developers to develop generic front-ends, but also to compare the cloud offerings by running the same analysis against different cloud back-ends. To solve this, a common interface that allows end- and intermediate users to query cloud-based back offices and carry out computations on them in a simple way is needed. The openEO project will design such an interface, implement it as an open source community project, bind it to generic analytics front-ends and evaluate it against a set of relevant Earth observation cloud back offices. The openEO interface will consist of three layers of Application Programming Interfaces, namely a core API for finding, accessing, and processing large datasets, a driver APIs to connect to back offices operated by European and worldwide industry, and client APIs for analysing these datasets using R, Python and JavaScript. To demonstrate the capability of the openEO interface, four use cases based chiefly on Sentinel-1 and Sentinel-2 time series will be implemented. openEO will simplify the use of cloud-based processing engines, allow switching between cloud-based back office providers and comparing them, and enable reproducible, open Earth observation science. Thereby, openEO reduces the entry barriers for the adaptation of cloud computing technologies by a broad user community and paves the way for the federation of infrastructure capabilities.

Keywords: earth observation,cloud computing platforms,big data analysis,application programming interfaces,copernicus
Constructing an evolutionary atlas of the immune landscape in lung cancer (TRACERxTME)

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: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2019-04-01
End date: 2021-03-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: CLOSED

The immune system imposes a continuous selective pressure that influences the evolutionary trajectories of tumour cell populations. The interplay between evolving genetics of tumour cells and the corresponding immune response is poorly understood. A deeper understanding of tumour microenvironmental constraints upon cancer evolution may define an evolutionary rulebook and help to inform the rational and personalized design of combination immunotherapies for the treatment of cancer. In this study, we aim to integrate detailed genomic information from the TRACERx lung cancer cohort (TRAcking lung Cancer Evolution through therapy (Rx), a multiregion longitudinal study aiming to study >5000 tumour regions from 842 patients) with highly multiplexed tumour microenvironment imaging mass cytometry data in order to decipher the dynamics of distinct microenvironmental cell types during the disease course and tentatively begin to construct the rulebook of cancer. We will characterize how the tumour genome and microenvironment evolves throughout the disease course by analyzing multiregion tumour samples taken at time of surgery, relapse and death through the fast-autopsy PEACE study (Posthumous Evaluation of Advanced Cancer Environment). Successful completion of these aims will generate the most complete understanding of the lung tumour microenvironment to date within the contexture of the evolving tumour genome. This knowledge will ultimately inform the design of innovative precision medicine strategies in lung cancer.

Keywords: imaging mass cytometry,cytof,tumour evolution,tumour genomics
Automotive Intelligence for/at Connected Shared Mobility (AI4CSM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: Electronic Components and Systems
Action type: Research and Innovation actions
Partnership: ECSEL (Art-187)
Countries involved: Austria,Austria,Germany,Germany,Germany,Germany,Italy,Italy,Austria,Germany,Germany,Germany,Italy,India,Germany,Germany,Germany,Italy,Italy,Lithuania,Norway,Norway,Belgium,Latvia,Czechia,Czechia,Netherlands,Netherlands,Netherlands
Call: ECSEL-2020-2-RIA (H2020-ECSEL-2020-2-RIA-two-stage, 2020)
Start date: 2021-05-01
End date: 2024-04-30
Duration (months): 36.0
Total project cost (EUR): 41434080.71
EU funding (EUR): 11791110.16
Participants: 42
Project status: SIGNED

The European Green Deal defines 4 key elements for a sustainable mobility and automotive industry, namely: climate neutrality, zero pollution Europe, sustainable transport, and the transition to a circular economy. Digital technologies are a significant enabler for attaining the sustainability goals in mobility and transportation. The EC is taking initiatives to ensure that digital technologies such as AI, 5G, IoT and cloud/edge computing can accelerate the transition of the automotive industry to electrical, autonomous, connected, and shared vehicles. The current COVID-19 situation accelerates this trend. The AI4CSM project will develop advanced electronic components and systems (ECS) and architectures for future mass-market ECAS vehicles. This fuels the digital transformation in the automotive sector to support the mobility trends and accelerate the transition towards a sustainable green and digital economy. Having assembled some of Europe’s best partners from industry, research and academia, AI4CSM will deliver key innovations in technical areas including: sensor fusion and perception platforms; efficient propulsion and energy modules; advanced connectivity for cooperative mobility applications; vehicle/edge/cloud computing integration concepts; new digital platforms for efficient and federated computing; and intelligent components based on trustworthy AI techniques and methods. ECAS vehicles enabled by embedded intelligence and functional integration for future mobility, becomes the pivotal factor for the automotive sector to address the Green Deal principles. AI4CSM consists of 8 collaborative R&D clusters, gathering 41 partners from 10 countries. AI4CSM will reinforce user acceptance and affordability by convenience and services for the major transition to a diverse mobility. AI4CSM addresses the increasing demand of mobility, supporting future traffic concepts and strengthen the European automotive manufacturing base as a global industry leader.

Keywords: secure connected automatedand cooperative mobility,embedded computing,sustainable propulsion,interaction between humans and vehicles,zero pollution
Scalable And Flexible optical Architecture for Reconfigurable Infrastructure (SAFARI)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,United Kingdom,Portugal,Denmark
Call: Optical communications (H2020-EUJ-2014, 2014)
Start date: 2014-10-01
End date: 2017-09-30
Duration (months): 36.0
Total project cost (EUR): 1485818.75
EU funding (EUR): 1485818.75
Participants: 4
Project status: CLOSED

Highly scalable & flexible optical transport networks are urgently required in order to meet the demands for unrelenting exponential data traffic growth (estimated at 40 - 50 % per annum). The number and diversity of bandwidth intensive applications and services is rapidly increasing, leading to new demands on transport networks. The present optical transport networks based on conventional fibres, however, are facing fundamental limits in capacity/throughput and are lacking in terms of network flexibility and control. The Scalable And Flexible optical Architecture for Reconfigurable Infrastructure (SAFARI) project aims at developing programmable optical hardware, and Space-Division Multiplexing (SDM)-based optical component technologies capable of realising highly scalable & flexible optical transport networks for the long term future. The high level objectives of the SAFARI project are to: - Develop programmable optical hardware allowing novel multi-flow transport functions which is scalable to at least 400 Gbps/channel transport, and implement the critical interworking capability required between the software-defined network (SDN) layer and the physical layer. - Develop SDM-based optical transport technology based on super-dense, high-count multicore fibres (MCFs) and multicore erbium-doped optical fibre amplifiers (MC-EDFAs). The technology should be capable of supporting more than 30 cores per-fibre. - Undertake system experiments on scalable & flexible optical transport networks based on the newly developed SDN-controlled interworking capability and capacity-scalable hardware, showcasing the unique functionality and capabilities made possible. Specific attention will be focussed on demonstrating that the SDN-controlled programmability developed is compatible with both existing single-mode-fibre transmission systems and future SDM-based systems, allowing for a graceful upgrade scenario with current systems.

Keywords: software defined networks,space division multiplexing,multicore fibre
Design Impact Observatory (DesImO)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Estonia,Greece,Denmark,United Kingdom
Call: Peer learning of innovation agencies (H2020-INNOSUP-2018-2019-05, 2020)
Start date: 2021-02-01
End date: 2022-01-31
Duration (months): 12.0
Total project cost (EUR): 50000.0
EU funding (EUR): 50000.0
Participants: 4
Project status: CLOSED

The main objective of the project is to collaboratively address a common innovation support challenge, through the concept of the Twinning+ methodology. Design Impact Observatory (DesImO) aims to bring four organisations together, to jointly explore best practices and provide guidelines and tools regarding effectively measuring Design and its impact on SMEs. During the implementation of the project, the partners will peer review past and on-going initiatives focusing on measuring impact of Design interventions in the business sector (and especially in SMEs). The good practices will be identified and further researched on how they were set up, what data collection methodologies they applied, what were the advantages and limitations of those methods. Using the Twinning Advanced methodology, this initiative will lead to the elaboration of a Design Options Paper (DOP), which will include the results of the peer-review process and of the pilot testing, and will also act as a backbone of how to set up a ‘Design Impact Observatory’. This will help other innovation agencies to monitor the level of integrating Design – or any other driver of innovation – into business and its impact on SMEs.

Keywords: smes,design,monitoring and measuring impact
Properties of nanomaterials made from misfit-layered compounds revealed by electron microscopy and simulations (PROMISES)

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: Physics
Countries involved: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-09-01
End date: 2023-08-31
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: SIGNED

The novel class of nanomaterials made from misfit-layered compounds offers intriguing properties. However, due to the complex, non-symmetric, structure of the misfit-layered compounds even down to the atomic scale, the analysis of these nanomaterials is a highly challenging task. Our PROMISES proposal will allow to reveal the structure and (opto)electronic properties of these nanomaterials (especially 1D nanomaterials) by combining an experimental and theoretical approach. The experimental analysis comprises advanced electron microscopy and spectroscopy at high spatial resolution as well as related experimental techniques, such as x-ray photoelectron spectroscopy and cathodoluminescence, all of which will be applied to analyse individual nanostructures. The obtained experimental results, particularly once the atomic structure has been revealed, will serve as a basis for the theoretical analysis that will be conducted via ab-initio simulations using the time-dependent variant of the density functional theory. We especially strive for studying these 1D nanomaterials under external stimuli such as elevated and liquid-nitrogen temperature and biasing to assess their properties under application-relevant conditions by employing in-situ electron microscopy. With this approach, we intend to fully reveal the structure and properties of the nanomaterials, which will be of great interest to a broad audience and potentially fuels their application. The work will be carried out by an experienced researcher with a strong background in methodological development of electron microscopy who will diversify and enhance his competences by means of an experimental analysis of the novel class of nanomaterials and by acquiring skills in computational physics. In addition, our PROMISES proposal will strengthen the collaboration between the hosting institutions and enable the main hosting institution to reinforce crucial competence in nanofabrication and ab-initio simulations.

Keywords: misfit layered compounds mlc,1d nanomaterials,nanotubes,electron microscopy em and spectroscopy,in situ em,time dependent density functional theory tddft