Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Environmental friendly fungicide based on new endophytic Biological Control Agent Trichoderma asperellum strain T18 (TRICHO T-18)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: SME instrument
Countries involved: Spain
Call: Resource-efficient eco-innovative food production and processing (H2020-SMEINST-1-2015, 2015)
Start date: 2015-07-01
End date: 2015-12-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Biocontrol has been the fastest growing segment of the global plant protection business over the last few years. Its market is estimated at about 2,3 billion $, and within biologicals, the microbial products have been the fastest growing product type segment of biocontrol today. The multinational agricultural input companies such as the Crop Protection Multinationals have shown a strong interest in the biocontrol industry with highest priority in the microbial market segment. Regulatory Authorities are committed to encouraging the development and use of low risk biological pesticides as alternatives to conventional chemical pesticides than have shown to have a high toxicity. Main objective of TRICHO T-18 Project is to develop a feasibility study in order to obtain and produce a biological control agent (strain T18) in an industrial scale, necessary to develop a commercial product. The strain T18 must to be obtained as pure propagules (spores) and formulated in a solid state with longer life and stability. AMC will be the first worldwide company to produce and commercialize a profitable product based on new endophytic Biological Control Agent (BCA) Trichoderma asperellum strain T18. The new product T-18 means a complete innovative product. There is no product similar in the market at present time. T18 is going to have unique characteristics: efficient endophytic fungus with high capacity to combat plant pathogens; resistant to adverse abiotic conditions as extreme pH in the soil (both acid and alkaline) as well as lower temperature conditions (15ºC and below) and low relative humidity which can’t be supported by other fungus Trichoderma´s genus. Thanks to Risk Analysis, Market Study and Feasibility concept of Phase 1, SME AMC will know technical and economic viability of the product and will have a business plan to deal with the security challenges of the demonstration phase and testing, expected to fund with Phase 2-SME Instrument, and accelerate time to market.

Keywords: environmental,biotechnology,crop science,food,trichoderma asperellum t18,plant disease,biological control,extreme conditions
SUNMAG: Understanding magnetic-field-regulated heating and explosive events in the solar chromosphere (SUNMAG)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting 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: Sweden
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-01-01
End date: 2023-06-30
Duration (months): 66.0
Total project cost (EUR): 1491966.75
EU funding (EUR): 1491966.75
Participants: 1
Project status: SIGNED

This project represents a new powerful approach to a fundamental problem in solar physics: the heating of the solar chromosphere. The aim of SUNMAG is to identify the mechanisms that heat the chromosphere and characterize the energy flux that is being released into the outer layers of the Sun in active regions and flares. By investigating how the chromosphere regulates the energy and mass transport we can also contribute to an understanding of the heating of the corona and the acceleration of the solar wind. These goals are finally within reach thanks to the recent developments of numerical simulations and analysis codes for observations and, observationally, thanks to the very recent development of a new powerful instrument for imaging spectroscopy (CHROMIS) that allows to study the upper chromosphere at the highest possible spatial resolution. Chromospheric observations show that energy must be released at very small spatial scales (smaller than 100 km), and therefore, the intricate fine structuring of the magnetized chromosphere is the key to understand the heating and the mass loading of the outer atmosphere. The CHROMIS instrument at the Swedish 1m Solar Telescope (SST) is the only instrument in the world that allows observing the upper chromosphere at this spatial resolution, and rich spectral resolution. SUNMAG shall use observations from this instrument and a space-borne solar telescope (NASA's Interface Region Imaging Spectrograph, IRIS) to reconstruct time-dependent 3D empirical models of the solar chromosphere. I will use these models to characterize the spatio-temporal distribution of heating in the chromosphere of active regions and flares, and to investigate to what extent this heating can be related to the observed (changes in) the physical parameters. These results will be confronted with predictions from the foremost theoretical models to propose what physical mechanisms are most likely providing the required energy deposition.
AN INTELLIGENT PREDICTION SYSTEM FOR THE SMART EFFICIENT USE OF RESOURCES IN CITIES (PrediSmart)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: SME instrument
Countries involved: France
Call: Boosting the potential of small businesses in the areas of climate action, environment, resource efficiency and raw materials (H2020-SMEINST-1-2016-2017, 2016)
Start date: 2016-11-01
End date: 2017-02-28
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Both public administrations and private investors are increasingly looking for smart solutions for an efficient management of different kinds of resources, under the double motivation of economic savings and communitarian regulations. This trend sustains the market of Smart City technologies to a foreseen volume of 27.5bil€ in 2023, representing a huge opportunity for our business. Datapole is a French company specialized in intelligent systems. We developed PREDISMART, an advanced integrated ICT solution for the efficient management of different kind of resources, including Wasts, Energy, Water, Services and Stock. PREDISMART contributes to the deployment of smart cities, enabling the monitoring, analysis, forecast and management of the different resources, resulting in savings up to 25% for the final users. PREDISMART is an innovative intelligent prediction platform developed by Datapole to forecast and aid to decision-making based on advanced statistical models to obtain previsions for smart cities. The opportunity for PREDISMART is based on smart cities and energy efficiency. It is forecasted that cumulative global investment in smart city technologies is expected to total $174.4 billion in 2023. We expect to raise our benefit up to €, enabling us to hire 22 people in the 2018-2022 period, and we expect to reach the payback for the investment associated to this project in 2020.

Keywords: smart cities,resources,energy,efficiency,software
Shark extinctions: past and present (SHARKS-XT)

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: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2018-06-01
End date: 2020-05-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Species are going extinct at an accelerated rate. Yet, some species are more resilient than others. Understanding what determines species susceptibility to extinction is crucial to address species loss; however, current knowledge provides mixed clues. SHARKS-XT aims to study fossil and modern sharks to determine what factors can help predicting their extinctions; and to assess if modern sharks are responding differently to current extinction threats, or if the predictors of the past can aid conservation efforts. To reach our research objectives we propose three work packages (WPs) in which we will: (WP1) integrate what is currently known in palaeontology and neontology to create a comprehensive trait-dataset of all fossil and living sharks; and employ a novel combination of quantitative methods to establish the relative role and interactions between (WP2) intrinsic (traits) and (WP3) extrinsic (environment) factors in determining extinction susceptibility. We will then compare our results to assess if the predictors (or interactions between predictors) of extinction are consistent across different timescales. The strength of this proposal lies in the use of sharks as a model because they: (1) have an abundant fossil record that goes deep in geological time; (2) have shown resilience to major environmental changes in the past; (3) have lower extinction rates, (4) are being affected the most by the current biodiversity crisis; and (5) play key roles in stabilising marine systems. This research has the potential of assessing how far the rich resources of the fossil record may be used to address modern risks, and could have important societal impacts: by identifying predictors of shark extinction, the role of the climate in establishing such predictors, and the extent to which the predictors of the past can be used to address today’s extinction crisis; it would be possible to re-focus conservation efforts.

Keywords: vertebrates,traits,diversity,cenozoic,modeling,climate change
Effects of major histocompatibility complex immunogenetic profiles of wild hybrid and non-hybrid marmosets on their susceptibility to arbovirus infections (HybridImmunogenetics)

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: Germany
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2019-03-01
End date: 2021-12-04
Duration (months): 24.0
Total project cost (EUR): 171460.8
EU funding (EUR): 171460.8
Participants: 1
Project status: CLOSED

Introductions of animal hybrids borne of exotic species and arboviruses represent costly anthropogenic environmental changes. These processes become intertwined if hybrids become arbovirus reservoirs. How does the admixed composition of hybrid immune genes, specifically Major Histocompatability (MHC) class I, affect the hybrid susceptibility to pathogenic disease? A human hybridization study suggests that genetic introgression gives hybrids an immunological selective advantage, but such studies are few. Europe and Brazil have been impacted by arboviruse outbreaks from dengue, chikungunya, and West Nile. Because human travel intimately links these two regions, this close relationship augments the chance of arbovirus transmission between them. Hybrids of the primate Callithrix genus occur in many highly urbanized Brazilian regions of arbovirus outbreaks, and the hybrid parental species are carriers or susceptible to arboviruses infections. Here we propose to adopt emerging, portable sequencing technology to test the hypothesis that hybrids have a selective advantage to infectious disease susceptibility using the classical Callithrix MHC class I Caja-G/F segment. Further we will investigate diversity, natural selection, and genetic introgression at the genomic level and Caja-G/F segment in wild hybrid and non-hybrid Callithrix. By using this entire segment, this study powerfully harnesses the potential of the MHC region as a pillar of evolution studies and invigorates a paradigm shift in how such an important genomic region is studied. Additionally, this project will be the first to apply cutting-edge portable sequencing technology to study mammalian biodiversity, evolution, and wildlife health- a notion that democratizes the generation of genomic data. Finally, the results of the project will stimulate innovation in European and Brazilian zoonotic disease monitoring through improvements to mathematical models of disease transmission and public health guidelines.

Keywords: hybridization,arbovirus,major histocompatability class i,new world primate,callithrix,brazil,introgression,positive selection
Multi-scale fibre-based optical frequency combs: science, technology and applications (MEFISTA)

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: Spain,Switzerland,France,Denmark,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2020-02-01
End date: 2024-07-31
Duration (months): 54.0
Total project cost (EUR): 1710850.68
EU funding (EUR): 1710850.68
Participants: 7
Project status: SIGNED

The key photonic technology that enables a cluster of applications and so is a driving force for an expanding photonic market in the context of addressing the global challenges is an optical frequency comb (OFC) technology based on mode locked femtosecond lasers (MLFLs). To respond to the huge demand for qualified experts on OFC technologies, we envisaged and are proposing European Training Network (ETN) “Multi-scale fibre-based optical frequency combs: science, technology and applications” (MEFISTA). MEFISTA will provide a world class advanced training programme (TP) to 6 early stage researchers (ESRs) to the level of the next generation of leaders in the fields MLFLs-based OFCs technologies, by exploiting challenging interaction between academy (Aston, UPC, ULille, EPFL and DTU) and industry (NKT and RDM). MEFISTA aims research and training collaborations that will help ESRs to acquire unique knowledge and research skills on OFC technology from the theory to implementation: development of novel mode- locking techniques and speciality fibres and waveguides for MLFLs, mid-infrared (mid-IR) tuneable dual combs sources for molecular fingerprinting, design and characterisation of dual comb MLFLs, and MLFLs manufacturing. A special focus will be the industrial applications related to development and trial tests of MLFLs in the context of autonomous driving (car-object distance ranging, object recognition, moving objects speed tracing: Doppler LIDAR). The TP will be implemented through the unique combination of the “hands-on” research training, non-academic placements and advanced inter/multidisciplinary/inter-sectoral training on nonlinear science, laser physics, fibre optics, and autonomous driving technologies and transferable skills including Research Integrity, Gender Dimension in Research, and Open Science. The TP will be also supported by synergistic merging the expertise of 4 academic, two non-academic beneficiaries and 1 academic partners from 5 countries.

Keywords: optical frequency comb,nonlinear science,fiber optics,lidar
MACHINE LEARNING-BASED, NETWORKING AND COMPUTING INFRASTRUCTURE RESOURCE MANAGEMENT OF 5G AND BEYOND INTELLIGENT NETWORKS (MARSAL)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: 5G PPP (cPPP)
Countries involved: Italy,Germany,Israel,Spain,Cyprus,Belgium,Greece,Greece,Greece,Belgium,Poland,France
Call: 5G PPP – Smart Connectivity beyond 5G (H2020-ICT-2020-2, 2020)
Start date: 2021-01-01
End date: 2024-06-30
Duration (months): 42.0
Total project cost (EUR): 6126683.75
EU funding (EUR): 6126683.75
Participants: 14
Project status: SIGNED

5G mobile networks will be soon available to handle all types of applications and to provide service to massive numbers of users. In this complex and dynamic network ecosystem, an end-to-end performance analysis and optimization will be key features, in order to effectively manage the diverse requirements imposed by multiple vertical industries over the same shared infrastructure. To enable such a vision, the MARSAL targets the development and evaluation of a complete framework for the management and orchestration of network resources in 5G and beyond, by utilizing a converged optical-wireless network infrastructure in the access and fronthaul/midhaul segments. At the network design domain, MARSAL targets the development of novel cell-free based solutions that allows the significant scaling up of the wireless APs in a cost-effective manner by exploiting the application of the distributed cell-free concept and of the serial fronthaul approach, while contributing innovative functionalities to the O-RAN project. In parallel, in the fronthaul/midhaul segments MARSAL aims to radically increase the flexibility of optical access architectures for Beyond-5G Cell Site connectivity via different levels of fixed-mobile convergence. At the network and service management domain, the design philosophy of MARSAL is to provide a comprehensive framework for the management of the entire set of communication and computational network resources by exploiting novel ML-based algorithms of both edge and midhaul DCs, by incorporating the Virtual Elastic DataCenters/Infrastructures paradigm. Finally, at the network security domain, MARSAL aims to introduce mechanisms that provide privacy and security to application workload and data, targeting to allow applications and users to maintain control over their data when relying on the deployed shared infrastructures, while AI and and Blockchain technologies will be developed in order to guarantee a secured multi-tenant slicing environment.

Keywords: cell free,distributed cloud,network automation,machine learning,secure multi tenancy
IRSkin provides dermatologists a new dermatoscope, equipped with a software for visual comparisons in the diagnostic phase, performing a content based Image Retrieval from an a-priori built database. (IRSkin)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: SME instrument
Countries involved: Italy
Call: Clinical research for the validation of biomarkers and/or diagnostic medical devices (H2020-SMEINST-1-2015, 2015)
Start date: 2015-07-01
End date: 2015-10-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Skin tumors are the most frequent cancer in fair skinned population with a raising trend over in the world. The financial costs of skin cancer are high for both the person with cancer and for society as a whole (in Europe the cost of a biopsy is about 250-300€, including the costs of the doctor, the nurse, the material of the operating room, histology and checkups). The probability of survival is high, but the diagnosis accuracy is low. IRSkin is a videodermatoscope (and a potential mobile application) with a pre-installed software, able to acquire high-definition images (up to 10 Mpx), insert them in a body map, process, analyze and compare them in real time with a collection of dermoscopic images, histologically diagnosed, collected in an incremental database, a priori stored in the memory of the machine, by means of a Content-Based Image Retrieval (CBIR) system. This system allows every dermatologist to access to a large amount of data at a relatively low cost and to improve his own experience and diagnosis skills much more quickly. For patients it will increase the diagnostic accurancy and the diagnostic timing. The targeted market is a niche but with good revenue and growth perspectives. In Europe there are about 15.000 dermatologists working in public or private health facilities. IRSkin is first addressed to the EU with potential for global markets (thanks to its export to more than 95 countries). CA-MI would also export this product in USA, because of its high incidence rate of skin melanoma and its high annual cost of treating skin cancers. The Phase 1 will provide a more accurate and analytic assessment of the existing market and growth rates for videodermatoscopes by segment and geographic area, useful to partecipate to the phase 2. Funding required to develop a prototype is about 2000k€.

Keywords: melanoma diagnosis,image retrieval,persistent homology,skin lesion,image processing,diagnosis support,abcde analysis
Next Generation Cockpit HUD Integration (ANGI-HUD)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Israel,Netherlands
Call: Head Up System integration in next generation cockpits (H2020-CS2-CFP02-2015-01, 2015)
Start date: 2016-09-01
End date: 2019-08-31
Duration (months): 36.0
Total project cost (EUR): 1298540.0
EU funding (EUR): 998540.0
Participants: 2
Project status: CLOSED

The ANGI-HUD (Advanced Next Generation Intelligent Head Up Display) proposal responds to the 2nd Call for Proposals of the Clean Sky 2 Joint Undertaking under the topic JTI-CS2-2015-CFP02-LPA-03-06 “Head Up System integration in next generation cockpits”. The consortium can meet the technical challenges. Within IADP LPA Platform 3 (“Next Generation Aircraft Systems, Cockpit and Avionics”) a number of new and advanced functions are developed and demonstrated that will be considered and elaborated on in the ANGI-HUD project. Specifically, the ANGI-HUD activities will line up with the work performed under WP3 of the Clean Sky 2 Joint Undertaking. The main objective of the ANGI-HUD project is to analyse how the capacities of the Head Up Display could be used to provide new functionalities, in combination with other visualization means, and to demonstrate them on a fixed-based simulator. The ANGI-HUD project will contribute to the analysis of potential new functionalities, prototype the intended new Man Machine Interface, provide the Airframer with two representative Head Up Systems, including rapid prototyping capacities, and participate to, and support, bench tests at the Airframer’s simulation facilities. A rather novel and ambitious aspect will be the development of the so-called ‘eyes- out cockpit concept’; i.e. the capability to perform approaches and landings only using the information displayed on the ANGI-HUD and via HUD-integrated eye tracking technology. The comprehensive experience of the partners in the areas of head up systems, head up symbology design, flight simulation, cockpit design, human factors evaluations, as well as experience in simulator and flight testing of airliners and business jet flight operations motivated the common application to this call. The specific skills and know-how of each partner and their complementarity are crucial for demonstrating a higher TRL for the technologies considered here.

Keywords: head up display,symbols