Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Interoperable, modular and Smart hybrid energy STORage systeM for stationarY applications (iSTORMY)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: A single, smart European electricity grid
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Austria,Belgium,Slovakia,Belgium,France,Netherlands,Netherlands,Netherlands
Call: Hybridisation of battery systems for stationary energy storage (H2020-LC-BAT-2020, 2020)
Start date: 2020-12-01
End date: 2024-05-31
Duration (months): 42.0
Total project cost (EUR): 3411130.0
EU funding (EUR): 3411130.0
Participants: 12
Project status: SIGNED

The iSTORMY project will propose an innovative and interoperable hybrid stationary energy storage system based on: modular battery pack (stacks/modules) + modular power electronics (PE) interface + universal Self-healing energy management strategy (SH-EMS). In particular the project will investigate and demonstrate: 1. Modular battery pack with hybridization at stacks/modules level (incl. slave pBMS) with a new universal BMS (adaptive interfaces + accurate SoX) at the top of the battery system for easy and fast integration and control. The hybridization will consist of different battery types or same type with different capacities (first and second life) and a smart modular solution will be developed to integrate the cooling system among modules or stacks. 2. Modular PE interface based on SiC devices with high efficiency (topology + adaptive local controller) and Digital Twin modeling. 3. Universal SH-EMS (based on machine learning and online algorithms) including the aging and thermal constraints for failure mechanisms.

Keywords: digital twin modelling,modular hybrid system,universal bms,modular power electronics interfaces,self healing energy management systems,test procedure,predictive maintenance algorithms
First fully autonomous fire detection and extinction system for industrial settings (FIREOUT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Austria
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

Fire is the most frequent hazard for industrial facilities processing or storing highly flammable material such recycling, waste-to-energy (W2E) and biomass plants. The waste management sector currently ranks as the 3rd most accident-prone industry, with fire being involved in nearly 80% of all accident occurrences. Fire represents one the biggest threats due to its devastating consequences: up to 70% of the companies suffering from a big fire report insolvency in the next year. Current fire protection systems do not accomplish the specific requirements of this type of industries yet. They have either a too long detection time (as those based on smoke detection) or a very high rate of false alarms (thermal detection). There are no automatic fire detection systems in the market as all of them require the permanent presence of a person that must determine whether the triggered alarm corresponds actually to a real fire. At GROMA247 we have brought together our expertise in fire prevention and software development to create FIREOUT, the first fire detection and extinction system in the market working fully autonomously and with a detection time below 1 minute. Our system captures thermal images with an IR camera that are processed by our outstanding SW that can unambiguously distinguish any hotspot from a real fire, reducing the number of false alarms to zero. In addition, we have incorporated an automatic fire extinction system linked to a 3D image able to direct the suppression agent only to the affected area. FIREOUT aims at reducing the unacceptable number of fire events happening in industrial facilities every year in Europe. We will positively impact this sector in terms of personnel safety and increase company’s benefits by reducing the impact of fire events in their businesses. Thanks to FIREOUT, at GROMA247 we expect to obtain revenues amounting €30 million and incorporate up to 25 new employees (headcount: 30) by the end of 2023.

Keywords: fire detection,fire extinction,ir camera,inflammable materials storage
Establishing the Hungarian Center of Excellence for Molecular Medicine in partnership with EMBL (HCEMM)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Specific Grant agreement
Countries involved: Germany,Hungary,Hungary,Hungary
Call: Teaming Phase 2 (H2020-WIDESPREAD-01-2016-2017-TeamingPhase2, 2016)
Start date: 2017-04-01
End date: 2025-03-31
Duration (months): 96.0
Total project cost (EUR): 14997310.0
EU funding (EUR): 14997310.0
Participants: 7
Project status: SIGNED

After having identified the barriers hindering European level competitiveness in the field of molecular medicine for Hungary, the University of Debrecen, the University of Szeged, the Semmelweis University and the Biological Research Center of the Hungarian Academy of Sciences united to create the Hungarian Centre of Excellence for Molecular Medicine (HCEMM). They were joined by the National Research, Innovation and Development Office representing the Hungarian Government as project coordinator and by the European Molecular Biology Laboratory as leading scientific institution. The goal of creating HCEMM is to develop a “game changer” organization in the form of a non-profit Ltd. which catalyzes reforming changes in the research culture and makes impact in the regional development of three Hungarian “knowledge regions”. The organizational and management model will ensure autonomy and scientific excellence with an international evaluation system. Research groups will be pursuing in cross cutting fields and will be reviewed every 5 years in order to ensure scientific excellence. Advanced core facilities, effective technology transfer and vibrant links to industry will also be provided. The headquarters will be in Szeged and the research groups will be located in state of the art facilities in Szeged and in Budapest. EMBL and HCEMM Nonprofit Kft. will conclude a partnership agreement, ensuring a continuous transfer of institutional, research and collaborative expertise, and access to the EMBL partnership network in Europe and beyond. Financing stability of HCEMM will be based on 52 M € coming from H2020 Teaming, the Hungarian Government and the founding institutions. For the long term sustainability the Governmental commitment and the financial support of the founding institutions will be gradually supplemented by increasing streams of income from diverse grant schemes, technology transfer, services, industrial collaborations.

Keywords: molecular medicine,hcemm,game changer,international evaluation,scientific excellence,sustainability,economic growth,embl partnership
On Time Emergency Response System (SECONDS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Netherlands
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-03-01
End date: 2019-06-30
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

For Emergency Medical Services (EMS), late arrivals and long response times constitute losses in lives and higher hospitalization costs. 5 mins is the best response time to save more lives and 12 mins is the maximum threshold EMS estimate for an ambulance to be helpful. These times, however, are hard to meet (>50% emergencies do not even meet the latter). In EMS dispatch centers, operators must assess emergencies in real time, based on their best effort to decide which vehicle arrangement is the most adequate for each scenario. Speed is critical, so pre-positioning vehicles is the key to meet the required response time. The high complexity of the system produces uncertain demand and supply (incidents and vehicle availability), which gets worse due to traffic, incident severity, multiple/simultaneous incidents, and different types/sizes of ambulances and associated equipment. SECONDS is an innovative, real-time vehicle management system for emergency dispatchers, maximizing coverage and reducing response time. It provides +35% ambulance arrivals below 12-min threshold time; it is able to manage simultaneous incidents in the same area; it forecasts locations with a higher emergency probability and provides predictive incident location, which means 25% less vehicle driving mileage, higher vehicle availability; faster patient delivery to hospital; less pollution. For EMS dispatch center operators, it will provide 2.5 faster response time, asset (vehicle + medical staff) usability management, reduced cost and crew overtime, as well as better decisions – less pressure on operators – and better monitoring. For citizens/persons in need, it will bring a higher survival rate (up to 14% mortality reduction) and richer experience – better care. SECONDS will bring our company international expansion, valuable IP assets, €24.6M profits over 5 years via subscriptions/consulting, a ROI of 844% and the creation of 59 additional qualified jobs.

Keywords: emergency medical services,emergency dispatchers,ambulance,response time,vehicle coverage,vehicle relocation,vehicle management system,predictive engine
Connecting families with optimal homecare providers through a real-time machine learning matching platform. (TalentMondo)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Türkiye
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-04-01
End date: 2019-09-30
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

TalentMondo is the world's first skill-based marketplace platform that uses machine learning to optimally match families with homecare providers. TalentMondo makes the traditional and lengthy matching process near instant. It provides both families and homecare providers with optimal, real-time matched results, that adapt to the ever-changing demands of the homecare market. TalentMondo economically empowers both families and homecare providers. TalentMondo is a multisided business that serves two user segments both in need of each other; families and homecare providers. Families include those in need of someone to look after another member, e.g. an elder, a child. Homecare providers include those that provide services to families at the point of need, i.e. at the clients home. These include elderly carers and childminders. We charge a commission for every short-term booking and for every long-term booking made through TalentMondo. We will commercialise through business partnerships that will offer the solution to their workforce. For businesses, TalentMondo will increase productivity and worker satisfaction. In 2016, we were selected as the most innovative technology start-up in Turkey by the prestigious start-up support organization Webrazzi. Since then we have also closed two investment rounds from well-known investors. The prototype of TalentMondo has been successfully tested throughout Turkey with 30,000 families and 3,500 caregivers. We plan to match over 470,000 families with homecare providers, making over €11m in cumulative revenue within 3 years of commercialisation. The proposed project will help us reach this goal by enabling us to optimise the matching algorithm, localise TalentMondo to new markets, undertake a large scale pan-European pilot, as well as scale up our business for commercialisation.
Pilot using Independent Local & Open Technologies (The European PILOT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: European High Performance Computing
Action type: Research and Innovation actions
Partnership: EuroHPC (Art-187)
Countries involved: Germany,Italy,Italy,Italy,Italy,Italy,Germany,Germany,Germany,Spain,Switzerland,Croatia,Sweden,Sweden,Türkiye,Greece,Greece,France,France
Call: Advanced pilots towards the European supercomputers (H2020-JTI-EuroHPC-2020-1, 2020)
Start date: 2021-12-01
End date: 2025-05-31
Duration (months): 42.0
Total project cost (EUR): 29999925.0
EU funding (EUR): 14999962.51
Participants: 23
Project status: SIGNED

Accelerators provide the majority of performance in modern High Performance Computing (HPC) systems and are the fundamental building blocks for Exascale systems. The European PILOT (Pilot using Independent Local & Open Technology) will be the first demonstration of two ALL European HPC and High Performance Data Analytics (HPDA) (AI, ML, DL) accelerators, designed, implemented, manufactured, and owned by Europe. The European PILOT combines open source software (SW) and open and proprietary hardware (HW) to deliver the first completely European full stack software, accelerator, and integrated ecosystem based on RISC-V accelerators coupled to any general purpose processor (CPU) via PCIe Gen 6.0 or CXL 3.0. This pilot will demonstrate key HPC and HPDA workloads and software stacks. The European PILOT is also the first to demonstrate an ALL European HPC ecosystem. The accelerators will be manufactured in the new European GlobalFoundries 12 nm advanced silicon technology, a major demonstration of European technology independence. The European PILOT combines cutting edge research utilizing SW/HW co-design to demonstrate HPC and HPDA accelerators running key applications and libraries in a full software stack including middleware, runtimes, compilers, and tools for the emerging RISC-V ecosystem. The European PILOT is able to produce a full stack (SW and HW) research prototype by leveraging and extending the work done in multiple European projects like: EPI, MEEP, POP2 CoE, EuroEXA, and ExaNeSt. This pre-production system can only be realized with a combination of existing IP, HW emulation using FPGAs, and real ASIC prototypes that demonstrate the full stack feasibility of the hardware and software. Finally, while the applications we use span AI to HPC, the aggressive ASIC implementation (chiplet size and small geometry) will be the smallest technology node manufactured in Europe and can easily be adapted for a near-future HPC implementation.

Keywords: hardware,energy efficiency,scalability,accelerator,machine learning
Tracking past human impact on islands by improving palaeoecological reconstructions with PalEnDNA analysis (ISLANDPALECO)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Global Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Environment and Geosciences
Countries involved: Spain,New Zealand
Call: Marie Skłodowska-Curie Individual Fellowships (IF-GF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-01
End date: 2019-09-30
Duration (months): 36.0
Total project cost (EUR): 251276.4
EU funding (EUR): 251276.4
Participants: 2
Project status: CLOSED

Island ecosystems host a significant proportion of global biodiversity, but their rich insular biotas are also more vulnerable and less resistant to novel pressures than continental biotas. Human colonization has been a relatively recent event on most islands globally, and has nearly always resulted in devastating losses of biodiversity. The Canary Islands were no exception; these oceanic islands were colonized by aborigines more than 2000 years ago and later by Europeans, and have been transformed since this time. Despite being one of the most biodiverse regions within Europe and a target for EU biodiversity policies, there is a key knowledge gap about the pre-human state and natural variability of unmodified Canarian ecosystems that could help planners and managers to guide their strategies. This makes the Canaries the perfect place to reconstruct baseline ecosystem states and the long-term impacts of human activities. ISLANDPALECO will assess the timing and extent of human impact on Canary Island ecosystems by providing detailed reconstructions of past environments, combining leading edge and conventional palaeoecological tools and integrating the results in conservation ecology and management strategies. The project will provide new expertise in Canary Island palaeoenvironmental reconstructions through training the ER in the latest palaeoenvironmental DNA analysis (PalEnDNA) at the Landcare Research Long-Term Ecology Lab, one of the few labs in the world where this rapidly emerging field in palaeoecology is being applied to conservation on island settings. ISLANDPALECO will provide the ER with a new skill set in ancient molecular research that will be transferred to the University of La Laguna where they currently do not exist. This will be the first time that PalEnDNA analysis will be implemented in the Canaries and probably one of the few cases on islands, becoming a valuable benchmark example of the applicability of PalEnDNA analysis in other island regions.

Keywords: aborigines,ancient dna,conservation ecology,human impact,islands,fossil pollen,vegetation reconstruction
(Re)Conceptualizing teacher educator professionalism (ReconTEP)

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: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-01
End date: 2019-08-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

The need for a competent teaching force as a warrant for high quality education remains a central concern in many countries. Paradoxically, research focusing directly on the professional knowledge of teacher educators remains scarce. The implicit assumption is that a teacher educator simply teaches (his/her subject) in higher education and that teaching novice teachers does not require any additional preparation or expertise. As a result, a research-based understanding of teacher educators' professionalism is missing. This project addresses this knowledge gap and focuses on how teacher educators make sense of their work and enact their expertise. More specifically, we will study the content of teacher educators’ professionalism by looking at how it actually operates in practice. Drawing on positioning theory, we frame teacher education practices as discursive practices in which teacher educators position both themselves and their student teachers in particular ways. These positionings strongly impact student teachers' (possibilities for) learning. Data collection includes videotaping of teacher education practices, biographical interviews (with teacher educators), questionnaires (with student teachers), and document analysis. This project will result in a systematic conceptualization of teacher educators' professionalism which is new to the field and offers a strong basis for future research. Results will also have direct knowledge utilization purposes for teacher educators themselves by opening powerful perspectives for them to understand possible threats to the effectiveness of their practice and actively work towards its improvement.

Keywords: teacher educator,teacher education,professionalism,positioning theory,qualitative research,narrative inquriy
The threat status of endemic Atlantic Forest trees (THREAT)

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: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-08-01
End date: 2020-10-12
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

One of the most drastic impacts of man on Earth is species extinctions. We do not know how many species are extinct and how many will go extinct, but we may be experiencing a sixth mass extinction. Thus, actions to help protect species from extinction are urgently needed. These actions should be prioritized in biomes such as tropical forests that shelter enormous biodiversity but have increasingly been impacted. One example is the Atlantic Forest in South America. It shelters around 5% of world species, half of them being endemic. But 86% of its original extent has already been lost and only about 1% is effectively protected. To support the protection of the Atlantic Forest, this proposal has the following goals: (i) to assess the threat status of endemic Atlantic Forest trees (EAFT) based on all criteria of the International Union for Conservation of Nature (IUCN), (ii) to quantify the evolutionary uniqueness of globally threatened EAFT, (iii) provide guidelines to conserve threatened EAFT, including the identification of gaps of knowledge and priority areas for their conservation, and (iv) to involve the local society in species conservation through the proposal of a citizen science program. The proposed action is perfectly aligned with targets of the United Nations Strategic Plan for Biodiversity 2011-2020, the Global Strategy for Plant Conservation 2011-2020 and the IUCN Global Tree Specialist Group. It is multi-disciplinary with both scientific and applied components. It combines large datasets with high-resolution maps, up-to-date modelling techniques and the expertises of researchers from four different countries. It will also provide new information that can be readily used by conservation agencies. Finally, it will engage different social actors to launch a conservation and educational program based on the involvement of local people.

Keywords: biodiversity conservation,biodiversity hotspots,citizen science,deforestation,edge species,human impacts,species extinctions,species distribution models,trees,tropical forests