Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Space-time DPG methods for partial-differential equations with geophysical applications (GEODPG)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Spain,United States
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-01-01
End date: 2024-12-31
Duration (months): 36.0
Total project cost (EUR): 263732.16
EU funding (EUR): 263732.16
Participants: 2
Project status: SIGNED

The main objective of this project is to design stabilized space-time adaptive techniques based on Discontinuous Petrov-Galerkin (DPG) methodology for the simulation of transient Partial Differential Equations (PDEs), with special emphasis on advection-dominated- diffusion and wave propagation problems. The final goal is to apply the resulting methods to improve the seismic imaging of the Earth’s subsurface for CO2-sequestration, a long-term storage process that contributes to fight climate change and mitigate global warming. In many geophysical problems governed by PDEs, it is important to accurately approximate some specific features of the solution. Goal-oriented adaptive techniques in finite element methods are powerful tools to achieve such goals with optimal computational cost. However, due to the unstable nature of the governing equations in geophysical flows, employing stable discretization methods is crucial in these kinds of algorithms. Stabilized methods such as DPG avoid refinements in unnecessary places of the domain. In this project, we will develop methods, algorithms and a software for transient PDEs employing stable time-marching schemes based on DPG method supporting goal-oriented adaptivity. Finally, we will present the obtained results to several European oil and gas companies in order to apply our method in real world scenarios. The host has an extensive experience in geophysical applications and the Third Country (TC) host is one of the inventors of the DPG method. This set up, together with the applicant’s experience in goal-oriented adaptive algorithms for PDEs, gives the applicant the perfect environment to efficiently develop the proposed project. Moreover, the knowledge and experience acquired during the fellowship will make her a potential applicant to obtain a strong research position in Europe. The host and the TC host will also benefit from the resulting advances on the topic and the industrial collaborations derived from this project.

Keywords: earth s subsurface exploration,co2 sequestration,finite element method,numerical simulations,discontinuous petrov galerkin method,goal oriented adaptive algorithms,partial differential equations
Intelligent and serverless, cloud-based infrastructure for medical diagnostic devices (KiCloud)

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: 2020-09-30
Duration (months): 10.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

44% of all EU hospitals spend >1 hour per day on repetitive administrative tasks by printing and scanning medical diagnostics data for collection in the patient´s electronic records (EMR). The main reason for this is lack of data transfer possibility from stand-alone systems and failing compatibility of software systems to connect the wide variety of diagnostic hard- and software products. Even when such data transfer software is available, cloud options are not supported and it is too costly to have small players (e.g. hardware producers and clinics) benefit from it. As a consequence, extra manual labour is induced, and potentially crucial data is lost due to the less detailed scans in the EMR. We are Devimetrix S.L. and have launched our Kiversal series in 2019 with the mission to connect all medical diagnostic devices into one medical infrastructure applying IoT approaches. Since then, we have launched a high-connectivity audiometer and are in the process of certifying and launching a spirometer for lung diagnostics. To connect these devices, we are developing KiCloud that forms the basis of our connected approach. KiCloud is a serverless and cloud-based software product that promotes data transfer and processing, and applies deep learning (AI) to support specialists in medical diagnosis. KiCloud is initially offered to the audiologic and respiratory diagnostic market, in which hospitals and audiological centres profit from more efficient healthcare by secure, resilient and fast data handling and processing. As a result, patients benefit from higher quality healthcare and reductions in waiting times and process times due to increased productivity of health professionals. Later, we plan on opening KiCloud up to the entire hospital diagnostics market. Successful deployment of KiCloud by 2022 will result in >15 new positions within Devimetrix and a 15% efficiency boost in medical diagnosis, allowing for dramatic cost and time reductions.

Keywords: internet of things iot,connected medical devices,artificial intelligence,electronic medical records,medical data infrastructure
Antibiotic persisters during infection: a tail of intestinal dominion (PERSIST)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: France,United States
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-11-01
End date: 2024-10-31
Duration (months): 36.0
Total project cost (EUR): 257619.84
EU funding (EUR): 257619.84
Participants: 2
Project status: TERMINATED

Persisters are transiently non-growing bacteria cells that evade antibiotic treatment and immune response. Persisters have been associated with antibiotic treatment failure and the spread of antibiotic-resistance (AMR) through mobile genetic elements. Consequently, persisters contribute significantly to the morbidity and mortality of bacterial infections, and increased medical costs. Although it is known that many pathogenic bacteria are able to form persisters, the occurrence of persistence among commensal bacteria is yet unexplored. This project aims to identify and exploit commensal persisters able to antagonise and displace pathogenic persisters, offering opportunities for the development of innovative treatment options to arrest both the relapse of persistent infections and the horizontal transfer of AMR. To this effect, I will use a combination of cutting-edge omics-based tools, in vivo murine models and the well-established and relevant Salmonella enterica serovar Typhimurium enteric model pathogen. After identifying commensal species forming persisters (WP1), I will assess the ability of these persisters to compete with Salmonella persisters during infection (WP2) and to arrest in vivo horizontal gene transfer from Salmonella persisters to intestinal microbiota (WP3). My goal is to become a leading academic scientist in the intertwining fields of antibiotic-resistance and antibiotic-persistence, with emphasis on the involvement of persister cells in the maintenance and spread of mobile genetic elements encoding AMR. The state-of-the-art computational and experimental training at the pioneering groups of in vivo persister biology at Harvard Medical School (HMS) in USA and of genome spatial organization at the Institut Pasteur (IP) in France will be instrumental towards achieving my goal. Apart from empowering my career track, this fellowship will foster future collaborations between HMS and IP, and promote transfer of knowledge in Europe.

Keywords: bacterial persisters,salmonella infections
Analysis and control of large scale heterogeneous networks: scalability, robustness and fundamental limits (HetScaleNet)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: United Kingdom
Call: ERC Starting Grant (ERC-2015-STG, 2015)
Start date: 2016-08-01
End date: 2022-07-31
Duration (months): 72.0
Total project cost (EUR): 1498531.0
EU funding (EUR): 1498531.0
Participants: 1
Project status: CLOSED

The proposed research will make a contribution towards the analysis and synthesis of large scale complex networks: fundamental theory will be developed and important applications will be addressed, by extending tools from control theory. Networks are present throughout the physical and biological world, but nowadays they also pervade our societies and everyday lives. Major challenges that will be addressed are: I. The engineering of large scale heterogeneous networks that are guaranteed to be robust and scalable. II. The reverse engineering of biological networks. A distinctive feature of the networks we would like to engineer, which falls outside more traditional domains in systems and control, is that of scalability, i.e. the ability to guarantee robust stability for an arbitrary interconnection by conditions on only local interactions. The methodologies that will be developed will have a significant impact in various applications where scalability is important, such as data network protocols, group coordination problems and power distribution networks, as they can lead to network designs with guaranteed robustness, thus avoiding conservative schemes with poor performance. The proposed project will also make a contribution towards the reverse engineering of biological networks at the molecular level. Life in the cell is dictated by chance; noise is ubiquitous with its sources ranging from fluctuating environments to intrinsic fluctuations due to the random births and deaths of molecules. The fact that a substantial part of the noise is intrinsic provides a major challenge in control theoretic methodologies. How can feedback be used to suppress these fluctuations, what are the associated tradeoffs and limitations, and how does nature manage to handle these so efficiently? These are questions that will be addressed by developing tools for analyzing known configurations, but more importantly, by deriving fundamental limitations that hold for arbitrary feedback.
Establishing services enhancing the innovation management capacity of SME´s in Hamburg and Schleswig-Holstein (INNOKAM 2015-16)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Germany,Germany
Call: Enhancing the innovation management capacity of SMEs (H2020-Adhoc-2014-20, 2014)
Start date: 2015-01-01
End date: 2016-12-31
Duration (months): 24.0
Total project cost (EUR): 132737.5
EU funding (EUR): 132737.5
Participants: 4
Project status: CLOSED

The three partners Investitionsbank Schleswig-Holstein (IB.SH), TuTech Innovation GmbH (TuTech) and Wirtschaftsförderung und Technologietransfer Schleswig-Holstein (WTSH) are part of the Enterprise Europe Network(EEN) consortium in Hamburg and Schleswig-Holstein and established a well-known regional one-stop-shop for all EU-related enquiries for SMEs and regional stakeholders. For the period 2015 - 2020 objective is to expand the client base and deepen the level of assistance by offering the new service of “Key Account Management” (KAM) and “Enhancing SME Innovation Management Capacity” (IMC). Aim is to face existing lack of innovation management capacity in small and medium sized companies (SME) and support their innovative activities in order to creating economic impact (competitiveness, growth and jobs). The guiding principle is that the services will be tailored to the needs of the identified regional innovators and innovation systems. In this context the KAM will be targeted at beneficiaries of the SME instrument under Horizon 2020, the IMC will address other highly innovative SMEs. The IMC will help companies to establish effective innovation management systems that enhance the realisation of growth opportunities. The KAM focuses on the those weaknesses which endanger the success of the funded project. It will assist in finding specialised coaches and establishing a coach-client relationship. Both approaches aim to raise the company´s competitiveness and profitability. In the framework of the project the consortium will acquire annual user licenses for the IMP3rove tool in order to assess gaps and needs of the SMEs. In this context senior staff of the EEN will attend training to ensure that the tool is used correctly and the assessment exercise complies with the envisaged EU standard. In addition the participation in training courses gives the chance for a best practice exchange with other EEN colleagues and will be of great benefit for the consortium.

Keywords: innovation management capacity building,key account management,sme instrument,enterprise europe network,hamburg and schleswig holstein,germany
Intersections of class and ethnicity in paid domestic and care work: theoretical development and policy recommendations based on the study of 'majority workers' in Italy and in the USA (MAJORdom)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: Italy,United States
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-08-01
End date: 2022-02-28
Duration (months): 36.0
Total project cost (EUR): 262269.0
EU funding (EUR): 262269.0
Participants: 2
Project status: CLOSED

This project is about paid domestic and care workers (PDCW) who are citizens and members of the ethnic majority of the country where they work. PDCW as a labor sector employs at least 67 million people globally and these include not only migrants but also ‘majority’ workers (ILO, 2017). This project contributes to recent scholarship on this topic – mostly focusing on workers with a minority or migrant background – by drawing attention to the workers who are white working-class women, both in the United States and Italy. In the light of the recently passed European Parliament Resolution “Women domestic workers and carers in the EU” (EPRS 2015), it is important to reflect on this labor sector as a constitutive element of employment for working-class women in many countries. More research is needed because PDCW is not only a way of “doing gender”, or “doing” race, ethnicity, migratory statuses, but it simultaneously concerns class differences between women. A comparison between Italy (a Southern European country with a well-grounded tradition of PDCW and high levels of regulation of the sector) and the United States (a Western country of great ethnic diversity but limited regulations on PDCW) is of the greatest interest because in both of these countries ‘majority’ workers account for a substantial portion of PDCW while differing considerably in terms of legal regulations of PDCW, as well as class structure and ethnic composition. The project consists of policy and data analysis concerning PDCW in the USA, Italy and EU, and of qualitative inquiry on how the intersection of gender, ethnicity and class impact impacts on ‘majority’ workers in American and Italian PDCW. The experience of the Fellowship, academic environment of an American and Italian university and the research results will enable the Fellow, who specialized in PDCW in Poland, to develop research and transferable skills and establish her position as an international and comparative scholar of PDCW.

Keywords: paid household work,care work,migrant domestic workers,intersectionality,workers rights,majority,minorities,white working class,working poor,women s employment
On the edge: The influence of multiple stressors on thermal tolerance in poleward edge populations in a climate change era (EdgeStress)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Denmark,Canada
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2020-02-01
End date: 2023-01-31
Duration (months): 36.0
Total project cost (EUR): 245719.8
EU funding (EUR): 245719.8
Participants: 2
Project status: CLOSED

In response to climate change, species are moving in a poleward direction to avoid lethal temperatures. The Arctic is warming fast and non-indigenous species are expanding into the Arctic seeking a ‘thermal refuge’. However, recent work shows that temperatures in the Arctic already expose some boreal species to temperatures above their thermal limits, thus these results suggest that the Arctic is already too warm to provide a thermal refuge. Moreover, climate change is not only affecting organisms by warming their environment. For instance, in the Arctic climate change is also causing ocean acidification and an unpreceded melting of sea ice and the Greenland Ice Sheet. Combined, this leads to physical and chemical changes of the environment that exposes organisms to a novel and complex mosaic of multiple stressors fluctuating through time and space. The project EdgeStress improves knowledge and perspectives on the effects of multiple climate stressors on populations at their poleward distribution edge. Dr Jakob Thyrring is the researcher behind EdgeStress. During a two-year stay at University of British Columbia (UBC) in Canada he will collaborate with professor Christopher Harley, a world leading expert on coast ecology. The third year of EdgeStress will be conducted at Aarhus University (AU), Denmark, where to Dr Thyrring will transfer skills obtained from Canada. At AU, Dr Thyrring will utilise these skills to conduct research in the High Arctic West Greenland, a region characterized by rapid changes. EdgeStress provide novel information on how multiple environmental stressors and biotic interactions affect species thermal tolerance. Thus, the results are important in order to improve climate change predictions and its consequences for species and communities. The results will have implications globally and locally as it will be used to inform stakeholders, fish farming companies, researchers and governments, and the public about climate change impacts.

Keywords: climate change,arctic,thermal biology
Fast-forward genomics of somatic variants adaptable to climate change for cultivar innovation in grapevine (SomaGrapeGenome)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2020-08-31
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

Grapevine, with its derived products, is the most relevant fruit crop for the European agro-ecosystems, economy and culture. Even more so than for many other crops, climate change is threatening the sustainability of vitiviniculture. Increasing high temperature and drought episodes experienced in traditional European winegrowing regions have already begun to alter grapevine physiology and grape ripening, which translates into a decline in wine quality, particularly in Southern regions. Somatic variants with improved traits that at the same time maintain the attributes that make a varietal wine recognizable are traditionally selected as new clones of grapevine cultivars. Somatic variation is therefore a socially accepted source of diversity that can be exploited to anticipate and adapt production to changing environments and fluctuating consumer demands using more sustainable cultivation systems. However, for this innovation to become feasible through clonal breeding, it is necessary to identify the genetic origin of this variation to guarantee the protection and commercial distribution of selected clones. In this project, somatic mutations leading to climate change adaptable fruit features will be identified for the first time. This will be done by studying ripening variants selected by clonal breeding in Tempranillo, the most relevant cultivar for the vitiviniculture of the Iberian Peninsula and the third most widespread red wine cultivar in the world. Taking advantage of high throughput-sequencing technologies, I will combine cutting edge genomics and fast-forward genetics to pursue the following specific aims: 1) Produce a de novo-assembled reference genome for the Tempranillo grapevine cultivar, 2) Characterize at the molecular level the somatic variation of Tempranillo clones with ripening phenotypes suitable for quality wine production under warmer climate and, 3) Locate the somatic mutations responsible for climate change adaptable phenotypes in these clones

Keywords: plant breeding,somatic variation,grapevine,climate change adaptation,fast forward genetics,comparative genomics,genome assembly,transcriptomics,fruit ripening regulation,viticulture