Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Enabling Smart Energy as a Service via 5G Mobile Network advances (NRG-5) (NRG-5)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: 5G PPP (cPPP)
Countries involved: Germany,Spain,Spain,Italy,Italy,Italy,Italy,Romania,Greece,Greece,Greece,Romania,Slovenia,France,France,France,United States,Denmark,United Kingdom,United Kingdom
Call: 5G PPP Research and Validation of critical technologies and systems (H2020-ICT-2016-2, 2016)
Start date: 2017-06-01
End date: 2019-11-30
Duration (months): 30.0
Total project cost (EUR): 6941275.0
EU funding (EUR): 6833775.0
Participants: 24
Project status: CLOSED

Despite a number of software frameworks and reference architectures have made available for 5G enabling technologies, there is a clear gap to bridge towards 5G seamless application with a number of “vertical” sectors. Energy vertical represents undoubtedly one of the most significant “test cases” for 5G enabling technologies, due to the need of addressing a huge range of very diverse requirements to deal with across a variety of applications (stringent capacity for smart metering/AMI versus latency for supervisory control and fault localization).However, to effectively support energy utilities along their transition towards more decentralized renewable-oriented systems, several open issues still remain as to 5G networks management automation, security, resilience, scalability and portability. To face these issues, NRG-5 will research and develop a novel 5G PPP-compliant software framework specifically tailored to the energy domain, which combines i) trusted, scalable and lock-in free plug ‘n’ play support for a variety of constrained devices; ii) 5G devices’ abstractions to demonstrate mMTC, uMTC and xMBB communications coupled with partially distributed, trusted, end-to-end security and MCM to enable secure, scalable and energy efficient communications; iii) extended Mobile Edge Computing (xMEC) micro-clouds to reduce backhaul load, increase the overall network capacity and reduce delays, while facilitating the deployment of generic MTC-related NFVs and utility-centric VNFs; iv) an extended 5G ETSI-MANO predictive analytics framework to support automated, dynamic, elastic VNF reconfiguration. Extensive lab based validation will be complemented with real life demonstrations in two pilot sites (Italy, France) where proof-of-concept implementations for 5G-enabled electricity and gas distribution network optimized management will be offered, while offering support to 5G PPP phase III projects via demonstrating high replication potential towards other verticals.

Keywords: 5g networks,network resilience,network security,network management automation,elastic network services,predictive big data analytics,mobile edge cloud,energy vertical use case
Conjugated Polymers for Light-Driven Hydrogen Evolution from Water (PolymersForSolarFuel)

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: Chemistry
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-03-01
End date: 2020-02-29
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

With a steadily increasing demand of the global energy consumption and reliance of geopolitically sensitive sources of energy, such as petroleum and coal, there has never been such an urgency to explore alternative clean, renewable energy supplies. Aside from the obvious limitations in availability, those raw materials and their combustion products are considered polluting and low-efficient. Attempts have been made to address these concerns by introduction of solar panels, wind and hydro-electric power. While those solutions intermittently reach high efficiencies and can be used complimentary to each other, one challenge remains unmet—the supply of storable energy. The project PolymersForSolarFuel will address globally relevant challenges in the field of renewable energy generation and storage. It will combine established concepts from the fields of photovoltaics, photocatalysis, and polymer synthesis and enable the development of novel sustainable materials for solar-driven evolution of hydrogen from water. The “PolymersForSolarFuel” project aims to: a) investigate organic materials and contribute to an overall database of photoactive compounds, b) select most promising candidates through property-related screening, c) cross-examine physical (two-component) and chemical (one-component) combinations of such materials and identify most promising final candidate(s) and d) develop scale-up protocols and assemble a prototype of a feasible size. This proposal will detail the work action and outline the beneficial synergy between the host’s experience in the field of photocatalytic hydrogen evolution and the applicant’s experience in synthetic chemistry and in-depth analysis of organic compounds and their structure-to-function relationships. It will further identify contributions towards the personal and professional development of the applicant and show the overall share in advancement of science and education of the public in Europe within a cutting-edge research field.
Demand-driven and business co-creation for a new innovation business model (inDemand-RCT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Spain
Call: Supporting experimentation in innovation agencies (H2020-INNOSUP-2018-06-two-stage, 2018)
Start date: 2019-12-01
End date: 2023-05-31
Duration (months): 42.0
Total project cost (EUR): 497500.0
EU funding (EUR): 497500.0
Participants: 1
Project status: SIGNED

Explore & experiment a new business demand-driven model, based on co-creation patterns between customers & Smes. Two call for proposals will be launched in parallel in all priority RIS-3 sectors, by measuring the impact of interventions via randomised control trials and by making a comparative evaluation of results with a view to get identified the most sustainable model in time: that is inDemand-RTC. A pilot inDemand is currently piloting this new co-creation model in the Health sector between the demand side (public entity) with its suppliers (private companies), brokered by added-value intermediaries (public funders of innovation and business support organisations), with the objective to jointly find solutions to the unmet needs of the demand side. INFO Murcia is entity entrusted by regional government to develop/or implement innovation support programmes for SMEs. INFO is an example of RDAs whose innovation schemes remain with no variation in time (eg. Launching classical supply oriented calls for proposals funded by ERDF) and no adequate way of testing their effectiveness. Being inspired in inDemand, inDemand-RCT is to experiment a new co-creation model between the demand of technology solutions (customers from the priority RIS-3 sectors in the Murcia region) with its suppliers (SMEs), brokered by added-value intermediaries (INFO as public funder of innovation and business support organisations), with the objective to jointly find R+D+i solutions to the unmet needs of the demand side. The purpose will be to accreditate that inDemand-RCT model offers better results than the traditional method . Thus, it is to be experimented the comparison between two situations, the one traditional without neither specific challenges nor monitoring the impact of interventions following RCT and the one with spscific challenges and making use of such RCT measurement. Such a scientific study will compare both approaches with a view to monitor & compare the results obtained.

Keywords: innovation rdas smes grants
Innovation Capacity Building in SMEs (InnoCAP) (InnoCAP)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Austria
Call: Supporting experimentation in innovation agencies (H2020-INNOSUP-2018-06-two-stage, 2018)
Start date: 2019-08-01
End date: 2023-04-30
Duration (months): 45.0
Total project cost (EUR): 500000.0
EU funding (EUR): 500000.0
Participants: 1
Project status: SIGNED

In 2017 FFG launched a pilot scheme for a new program called “Impact Innovation”, which was continued in 2018. “Impact Innovation” supports non-technical innovation projects of SMEs. For the design of the program FFG started an intensive dialog The main objective of the proposed project is to conduct a large-scale experimental pilot and test if a set of complementary and easy scalable support measures (a combination of mentoring and software tools) can increase the innovation capacity in SMEs. Therefore, a randomized controlled trial (RCT) will be conducted within the existing funding scheme “Impact Innovation” of the Austrian Research Promotion Agency/FFG, which will be adapted accordingly and considerably improved in order to test the hypotheses by the respective control groups. The funding scheme “Impact Innovation” has a strong focus on the innovation management of the funded projects; thus the internal resources and the team capacity are highly relevant to the success of the project. By providing complementary tools to structure the innovation management (regarding process and resources) within the beneficiary and providing high-quality external mentoring, FFG will test an innovative, effective and efficient combination of support measures that aim at improving the success rate of funded projects and improve their execution. Through an evidence-based RCT, FFG will pilot a new innovative support scheme to address one of the major challenges that most funded projects have: bringing new innovative products/services/business models to the market, based on the results of publicly funded research projects. FFG is going to measure the outcomes concretely by the fulfillment of project objectives and plan, the use of innovation methods and the product/service success indicators like turnover or company growth within a given timeframe.

Keywords: innovation capacity,support measures,randomised controlled trials rcts
Hypothalamic Modulation of Neocortical States (HYMNS)

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: Life Sciences
Countries involved: Switzerland,United States,United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2018, 2018)
Start date: 2021-01-01
End date: 2024-07-29
Duration (months): 35.0
Total project cost (EUR): 278840.55
EU funding (EUR): 278840.55
Participants: 3
Project status: SIGNED

The neocortex is densely innervated by neuromodulatory systems that act through the release of hormones, neuropeptides, and neurotransmitters such as histamine (HA), acetylcholine (ACh), noradrenaline (NA), dopamine (DA), and serotonin (5-HT), which modulate cortical function by diffusely targeting neurons and synapses in neural microcircuits. These neuromodulators regulate shifts between behavioral states such as sleep and wakefulness, or distraction and attention by controlling rhythmic network activity. It is thought that neuromodulators regulate rhythmic activity by controlling the intrinsic characteristics of neuronal networks across different organizational levels – dendritic properties, cellular physiology, synaptic plasticity, and microcircuit dynamics. Recent work has demonstrated that high-frequency “gamma” oscillations (30-80 Hz), which crucially subserve cognitive processes such as attention, learning and memory, are associated with an increase in HA levels in subcortical regions. Altered levels of HA in the neocortex and dysfunction of its receptors have been implicated in the onset of Alzheimer’s and Parkinson’s disease – pathologies whose economic cost to Europe has been estimated at about € 200 billion per year. Despite the importance of HA in brain function and dysfunction, the mechanisms through which it controls neuronal, synaptic, dendritic, and microcircuit activity in the neocortex are unknown. Therefore, the objective of the HYMNS project is to employ an innovative combination of experiments and computational modelling to provide a unifying view of the mechanisms by which HA enables rhythmic microcircuit activity by controlling different organizational levels in the neocortex. The novel methods established in HYMNS will be useful not only for studies of HA but also for future investigations of other neuromodulators.

Keywords: hypothalamus,cortex,microcircuits,neurons,synaptic transmission,electrophysiology,dendrites,network activity,neuromodulators,histamine
AI Transfer Learning in Industrial IoT (AI-TRAIN)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Coordination and support actions
Countries involved: Denmark
Call: European SME innovation Associate - pilot (H2020-INNOSUP-2020-02, 2020)
Start date: 2020-10-01
End date: 2021-09-30
Duration (months): 12.0
Total project cost (EUR): 167142.86
EU funding (EUR): 117000.0
Participants: 1
Project status: CLOSED

VERTIKAL is a deep-tech startup located in Vejle, Denmark, with a mission to realize the potential of AI to boost wind turbine performance and thus accelerate the transition towards a society powered by renewable energy. The AI-assisted monitoring platform from VERTIKAL provides wind turbine operators with a highly improved and scalable turbine monitoring workflow. However, the technology still holds a significant untapped potential which needs further development and commercial efforts to fully unleash. A barrier towards the performance and the wider application of AI technology in the Wind Turbine IoT domain is data scarcity from rare events distributed across diverse assets, sensor systems and time In the AI-TRAIN project, VERTIKAL proposes an ambitious R&D effort that seeks to close the gap between the requirements of state-of-the-art machine learning architectures and the data collected in the wind turbine monitoring domain. The 12-month R&D project to be initiated by the Innovation Associate (IA) will be a cornerstone in the efforts to build a long term sustainable competitive advantage for VERTIKAL and integrated into the long R&D pipeline at the company. The R&D results will directly help decarbonising the energy sector and contributes to the digital transformation in the sustainable energy sector. VERTIKAL prides itself on supporting the priorities of the European Green Deal for becoming a climate-neutral EU by 2050.

Keywords: artificial intelligence,wind turbines,predictive maintenance
Predictive Epigenetics: Fusing Theory and Experiment (PEP-NET)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Italy,Australia,Italy,Germany,Germany,Switzerland,Belgium,France,United States,Denmark,United Kingdom,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2018-11-01
End date: 2023-04-30
Duration (months): 54.0
Total project cost (EUR): 4062699.72
EU funding (EUR): 4062699.7199999997
Participants: 16
Project status: SIGNED

Epigenetic mechanisms of gene regulation are profoundly implicated in human health and disease. However, we are still far from a complete mechanistic understanding of many epigenetic processes. Without an understanding of mechanisms we cannot fully understand function in healthy cells, in disease states, and the effects and side effects of therapeutic interventions. This severely limits the development of healthcare strategies. Research in epigenetics has typically been based on experiments and not on theory. Although this has delivered large amounts of information, information alone is not sufficient. Further progress urgently needs a paradigm shift in the way in which we study epigenetics, namely: epigenetics needs mathematics. Mathematical models are essential to capture and understand the complex, dynamic and stochastic nature of epigenetic regulation. Models are immensely powerful because they identify unifying concepts and enable predictions of system properties. Modelling epigenetic processes not only holds the key to a deep mechanistic understanding, but also ultimately, to drug response predictions, patient-specific diagnoses and new therapies. One of the greatest challenges to uniting biology and mathematics is the barrier between disciplines, because education in each field has traditionally been mono-disciplinary. The PEP-NET ITN will overcome these barriers by uniting 16 outstanding European academic laboratories and companies who have pioneered the successful combination of theoretical and experimental epigenetics. PEP-NET will train a new cohort of 15 European researchers to combine quantitative experiments with predictive theoretical models, and to apply this knowledge to basic and applied questions of epigenetic function.

Keywords: quantitative modelling
Applications and Hardware for Photonic Quantum Information Processing (AppQInfo)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Training Networks
Action type: Marie Skłodowska-Curie actions
Panel: Physics
Countries involved: Austria,Italy,Belgium,Switzerland,Switzerland,Poland,France,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2020, 2020)
Start date: 2021-03-01
End date: 2025-02-28
Duration (months): 48.0
Total project cost (EUR): 4094013.24
EU funding (EUR): 4094013.24
Participants: 9
Project status: SIGNED

AppQInfo will provide a world class training in photonic Quantum Information Processing (pQIP), and prepare an excellent cohort of Early Stage Researchers (ESRs) to become the future R&D staff of Europe’s emerging markets in this area. Quantum Information Processing (QIP) is a key ingredient in Europe’s future Quantum Communication Infrastructure; it underpins quantum communications and quantum simulations, the first two pillars of the H2020 Quantum Flagship. QIP will revolutionise information technology, providing higher quality, speed and unconditional security, not possible with classical technologies. AppQInfo focusses on QIP in state-of-the-art integrated photonics, one of five Key Enabling Technologies for European Industry. Integrated photonics permits the creation, manipulation and readout of photonic quantum states in a highly controlled manner, with high speeds and low losses. The broad objectives of AppQInfo are: to create an excellent training of ESRs in the field of pQIP that is both interdisciplinary and intersectoral; to develop innovative, entrepreneurial ESRs with great career prospects; to maximise the exploitation and dissemination of our research; to engage the public through several outreach activities; to consolidate a wide expertise in the field of pQIP; to create a long-lasting collaboration network of top-class research units and industrial entities. Together, our 15 interdisciplinary research projects will work towards feasible long-distance quantum communications from urban-scale networks to satellite-based systems using various data encoding; study quantum photonic circuits towards their quantum transport properties and quantum transforms they implement; exploit these platforms for machine learning applications, such as building all-optical artificial neural networks, and applying them for quantum simulations; develop enabling technologies of sources and detectors of multiphoton quantum states and polaritonic logic gates.

Keywords: photonic quantum technologies,quantum information processing,quantum communication,quantum simulations,sources and detectors of quantum light,multiphoton quantum states
Utilizing the fusion machinery of Herpes Simplex Virus to unveil the general process of membrane fusion (KGBVIFEF)

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: Life Sciences
Countries involved: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2014, 2014)
Start date: 2015-05-01
End date: 2017-04-30
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Membrane fusion is a basic cell biological process found in diverse pathways ranging from vesicle trafficking and cell division to viral host entry. It is mediated by fusion proteins residing in the membrane. The underlying molecular mechanisms are supposed to follow a common order of events, i.e. fusion through hemifusion. Cell entry of Herpes simplex virus-1 (HSV-1) is enabled by glycoproteins residing on the viral envelope membrane. In contrast to other viruses, this is accomplished by different glycoprotein species, mediating together the attachment and subsequent fusion between the viral and host cell membrane. At least four of these proteins are essential for membrane deformation leading to fusion pore formation. In the here proposed project, I will take advantage of the modularity of the HSV-1 fusion machinery to dissect this process into discrete steps which I will analyse in situ at molecular resolution to determine the molecular details of membrane fusion. To do so, I will employ a multidisciplinary approach combining methods and data from structural biology, biochemistry as well as biophysics and molecular dynamics to solve the mechanistic details of a cell biological question. This includes fluorescence and cryo electron microscopy and tomography full-length membrane glycoprotein purification and biochemical reconstitution methods, biomolecular interaction and structural X-ray analysis, sub-volume averaging and classification as well as single particle imaging. To find the nenecessary triggers for fusion I will reconstitute the complete fusion system and thereby reveal the spatio-temporal changes that catalyse the fusion process. Taken together this structure-functional study will enable insights into hitherto ill-characterised intermediates in the conserved mechanism of membrane fusion. This project is a great opportunity to expand my research competence at the interphase of different fields ranging from cellular and structural biology to biophysics.

Keywords: protein induced membrane fusion,membrane interaction,herpes simplex virus,cell entry,fusion complex,cryo electron microscopy,tomography,single particle imaging