Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
An Electronic Corpus of Anonymous Homilies in Old English (ECHOE)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Cultures and cultural production
Panel description: Literary studies, cultural studies, study of the arts, philosophy
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2017-COG, 2017)
Start date: 2018-09-01
End date: 2024-08-31
Duration (months): 72.0
Total project cost (EUR): 1951250.0
EU funding (EUR): 1951250.0
Participants: 1
Project status: SIGNED

Anonymous Old English preaching texts, written and copied between the ninth and late twelfth centuries, survive in ca. 350 versions in ca. 55 manuscripts. They represent the most comprehensive vernacular preaching corpus of medieval Europe before 1200 AD and depend almost entirely on a wide variety of Latin sources from all over the continent. This project will revolutionise scholarly work on Old English anonymous homilies by tracing, visualising, and studying their highly complex material and textual transmission in full. It will recover, unite, and systematise all surviving Old English anonymous homilies (ca. 500,000 words) in an online and interactive digital corpus that brings to the fore the individual manuscript version and all its revisional layers from before 1200. The project counters traditional editorial models of collation by exposing substantial textual difference and by analysing compositional and variational strategies. This will enable users for the first time to comprehensively study Old English anonymous homilies as living texts through the centuries. ECHOE will a) introduce a new taxonomy for the homiletic corpus, b) identify the closest Latin and Old English sources, c) identify the compositional structure of mobile textual units between related versions of the corpus, d) mark up decisive palaeographical features, idiosyncratic diction, formulas, themes, and genres, and e) assess the historical, social, and theological dimension of revisions and the roles of individual revisers in the making of English Christianity. The digital corpus will reveal for the first time the complex network of interrelated versions and allow for a swift in-depth comparison of parallels and their sources. It will further allow modern audiences to explore the chronological as well as geographical relations between Old English homilies and their European sources, and will open up new perspectives on the identity of authors, revisers, users, and audiences.

Keywords: old english literature,homiletics,anglo latin literature
Phononic Circuits: manipulation and coherent control of phonons (PHONUIT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Condensed matter physics
Panel description: Structure, electronic properties, fluids, nanosciences, biological physics
Countries involved: Switzerland
Call: ERC Starting Grant (ERC-2017-STG, 2017)
Start date: 2018-01-01
End date: 2023-10-31
Duration (months): 70.0
Total project cost (EUR): 1488387.5
EU funding (EUR): 1488387.5
Participants: 1
Project status: SIGNED

In the last decades, the power to control photons and electrons paved the way for extraordinary technological developments in electronic and optoelectronic applications. The same degree of control is still lacking with quantized lattice vibrations, i.e. phonons. Phonons are the carriers of heat and sound. The understanding and ability to manipulate phonons as quantum particles in solids enable the control of coherent phonon transport, which is of fundamental interest and could also be exploited in applications. Logic operations can be realized with the manipulation of phonons both in their coherent and incoherent form in order to switch, amplify, and route signals, and to store information. If brought to a mature level, phononic devices can become complementary to the conventional electronics, opening new opportunities. I envision to realize each part of this technology exploiting phonons and to bring them together in an integrated circuit on chip: a phononic integrated circuit. The objective of the proposal is: A: the realization of coherent phonon source and detector; B: the realization of phonon computation with the use of thermal logic gates; C: the realization of phonon based quantum and thermal memories. To this end it is crucial to engineer nanoscale heterostructures with suitable interfaces, and to engineer the phonon spectrum and the interface thermal resistance. Phonons will be launched, probed and manipulated with a combination of pump-probe experiments and resistive thermal measurements on chip. The proposed research will be of great relevance for fundamental research as well as for technological applications in the field of sound and thermal management.
5G Mobile Network Architecture for diverse services, use cases, and applications in 5G and beyond (5G-MoNArch)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: 5G PPP (cPPP)
Countries involved: Germany,Spain,Germany,Germany,Italy,Germany,Germany,Greece,Greece,France,France,United Kingdom,United Kingdom
Call: 5G PPP Research and Validation of critical technologies and systems (H2020-ICT-2016-2, 2016)
Start date: 2017-07-01
End date: 2019-06-30
Duration (months): 24.0
Total project cost (EUR): 7681088.75
EU funding (EUR): 7681088.75
Participants: 17
Project status: CLOSED

Motivation: The expected diversity of services and use cases in 5G requires a flexible, adaptable, and programmable architecture. While the design of such an architecture has been addressed by 5G-PPP Phase 1 at a conceptual level, it must be brought into practice in Phase 2. To this end, 5G-MoNArch will (i) evolve 5G-PPP Phase 1 concepts to a fully-fledged architecture, (ii) develop prototype implementations and (iii) apply these prototypes to representative use cases. Approach: 5G-MoNArch architecture design will combine Phase 1 concepts (such as virtualisation, slicing and orchestration of access and core functions) with three enabling innovations that fill gaps not ad-dressed in Phase 1: (i) inter-slice control and cross-domain management, to enable the coordination across slices and domains, (ii) experiment-driven optimization, to leverage experimental results to design highly performing algorithms, and (iii) cloud-enabled protocol stack, to gain flexibility in the orchestration of virtualised functions. Testbeds: The devised architecture will be deployed in two testbeds: (i) the sea port, representative of a vertical industry use case, and (ii) the touristic city, representative of a mobile operator deployment. For each testbed, 5G-MoNArch will instantiate the architecture and complement it with a use case specific functionality – the two functional innovations of 5G-MoNArch: (i) resilience and security, needed to meet the sea port requirements, and (ii) resource elasticity, to make an efficient use of the resources in the touristic city. Impact: 5G-MoNArch has a very high potential for commercial impact, including enhanced products (e.g., orchestrators or edge-cloud RAN), novel services (enabled by network slicing) and opportunities for new market players. To exploit this potential, 5G-MoNArch has elaborated a thorough and realistic innovation plan that includes patents and standards.

Keywords: radio system architecture,inter slice control and cross domain management,cloud enabled ran,re source elasticity,resilience,security,vertical industries and connected society testbed
Enabling TECHNOlogies-driven chemistry: a tailored TRAINing research program for batch and flow synthesis of chiral amino derivatives (TECHNOTRAIN)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Innovative Training Networks (ITN)-European Industrial Doctorates
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Germany,Italy
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2018-11-01
End date: 2022-10-31
Duration (months): 48.0
Total project cost (EUR): 784499.04
EU funding (EUR): 784499.04
Participants: 2
Project status: CLOSED

The main aim of “TECHNOTRAIN” proposal (Enabling TECHNOlogies-driven chemistry: a tailored TRAINing research program for batch and flow synthesis of chiral amino derivatives) is to create a training platform for young European researchers, based on the creativity, flexibility and accuracy characteristic of an academic working environment, but with an industrial focus. “TECHNOTRAIN” has the specific objective to develop general, reproducible and also profitable, stereoselective, catalytic synthetic methods applicable for industrial production of enantiomerically pure, functionalized amino derivatives featuring a quaternary stereocenter. Target molecules will be chiral pharmaceutically active ingredients, or immediate precursors, including nonproteogenic alfa-disubstituted-amino acids. The aim is both to synthesize specific target molecules and to develop highly efficient, technology-driven methodologies. Continuous flow processes will be considered, to perform a fast screening of the reaction conditions, and then, with the optimized conditions in hand, to scale up the reaction (by scaling-out or numbering up or scaling-up). The combination of two modern, catalytic strategies (photocatalysis and organocatalysis) with safe and environmental friendly technologies (including the use of 3D-printed devices) is a key step towards the development of a more efficient and sustainable chemistry, in line with the Europe strategy. A future generation of scientists will be trained to face the challenges imposed by the transfer the new, green technologies into industrial processes. Another primary objective of “TECHNOTRAIN” is to develop a modern training model for young European researchers, where education is realized through research and a strong interaction between public and private sector. The project wishes to be truly a prototype of an efficient European research training structure aimed at growing young researchers capable of interacting with the private sector research.

Keywords: enabling technologies,flow chemistry,3d printing,organocatalysis,photocatalysis,chiral amines,active pharmaceutical ingredients
Human-Centric Energy Districts: Smart Value Generation by Building Efficiency and Energy Justice for Sustainable Living (Smart-BEEjS)

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: Economic Sciences
Countries involved: Austria,Germany,Italy,Italy,Germany,Spain,Germany,Italy,Switzerland,Netherlands,Netherlands,Portugal,United Kingdom,United Kingdom,United Kingdom,Portugal,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2018, 2018)
Start date: 2019-04-01
End date: 2023-04-30
Duration (months): 49.0
Total project cost (EUR): 3981590.64
EU funding (EUR): 3981590.64
Participants: 24
Project status: SIGNED

The EU has used the Strategic Energy Technology Plan to transfer power to consumers, by decentralising the energy eco-system by establishing “100 positive energy districts by 2025 and 80% of electricity consumption to be managed by consumers in 4 out of 5 households”. The SMART-BEEjS recognises that this requires the systemic synergy of the different stakeholders, balancing attention towards technological and policy oriented drivers, citizens and society needs, providers and technology capabilities and value generation system synergies in order to deliver the transition without leaving large parts of the population behind. Smart-BEEjS covers all angles of this eco-system, to train a generation of transformative and influential champions in policy design, techno-economic planning and business model innovation in the energy and efficiency sectors, mindful of the personal and social dimensions, as well as the nexus of interrelation between stakeholders in energy generation, efficiency and management. Five objectives have been set to develop: • a practical tool that popularises the evidence based knowledge of the relationships between socio-economic factors and citizens’ practices, enabling citizens to become active promoters of PEDs; • strategies that can positively influence citizens towards sustainable behaviour patterns, which will be used to advise at city/town council level; • a methodology for systemic planning of infrastructure investments that can be recommended at city/town level in order to transition towards PEDs, by designing a systemic modelling approach combining techno-economic aspects and pathways toward the creation and sustainability of PEDs; • an evidence-based policy and incentives pathway for tackling energy injustice and poverty, by an effective design of policy implementation at PED level; • a user-based value generation tool that initiates user-centric business models and value proposition designs exploring PEDs, without the need for subsidies

Keywords: energy justice,positive energy districts,smart cities,socio economic,psychological factors,user driven business models,policy and techno economic pathways for positive energy districts
Estimation and control under limited information with application to biomedical systems (Cont4Med)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Systems and communication engineering
Panel description: Electrical, electronic, communication, optical and systems engineering
Countries involved: Germany
Call: ERC STARTING GRANTS (ERC-2020-STG, 2020)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 1497965.0
EU funding (EUR): 1497965.0
Participants: 1
Project status: SIGNED

The goal of this project is to develop estimation and control strategies for systems where only a (very) limited amount of information (measurements and models) is available. The main motivation to consider these problems are biomedical applications, where such a small amount of available information is often inherent. Examples include hormone concentration measurements when considering thyroidal diseases (which are typically only taken every few days or even weeks) or monitoring the size of a tumor. Estimating the current state of the system and devising appropriate control actions is very challenging in such applications. This is not covered by existing approaches in the literature, necessitating the development of novel methods and tools. Within this project, I will in particular focus on the following aspects. First, observability of nonlinear systems subject to few (sampled) measurements will be studied and sampling strategies together with suitable nonlinear state estimators will be derived. Second, state estimation and control strategies will be developed for situations with only partial or no model knowledge. Again, this is of intrinsic importance in biomedical applications where often the underlying physical principles are only partially understood or too complex. This necessitates the design of data- and learning-based methods, for which desired guarantees can be given, even in case of few measurements. Third, the developed tools will be extended to large-scale systems, where estimation and control has to be achieved in a distributed fashion. The successful achievement of the project goals will (i) enable estimation and control in systems with very few, sampled measurements, (ii) constitute a big step towards a holistic data-based systems and control theory, (iii) result in a new, data-driven, paradigm for the control of large-scale systems, and (iv) enable the design of systematic, personalized, and optimal control strategies in biomedical applications.

Keywords: nonlinear control and estimation,data based control and estimation,learning based control and estimation,model predictive control,moving horizon estimation,distributed control,biomedical applications
Business Innovation Support Network for the Czech Republic – Enhancing the innovation management capacities of SMEs by EEN in 2015-2016 (BISONet PLUS ENH)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: Specific Grant agreement
Countries involved: Czechia,Czechia,Czechia,Czechia
Call: Enhancing the innovation management capacity of SMEs (H2020-Adhoc-2014-20, 2014)
Start date: 2015-01-01
End date: 2016-12-31
Duration (months): 24.0
Total project cost (EUR): 319330.0
EU funding (EUR): 319330.0
Participants: 7
Project status: CLOSED

The overall aim of the project is to elaborate on experience with the preceding project “Enhancing the innovation management capacity of SME's” conducted by the Enterprise Europe Network in the Czech Republic in the second half of 2014 and to offer Czech SMEs with significant innovation activities, in particular to the beneficiaries of the SME Instrument, consecutive services in 2015-16. The activities of the project deal with the lack of quality and affordable services for SMEs in the area of innovation management in the Czech Republic and the lack of innovation management capacity in Czech SMEs. In particular, the project aims: 1) run the standardised support system for beneficiaries of the SME Instrument under Horizon 2020, and 2) identify, through the analysis of innovation management capacity of SMEs with significant innovation activities, weaknesses of the innovation management system in the SME and offer measures to their elimination. In order to meet the objectives of item 1, all the beneficiaries of the SME Instrument under Horizon 2020 will be contacted by experienced Key Account Managers upon notification from EASME. Key Account Managers will meet in person with relevant representatives of the beneficiaries in order to describe the full scope of the support offered, and ask for confirmation to proceed with the identification of growth opportunities and setting up the coaching service process, which they will mediate. In the process fulfilling the item 2, small and medium sized enterprises with significant innovation activities and a high potential for internationalisation will be identified by consortium members and their EEN partners as well as external partners. Selected SMEs will be offered comprehensive seven-day service packages, including the innovation management capacity assessment, enhancing their innovation management capacities as described in the project.

Keywords: innovation management,sme instrument,enterprise europe network
Leveraging Small Demethylase inhibitors for Autism Spectrum Disorder (LSDiASD)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Proof of concept grants
Action type: ERC actions
Countries involved: Italy
Call: ERC Proof of Concept Grant (ERC-2015-PoC, 2015)
Start date: 2016-11-01
End date: 2018-08-31
Duration (months): 22.0
Total project cost (EUR): 145250.0
EU funding (EUR): 107750.0
Participants: 2
Project status: CLOSED

Duplication of chromosome region 7q11.23 (7Dup), comprising 26-28 genes, is one of best characterized copy number variations (CNV) causing Autism Spectrum Disorder (ASD), a very prevalent neurodevelopmental condition affecting more than 1% individuals worldwide, and for which no effective treatment is available. Despite the remarkable consistency of core ASD symptoms (impairment in language and sociability along with stereotyped behaviours), over 400 causative genetic lesions have been thus far identified for ASD, splitting it de facto into an aggregate of rare and highly penetrant genetic diseases. In turn, the convergence of symptoms grounds the hope that few paradigmatic syndromes may yield generalizable therapeutic inroads across the autistic spectrum. 7Dup is a case in point since it is symmetrically opposite to Williams Syndrome, a condition caused by 7q11.23 hemideletion and featuring symmetrically opposite phenotypes in language and sociability, thus offering unique opportunities to dissect the dosage-vulnerable circuits that affect language competence and sociability. Specifically, convergent evidence points to transcription factor GTF2I as the key gene underlying the cognitive/behavioural traits of 7Dup. Within my ERC-Consolidator project DISEASEAVATARS we discovered that increased GTF2I dosage represses key genes involved in intellectual disability, autism and neuronal function by associating with lysine demethylase 1 (LSD1), a key chromatin modifier, and found that LSD1 inhibition rescues GTF2I-dependent alterations. Therefore, we now wish to establish in vivo proof of concept for the efficacy of novel LSD1 inhibitors in rescuing cognitive-behavioural deficits in relevant ASD mouse models recapitulating GTF2I CNV, developing an adequate business plan and industrial partnerships as prerequisites for advancing the most effective LSD1 inhibitor towards pre-clinical development for 7Dup and ASD more broadly.

Keywords: autism,demethylase inhibitors,sociability,7q11 23 duplication,gtf2i
Out of autoclave processes development for composite frames manufacturing with high production rate and low cost. (COFRARE 2.0)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Spain,Italy
Call: Process development for composite frames manufacturing with high production rate and low cost (H2020-CS2-CFP02-2015-01, 2015)
Start date: 2016-07-01
End date: 2018-06-30
Duration (months): 24.0
Total project cost (EUR): 482438.75
EU funding (EUR): 399769.63
Participants: 3
Project status: CLOSED

The main objective of the COFRARE 2.0 project, answering to the call for proposal launched in WP B-4.3, will be to carry out process development for composite frames manufacturing with high production rate and low cost to provide a step forward in the development of aerostructures composite component for aircrafts such as Regional ones. The project will contribute to the development and validation of an advanced process for manufacturing composite fuselage frames, which will result in a significant reduction in overall production costs, component weight and manufacturing flow. In order to understand the feasibility of the technology to match the application, LRI and RTM processes will be validated and cost assessed through the application of the building block approach, meaning starting from Level 1 coupons to advance then to Level 2 elements to finally validate at test Level 3 of subcomponents to pass at the end to the realization of two demonstrators.

Keywords: regiona,infusion,composite,building block