Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A probabilistic decision framework for MULti-HAzard RESilience of residential building portfolios subjected to floods and landslides (MulHaRes)

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: Information Science and Engineering
Countries involved: Türkiye
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-06-01
End date: 2022-09-28
Duration (months): 24.0
Total project cost (EUR): 145355.52
EU funding (EUR): 145355.52
Participants: 1
Project status: CLOSED

The recent catastrophic flood and landslide events triggered by heavy rainfalls have shown how vulnerable communities can be to natural disasters. To mitigate the impacts of natural disasters on communities, disaster resilience assessment and planning are required for the built-environment. The proposed research aims to develop a decision framework to support multi-hazard resilience of residential building stocks under rainfall-triggered floods and flow-type landslides (i.e., debris, mud-flows), considering two refinement levels in the framework: individual buildings vs. building portfolios in a community. The effects of uncertainties and spatial correlations in hazard demand and common building configurations and practices will be reflected in an aggregated assessment of multi-hazard resilience of building portfolios. The building portfolios that will be focused in the proposed methodology are residential buildings within a typical EU community, considering residential construction practice in Europe. However, the proposed framework can be adapted for resilience assessment and planning for other building portfolios involving different occupancies. The fellow Dr. Deniz, with her research experience in community disaster resilience and her firm-background in civil engineering, and reliability and statistical tools, has the required technical expertise to achieve the goal by conducting state-of-the-art robust analyses for the proposed project “A probabilistic decision framework for MULti-HAzard RESilience of residential building portfolios subjected to floods and landslides”. The proposed decision framework will greatly contribute to different stakeholders seeking to find optimal mitigation strategy for homes and to improve insurance portfolio risk policy, public policy and disaster management plans. This fellowship will support Dr. Deniz to establish an internationally well-recognized academic career and become one of the leading people on this particular research.

Keywords: disaster resilience,residential building structures,building portfolio,flood,rainfall induced landslide,debris flow,damage,performance,recovery,decision making,multi hazard
Neuro-augmented 112Gbaud CMOS plasmonic transceiver platform for Intra- and Inter-DCI applications (NEBULA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Photonics (cPPP)
Countries involved: Italy,Germany,Israel,Switzerland,Belgium,Belgium,Greece,Switzerland,Greece,France,France,France
Call: Application driven Photonics components (H2020-ICT-2019-2, 2019)
Start date: 2020-01-01
End date: 2023-09-30
Duration (months): 45.0
Total project cost (EUR): 5999191.25
EU funding (EUR): 5999191.25
Participants: 14
Project status: SIGNED

NEBULA aims to provide the foundations for a common future-proof transceiver technology platform with ultra-high bandwidth capabilities offered by a CMOS compatible toolkit and tailored towards meeting performance, cost and energy metrics in both inter-DCI coherent and intra-DCI ASIC co-packaged optics. NEBULA will be investing in the established bandwidth- and energy saving credentials of plasmonic modulator solutions together with the functional digital processing portfolio of neuromorphic optical reservoir computing engines towards painting the landscape of the next-coming disruption in transceiver evolution, tailoring them in System-in-Package prototype assemblies that can intersect with the challenging framework of both inter- and intra-DCI segments. NEBULA target to demonstrate i) a fully-functional 8-channel 112Gbaud 16QAM C-band transceiver prototype, offering an aggregate capacity of 3.2Tbps and requiring just 2.65W per single 400Gbps wavelength, providing in this way an energy efficiency of only 6.625pJ/bit with energy savings of 93% compared to current 200Gbps and 19W-consuming pluggable optics and ii) a fully-functional sub-Volt 8-channel 112Gbaud PAM4 O-band transmitter co-packaged with a data generating ASIC from Mellanox, offering a 1.6Tbps aggregate capacity with up to 37% energy savings compared to the estimated power requirements of respective Si-photonic-based co-packaged solutions.

Keywords: co packaged optics,system in package,system on chip,photonic neuromorphic processing,reservoir compunting,cmos plasmonics,silicon nitride
Developing an Adverse Outcome Pathway for metabolic Nuclear Receptor-binding compounds in Atlantic cod (NRgCod)

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: Environment and Geosciences
Countries involved: Norway
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2021-10-01
End date: 2024-09-07
Duration (months): 24.0
Total project cost (EUR): 202158.72
EU funding (EUR): 202158.72
Participants: 1
Project status: SIGNED

Environmental contaminants are accumulating in oceans and marine food webs and thereby pose a risk for both ecosystem and human health. In my MSCA-project, I aspire to bring the field of environmental toxicology to the next level by applying my track-record in developing Adverse Outcome Pathways (AOPs) in the model organism zebrafish to the sentinel species Atlantic cod. The renowned Environmental Toxicology laboratory of Prof. Anders Goksøyr at the University of Bergen (UiB), is specialised in interactions of human-made chemicals with nuclear receptors (NRs) in Atlantic cod. Contaminant activated NRs can be the initiating molecular event leading to a cascade of responses, disrupting energy metabolism and culminating in an adverse outcome at behavioural level. At UiB, I will be trained in applying the precision-cut liver slicing technique and in developing in vitro luciferase reporter assays to identify NR activity after exposure to major legacy and emerging contaminants. I will then translate my knowledge on mechanisms leading to behavioural effects in zebrafish larvae, to the Atlantic cod. I will be supported by the Environmental Chemistry Group at the Institute of Marine Research (secondment) providing expertise on larval Atlantic cod toxicology and lipid chemistry. Developing AOPs in an ecologically relevant species is a young field of research but of high relevance to defining the ecological consequences of contaminant exposures. This project will innovatively expedite the Environmental Toxicology research and underline my ambitions to become an independent academic group leader. I will further sharpen my academic profile by profiting from UiB’s unique Centre of Excellence in Biology Education (bioCEED) which will enhance my skills in modern supervising and teaching techniques. The proposal addresses pressing scientific questions by integrating the expertise and network of both the host and me while shaping my profile on the way to become a leading scholar.

Keywords: atlantic cod,nuclear receptor,behavior,adverse outcome pathway,liver
High Pressure Processing (HPP) equipment for large beverage productions (BEVSTREAM)

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-1-2014, 2014)
Start date: 2014-11-01
End date: 2015-04-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Hiperbaric is an SME leader in designing, manufacturing and commercializing High Pressure Processing (HPP) machines on an industrial scale. HPP is an innovative processing technology for many types of food (meat, seafood, vegetable, fruit products…) with an important growing potential over the traditional techniques such as thermal pasteurization. This process inactivates food microorganisms, increasing safety and shelf-life, keeping flavor, nutrients and product freshness. HPP is currently a batch post-packaging process and this fact limits its productivity as the packaged/bottled product takes up more room of allowable vessel volume. This low productivity prevents the development of HPP in some important markets such as the beverage market (650 million tons in 2012). The final objective of the Bevstream project is to commercialize the first semi-continuous HPP equipment for large productions of beverages or liquid food, reaching a 2% beverage global market penetration in 2026 (200 machines). Hiperbaric proposes a breakthrough concept for liquid processing, changing the approach from a batch post-packaging process to a semi-continuous prepackaging process. This will be achieved by scaling-up a Hiperbaric prototype to industrial large scale machine able to process liquid food directly into the vessel. This concept will mean increasing HPP productivity, lowering processing cost, and energy consumption and easing the installation within beverage production lines. The expected market for Hiperbaric is 40 machines in the 5 years following SME Instrument Phase 2 project. This new business line will suppose more than 50% of Hiperbaric turnover in 2021 and a 40% staff increase. The proposed feasibility assessment will evaluate this new concept by measuring market size, defining an IPR strategy and determining product technical and economic feasibility. The results will determine how the project could be developed in SME Instrument Phase 2.

Keywords: high pressure processing,beverages,juices,equipment
Action Plan for the future of Mobility in Europe (MOBILITY4EU)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Coordination and support actions
Countries involved: Spain,Germany,Spain,Germany,Germany,Italy,Italy,Hungary,Belgium,Finland,Greece,Sweden,France,France,France,Netherlands,United Kingdom
Call: Transport societal drivers (H2020-MG-2015_SingleStage-A, 2015)
Start date: 2016-01-01
End date: 2019-03-31
Duration (months): 39.0
Total project cost (EUR): 2873078.75
EU funding (EUR): 2873078.75
Participants: 20
Project status: CLOSED

Global socio-economic and environmental megatrends are urging for a paradigm shift in mobility and transport that involves disruptive technologies and multimodal solutions. The individual transport sectors face diverse technical and non-technical requirements and rather individual, sometimes contradicting challenges. An action plan for the coherent implementation of innovative transport and mobility solutions in Europe is thus urgently needed and should be sustained by a wide range of societal stakeholders. The MOBILITY4EU project will develop such a plan taking into account all modes of transport as well as a multitude of societal drivers encompassing health, environment and climate protection, public safety and security, demographic change, urbanisation and globalisation, economic development, digitalisation and smart system integration. In order to obtain a widely supported and consensus–based action plan a Multi-Actor Multi-Criteria Analysis (MAMCA) methodology will be used to consult a broad stakeholder community representing the main societal actors including vulnerable to exclusion citizens in Europe. This stepwise and scientifically sound approach will allow the consortium of the MOBILITY4EU project to involve a large group of stakeholders in the process. The participation will be strengthened by a visualisation-based story map process. The successful implementation of the vision for the future transport and mobility system of Europe will require a continuous cross-modal and inter-stakeholder dialogue and collaboration. For this purpose will the developed action plan also contain the blueprint for the implementation of a sustainable and continuous European Transport and Mobility Forum beyond the duration of the project, e.g. in the form of a new European Technology Platform. The work will be complemented by extensive networking and engagement activities and by dissemination with special focus on young generations and transport users in general.

Keywords: multimodality,societal megatrends,technical requirements,innovative mobility concepts,smart systems integration,mamca,european transport and mobility forum
Re-usable and re-configurable parts for sustainable LED-based lighting systems (Repro-light)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies for Factories of the Future
Action type: Innovation actions
Countries involved: Spain,Austria,Germany,Spain,Austria,Italy,Austria
Call: New technologies and life cycle management for reconfigurable and reusable customised products (H2020-FOF-2017, 2017)
Start date: 2017-10-01
End date: 2020-09-30
Duration (months): 36.0
Total project cost (EUR): 6000844.65
EU funding (EUR): 4345418.25
Participants: 10
Project status: CLOSED

The Repro-light project aspires to successfully initiate a transformation of the European LED lighting industry by the year 2020 since European lighting companies have been facing fierce competition from Asia while at the same time prices for LED luminaires are rapidly falling. By developing an intelligent LED-based luminaire with a modular, stackable architecture the project seeks to change the industry’s view of the LED luminaire as a generic, disposable object into a customized, sustainable product with high functional value. Breaking the rules of traditional luminaire design by using innovative technologies and materials to completely forgo wiring and make luminaires completely stackable as in the Repro-light project has never been attempted before. Through the modular design and the development of a smart production scheme costs and time of luminaire manufacturing can be reduced substantially as well as their environmental impact. Now is an extremely crucial moment for creating a sustainable solution for LED luminaires since the LED market is in the middle of a massive transformation, changing the value proposition of LED-based lighting solutions from a focus on energy efficiency to functional values. The Repro-light luminaire will fulfil this value propositions by employing intelligence and having a positive impact on peoples’ health. The Repro-light consortium is perfectly suited to be the spearhead of this lighting “revolution” as the entire value chain is represented and the consortium is structured around a sound industrial backbone. With representatives and driving forces of the European lighting industry as well as manufacturers of basic products, experts on lighting sustainability and the Social Sciences, the Repro-light consortium possesses the excellence and the influence to not only execute this project successfully but also invoke a sustainable change in the European lighting industry beyond the lifetime of the project.

Keywords: stackable,wireless,modular luminaire architecture,human centric lighting,molded interconnect device,led module,programmable,automated production,smart lighting,health,office,industry,care
Robotics for Infrastructure Inspection and MAintenance (RIMA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Innovation actions
Countries involved: Spain,Germany,Germany,Italy,Cyprus,Belgium,Greece,Lithuania,Slovakia,Norway,Norway,Finland,Poland,France,France,Netherlands,Netherlands,Netherlands,United Kingdom,Denmark
Call: Robotics - Digital Innovation Hubs (DIH) (H2020-DT-2018-1, 2018)
Start date: 2019-01-01
End date: 2023-06-30
Duration (months): 54.0
Total project cost (EUR): 16050255.0
EU funding (EUR): 16048605.0
Participants: 27
Project status: SIGNED

Inspection and Maintenance (I&M) represents a huge economic activity (450 Bn€ market) spanning across sectors such as energy, transport, civil engineering. EU hosts over 50% of I&M robotics offer but there is a bottleneck connecting it to the market and high potential applications. RIMA is a 4-year project aiming to establish a network of 13 Digital Innovation Hubs (DIH) on robotics sharing best practices and providing services to facilitate uptake of I&M technologies. Our challenge is to reinforce this connection and to provide education and training on robotics I&M and to connect the value chain - research, technology companies, service providers, end users and investors- for accelerating economic growth in the field: - RIMA is building upon the network pioneered by SPRINT Robotics extending it to all relevant sectors across the value chain. - The RIMA network encompasses: o leading research organizations supporting one DIH per region aligned with regional policies and industry sectors. o Sectorial associations who will make a bridge with end users and industries. - RIMA will offer services including support to testing and technology transfer, coaching and training on robotics for I&M, process optimization and communication. 50.5% of RIMA’s budget will be distributed to SMEs to run experiments using FSTP - RIMA will advise on funding opportunities relying on the S3 Thematic Platform on robotics for I&M federating the common ambition of 13 EU regions. - Network sustainability will be ensured by adapting the SPRINT business model Expected results are (i) increased competitiveness of EU I&M Robotics, (ii) economic added value by increased productivity and availability of the critical infrastructure (iii) social and environmental impact through improved safety and less emission of hazardous substances (iv) the constitution of a sustainable and scalable (open to new members) DIH network aligned with the industrial and European policies and ambitions

Keywords: digital innovation hub,digitizing european industry,inspection and maintenance,infrastructure,fstp
Part distortion prediction, design for minimized distortion, additive manufactured polymer aerospace parts (PADICTON)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Germany,Belgium,United Kingdom,United Kingdom,United Kingdom
Call: Design Against Distortion: Part distortion prediction, design for minimized distortion, additive manufactured polymer aerospace parts (H2020-CS2-CFP09-2018-02, 2018)
Start date: 2019-11-01
End date: 2022-11-30
Duration (months): 37.0
Total project cost (EUR): 749967.5
EU funding (EUR): 749967.5
Participants: 5
Project status: CLOSED

PADICTON answers the scope of JTI-CS2-2018-CFP09-AIR-02-75 call on the topic “Design Against Distortion”. The high-level challenge PADICTON project will be addressing is to develop accurate and functional distortion prediction models for Additive Manufacturing of polymeric and composite parts that can be utilised in conjunction with other design tools to produce parts adjusted to account for distortion effect. The efforts will focus on Fused Filament Fabrication, with or without fibre reinforcement, and the selective laser sintering (SLS) process. The project will aim at developing a high-fidelity reference process simulation method for FFF and SLS for the materials of primary interest to the Topic Manager. In parallel, a rapid process simulation methodology will be sought. While the first method will encompass detailed consideration of coupled thermal-chemical-mechanical analysis for the determination of residual stress and distortion, the low fidelity model will be based on the “inherent strain” analysis method, backed with experimental characterisation and validation activities. State of the art AM equipment will be utilised with capability to alter the processing parameters and an innovative inline monitoring system will be realised to assess the produced part as it is being built. Once the analysis methods are in place the distortion prediction capabilities will be further utilised to enhance the part design by incorporating the risk of distortion. The traditional part optimisation tasks (shape or topology) will consider the risk of distortion as an extra parameter. These developments will be implemented in a seamless Computer Aided Engineering (CAE) environment, initially based on the existing CAE platform available to PADICTON consortium. At a next step, the capability to incorporate the developed modules with different s/w platforms will be considered. Overall, PADICTON will advance its technologies from TRL3 up to TRL5 and potentially reach TRL6.

Keywords: additive manufacturing,fused filament fabrication fff,thermomelt,distortion prediction modelling,design optimisation,multi physics simulation,demonstrator fabrication,themoplastics,peek
New, realistic and robust models for cryptocurrency volatility (CryptoVolatility)

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: Economic Sciences
Countries involved: Finland
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-09-01
End date: 2024-08-31
Duration (months): 24.0
Total project cost (EUR): 190680.96
EU funding (EUR): 190680.96
Participants: 1
Project status: CLOSED

Forecasting cryptocurrency volatility is a topic of interest in quantitative finance. A growing number of studies argue that compared to equty price cryptocurrency prices are to a large and perhaps abnormal degree driven by sentiments. However, econometric studies focus on forcing conditional volatility models developed for equity return volatility to fit on cryptocurrency data despite being aware that estimation techniques developed for analyzing equity price or commodity price volatility lack robustness and do not work as intended. Is it possible to propose solutions to deal with the mentioned shortcomings? Is it possible to suggest a new family of models? If so, how? The purpose of New, realistic and robust models for cryptocurrency volatility is to answer these questions by suggesting new and more realistic conditional volatility models accompanied with reliable cross-disciplinary estimation techniques to forecast cryptocurrency price volatility. What is novel and innovative about the suggested framework is that contrary to the current literature our point of departure is the empirical features observed in cryptocurrency prices combined with a useful tool, namely, artificial neural networks used to measure sentiments. Our aim is to build a machine that produces discrete sentiment phases each day using news articles and internet search data. Once we have identified the number of phases and determined, which phase an observation at a given time-period belongs to following neural network estimation, we can estimate the model parameters, jumps and filter out the continuous conditional volatility process contemporaneously using particle filtering techniques. Besides academics, this proposal is also relevant for regulators and investors as they can learn a great deal by understanding how cryptocurrency volatility actually behaves. Regulators can use sentiment labels from the neural network to design policies to contrast and overcome financial crises in the future.

Keywords: cryptocurrency price volatility,market sentiment,regulation