Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Transition Areas for Infrastructure-Assisted Driving (TransAID)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Research and Innovation actions
Countries involved: Spain,Germany,Germany,Greece,Belgium,Netherlands,United Kingdom
Call: Road infrastructure to support the transition to automation and the coexistence of conventional and automated vehicles on the same network (H2020-ART-2016-Two-Stages, 2016)
Start date: 2017-09-01
End date: 2021-02-28
Duration (months): 42.0
Total project cost (EUR): 3836353.75
EU funding (EUR): 3836353.75
Participants: 12
Project status: CLOSED

As the introduction of automated vehicles becomes feasible, even in urban areas, it will be necessary to investigate their impacts on traffic safety and efficiency. This is particularly true during the early stages of market introduction, where automated vehicles of all SAE levels, connected vehicles (able to communicate via V2X) and conventional vehicles will share the same roads with varying penetration rates. There will be zones and situations on the roads where high automation can be granted, and others where it is not allowed or not possible due to missing sensor inputs, high complexity situations, etc. In the areas where those zones merge many automated vehicles will change their activated level of automation. Therefore, we refer to these areas as “Transition Areas”. TransAID will develop and demonstrate traffic management procedures and protocols to enable smooth coexistence of automated, connected and conventional vehicles especially at Transition Areas. A hierarchical approach will be followed where control actions will be implemented at different layers including centralised traffic management, infrastructure and vehicles. First, simulations will be performed to find optimal infrastructure-assisted management solutions to control connected, automated and conventional vehicles at Transition Areas, taking into account traffic safety and efficiency metrics. Then, communication protocols for the cooperation between connected/automated vehicles and the road infrastructure are developed. Measures to detect and inform conventional vehicles will also be addressed. The most promising solutions will be implemented as real world prototypes and demonstrated under real urban conditions. Finally, guidelines for advanced infrastructure-assisted driving will be formulated. The guidelines will also include a roadmap defining activities and needed upgrades of road infrastructure in the upcoming 15 years in order to guarantee a smooth coexistence of conventional, connected and automated vehicles.

Keywords: levels of automation,transition areas,hierarchical traffic management,v2x communciation protocols
Understanding Emotional Actions (EmotionalActions)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-04-01
End date: 2017-10-03
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

Emotions shape our personal lives and society at large. In Europe emotional disorders affect one in five people; it is the most chronic and second to most disabling health condition. The stakes to better understand our emotional behaviour are high; however there is still a lot to gain. Traditionally, emotions are thought to guide our behaviour either through fast instincts or deliberately selected actions. Current explanations of emotional health and disease frequently focus on one of these single components in isolation (or regard them as exclusive antagonists), but likely underestimate our emotional behaviour’s complexity and diversity. Here I will investigate a complementary account: I suggest that in humans optimal emotional behaviour arises not from these instinctual and deliberate action selection systems individually, but from their interaction, mediated in our brain by a likely uniquely human prefrontal control system. First, using an innovative task, behavioural profiling, and formal computational modelling I will determine the influence and interaction of these systems in emotional behaviour. Second, I will use concurrent neuroimaging (fMRI) and neurostimulation (tDCS), geared at the prefrontal control system and its connectivity with amygdala and parietal cortex, to investigate their causal mechanisms during emotional situations. This ambitious project combines my extensive experience in emotional behaviour with the world-leading expertise of University College London in computational neuroimaging and neurostimulation. These investigations are deliberately designed to both further our understanding of emotional behaviour and to initiate a path for improved treatment of emotional disorders in Europe. The computational modelling approach will elucidate hidden mechanisms and promote personalized diagnosis, while the modulatory neurostimulation approach will provide new avenues for targeted treatment ready to be developed in collaboration with the clinic.

Keywords: emotion,actions,decision making,computational modelling,neurostimulation,neuroimaging,anxiety,aggression
Novel ecological adsorbent using Schwertmannite material for Removal of Selenate and Selenite from contaminated water (NARS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-05-01
End date: 2018-04-30
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

The purpose of this project is to test the suitability of recently developed schwertmannite adsorbents as filter bed materials as a new low-cost technique to remove selenite and selenate from mine water and agricultural drainage. The proposal deals also with critical societal and political issues like water management and sustainability as well as promoting good governance. To this end, an interdisciplinary approach combining hydrogeochemistry and technical development is implemented taking on consideration all the necessary steps of a novel ecological and low-cost water treatment technique. The project consists on two main components: 1) Filling knowledge gaps in the interaction of selenium oxyanions to schwertmannite adsorbents and how is it linked to the acidic pH, including the investigation of a separation method to reduce sorption competitiveness of sulphate towards selenate. 2) Optimising the performance of schwertmannite adsorbents to increase selenium removal rate. To set up a low-cost and eco-friendly process, the project will preform a regeneration study of the material, and explore the potential use of selenium generated from the process into glass-producing company. The fellow will benefit from a solid skill-set for a scientific career within academia, fruitful contact network for future and sustainable collaboration, as well as personal and cultural enrichment. The achievement of the project objectives will create a paradigm for clean and low-cost water treatment technologies, including water strategies, environmental policies and economic programmes.

Keywords: schwertmannite adsorbents,water treatment,selenium contamination,low cost technology,mine water,agricultural drainage,sustainability
Intelligent Grid Platform (IGP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Germany
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-05-01
End date: 2019-08-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The energy sector is going through a transformation from a one directional centralized system in which energy is produced by a limited number of big power plants into a highly decentralized ecosystem due to the introduction of small-scale renewable energies and the electrification of mobility. In this situation, power distribution grid operators’ current workflows and IT systems cause inconsistent data management which complicates their planning and operation activities. Therefore, essential grid planning and operation workflows involve significant manual input. As a result, e.g. the evaluation of a connection request for a single new wind turbine often takes multiple days. Additionally, Smart Grid Technologies cannot be used to their full extent to avoid curtailment of renewables in congestion management, and to substitute conventional expensive grid capacity expansions. We have developed the Intelligent Grid Platform (IGP), the only integral software solution using machine learning algorithms to allow grid operators to reduce their operational and network expansion investment costs by giving them the means to clean and connect their data, digitize and automate their grid planning and operation activities and to more easily integrate smart grid technologies to help their operation processes and avoid expensive network capacity extensions. As a result, they save time and engineering resources by up to 70% and reduce grid operation and expansion costs by 40% to 60%. In this project, we will advance the IGP applications for online gird operation.

Keywords: smart grids,machine learning,dso planning and operation
Smart, energy efficient air-condition (CSMS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Israel
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2019-11-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Air-conditioning is a vital technology in many regions to ensure comfort, health and productivity but it consumes a lot of electricity and is thus expensive and environmentally harmful if fossil fuel-based electricity is used. Commercial chillers used in large buildings, such as hotels and office blocks, account for more than 30% of installed a/c capacity worldwide. However, the technology used is static and dated: it chills the water to a very low temperature so that it can cope with extremely hot weather, irrespective of the actual prevailing conditions. Keeping the chiller water colder than it needs to be leads to excess electricity consumption. Elencon has invented and developed a unique plug-and-play technology: using IoT sensors and machine learning, the system analyses a building's thermodynamic map and usage patterns and combines this with hourly weather forecasts and dynamic electricity pricing to set the chiller water to an optimal temperature, which is almost always higher than current set minimums. Prototype trials have shown that this reduces electricity consumption by 25 - 35%. In the case of one of our trial customers, a hotel in Tel Aviv, this translates into savings of € 70,000 p.a. The energy savings increase with the installed cooling power and frequency of use, which means that users of facilities with high cooling requirements save the most. We believe that our serviceable addressable market in Southern Europe and Israel is worth hundreds of millions, and that the global market is worth billions. Our technology is at TRL 7 and we've validated a shared savings model e.g. with large hotel chain, as well as with distributors in Israel, Italy and Cyprus. With our Phase 1 project, we aim to develop the most suitable go-to-market strategy, ensure can serve key-segments and prepare for productizing our technology.

Keywords: air conditioning,iot sensors,electric chillers
LEAF: heaL thE plAnet's Future (LEAF)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European researchers' Night
Action type: Marie Skłodowska-Curie actions
Countries involved: Italy
Call: European Researchers' Night (H2020-MSCA-NIGHT-2020bis, 2020)
Start date: 2021-04-01
End date: 2021-11-30
Duration (months): 8.0
Total project cost (EUR): 249500.0
EU funding (EUR): 249500.0
Participants: 1
Project status: CLOSED

The main objective of the LEAF (heaL thE plAnet's Future) project is to increase the awareness on the importance of research and innovation and improve trust in the researcher's work by effectively involving the society in experimenting science through 400 hands on events focused on a set of EU Green Deal selected topics (Farm to Fork, Biodiversity, Circular economy, Zero-pollution, toxic-free environments, Health & Wellbeing). The main goal is to make science accessible and fun to everyone, thus generating a practical understanding of how to cope with climate change issues. The LEAF project will be developed in 11 cities in Italy, thus involving 31 partners with a series of events happening between 20 to 25 of September 2020. The final result will be a relevant increase in the awareness of why and how the researcher's work is relevant for the benefit of our current and future planet, as well as effectively encouraging young people in embarking in scientific careers by generating a real impact on science.

Keywords: climate change,resilience,circular economy,science communication,science,research
Multi-hazard and sYstemic framework for enhancing Risk-Informed mAnagement and Decision-making in the E.U. (MYRIAD-EU)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Theme: Fighting and adapting to climate change
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Italy,Austria,Germany,Spain,Italy,Germany,Belgium,Romania,Norway,Netherlands,Netherlands,Netherlands,Netherlands,United Kingdom,United Kingdom
Call: Multi-hazard risk management for risk-informed decision-making in the E.U. (H2020-LC-CLA-2020-2, 2020)
Start date: 2021-09-01
End date: 2025-08-31
Duration (months): 48.0
Total project cost (EUR): 4999802.5
EU funding (EUR): 4999802.5
Participants: 19
Project status: SIGNED

MYRIAD-EU’s vision is to catalyse the paradigm shift required to move towards a multi-risk, multi-sector, systemic approach to risk management. Our aim is that by the end of MYRIAD-EU policy-makers, decision-makers, and practitioners can develop forward-looking disaster risk management pathways that assess trade-offs and synergies across sectors, hazards, and scales. We will co-develop the first harmonised framework for multi-hazard, multi-sector, systemic risk management. It provides a set of practical guidelines for carrying out a multi-risk assessment, formalised in guidance protocols. We will develop a web-based dashboard for navigating the framework, which gives access to state-of-the-art products and services of MYRIAD-EU and links to key resources from external projects. Central to MYRIAD-EU is a laboratory of systemic multi-hazard risk assessment and management. Within this laboratory, we co-develop the framework, and products and services to operationalise the framework, with stakeholders in five multi-scale Pilots: North Sea, Canary Islands, Scandinavia, Danube, Veneto. Each Pilot focuses on (interlinkages between) three of the following six sectors: infrastructure & transport, food & agriculture, ecosystems & forestry, energy, finance, tourism. For each Pilot, we examine multi-hazard risk within the region, as well as indirect, cross-sectoral, and interregional risks throughout the EU. MYRIAD-EU is designed to maximise impact. Our laboratory ensures that designing solutions to real-world challenges is central and that stakeholder co-development occurs throughout the project. To ensure that we reach key stakeholders, our consortium includes a Sectoral Representative for each of our key sectors - a leading institute from practice with an excellent network. MYRIAD-EU sets itself apart from other projects by addressing multi-hazard risk management through the lens of forward-looking sustainability challenges cutting across sectors, regions, and hazards.

Keywords: multi hazard,multi risk,systems analysis,risk scenarios,disaster risk management,adaptive pathways
Overcoming the Dominant Foreground of Inflationary B-modes: Tomography of Galactic Magnetic Dust via Measurements of Starlight Polarization (PASIPHAE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator 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: Greece
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-06-01
End date: 2024-05-31
Duration (months): 72.0
Total project cost (EUR): 1887500.0
EU funding (EUR): 1887500.0
Participants: 1
Project status: SIGNED

An inflation-probing B-mode signal in the polarization of the cosmic microwave background (CMB) would be a discovery of utmost importance in physics. While such a signal is aggressively pursued by experiments around the world, recent Planck results have showed that this breakthrough is still out of reach, because of contamination from Galactic dust. To get to the primordial B-modes, we need to subtract polarized emission of magnetized interstellar dust with high accuracy. A critical piece of this puzzle is the 3D structure of the magnetic field threading dust clouds, which cannot be accessed through microwave observations alone, since they record integrated emission along the line of sight. Instead, observations of a large number of stars at known distances in optical polarization, tracing the same CMB-obscuring dust, can map the magnetic field between them. The Gaia mission is measuring distances to a billion stars, providing an opportunity to produce, the first-ever tomographic map of the Galactic magnetic field, using optical polarization of starlight. Such a map would not only boost CMB polarization foreground removal, but it would also have a profound impact in a wide range of astrophysical research, including interstellar medium physics, high-energy astrophysics, and galactic evolution. Taking advantage of our privately-funded, novel-technology, high-accuracy WALOP optopolarimeters currently under construction, we propose an ambitious optopolarimetric program of unprecedented scale that can meet this challenge: a survey of both northern and southern Galactic polar regions targeted by CMB experiments, covering >10,000 square degrees, which will measure linear optical polarization at 0.2% accuracy of over 360 stars per square degree (over 3.5M stars, a 1000-fold increase over the state of the art), combining wide-field-optimized instruments and an extraordinary commitment of observing time by Skinakas Observatory and the South African Astronomical Observatory.

Keywords: polarisation,interstellar magnetic fields
European joint Effort toward a Highly Productive Programming Environment for Heterogeneous Exascale Computing (EPEEC) (EPEEC)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: High Performance Computing
Action type: Research and Innovation actions
Countries involved: Germany,Italy,Spain,Spain,Sweden,Belgium,France,France,Portugal
Call: Transition to Exascale Computing (H2020-FETHPC-2017, 2017)
Start date: 2018-10-01
End date: 2022-03-31
Duration (months): 42.0
Total project cost (EUR): 3990708.75
EU funding (EUR): 3990708.75
Participants: 10
Project status: CLOSED

EPEEC’s main goal is to develop and deploy a production-ready parallel programming environment that turns upcoming overwhelmingly-heterogeneous exascale supercomputers into manageable platforms for domain application developers. The consortium will significantly advance and integrate existing state-of-the-art components based on European technology (programming models, runtime systems, and tools) with key features enabling 3 overarching objectives: high coding productivity, high performance, and energy awareness. An automatic generator of compiler directives will provide outstanding coding productivity from the very beginning of the application developing/porting process. Developers will be able to leverage either shared memory or distributed-shared memory programming flavours, and code in their preferred language: C, Fortran, or C++. EPEEC will ensure the composability and interoperability of its programming models and runtimes, which will incorporate specific features to handle data-intensive and extreme-data applications. Enhanced leading-edge performance tools will offer integral profiling, performance prediction, and visualisation of traces. Five applications representative of different relevant scientific domains will serve as part of a strong inter-disciplinary co-design approach and as technology demonstrators. EPEEC exploits results from past FET projects that led to the cutting-edge software components it builds upon, and pursues influencing the most relevant parallel programming standardisation bodies. The consortium is composed of European institutions and individuals with the highest expertise in their field, including not only leading research centres and universities but also SME/start-up companies, all of them recognised as high-tech innovators worldwide. Adhering to the Work Programme’s guidelines, EPEEC features the participation of young and high-potential researchers, and includes careful dissemination, exploitation, and public engagement plans.

Keywords: programming enviroment,programming productivity