Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
The Evolution of Competition and Cooperation: how polymorphisms in microbial populations optimise virulence and mediate drug resistance (MathModExp)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Environmental Biology, Ecology and Evolution
Panel description: Ecology, biodiversity, environmental change, evolutionary biology, behavioural ecology, microbial ecology, marine biology, ecophysiology, theoretical developments and modelling
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2014-CoG, 2014)
Start date: 2015-09-01
End date: 2022-03-31
Duration (months): 79.0
Total project cost (EUR): 1968392.05
EU funding (EUR): 1968392.05
Participants: 1
Project status: CLOSED

Microbes form intricate communities where multiple strains and species communicate cooperate and compete, they can cause life-threatening diseases and destroy our food sources. Metabolism is key to these interactions, yet the way microbes acquire and utilise nutrients is often overlooked in evolutionary studies of pathogenicity, virulence and antibiotic resistance. I will address this by quantifying how microbial community composition is determined by the metabolism, genetics and physiology of individual players, establishing principles by which microbial composition affects virulence and antimicrobial resistance. Competition for resources is the most basic of ecological interactions, fundamental because one cell directly impacts the fitness of others. It is only by incorporating nutrient acquisition and utilisation into studies of virulence and antibiotic resistance that we can predict, and ultimately control, the evolutionary response of microbes to resource stresses, antimicrobials and host defences. I will address two outstanding problems: Challenge one: Pathogens must acquire nutrients from their hosts, but what combination of different resource acquisition and utilisation strategies maximise population success and, therefore, virulence? Challenge two: Antibiotics can perturb the composition of polymicrobial communities from susceptible to resistant species but how is this shift mediated by resource utilisation strategies? Fully integrating empirical data and theory, concepts from ecology and evolutionary dynamics will be key. We will formulate new theoretical tools that allow us to make predictions that will be fully challenged by data, both in vitro and in vivo. This research will exploit advances in the molecular genetics of important plant and human pathogens and we will use them to synthesise polymorphic microbial populations and polymicrobial communities. We will dissect these to understand what makes microbials so resilient to the challenges they face.

Keywords: mathematical models,computational modelling
TOPOLOGICALLY DYNAMIC SCALED OUT DATA CENTRE NETWORKS FOR ENERGY EFFICIENCY AND MANAGEMENT (A-STREAM)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: Ireland
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (H2020-SMEINST-1-2015, 2015)
Start date: 2015-06-01
End date: 2015-09-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The proportional cost of networking in large Data Centre(DC) environments has increased from single digit % up to 30%, as DC scaled-out network architectures have been built to interconnect planet scale compute clusters. In addition, the need to efficiently employ all DC compute and storage resources in a general purpose manner, require that all resources can be brought into use on an "as needed" basis by the User software application. Further, with the ever increasing port data rates in DCs and as the symptoms of exhaustion of switching silicon performance continue to emerge at 100G line rates, and above, there is an urgent need for a smart/novel crosslayer (software to photonics) technology approach to achieve viable economic solutions for next generation DCs networks. Aperilink seeks to bring a patented software optimisation solution to the hybrid switching market place. This solution will augment current packet switches with optical flow switches, plus software networking, enabling next generation integrated networking solutions. This will benefit Large Enterprise users of private and hybrid DCs, both in Europe and Globally. The significant CAPEX cost reduction, coupled with the reduced OPEX costs enabled by photonics, present a significant commercial opportunity to Aperilink. Photonics has a major part to play in next generation Data Centres and the A-STREAM project seeks to analyse the market feasibility of the use of crosslayer technologies in enabling this transition and adoption. Further, the current project seeks to perform market research in chosen market verticals, analyse the structure of these markets and to develop a Go-To-Market Strategy, including pricing and margins. With a successful execution of A-STREAM in SME Instrument Phase I, it is intended to employ the resultant business plan to seek private sector financing in conjunction with support via the SME Instrument Phase 2.

Keywords: efficient data flow forwarding,over dynamically built,on demand network topologies,in competitive low pue scaled out,photonic enabled data centres
Startup Europe Partnership 2.0 (SEP 2.0)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Spain,Italy,Italy,Belgium,United Kingdom
Call: Startup Europe for Growth and Innovation Radar (H2020-ICT-2017-1, 2017)
Start date: 2018-01-01
End date: 2020-07-31
Duration (months): 31.0
Total project cost (EUR): 1499649.5
EU funding (EUR): 1424649.5
Participants: 6
Project status: CLOSED

SEP 2.0 aims at supporting European scaleups ‘go to market’ by providing qualified opportunities. Specifically, the Consortium plans to address three specific areas: - Increase exits and support promising European tech scaleups to access IPO opportunities. - Match established companies with scaleups to generate revenue and enable commercial opportunities. - Expose to the international community of investors via reports, roadshows, and participations in international events. The Consortium will regularly scout and filter the most promising tech scaleups across Europe. The scaleups will be engaged in a set of activities that match their priorities and increase their access to new customers, the distribution of new products or services on the market, and increase the turnover. In order to engage the different stakeholders of the project (namely: scaleups, investors, and corporates) the Consortium aims at organizing 4 Scaleup Summit per year hosted by the main European stock exchanges. Selected scaleups will be invited to each event, together with a group of corporates and investors. The goals of the Scaleup Summit are listed below: - To prepare tech scaleups for opportunities such as exit and going public (IPO). - To increase strategic and commercial opportunities for scaleups by organizing business meetings with corporates. - To facilitate the access to finance for scaleups by organizing meetings and pitching with investors. - To help EU and international investors to gather and improve knowledge of investment opportunities. - To provide networking opportunities for corporates. Following the Scaleup Summit, a selected group of scaleups will enroll into programs to increase the chance of successful IPOs. Scaleups will be continuously assessed and engaged with new opportunities. Finally, a series of reports will be produced to inform on the status of the different European ICT ecosystems and disseminate results.

Keywords: exit,strategic partnership,commercial opportunities,international showcase,research
NETWORKS Doctoral Program (NETWORKS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Co-funding of regional, national and international programmes (COFUND)-Doctoral programmes
Action type: Marie Skłodowska-Curie actions
Countries involved: Netherlands
Call: Co-funding of regional, national and international programmes (H2020-MSCA-COFUND-2019, 2019)
Start date: 2020-09-01
End date: 2025-08-31
Duration (months): 60.0
Total project cost (EUR): 3037440.0
EU funding (EUR): 1518720.0
Participants: 1
Project status: SIGNED

Networks for communication, transportation, finance and energy form the backbone of modern society. Reliable and efficient network infrastructures are of enormous economic and social value, and their importance will only increase in the coming years. A generation of highly skilled networks researchers is therefore urgently needed. These researchers should have a deep understanding of methods to optimize network performance, to control processes running on networks, and to predict how these processes will evolve over time. Our doctoral program will train 14 such researchers, who will gain the necessary scientific knowledge and professional skills for a successful career inside and outside academia, and who will contribute to the challenges posed by complex networks, by performing top-level research in an international environment. The duration of our program is 60 months, at the beginning of which two calls will be opened to appoint the 14 ESRs. They will obtain their PhD degree after 4 years’ training, the nominal duration in the Netherlands. Main objectives. The main objectives of the NETWORKS doctoral program are: - To bring together expertise from two different disciplines, namely mathematics and computer science, and train our ESRs by performing world-class research in, and at the interface between, these disciplines. - To attract talented young researchers and offer them the best possible training and career perspectives. The extensive training program developed by NETWORKS includes scientific training, a broad range of key professional skills, and personal development. - To stimulate transnational and intersectoral mobility and knowledge transfer. NETWORKS will attract young researchers from outside the Netherlands. Our international network will provide them with excellent additional opportunities for transnational mobility. Intersectoral mobility and knowledge transfer are ensured through secondments at industrial and other non-academic partners.

Keywords: mathematics,computer science,stochastics,algorithms,complex networks,network science
mhealth platform for Parkinson’s disease management (PD_manager)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Italy,Italy,Italy,Italy,Greece,Greece,Slovenia,United Kingdom,United Kingdom
Call: Self management of health and disease: citizen engagement and mHealth (H2020-PHC-2014-single-stage, 2014)
Start date: 2015-01-01
End date: 2018-03-31
Duration (months): 39.0
Total project cost (EUR): 4345500.0
EU funding (EUR): 4345500.0
Participants: 12
Project status: CLOSED

PD_manager aims to build and evaluate an innovative, mhealth, patient centric ecosystem for Parkinson’s disease (PD) management. The analysis of experts’ diagnostic behaviour and the decomposition of tasks undertaken by the various actors during the disease management will enable the validation of technology against routine clinical judgment measures . Primary motor symptoms such as tremor, bradykinesia and postural imbalance and non-motor symptoms, such as sleep, speech and cognitive disorders, will be evaluated with data captured by light, unobtrusive, co-operative, mobile devices: sensor insoles, a wristband and the patient’s or caregiver’s (the role of which is of paramount importance) smartphone. Data mining studies will lead to the implementation of a Decision Support Platform with suggestions for modifications in the medication which is the key for prolongation of independence and improved Quality of Life. Compliance with medical recommendations will also be studied; the patient will be motivated to adhere to his medication and diet, will be empowered to exercise and make physiotherapies and will be educated about occupational and speech therapy in order to self-manage his condition. The PD_manager Knowledge Management platform will be built with a cloud-based, open architecture approach based on FI-WARE that will support the use of any commercial set of sensors within the Internet of Things concept. The successful implementation of all abovementioned objectives will be evaluated in a total of 230 patients (the 30 that will be enrolled at the first phase of the project and 200 more during the pilot). In addition to the evaluation of the clinical effectiveness, acceptability and usability of the developed platform and mobile apps a detailed study for the potential of PD_manager as a new care model in terms of health outcomes, quality of life, care efficiency gains and economic benefits will also be conducted.

Keywords: mobile health,patient empowerment,self management of parkinson s
Optical fibre biomimetic sensors based on Lossy Mode Resonances with Molecularly Imprinted Polymers (OFBioSens-MIP)

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: Information Science and Engineering
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-09-05
End date: 2018-09-04
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

This project aims to design and test a low-cost, highly sensitive and selective optical fibre sensor for testosterone, based on testosterone-recognising molecularly imprinted polymers (MIPs) combined with lossy mode resonance (LMR) structures. Optical fibre (OF) sensing has attracted great attention in the last years due to the benefits that it offers compared to traditional electronic sensors. Some of these benefits are small size, biocompatibility and immunity to electromagnetic fields. Among all OF sensors topologies, those based on spectral techniques are the most sensitive and robust. Specifically, OF sensors based on electromagnetic resonances - i. e., surface plasmon resonance (SPR) or LMR - have become a standard in the last years due to their high performance. The exciting potential of LMR-based sensors is combined in this proposal with bio-mimetic polymer technology in order to develop a new generation of sensors with defined chemical specificity. With this aim, the following specific objectives have been established: - To design and optimise the MIP formulations for the binding of testosterone while supporting and enhancing LMRs. - To characterise the properties of the MIPs regarding their structure, orientation and physical and chemical stability. - To study and optimise different deposition methods to coat the OF device with the selected polymer in order to obtain a testosterone sensor. - To model the OF sensor in order to predict its features and the optimum configuration. - To study the sensors’ response to different concentrations of testosterone in samples, evaluating its sensitivity, stability and selectivity. - To develop a small, light and low-cost system for the sensor in order to explore its commercial potential. The methodology and results obtained from this multidisciplinary project represents a generic strategy and will allow the future development of a range of new OF sensors for the detection of other substances of interest.

Keywords: fibre optic sensors,testosterone,lossy mode resonance,molecularly imprinted polymers
Providing Key Account Management services to H2020 SME Instruments, FET and FTI beneficiaries, and enhance innovation management capacity of selected SME's. (ICEKAM-4)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Iceland
Call: EEN H2020 SGA3 (H2020-EEN-SGA3-2018, 2018)
Start date: 2019-01-01
End date: 2019-12-31
Duration (months): 12.0
Total project cost (EUR): 25350.0
EU funding (EUR): 25350.0
Participants: 1
Project status: CLOSED

Main task is to provide KAM services to H2020 SME Instruments, FET and FTI beneficiaries andenhance innovation management capacity of selected SME's with high growth potential. Europe Network with the intention to enhance SME’s potential in a successful result of their participation in The SME instruments project and to assist particularly promising SMEs in enhancing their innovation management capacities. The services are aimed at SMEs in Iceland with a great potential for international growth, but lack knowledge, skills or ability to manage innovation activities. Highly qualified staff of Enterprise Europe Network at the Innovation Center Iceland possesses the skills required and in-depth knowledge of the support required to enable companies to reach their potential.

Keywords: sme instruments,fast track to innovation,fet open,key account management,innovation analysis,innovation management,innovation gap analysis
Episodic Mass Loss in the Most Massive Stars: Key to Understanding the Explosive Early Universe (ASSESS)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Universe sciences
Panel description: Astro-physics/-chemistry/-biology; solar system; planetary systems; stellar, galactic and extragalactic astronomy; cosmology; space sciences; astronomical instrumentation and data
Countries involved: Greece
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-09-01
End date: 2024-08-31
Duration (months): 72.0
Total project cost (EUR): 1128750.0
EU funding (EUR): 1128750.0
Participants: 1
Project status: SIGNED

Massive stars dominate their surroundings during their short lifetimes, while their explosive deaths impact the chemical evolution and spatial cohesion of their hosts. After birth, their evolution is largely dictated by their ability to remove layers of hydrogen from their envelopes. Multiple lines of evidence are pointing to violent, episodic mass-loss events being responsible for removing a large part of the massive stellar envelope, especially in low-metallicity galaxies. Episodic mass loss, however, is not understood theoretically, neither accounted for in state-of-the-art models of stellar evolution, which has far-reaching consequences for many areas of astronomy. We aim to determine whether episodic mass loss is a dominant process in the evolution of the most massive stars by conducting the first extensive, multi-wavelength survey of evolved massive stars in the nearby Universe. The project hinges on the fact that mass-losing stars form dust and are bright in the mid-infrared. We plan to (i) derive physical parameters of a large sample of dusty, evolved targets and estimate the amount of ejected mass, (ii) constrain evolutionary models, (iii) quantify the duration and frequency of episodic mass loss as a function of metallicity. The approach involves applying machine-learning algorithms to existing multi-band and time-series photometry of luminous sources in ~25 nearby galaxies. Dusty, luminous evolved massive stars will thus be automatically classified and follow-up spectroscopy will be obtained for selected targets. Atmospheric and SED modeling will yield parameters and estimates of time-dependent mass loss for ~1000 luminous stars. The emerging trend for the ubiquity of episodic mass loss, if confirmed, will be key to understanding the explosive early Universe and will have profound consequences for low-metallicity stars, reionization, and the chemical evolution of galaxies.

Keywords: massive stars,mass loss,stellar evolution,variability
HBV GenetIc and Proteomic Screen (HIPShot)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: France
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-03-04
End date: 2021-03-03
Duration (months): 24.0
Total project cost (EUR): 185076.0
EU funding (EUR): 185076.0
Participants: 1
Project status: CLOSED

Hepatitis B virus (HBV) is a major global health problem resulting in progressive liver disease, including cirrhosis and hepatocellular carcinoma – the second leading cause of cancer death worldwide. Although HBV structure and genome have been characterized, key aspects of the viral life cycle remain poorly understood because of the lack of a robust HBV infectious tissue culture system. Moreover, despite the development of a safe and efficient vaccine, over 240 million people are chronically infected with HBV. Thus, the development of efficient anti-viral strategies to cure HBV infection remains a critical unmet medical need. To date, there is an important gap of knowledge in basic HBV biology that results in the lack of identified drug targets to cure chronic HBV infection. These limitations can now be overcome using a state-of-the-art HBV tissue culture model combined with technological advances in genetics and proteomics. The aim of HIPShot (Hbv genetIc and Proteomic Screen) is to use cutting-edge screening techniques in human cells to identify host factors that are essential for HBV infection and at the same time targets for antiviral cure. With my expertise in using forward genetic screening and proteomic approaches, I decided to join one of the leading groups in HBV research, lead by Prof. Thomas Baumert (TB) and based at Inserm Unit U1110 of Université de Strasbourg (UdS), to exploit novel technologies in the investigation of host-virus interaction. The proposed project will provide unmatched insights into the basic biology of HBV infection by shedding new light on cellular host factors exploited by HBV to replicate and persist in human cells. These identified host factors will constitute direct drug targets with an important therapeutic potential.

Keywords: drug target identification and validation