Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Automated synthesis of S. pneumoniae 7F capsular polysaccharide repeating unit as candidate for conjugate vaccines (AUTOOLIGO)

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: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-04-01
End date: 2017-03-31
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

The goal of this project is to develop an automated synthesis of the Streptococcus pneumoniae 7F capsular polysaccharide repeating unit, which is of high interest for synthetic vaccines against this pathogen. This structural motif has never been synthesized yet, not even by traditional solution techniques. Our approach is highly innovative in the application of automated oligosaccharide synthesis, which will make the synthetic procedure more time- and cost-effective. In the course of the project, a series of orthogonally protected monosaccharide building blocks will be synthesized. The oligosaccharide will be assembled on oligosaccharide synthesizer. Photocleavage in a flow reactor and global deprotection will yield the target molecule. The oligosaccharide will be subjected to bioconjugation with a CRM197 carrier protein to produce conjugate vaccine candidate. This conjugate will be tested for the ability to induce an immune response against S. penumoniae 7F.

Keywords: oligosaccharides,automated synthesis,streptococcus pneumoniae,conjugate vaccine
Monitoring networks and autonomous platforms for odor impact assessment using electronic noses (SENSODOR)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Career Restart panel
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Poland
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-10-01
End date: 2024-09-30
Duration (months): 36.0
Total project cost (EUR): 224438.4
EU funding (EUR): 224438.4
Participants: 1
Project status: SIGNED

Reduction of the emission of unpleasant smell is a priority for branches of industry which introduce odorous compounds to the atmosphere. However, it is also necessary to provide verification of effectiveness of these efforts via monitoring of odor intensity. Dynamic olfactometry is the most popular method of odor measurements, but instrumental methods are increasingly applied for monitoring and evaluation of unpleasant smells generated by different fields of human activity. Electronic noses (e-nose) belongs to dynamically developing instrumental techniques which utilizes holistic analysis. Different ways in which an e-nose can be used for assessment of odor nuisance are monitoring networks, autonomous pltaforms (robots, drones, etc.) and portable devices. Although, installation of e-noses on these platforms is a very interesting way for investigation of air quality such experiment are rarely carried out due to the sensors response drift in time and too low sensitivity of these devices. These drawbacks are still fundamental problems connected to the sensors comprising the electronic nose instruments. Nanotechnology provides means to solve these problems. The researcher will develop an innovative e-nose for odor nuisance assesment based on nanotechnology. The e-nose will be validated and implemented on monitoring stations and mobile platformes for long term monitoring of odor intensity and fast localisation the source of the odor nuisance, respectively.

Keywords: electronic noses,odor nuisance,waste treatment
Advanced Simulation Techniques for Gaseous Detectors: Application on Spherical Proportional Counters (GaGARin)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-04-01
End date: 2024-03-31
Duration (months): 24.0
Total project cost (EUR): 212933.76
EU funding (EUR): 212933.76
Participants: 1
Project status: SIGNED

The “Geant4 and GARfield integration” (GaGARin) project will deliver a powerful and fully validated simulation framework for gaseous detectors. The strengths of the established GEANT4 and GARFIELD++ toolkits will be combined in a flexible framework and made freely available, for the first time, in the public domain to researchers using gaseous detectors for fundamental research and applications. GaGARin will be optimised with advanced compu- tational techniques, targeting growing technologies such as GPUs, and will be exhaustively validated with dedicated measurements from a range of state-of-the-art gaseous detectors, including micro-pattern gaseous detectors (MPGDs) and spherical proportional counters (SPCs). A variety of detector configurations and operating conditions will be explored, to maximally validate the implemented physics modelling. GaGARin will immediately allow for new insights into physics experiments, such as direct dark matter (DM) and neutrinoless double-beta decay searches (0νββ), and design and optimisation of novel detectors. Furthermore, it will enable the implementation of advanced ana- lysis techniques, maximising experimental sensitivity. In industrial applications, where use of gaseous detectors is widespread, GaGARin will open up new possibilities, for example in neutron spectroscopy with SPCs.

Keywords: dark matter direct detection,gaseous detectors,spherical proportional counter,simulation,parallel computing
Augmented Intelligence for logistics (Transmetrics)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Bulgaria
Call: SME instrument (H2020-EIC-SMEInst-2018-2020-3, 2019)
Start date: 2020-03-01
End date: 2022-04-30
Duration (months): 26.0
Total project cost (EUR): 2385437.5
EU funding (EUR): 1669806.25
Participants: 1
Project status: CLOSED

Logistics assets like shipping containers are expensive to store and expensive to move, yet 1 in 3 of them is moved empty, costing €18B/yr. This leads to increased CO2 emissions and lower margins for logistics companies. The underlying problem is knowing day-to-day cargo demand and predicting how it might vary based on holidays, weather, seasons, market fluctuations, and more. Our expertise is predictive analytics for logistics. Global consulting firm Roland Berger places us in the fast-growing "Booking & Optimization Platforms" sector. Our competitive advantages include an advanced AI-based data cleansing stage which lets us use real-world low-quality data. Our tools help cargo companies to increase their operational efficiency, cut carbon, and reduce costs through 1) demand forecasting (based on historical data and external factors) and 2) predictive asset use optimization (shipping containers, railcars, trucks, etc). Our first-generation product, NetMetrics for large companies, required manual installation and hand-tuning. Pilot customer DPDgroup recorded a 14% increase in capacity utilization. 9% fewer trucks were on the road, as per new EU CO2, NO2 and particulates emissions reduction targets. After a successful Phase 1 application, our feasibility study showed need for this EIC Transmetrics project for midsize clients: • Develop predictive asset management functionality • Aggregate logistics data of multiple companies to bring the statistical certainty of large numbers to forecasts for our mid-sized clients. • Aggregate relevant external databases to improve forecasting • Simplify the adoption of our system with try-before-you-buy ease, for quick scaling • Productize data-cleansing stage to allow faster sales cycle and scale-up Transmetrics, our next-generation product, will bring similar efficiency improvements to mid-sized logistics companies, which account for 30% of the transport industry. We plan to reach €+32M revenues by 2024.

Keywords: predictive analytics,transport asset management,data cleansing,improved transport utilization
INTEGRAL COST-EFFICIENT SYSTEM FOR WIND TURBINE TOWERS (NBTECH)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-12-01
End date: 2023-07-31
Duration (months): 44.0
Total project cost (EUR): 2393625.0
EU funding (EUR): 1675537.5
Participants: 1
Project status: SUSPENDED

One of the main wind market trends is to increase the height of wind towers, the power of generators and the blades size in order to take full advantage of available wind resources and thus improve the LCOE. However, such increase has led to a number of limitations, both technical and economic, in the installation of towers over 120 m, and in the transportation of blades of over 60m length. This result in a bottleneck that paralyses this market trend. NABRAWIND TECHNOLOGIES, S.L has developed an integrated solution to cover those two of the most critical needs demanded from the wind market: NABRAWIND has developed NABRALIFT®, a brand-new innovative steel frame tower, reliable and with a competitive cost system that combined with the patented self-erecting system enables assembling, nacelle included, without any limitation in height and with complete independence from auxiliary cranes, thanks to a new lifting concept system based on hydraulic lifting mechanism which allows the system to operate from the ground. Related to blades: NABRAWIND has developed a reliable and durable segmented blade solution, NABRAJOINT®, this technology permits assembling two or more parts of wind blades allowing them to be transported separately and assembled on site. The adoption of the NABRAJOINT® system and modular blades will allow transporting blades over 75m. The overall objective is the validation and demonstration of the functionality and reliability of NABRALIFT® and NABRAJOINT® in real working conditions (164m tower to be built in Navarra, Spain, with Acciona as promoter and 4.5MW WTG from NORDEX) and the introduction of both systems in the main global reference markets of wind power energy (Europe, US and China).

Keywords: wind energy,cost of energy,xxl tower,xxl blade,blade joint,crane,erection system,lcoe reduction
Cultural roots and institutional transformations of teachers’ careers and the teaching profession in Europe (TEACHERSCAREERS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: The Social World and Its Diversity
Panel description: Sociology, social psychology, social anthropology, education sciences, communication studies
Countries involved: Belgium
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-09-01
End date: 2023-08-31
Duration (months): 72.0
Total project cost (EUR): 1498125.0
EU funding (EUR): 1498125.0
Participants: 1
Project status: SIGNED

The teaching profession is central to a number of major issues concerning the possible futures of educational systems. The functioning of the profession suffers from low attractiveness, fragmentation, and teacher shortages. This proposal constitutes the first systematic comparative project in Europe aimed at understanding the role of the institutional dimensions affecting teachers’ careers and the teaching profession as a whole. It has four objectives: [1] to explain the nature of teacher policy over the last thirty years in different educational systems (Belgium, France and England); [2] to understand the changing status of the teaching profession and its impact on the diversification of the teaching workforce; [3] to analyse the processes by which teachers are allocated into increasingly diverse working and professional conditions; and [4] to model and predict teacher attrition and migration within a common but differentiated multilevel framework. This project will adopt a post-comparative mixed-method design organized around four work packages on teacher policy, supply, labour markets and mobility. It will combine five methods: policy analysis of teachers’ recruitment and careers; secondary data analyses of relevant national and international datasets on teacher supply and the profession’s attractiveness; a qualitative, in-depth study of three national labour-market spaces; multilevel multi-group analyses of original datasets on teacher mobility, and semi-structured interviews with non-entrants and early leavers. This project will produce new theoretical knowledge about labour markets for teachers and contribute to the reconceptualization of the nature of institutional change affecting educational systems in a society characterized by the progressive decline of nation states, increased interdependence between societal fields and the fragmentation of individual life spheres.

Keywords: teachers,institutional change,labour markets,teaching profession
Training REsearch and Applications network to Support the Ultimate Real time high accuracy EGNSS solution (TREASURE)

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: Information Science and Engineering
Countries involved: Italy,Australia,Germany,Italy,Italy,Germany,China,Belgium,Korea, Republic of,Russian Federation,Poland,France,France,Netherlands,United States,Netherlands,Netherlands,United Kingdom,Portugal,Canada,Brazil,United Kingdom,Portugal,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2016, 2016)
Start date: 2017-01-01
End date: 2020-12-31
Duration (months): 48.0
Total project cost (EUR): 3386593.8
EU funding (EUR): 3386593.8
Participants: 30
Project status: CLOSED

TREASURE will provide specialist training in the strategic and emerging area of European GNSS. Collectively, GNSS (Global Navigation Satellite Systems) includes systems such as the US Global Positioning System (GPS) and the Russian GLONASS, as well as the new, under development systems like China’s Beidou and most importantly Europe’s Galileo. Galileo is what we call the European GNSS (EGNSS) and is to be fully operational around 2020, therefore the pressing need to invest on research and training right now. This is especially so because GPS has clearly been the frontrunner of all these systems and has dominated the market for two decades now. EGNSS (Galileo) is aimed at changing this market unbalance and is the main focus of this proposal, which concentrates on its use in support of applications demanding high accuracy positioning and navigation. TREASURE’s cohort of 13 young researchers will be given gap-bridging innovative training through an exceptional and unique network of industrial, research and academic beneficiaries, with the aim to form a group of outstanding researchers who would not be able to acquire the equivalent set of skills by training at any individual European institution alone. World-class expertise on EGNSS exists in Europe, however multi-disciplinary research skills need expanding to maximise the enormous potential that there is for promotion and exploitation of this technology. TREASURE addresses that need and responds to the much desired involvement of end-users and businesses, by bringing together four top Universities, one research Institute and four leading European companies, with extensive track record and experience in a wide breadth of disciplines to provide the necessary coordinated research training that will enable the ultimate real time high accuracy EGNSS solution.

Keywords: global navigation satellite systems,galileo,egnss,real time high accuracy positioning,precision agriculture,atmospheric disturbances,offshore operations
Reconfiguring Research and Innovation Constellations (RiConfigure)

Framework: Horizon 2020 — Science with and for Society
Programme: Develop the governance for the advancement of responsible research and innovation by all stakeholders, which is sensitive to society needs and demands and promote an ethics framework for research and innovation
Action type: Coordination and support actions
Countries involved: Italy,Austria,Spain,Germany,Colombia,Hungary,Netherlands,Netherlands,Denmark,Denmark
Call: New constellations of Changing Institutions and Actors (H2020-SwafS-2017-1, 2017)
Start date: 2018-05-01
End date: 2021-07-31
Duration (months): 39.0
Total project cost (EUR): 3517132.5
EU funding (EUR): 3517132.5
Participants: 11
Project status: CLOSED

The RiConfigure project will enable the diversification of constellations, institutions and actors in research and innovation (R&I) by engaging stakeholders, enhancing conceptual clarity on new constellations, and disseminating best practices to practitioners and policy-makers. The project centers on stakeholder engagement in four social labs. In the social labs, actors from research, industry, the public sector, and civil society will explore how each of them can and do initiate and navigate cross-sectoral collaboration in R&I. Explorations in the labs are complimented by 100+ empirical case studies. On this empirical basis, the project produces a ‘quadruple helix’-framework to provide conceptual clarification on new constellations in R&I. Expanding the circle of engagement to ensure stakeholder relevance, practitioners and policy-makers can provide challenges and inquiries to the project’s explorations through dedicated dialogue events. The project enables the spread of good practices by facilitating dissemination throughout practitioners’ and policy-makers’ networks, and by providing training to key stakeholders. The project will reach audiences in all relevant sectors through targeted communication and help actors to initiate and support new constellations in R&I by providing inspiration and guidance in the form of handbooks, infotainment videos, on- and offline training, policy briefs, and evidence-based analyses. The project enables the change of R&I governance frameworks at multiple levels by providing evidence on how such frameworks may hinder or help new R&I constellations and by providing dialogue- and learning-opportunities to policy-makers. Initiated by a consortium of actors from all relevant sectors, the project will speak to crosscutting issues with credibility. The project pays special attention to RRI, but in a manner that integrates with broader issues of open collaboration in R&I and governance support for such collaboration.

Keywords: quadruple helix social labs training governance civil society
Mechanisms of stem cell population dynamics and reprogramming (STEMpop)

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: Finland
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-05-01
End date: 2023-10-31
Duration (months): 66.0
Total project cost (EUR): 1999918.0
EU funding (EUR): 1999918.0
Participants: 1
Project status: SIGNED

How complex but stereotyped tissues are formed, maintained and regenerated through local growth, differentiation and remodeling is a fundamental open question in biology. Understanding how single cell behaviors are coordinated on the population level and how population-level dynamics is coupled to tissue architecture is required to resolve this question as well as to develop stem cell (SC) therapies and effective treatments against cancers. As a self-renewing organ maintained by multiple distinct SC populations, the epidermis represents an outstanding, clinically highly relevant research paradigm to address this question. A key epidermal SC population are the hair follicle stem cells (HFSCs) that fuel hair follicle regeneration, repair epidermal injuries and, when deregulated, initiate carcinogenesis. The major obstacle in mechanistic understanding of HFSC regulation has been the lack of an in vitro culture system enabling their precise monitoring and manipulation. We have overcome this barrier by developing a method for long-term maintenance of multipotent HFSCs that recapitulates the complexity of HFSC fate decisions and dynamic crosstalk between HFSCs and their progeny. This breakthrough invention puts me in the unique position to investigate how HFSCs self-organize into a network of SCs and progenitors through population-level signaling crosstalk and phenotypic plasticity. This project will uncover the spatiotemporal dynamics of HFSCs fate decisions and establish the role of the niche in this process (Aim1), decipher key gene-regulatory networks and epigenetic barriers that control phenotypic plasticity (Aim2), and discover druggable signaling networks that drive bi-directional reprogramming of HFSCs and their progeny (Aim3). By deconstructing complex tissue-level behaviors at an unprecedented spatiotemporal resolution this study has the potential to transform the fundaments of adult SC biology with immediate implications to regenerative medicine.

Keywords: hair follicle stem cells,stem cell niche,mechanotransduction