Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Improving access to FORest GENetic resources Information and services for end-USers (FORGENIUS)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Austria,Spain,Spain,Spain,Spain,Italy,Italy,Türkiye,Finland,Finland,Belgium,Finland,Romania,Slovenia,France,France,United Kingdom,United Kingdom
Call: Genetic resources and pre-breeding communities (H2020-SFS-2019-2, 2019)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 7537292.69
EU funding (EUR): 7000000.0
Participants: 23
Project status: SIGNED

Forests provide essential societal services: in Europe, they cover 33% of land area and sequester 719 million tonnes CO2; in the EU, they provide jobs to over 3 million people and revenue to 16 million forest owners. These services rely on rich Forest Genetic Resources (Forest GenRes), which are managed in a coordinated way in Europe. The European Forest Genetic Resources Programme (EUFORGEN), founded in 1994, is the most advanced programme of its kind, worldwide. Its main achievement is a continent-wide collection of in situ Forest GenRes accessions (http://portal.eufgis.org/), called Genetic Conservation Units (GCUs). FORGENIUS will develop methods and tools for greater insight into the characteristics and the value of Forest GenRes accessions presently existing in 35 European countries, and linked through the EUFGIS Information System (http://portal.eufgis.eu). FORGENIUS will create novel services for users within and outside the conservation communities and will significantly increase and improve data quantity and quality in the European Forest Genetic Resources (Forest GenRes) information system that describes all accessions. The project’s newly developed services will also allow end-users to characterise prospective new genetic conservation units. To fulfil these needs, FORGENIUS will use state-of-the-art indices ranging from genomics and phenotyping to remote sensing and predictive models. FORGENIUS will achieve the following goals: i) assessing genetic, phenotypic, and environmental diversity, as well as resilience of the GCU collection under climate change; ii) providing scientific evidence to support management decisions that promote the resilience and adaptability of the collection; iii) characterising GCUs and their GenRes to identify high-quality germplasm for use in breeding and forest plantations; iv) creating innovative data accessibility and modelling services for users within and outside the Forest GenRes conservation communities.

Keywords: adaptability,resilience,quality,in situ,genetic diversity,phenotypic diversity,breeding
ASSESSMENT AND INITIAL STEPS FOR THE EXPLOITATION OF A FAST SIMULATION SOFTWARE FOR CASTING MANUFACTURING OPERATIONS (FORECAST)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Spain
Call: ERC Proof of Concept Grant (ERC-2014-PoC, 2014)
Start date: 2015-05-01
End date: 2016-04-30
Duration (months): 12.0
Total project cost (EUR): 149963.0
EU funding (EUR): 149963.0
Participants: 1
Project status: CLOSED

In the FORECAST PoC we will explore the industrial applicability and potential for commercialization of the new fast simulation technology developed in REALTIME for the enhanced design of mould filling processes in casting manufacturing operations of mechanical components. The computational technology tested In the FORECAST PoC will allow the casting industry, and in particular SMEs, to solve mould filling problems in times useful for taking decisions helping the design and operation of casting processes. In addition the REALTIME technology will allow users taking into account the multi-fluid character of mould filling processes, including coupled thermal-flow effects in both the air contained in the mould and the molten metal and heat transfer between the flowing melt and the mould walls. The FORECAST PoC will greatly help move the REALTIME software technology towards the initial steps of an innovation process leading to a new extremely fast and accurate mould filling simulation software for enhanced design of casting manufacturing operations of mechanical components for a wide range of applications in industry

Keywords: real time computational mechanics,quasi real time computational mechanics,multi fluids,heterogeneous fluids,particle methods
MARine atmospheric Science Unravelled: Analytical and mass spectrometric techniques development and application (MARSU)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Germany,Argentina,Austria,China,France,France,France,Cabo Verde,Morocco
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2015, 2015)
Start date: 2016-02-01
End date: 2020-01-31
Duration (months): 48.0
Total project cost (EUR): 1269000.0
EU funding (EUR): 1080000.0
Participants: 11
Project status: CLOSED

MARSU is a collaborative (4 Member States , including one participant from the non-academic sector, and six Third Countries from South America, Africa and Asia) with the goal of gaining new knowledge and reducing the uncertainty about the effect of aerosols deriving from the air-sea exchange on climate and atmospheric composition connected to air pollution. The results from this key interdisciplinary project will have impact on current and future industrial and legislative developments. Aerosols and clouds have been identified as one of the largest uncertainties in our understanding of the atmospheric and the climate system. In this context, the MARSU team will conduct experiments in dedicated set-ups throughout the member organisations; combined with efforts in the field to determine the organic composition of aerosol particles and its evolution in the Marine Boundary Layer (MBL) and to come up with a revised picture of the effect of sea salt aerosols on climate. Major gaps of knowledge exist in relation to the organic matter present in aerosol particles, which originates from the organic microlayer at the surface of the ocean. The characterization of the organic content of the aerosol particles, the evolution of the chemical and physical properties, interaction with air pollution and effects on climate-related topics form the foci of this proposal. The MARSU consortium brings together world-leading expert scientists conducting cutting-edge laboratory, simulation chamber studies, field sampling and analysis, analytical method development, and modelling studies. A comprehensive and integrated approach to the development of researchers in the key areas of atmospheric science and their link to the oceans and climate is essential to support industrial and legislative development. MARSU will benefit from the strong involvement of a full partner from the private sector who will host researchers and develop research in close collaboration in other MARSU’s partners

Keywords: atmosphere,ocean,air sea exchanges,aerosols,gases,pollutants,chemistry,instrumentation,climate,exchange,research,training
Distributed Cryptography Module (DCM)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Israel
Call: ERC Proof of Concept Grant (ERC-2014-PoC, 2014)
Start date: 2014-11-01
End date: 2016-04-30
Duration (months): 18.0
Total project cost (EUR): 149776.0
EU funding (EUR): 149776.0
Participants: 1
Project status: CLOSED

The DCM (Distributed Crypto Module) is a unique security system that provides a significant boost in server-side security, which will benefit almost every organisation today. The technology relies on a novel approach to protect cryptographic keys and authentication credentials that form the backbone of network and data security. Currently, the cryptographic keys and authentication credentials that reside on servers inside networks constitute single points of failure: it suffices for the attacker to obtain them and all is lost. This is due to the fact that all cryptographic techniques rely on the secrecy of the key; if the key is compromised then all is lost. Indeed, cryptography is rarely broken (even by the NSA); rather, it is bypassed by stealing the key! Server breaches are ubiquitous today and novel defenses are an acute need today in industry and government. In the DCM, the key is first split and shared amongst two or more servers (using known secret sharing technology) and then using our novel approach, the cryptographic operations necessary are carried out without bringing the parts of the secret together. Rather, the servers run a secure protocol, based on secure multiparty computation, which has the security guarantee that even if an attacker breaks into all but one of the servers, and can run any malicious code that it wishes, it still cannot learn anything about the secret key or credential. By configuring the DCM servers independently (different OS, different admins, different defenses, etc.), a very high level of security is achieved. The scope of the Proof of Concept DCM encapsulates the steps need to bring this groundbreaking technology to the market. A full business plan and market survey will be developed for the construction of a new company that will develop the DCM application and bring it to market. The first full version of a DCM will be ready for market a year after the company has been established (with limited versions earlier).

Keywords: computer security,cryptography
European Training Network to develop Improved Bioresorbable Materials for Orthopaedic and Vascular Implant Applications (BioImplant ITN)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Industrial Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Germany,Ireland,Spain,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2019-01-01
End date: 2023-06-30
Duration (months): 54.0
Total project cost (EUR): 3316930.56
EU funding (EUR): 3316930.56
Participants: 9
Project status: SIGNED

BioImplant ITN is a European Industrial Doctorate (EID) programme that will provide world-class multidisciplinary training to a new generation of high-achieving ESRs in the area of medical device development. A well-balanced consortium of academic, industry and clinical partners has been assembled to deliver the training programme, spanning a number of EU countries and industry sectors to promote international, interdisciplinary and inter-sectoral aspects of ESR skill development. The programme vision of the BioImplant ITN is to deliver technical, interdisciplinary and transferrable skills training to the ESR community all areas of the medical device development Supply Value Chain. The BioImplant ITN programme will develop improved bioresorbable materials and implement them in orthopaedic and vascular implant applications. Bioresorbable materials are rapidly gaining traction in soft and hard tissue medical implants, with both polymer- and metal-based resorbable materials having been developed for medical device applications. However, major issues relating to their poor mechanical properties and rapid degradation behaviour have limited their application. The research programme of the BioImplant ITN will address these issues by (i) targeting new processing solutions to enhance the mechanical behaviour of bioresorbable polymers and (ii) integrate high stiffness magnesium- and ceramic-based reinforcements with polymers to produce novel hybrid/composite materials with optimised functional performance. The development of these innovative biomaterials will represent a major advancement on the current state-of-the-art in bioresorbable materials and maximise commercial potential in vascular and orthopaedic applications. Furthermore, the comprehensive skillset delivered by the programme will enhance career development and employability of ESRs within the Medical Technology sector and promote their development into leading innovators in the European Medical Technology sector.

Keywords: vascular implants,orthopaedic implants,biomaterials,bioresorbable,biodegradable,polymers,composites,textiles
Centrifugal Instability in the Orkney Passage (CIOP)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-12-03
End date: 2020-12-02
Duration (months): 24.0
Total project cost (EUR): 173076.0
EU funding (EUR): 173076.0
Participants: 1
Project status: CLOSED

Climate change by the early-to-mid century will attract great social, economic, political and scientific attention. Countries will be faced with elevated sea levels, changes in drought and precipitation, alterations to marine ecosystems, and economic insecurity as a result of Earth’s changing climate. In order to make practical and prudent decisions about economic aid to developing and developed countries alike, the European Union (EU) must predict global change with increased accuracy. While climate models are consistently improving in predictive skill, their computational demands necessitate parameterization of sub-grid-scale processes. In oceans, one such process is centrifugal instability (CI) occurring near topographic boundaries in the abyssal oceans. The research proposed here, “Centrifugal Instability in the Orkney Passage (CIOP)”, aims to improve our predictive capability of climate by representing a small-scale turbulent mixing process occurring in and around steep topography, and that is believed to impact global ocean circulation through modification of dense water properties. This study will focus on the analysis and interpretation of moored observations and model simulations of Orkney Passage (OP). As the OP is a region where dense water that is formed within the Weddell Sea is modified prior to joining the deep ocean circulation, it is a prime candidate for such study. As part of CIOP, the applicant will (1) enhance understanding of energy and buoyancy fluxes by closely examining mooring and high-resolution model data, (2) identify a relationship between volume transport and fluxes within OP and (3) identify regions conducive to CI. Three outcomes of CIOP will be (i) work toward representing such fluxes in coarse-resolution models and communicated through open-access publications, conferences and meetings, (ii) development of the applicant’s modelling skills and (iii) strategic collaborations between French, British, and American institutions.

Keywords: oceanography,climate,antarctica,weddell sea,ocean physics
Empowering SMEs to take part in the Ocean Industry with an Intelligent Platform that will support their Business decisions (MOCEAN INTELLIGENCE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Norway
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-11-01
End date: 2019-02-28
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The EU has identified the ocean as the biggest driver of economic growth, with an added value of €500 billion per year and expected job creation of 9 million by 2030. Currently, companies that want to exploit ocean’s resources need to build structures in marine environments, spending between 2 and €35 million to select the most appropriate location and months of analysis. A few solutions focus on automating big data analysis, but present important limitations as they lack a user-centred approach and don’t deliver the exact inputs/outputs needed to make business decisions. Furthermore, they still require a long period of analysis and associated cost. Founded in 2016 by geo-physics and software experts, Mocean One (Norway) aims to bring Europe’s SMEs to the forefront of the maritime market and disrupt the ocean industry. By using an innovative user-centred approach, we have developed MOCEAN INTELLIGENCE (TRL6), an intelligent platform that enables users (i.e. off-shore construction companies) to identify a suitable marine construction or operations site to exploit the oceans’ resources, within minutes. Furthermore, our Software-as-a-Service business model allows us to provide actionable insights at 1/20 of the costs of alternatives. The first version of MOCEAN INTELLIGENCE was developed in close cooperation with users, including Seabased AB and Owec Tower AS, and backed-up with data by one of our partners, PGS, a global leader in geo-marine data for the oil & gas industry. It is now available online, demonstrating to early-customers how they can find sites in the ocean to construct their infrastructures in the Netherlands’ coastline. Further developments involve scaling our platform and expanding its functionalities to other geographic regions, particularly ones with large coast lines and high energy production potential (i.e. DE, FR, UK). Through this project we expect to boost Mocean One’s revenues to €13.1 million, while growing the team to 23 people by 2021.

Keywords: ocean resources,ocean energy,exploitation,renewable energy,off shore infrastructure,wave energy,wind energy,platform,ocean data
Bringing INnovation to onGOing water management – A better future under climate change (BINGO)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Enabling the transition towards a green economy and society through eco-innovation
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Spain,Germany,Germany,Cyprus,Norway,Norway,Netherlands,Netherlands,Netherlands,Portugal,Portugal,Portugal
Call: Water cycle under future climate (H2020-WATER-2014-two-stage, 2014)
Start date: 2015-07-01
End date: 2019-09-30
Duration (months): 51.0
Total project cost (EUR): 7822422.5
EU funding (EUR): 7822422.5
Participants: 21
Project status: CLOSED

The water sector needs improved climate prediction and downscaling based on consistent grounds (IPCC 5th Assessment Report, 2013). There is also a need for near future weather scenarios and anticipation of their impacts in the water cycle together with risk management strategies. BINGO will provide demand-driven solutions for a number of specific climate-related challenges in particular for highly vulnerable water resources of strategic importance. Water managers and other stakeholders will then be provided with information on specific climate scenarios at the space/time resolution fitting their needs, enabling them to act at various geographical levels (local, regional and European). BINGO aims at reducing the uncertainty of climate predictions and developing response strategies to help society manage that uncertainty. An innovative approach consists of enrolling end-users from the start, identifying specific vulnerabilities, needs and concerns about future climate. BINGO is built around 7 research sites in Northern and Southern Europe, covering a representative range of climatic conditions as well as combinations of water systems and water pressures. They illustrate a variety of water cycles at local/regional scales in Europe over various timescales, as well as common problems, including floods and droughts; water quality pressured by CSO, agriculture and competing demands for water (urban/tourism; agriculture/food security; hydropower). To guarantee sound management strategies for future weather challenges, BINGO will develop and validate all solutions built by strong dynamic interaction of researchers with end-users and decision makers throughout the project. By creating such knowledge alliances, water managers and other stakeholders can share awareness of climate challenges, thus increasing the possibilities of collaboration in order to manage and better cope with future climate challenges.

Keywords: flood risk management,water quality
Design and modelling of metal matrix composites (DeMoMet)

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: Bulgaria
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-11-01
End date: 2020-04-30
Duration (months): 18.0
Total project cost (EUR): 105745.5
EU funding (EUR): 105745.5
Participants: 1
Project status: CLOSED

Excellent mechanical properties make metal matrix composites (MMCs) an attractive and desirable material in many industries. However, manufacturing costs of MMCs are currently very high mainly due to lack of material design database and limited knowledge related to their behavior in various working conditions. This proposed research aims to improve understanding of the relation between MMCs production parameters and their properties. The proposed research plan has two main assignments: firstly, to experimentally obtain optimal processing parameters for producing highly conductive, strengthened copper matrix composites with uniform dispersion of submicron and nano-sized reinforcements; secondly, to create a computational model for mechanical alloying process and for predicting the behaviour of MMCs. Powder metallurgy will be used for MMCs production. It is expected that with increasing mechanical alloying time the distribution of reinforcements (in-situ formed during densification process) in metal matrix become more uniform which is a requirement for excellent mechanical properties. Investigating the influence of size and volume fraction of in-situ formed reinforcing nanoparticles on its microstructural, mechanical and physical properties will be the overall objective of the experimental work. Proposed techniques, data collection, and analysis will identify the relationship between process parameters and material behaviour, which will contribute to the establishment of process parameters for fabrication of MMCs. Obtained results will present a good database which can accelerate further research, development and possible implementation of MMCs. Moreover, creating computational models for control of microstructure and process design of MMCs will contribute to a better understanding and predicting the behaviour of a wide variety of MMCs. It will provide a cost effective solution in the manufacturing of MMCs which will expand possibilities in the design of new products.

Keywords: metal matrix composites,integrated computational materials engineering,powder metallurgy,microstructural characterization,mechanical alloying,mechanical properties