Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Smart Proxy Models for Reservoir Simulation (SPM-RS)

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: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2021-09-15
End date: 2023-09-14
Duration (months): 24.0
Total project cost (EUR): 202158.72
EU funding (EUR): 202158.72
Participants: 1
Project status: CLOSED

Despite the progress in renewable energies, oil and gas remain the primary source of energy. Recovery from hydrocarbon reservoirs is subjected to three steps: primary, secondary and tertiary. The primary step results from the intrinsic reservoir energy; the second stage usually consists of injection of water or gas to support the pressure; and the third stage is the process of extracting the oil that cannot be recovered during the previous stages, by injecting miscible gas, thermal and chemicals. To assess the performance of implemented methods during the recovery steps, reservoir simulations are usually performed. However, these traditional simulations are known to be time-consuming, and significant number of runs is required to achieve optimal results. This project will use a combination of advanced methods including optimization, statistics and data-driven techniques, to develop a novel strategy for establishing user-friendly smart proxy models which aim at reducing significantly the run-time in reservoir simulation tasks. The project will be performed at four levels: the physical and numerical aspects of the recovery methods, sampling strategies to select runs for the proxy, learning techniques to build the proxy, and their application for optimizing recovery plans. The project has ultimate multidisciplinary aspects, including reservoir engineering, data science and environment (as CO2 storage is included in the project). The project will be carried out by the experienced researcher who worked during his PhD on the application of data-driven techniques for resolving petroleum engineering problems. The experienced researcher will collaborate with supervisors with a strong background in reservoir simulation and optimization. The transfer of knowledge from the project will have a twofold benefit, to the host institution and to the researcher. Expected results have the potential to improve the knowledge about simulation calculability using new robust approaches.

Keywords: reservoir simulation,optimization,data driven techniques,smart proxy,enhanced recovery
Research on Macroeconomic Fluctuations and Trade (MACROTRADE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Individuals, Markets and Organisations
Panel description: Economics, finance and management
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2015-CoG, 2015)
Start date: 2016-10-01
End date: 2023-09-30
Duration (months): 84.0
Total project cost (EUR): 1257242.51
EU funding (EUR): 1257242.51
Participants: 1
Project status: SIGNED

The proposal is divided into three strands whose main goals are to i) study macroeconomic fluctuations, ii) identify the mechanisms that drive and propagate these fluctuations, and iii) use the empirical findings to inform and formulate models that can be used for quantitative policy and positive analysis. The first strand will exploit a new dataset to study housing markets during the build-up and aftermath of the crisis. We will document a robust pattern of history dependence in housing markets and investigate four main channels to potentially explain this pattern: Down payment requirements; matching quality; learning; and anchoring. Using these results we will build and structurally estimate a model with the aim to use in policy and positive analysis. The second strand studies an unexplored mechanism for the transmission of monetary policy. A main winner from monetary policy expansions in most countries is the government, which sees a reduction in the value of its debt and typically, better borrowing terms. We will investigate how public spending, revenues, and debt management react to changes in monetary policy; the extent to which the response of activity is driven by the public sector; the interactions between public and private sector responses; and the (intra- and inter-generational) distributional effects from monetary policy interventions. We will then formulate a DSGE model embedding a careful description of the government’s role in the transmission mechanism. The third strand studies the effect of terms-of-trade fluctuations on agricultural production and trade. We will focus on the distribution of gains from trade in markets characterized by oligopsonies buying from small farmers and exporting in international markets. We will study how this configuration, characteristic of agricultural markets in low-income economies, alters the gains from trade and the effects of terms-of-trade changes vis-a-vis the standard framework of perfect competition.

Keywords: monetary policy,fiscal policy,re distributive effects,vector auto regressive var models,central banks
Mechanical Biomarkers for Prediction of Cancer Immunotherapy (Immuno-Predictor)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Products and processes engineering
Panel description: Product and process design, chemical, civil, environmental, mechanical, vehicle engineering, energy processes and relevant computational methods
Countries involved: Cyprus
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-04-01
End date: 2025-03-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

Immunotherapy has revolutionized the treatment of multiple cancers and has already become a standard of care for some tumor types. However, a majority of patients do not benefit from current immunotherapeutics and many develop severe toxicities. Therefore, the identification of biomarkers to classify patients as likely responders or nonresponders to immunotherapy is a timely and of tremendous impact task. My hypothesis is that biomechanical aspects of the tumor microenvironment mediate resistance to immunotherapy. Specifically, many tumors stiffen as they grow and also, tumor growth within the host tissue generates mechanical forces, termed solid stress. Tumor stiffening and solid stress are distinct mechanical abnormalities that compress intratumoral blood vessels, causing hypo-perfusion and hypoxia. Systemic administration of immunotherapeutics requires a well-perfused vasculature, whereas hypo-perfusion and hypoxia promote immunosuppression, helping cancer cells to evade immune responses. The objective of the proposed research is the identification of novel Mechanical Biomarkers related to tumor stiffness, solid stress, perfusion and hypoxia for prediction of immunotherapy. Tumor-bearing mice will be developed and treated with immunotherapeutic drugs and clinically used methods will be combined with computational biomechanical modeling for measuring the Mechanical Biomarkers, making the research transferable to the clinic. The biomarkers will be benchmarked against tumor normalization strategies aiming to restore/normalize mechanical abnormalities and optimize immunotherapy. Finally, the clinical utility of the selected biomarkers will be evaluated in human tumors. Only few tumor-specific biomarkers are used in the clinic - based mainly on genomic analysis. This project is expected to lead to the first biomarkers for immunotherapy prediction exploiting tumor mechanics.

Keywords: bioengineering,biomechanics,computational models,mechanical properties,tumor microenvironment,drug delivery,animal tumor models
The Visual Politics of Recognition: Understanding the Role of Images in Recognition Encounters (VISUAL)

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: Social Sciences and Humanities
Countries involved: Denmark
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2022-01-01
End date: 2024-11-01
Duration (months): 24.0
Total project cost (EUR): 219312.0
EU funding (EUR): 219312.0
Participants: 1
Project status: SIGNED

Images are an important component of recognition between states: official photographs of high-level summit meetings, or images circulated by state representatives over Twitter, are used to visualise positive or negative interstate relationships that reflect, or challenge, established recognition dynamics. Despite the political importance of recognition, there are currently no studies on the visual politics of this process in International Relations. The purpose of the VISUAL project is to take the field a step further through the development of an innovative and original typology for the visual politics of recognition. In VISUAL we have the unique opportunity to advance our knowledge of the role images play in global politics. Using a theoretically-driven, exploratory analytical methodology employing a mixed-methods approach, the project theorizes and conceptualises successful and failed recognition by situating images within a process we know is politically significant: EU, NATO and G7 summit meetings and the acrimonious Iran-US relationship. In addition hereto, VISUAL explores the role of gender in the visual politics of recognition, developing a feminist visual methodology, the first of its kind in International Relations. Using the 'case plus study' methodology, VISUAL will address three main research questions across three sub-studies: 1) What are the visual modalities of recognition, successful and failed? 2) How are rival interpretations of recognition in the Iran-US relationship visualised? 3) How are gender norms reproduced or challenged in images signifying successful or failed recognition? I will significantly benefit from a placement at the Department of Political Science at the University of Copenhagen, under the supervision of Professor Lene Hansen, as it is the premiere international institution for the theoretical and empirical study of images in the field of International Relations.

Keywords: recognition,images,digital diplomacy,visual content analysis,visual discourse analysis,discourse analysis
Excellence in SImulation of Weather and Climate in Europe (ESiWACE)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: e-Infrastructures
Action type: Research and Innovation actions
Countries involved: Ireland,Germany,Germany,Spain,Italy,Germany,Sweden,France,France,France,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Centres of Excellence for computing applications (H2020-EINFRA-2015-1, 2015)
Start date: 2015-09-01
End date: 2019-08-31
Duration (months): 48.0
Total project cost (EUR): 4951048.75
EU funding (EUR): 4951048.75
Participants: 20
Project status: CLOSED

ESiWACE will substantially improve efficiency and productivity of numerical weather and climate simulation on high-performance computing platforms by supporting the end-to-end workflow of global Earth system modelling in HPC environment. This will be obtained by improving and supporting (1) scalability of models, tools and data management on state-of-the-art supercomputer systems (2) Usability of models and tools throughout the European HPC eco-system, and (3) the Exploitability of the huge amount of resulting data. We will develop solutions for cross-cutting HPC challenges particular to the weather and climate domain. This will range from the development of specific software products to the deployment of user facing services for both, computing and storage. ESiWACE leverages two established European networks, namely (1) the European Network for Earth System modelling, representing the European climate modelling community and (2) the world leading European Centre for Medium-Range Weather Forecasts. The governance structure that defines the services to be provided will be driven by the European weather and climate science community. Weather and climate computing have always been one of the key drivers for HPC development, with domain specific scientific and technical requirements that stretch the capability and capacity of existing software and hardware to the limits. By developing solutions for Europe and at European scale, ESiWACE will directly impact on the competitiveness of the European HPC industry by engendering new products, providing opportunities for exploitation beyond the project itself, and by enhancing the skills base of staff in both industry and academia. ESiWACE will be at once thematic, as it focuses on the HPC application domain of climate and weather modeling, transversal, as it covers several aspects of computational science, and challenge-driven, as climate and weather predictability represents a major societal issue.

Keywords: weather,climate,model optimizations,exa scale,scalability,usability,exploitability,workflow,software governance
Physical Retargeting, innovative mobile marketing services for traditional retailers (Fidzup-Retargeting)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: SME instrument
Countries involved: France
Call: Open Disruptive Innovation Scheme (implemented through the SME instrument) (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

Advertising industry is currently facing two major shifts that change the way products are promoted and sold in Europe: Retargeting Advertising and smartphone diffusion. This creates opportunities for physical retailers to better know their consumer expectations through “physical retargeting”. After 3 years of development, FIDZUP wants to leverage its current marketing position within retailers with its physical retargeting breakthrough innovation: Fidzup Retargeting. The current state-of-the-art reveals that no complete physical retargeting solution exists. Fidzup Retargeting is a marketing service based on anonymous in-store locating of consumer smartphones, that helps a retailer to predict its consumer expectations, and offer personalised message directly on his smartphone (by replacing a generic ad), inviting him back to the store, or to follow up the buying process in the m-commerce platform. Our solution will help physical retailers to send the right message to the right person, and therefore become far more efficient. It will make them able to close the gap to their online competitors in terms of understanding their consumers. Besides, final consumers will receive messages according to their personal centers of interest. Ad clutter will be reduced while respecting private data. The feasibility study will assess three key levels: 1. Technical: Testing and verifying that Fidzup Retargeting in an operational environment 2. Economic: Analysing and deciding on business model 3. Legal: Identifying legal issues relating to data collection in France, UK, Spain and Italy For European commercialisation of our innovation, total funding requirement during 2 years for Phase 2 is estimated at € 3 300 000. Dissemination of the innovation will first be European. For cultural, legislative and market size reasons, target geographies for Fidzup Retargeting will address France, UK, Italy and Spain. These countries, combined, comprise 68% of Western European mobile ad market.

Keywords: retargeting,advertisement,marketing,retailers,smartphones
Sustainable 5G deployment model for future mobility in the Mediterranean Cross-Border Corridor (5GMED)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Partnership: 5G PPP (cPPP)
Countries involved: Spain,Germany,Spain,Italy,Cyprus,Türkiye,Greece,France,France,France,France,France,France,Portugal
Call: 5G PPP – 5G for Connected and Automated Mobility (CAM) (H2020-ICT-2019-3, 2019)
Start date: 2020-09-01
End date: 2024-08-31
Duration (months): 48.0
Total project cost (EUR): 15546308.49
EU funding (EUR): 11942189.99
Participants: 31
Project status: SIGNED

5GMed brings together key stakeholders of the “Barcelona – Perpignan” cross-border section of the Mediterranean corridor including MNOs, road and rail operators and neutral hosts, complemented with innovative SMEs developing AI functions, and selected R&D centers with a proven track record in 5G research and innovation. Given the proximity of the E15 highway and the high-speed rail track in the considered cross-border section, the 5GMed consortium will demonstrate how a multi-stakeholder 5G infrastructure featuring a variety of technologies, including Rel.16 5GNR at 3.5 GHz, Rel.16 NR-V2X at 5.9 GHz, unlicensed mm-wave, network slicing and service orchestration, can be used to jointly deliver CCAM and FRMCS services. The considered CCAM use cases include Remote Driving in cross-border open roads to enable safe fallback operation in Level 4 autonomous driving, and the massive sensorization of road infrastructures enabling AI-powered traffic management algorithms in the presence of legacy vehicles. The considered FRMCS use cases include performance services where AI-functions running on the infrastructure side analyze camera feeds from high speed trains in real-time, and business services providing high-speed internet to passengers and in-train neutral hosting capabilities to MNOs. A Follow Me Infotainment use case will demonstrate live migration of media functions across cross-border scenarios both in automotive and railways environments. The technical activities of 5GMed are complemented by a carefully designed impact maximization strategy including: i) demonstrations in key industrial events, ii) concrete measures to influence standardization and policy makers, iii) cost-benefit analysis of the 5GMed deployment models, and iv) joint exploitation and business modes. 5GMed ambitions to become the lighthouse project for CCAM and FRMCS deployment in cross-border scenarios that can be replicated across Europe and trigger further investments through the CEF2 program.

Keywords: 5g enabled mobility,cross border corridor,cooperative,connected and automated transport,smart mobility and services,infrastructure,sustainable 5g deployment
Characterization of Salmonella enterica hydrogenase-5 biosynthesis for developing novel anti-infective compounds (SalHyd5)

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: 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): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Recently, the discovery of new antibiotics has slowed, while the incidences of infections caused by bacteria that have become resistant to commonly used antibiotics are rising. There is therefore a growing clinical need for innovative approaches to developing novel anti-infective compounds. Hydrogen is an important energy substrate for a number of pathogenic bacteria and H2 oxidation is essential for the virulence of Salmonella enterica serovar Typhimurium. S. enterica expresses three different H2-uptake [NiFe]-hydrogenases and one of these (termed hydrogenase-5) belongs to a novel class of O2-tolerant hydrogenases that is synthesized aerobically and oxidizes H2 in the presence of O2. The Hyd-5 gene cluster encodes two accessory proteins, HydH and HydG, that are absent in anaerobic systems and are conserved in those systems in which hydrogenases are synthesized in the presence of oxygen. In other systems, HydH homologs have been proposed as scaffolding proteins that bind the immature [NiFe] cofactor prior its transfer to the large subunit of the enzyme. HydG-like proteins are hypothesised to assemble or stabilize the Fe-S clusters of small subunit during biosyntheis. This proposal aims to study the functional role of accessory proteins HydH and HydG in the biosynthesis of Hyd-5 and to design novel small molecule compounds that potentially inhibit hydrogenase activity and assembly. Understanding the mechanisms involved in the biosynthesis of Hyd-5 will allow the development of hydrogenase inhibitors and, as consequence, anti-infectives of virulence of Salmonella and other bacterial pathogens. This project addresses a key biomedical challenge and establishes [NiFe] hydrogenases as novel and credible drug targets.

Keywords: nife hydrogenase,oxygen tolerance,salmonella,hydrogen,protein protein interaction,nife cofactor,fe s cluster,inhibitor
Therapnea: Novel Therapy to treat Obstructive Sleep Apnea based on Thomas Oro-Pharyngeal Stent (Therapnea)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: SME instrument
Countries involved: Israel
Call: Accelerating market introduction of ICT solutions for Health, Well-Being and Ageing Well (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-09-01
End date: 2018-02-28
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Obstructive sleep apnea is the most common organic sleep disorder in which the respiratory path becomes occluded during sleep, usually due to collapse of the upper airways, causing the patient to stop breathing, with severe co-morbidity issues. Although there are several known therapies for apnea (behavioural, devices or surgery), none is as successful and effective as using compressed air respiratory support to keep the airways open during sleep, making CPAP (Continuous Positive Airway Pressure) the most common treatment of choice. Unfortunately, it still has many limitations regarding patient’s compliance, and it is ONLY SUCCESSFUL FOR 50% OF PATIENTS. According to the World Health Organisation (WHO), over 100 Million people worldwide suffer sleep apnea and its related morbidity and mortality risks. Tens of millions are unable to adhere or abandon current therapies, with CPAP as the first line of treatment. Low CPAP compliance, mainly due to major discomfort, is recognized as the major issue, and many companies are investigating ways to improve it. Sleep apnea devices market size is worth USD 8.8 billion by 2023, with 7.7% CAGR from 2016 to 2023. We at Thomas Medical Ltd. have been working on the development of a disruptive solution to respond to the unmet needs of patients that can’t adhere current therapies. The invention is an upper airway stenting device intended for the treatment of adult obstructive sleep apnea. The device, Therapnea™, operates by providing mechanical support to the walls of the pharynx and the back of the tongue, thereby preventing their collapse and eliminating partial or complete airway obstruction during sleep. We aim to provide effective therapy to the tens of millions of sleep apnea patients who can’t be helped with current CPAP devices or surgeries, and thus become the first line of treatment in the long term.

Keywords: obstructive sleep apnea,therapy device