Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Development ecosystem intended for engineers and researchers looking to invent, build, verify, evaluate, and release application-tailored storage systems faster and more reliably (Ether)

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: Information Science and Engineering
Countries involved: Greece
Call: Individual Fellowships (H2020-MSCA-IF-2019, 2019)
Start date: 2020-05-01
End date: 2022-04-30
Duration (months): 24.0
Total project cost (EUR): 153085.44
EU funding (EUR): 153085.44
Participants: 1
Project status: CLOSED

In an era that Internet of Things (IoT) applications are getting increasingly dynamic and mobile, the Achilles heel of such efforts remains the management of the application state (e.g., consistency, availability, performance, fault tolerance). For stateless applications, functionalities like load balancing (active-active), failover (active-passive), and job continuity (roaming) are easily addressable at the network level. For stateful applications though, the developers must provision a clustered data layer for managing the ever-growing collections of geographically spread data. This layer needs to provide geo-transparent data access, integrate well with the interplay of backend services, and be tailored (described by structure and purpose and expressed in functionality) to the specific application requirements. Over the last few years, research efforts are mainly focused on security, privacy, confidentiality, energy efficiency, and reliability of storage systems. An important aspect that has not been thoroughly investigated yet is programmability. To keep pace with the increasing birthday of new application models it is essential to pass the technological barrier of 'programming storage systems' and enter the age of 'composing storage systems'. So far, no competent solution has been proposed either by industry or academia. Herein, we propose an open-source development ecosystem intended for engineers and researchers looking to invent, build, verify, evaluate, and release storage systems, tailored on a per-application basis. The ecosystem, called Ether, consists of i) the virtualized storage platform for managing application state whose data are spread across heterogeneous services provided by third-party vendors ii) the virtualization framework for specifying the control flows and the data management of the platform, as hierarchies of virtual functions iii) and the community hub for sharing virtual functions, platform configurations, or best practises.

Keywords: pass the technological barrier of storage system programming and enter the age of automated storage system composition with minimal or no human intervention
AutoTuning and Adaptivity appRoach for Energy efficient eXascale HPC systems (ANTAREX)

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: Italy,Italy,Switzerland,Slovakia,France,France,Czechia,Portugal
Call: HPC Core Technologies, Programming Environments and Algorithms for Extreme Parallelism and Extreme Data Applications (H2020-FETHPC-2014, 2014)
Start date: 2015-09-01
End date: 2018-11-30
Duration (months): 39.0
Total project cost (EUR): 3115251.25
EU funding (EUR): 3115251.0
Participants: 9
Project status: CLOSED

Energy-efficient heterogeneous supercomputing architectures need to be coupled with a radically new software stack capable of exploiting the benefits offered by the heterogeneity at all the different levels (supercomputer, job, node) to meet the scalability and energy efficiency required by Exascale supercomputers. ANTAREX will solve these challenging problems by proposing a disruptive holistic approach spanning all the decision layers composing the supercomputer software stack and exploiting effectively the full system capabilities (including heterogeneity and energy management). The main goal of the ANTAREX project is to provide a breakthrough approach to express application self-adaptivity at design-time and to runtime manage and autotune applications for green and heterogenous High Performance Computing (HPC) systems up to the Exascale level.

Keywords: programming methodologies,self adaptive systems,domain specific languages and tools,compilers,heterogeneous systems,runtime management
Molecular architecture of heteromeric kainate receptor complexes (KARhet)

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: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-06-18
End date: 2020-06-17
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 2
Project status: CLOSED

Kainate receptors (KARs) are glutamate-gated ion channels (iGluRs) known as neuronal circuit modulators. Because of their involvement in epilepsy and mood disorders, they represent an important pharmacological target. Over the past decade, we have learned a lot about synaptic KARs, but their assembly, function and pharmacology remain elusive compared to the closely-related alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR). During my PhD, I used electrophysiology to study the functional properties of KARs and AMPARs associated with auxiliary proteins to gain insights into their roles at neuronal synapses. In the proposed research project, I plan to use structural methods such as X-ray crystallography and single-particle cryo-electron microscopy and tomography to address the questions brought by my PhD thesis work. Specifically, I will combine the functional knowledge and skills that I have acquired with the structural expertise of the host laboratory to inquire about the structural assembly of synaptic KARs and especially the interactions between the different KAR subunits and their synaptic binding partners. Combined with the functional analysis of these interactions, this work will provide valuable information for a deeper understanding of synaptic complexes at the molecular level.

Keywords: synapse,ligand gated ion channel,glutamate receptor
Behavioural, Ecological and Socio-economic Tools for Modelling Agricultural Policy (BESTMAP)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Sustainable agriculture and forestry
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Germany,Germany,Germany,Belgium,Switzerland,Serbia,Bulgaria,Czechia,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Analytical tools and models to support policies related to agriculture and food (H2020-RUR-2018-2, 2018)
Start date: 2019-09-01
End date: 2024-02-29
Duration (months): 54.0
Total project cost (EUR): 3995811.25
EU funding (EUR): 3995811.25
Participants: 15
Project status: SIGNED

Nearly 50% of the European Union (EU) land area is agricultural. However, the ecosystem services (ESS) provided by these agro-ecosystems – including food, bioenergy, water, carbon storage and biodiversity – are threatened by processes such as land-use intensification and changing climate. European, national and regional policy makers must hence rethink and redesign rural policy to enhance the sustainability of agricultural landscapes while ensuring farmers’ livelihoods at the same time. However, the policy impact assessment models currently used by the European Commission (EC) ignore the complexity of farmers’ decision making, potentially leading to incorrect predictions of policy outcomes. Furthermore, existing models focus on narrow aspects of agricultural economics (e.g. income), ignoring policy impacts on rural natural, social and cultural assets. BESTMAP will develop a new modelling framework using insights from behavioural theory, linking existing economic modelling with individual-farm Agent-Based Models. Using these new modular and customizable tools BESTMAP will quantitatively model, map and monitor co-designed policy scenarios’ impacts on the environment, climate system, delivery of ESS, as well as socio-economic metrics (e.g. jobs). BESTMAP outputs will improve and contribute to existing tools used by the EC such as the Modular Applied GeNeral Equilibrium Tool (MAGNET) and Common Agricultural Policy Regionalised Impact model (CAPRI). Finally, BESTMAP will use a range of external communication and dissemination methods, including online policy dashboard, workshops and training, to help build capacity for EC staff and policy makers at EU institutions, national, regional and local decision makers and expert personnel, as well as other researchers.

Keywords: behavioral change theory,ecosystem services,agricultural economics,rural policy impact assessment,agent based modelling,biophysical modelling,farming systems archetypes
RESilience management guidelines and Operationalization appLied to Urban Transport Environment (RESOLUTE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Action type: Research and Innovation actions
Countries involved: Italy,Italy,Germany,Italy,Greece,Greece,France,Portugal
Call: Crisis management topic 7: Crises and disaster resilience – operationalizing resilience concepts (H2020-DRS-2014, 2014)
Start date: 2015-05-01
End date: 2018-04-30
Duration (months): 36.0
Total project cost (EUR): 3848581.25
EU funding (EUR): 3848581.0
Participants: 12
Project status: CLOSED

Increasing Europe’s resilience to crises and disasters is a topic of highest political concern in the EU and its Member States and Associated Countries. Regarding the specific case of transport systems, it can be said that those have developed a prominent safety and business critical nature, in view of which current management practices have shown evidence of important limitations in terms of resilience management. Furthermore, enhancing resilience in transport systems is considered imperative for two main reasons: such systems provide critical support to every socio-economic activity and are currently themselves one of the most important economic sectors and secondly, the paths that convey people, goods and information, are the same through which risks are propagated. RESOLUTE is answering those needs, by proposing to conduct a systematic review and assessment of the state of the art of the resilience assessment and management concepts, as a basis for the deployment of an European Resilience Management Guide (ERMG), taking into account that resilience is not about the performance of individual system elements but rather the emerging behaviour associated to intra and inter system interactions. The final goal of RESOLUTE is to adapt and adopt the identified concepts and methods from the defined guidelines for their operationalization and evaluation when addressing Critical Infrastructure (CI) of the Urban Transport System (UTS), through the implementation of the RESOLUTE Collaborative Resilience Assessment and Management Support System (CRAMSS), that adopts a highly synergic approach towards the definition of a resilience model for the next-generation of collaborative emergency services and decision making process.

Keywords: urban transport system,european resilience management guidelines
GNSS/INS Low-Cost Attitude Determination System (GLAD)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Action type: SME instrument
Countries involved: Spain
Call: SME Instrument (H2020-SMEINST-1-2014, 2014)
Start date: 2014-10-01
End date: 2015-03-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The objective of GLAD Phase 1 is the study of the commercial feasibility of a low-cost attitude determination and navigation system based on non-dedicated mass market GNSS receivers and antennas aided by MEMS sensors. The fusion of GNSS and inertial data takes advantage of the complementarity of these two technologies to achieve accurate and reliable navigation: inertial sensors provide excellent dynamic response at very high data rates, while GNSS serves as an absolute reference to prevent the drift inherent to the numerical integration of acceleration to calculate velocity and position. In addition, differential GNSS carrier-phase measurements can be used to obtain extremely accurate orientation by using a multi-antenna configuration. This novel navigation system brings the advantages of multi-antenna GNSS systems to applications where these would not be usable otherwise by proposing a cost-effective implementation with competitive performance, size and power, relying on non-dedicated receivers and compensated inexpensive sensors. The technical feasibility of this approach has already been successfully proven with the fabrication and test of a complete low-cost hardware prototype in a previous R&D project funded by the FP7 programme. The accuracy of the navigation solution using novel algorithms was demonstrated integrating data recorded with this hardware platform, while the computational complexity of a real-time implementation of said algorithms was shown to be suitable for the targeted embedded microcontroller. A preliminary study of its commercial feasibility was already drafted within this project as well; the objective of this proposal is now to perform a proper commercial feasibility analysis and business plan to guide the path from the prototype demonstrator to mass production of a fully-capable navigation system making use of GPS, Galileo and EGNOS.

Keywords: gnss,attitude,navigation,low cost
Multidisciplinary Institute of Ageing - Portugal (MIA-Portugal)

Framework: Horizon 2020 — Spreading excellence and widening participation
Programme: Widening participation and spreading excellence
Theme: Improved access to Excellence
Action type: Coordination and support actions
Countries involved: Netherlands,United Kingdom,Portugal
Call: Teaming Phase 2 (H2020-WIDESPREAD-2018-01, 2018)
Start date: 2020-01-01
End date: 2026-12-31
Duration (months): 84.0
Total project cost (EUR): 15043051.25
EU funding (EUR): 15000000.0
Participants: 5
Project status: SIGNED

The present Teaming second phase application will create the first Centre of Excellence in Ageing Research in Southern Europe and in a R&D low-performing EU member state, to reduce disparities and to bridge the gap between fundamental research and its translation into human intervention. The new Centre of Excellence, the Multidisciplinary Institute of Ageing (MIA-Portugal), will be a new Strategic Research Institute with the University of Coimbra as the core scientific element of a new living laboratory, Ageing@Coimbra’. The overall objective of the new Centre of Excellence is to improve health and wellbeing of an ageing population and benefit from excellence science and innovation potential to deliver business opportunities. Based on an international forefront position in Biology of Ageing, it will create knowledge to promote healthy living, develop, validate and deliver interventions that improve human healthy life expectancy, with a specific focus on those members of both genders of the population with the lowest healthy life expectancy, and promote innovation transfer into practices and services. This will contribute to reduce the socioeconomic burden of chronic diseases and inadequate ageing of population and will foster functional independence, stimulate the economy and raise new high-qualified jobs. MIA-Portugal will be a stepping-stone and sustainable flagship project of the Centro Region of Portugal. The direct investment of MIA-Portugal mounts to >50 million euros. MIA-Portugal is a teaming partnership between the University of Coimbra (UC) (partner in a low R&D-performing country) and the University of Newcastle (UNEW) plus the University Medical Center Groningen (UMCG) (partners in high R&D-performing countries), with strong support from a Technology Park (IPN) and the Regional Authority CCDRC, and synergies with EIT Health Knowledge and Innovation Communities and the European Innovation Partnership on Active and Healthy Ageing Reference Sites.

Keywords: centre of excellence,ageing research,molecular epidemiology,multidisciplinary,health and wellbeing,healthy living and active ageing,research and innovation
Hack your Diabetes Experience (SocialDiabetes)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Active ageing and self-management of health
Action type: SME instrument
Countries involved: Spain
Call: Accelerating market introduction of ICT solutions for Health, Well-Being and Ageing Well (H2020-SMEINST-2-2016-2017, 2017)
Start date: 2017-07-01
End date: 2019-06-30
Duration (months): 24.0
Total project cost (EUR): 2317145.5
EU funding (EUR): 1622001.85
Participants: 1
Project status: CLOSED

The direct annual cost of diabetes is more than €736 billion, with 15% accounting for antidiabetic drugs, 24% for other pharmaceutical compounds and 61% for primary care and hospitalisations. But the social impact is also huge, with 51% of patients experimenting emotional anxiety, 17% having depression episodes and 19% feeling discriminated because of the condition. Control of glucose in blood (combining diet, physical activity and medication if necessary), control of blood pressure and lipids, and regular screening for damage to the eyes, kidneys and feet, are cost-effective interventions in diabetes management. 1% reduction of HbA1c levels reduces heart attacks by 14%, microvascular complications by 37% and diabetes-related deaths by 21%. SocialDiabetes is a mHealth solution that can reduce HbA1c levels to normal values (6.4%) in 6 months of continuous use. It is based in a set of proprietary algorithms integrated in a mobile application and a web platform where patients can log data (glucose measurements, food intake, insulin administration, exercise) and doctors can monitor the disease. The app also calculates insulin doses, which is a unique feature compared to similar apps, and offers integration with glucose meters from major providers. Currently the solution is being exploited through a B2C model, with a free and a premium subscription plans. The aim of the project is to implement a B2B model catching the attention of major healthcare providers and stakeholders (public and private hospitals, governments, insurers) so they would adopt SocialDiabetes as the standard tool for disease management. The business opportunity lies in the benefits for the health of patients and ultimately in the reduction of costs for the whole system. Product and business development strategic plans have been designed accordingly.

Keywords: diabetes,telemedicine,ehealth,mhealth
In-situ spatiotemporal imaging of membrane hydration, electrostatics, tension and curvature to understand cell response to osmotic shocks and cell migration. (R2-TENSION)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Synergy grants
Action type: ERC actions
Countries involved: Switzerland,Switzerland
Call: ERC Synergy Grant (ERC-2020-SyG, 2020)
Start date: 2021-11-01
End date: 2027-10-31
Duration (months): 72.0
Total project cost (EUR): 4947465.0
EU funding (EUR): 4947465.0
Participants: 2
Project status: SIGNED

Lipid membranes compartmentalize and protect cells from the environment, and selectively permit transport. This functionality derives from unique membrane properties: 5 nm thick, yet fluid, deformable, resistant to stress and chemically complex. The physicochemical properties of membranes are expected to have a major impact on cell life, but the tools to measure the relevant multiscale and dynamic parameters in-vitro and, more importantly, in-vivo membranes are lacking. An essential property of membranes, their hydration and charge state, both needed for membrane integrity and playing a vital role in cell survival is not understood beyond the level of continuum theory. To enable quantitative physics, and physical chemistry for biology Roux and Roke, R^2, will join their expertise on molecular biology & biophysics and physics & interfacial chemistry & optics to create tools to measure membrane water and ion fluxes, and image 3D fields of electrostatic free energy, membrane tension and curvature. We will understand how molecular factors, such as the influence of the aqueous phase and interfacial electrostatics, are coupled to tension and curvature under dynamic conditions such as osmosis in artificial and cellular membranes. Obtaining the first temporally resolved, 3D maps of hydration, free energy, tension and curvature at the nanoscale in migrating cells and cells experiencing osmotic shocks we will quantify membrane physical parameters in two processes essential for cell survival, for which currently no data is available: Osmotic shock response and cell migration. Osmotic shock response plays an important role in infections, kidney and intestine function. Cell migration is essential to many cell processes, for example the spreading of cancer, wound repair and the immunological response, as well as food search in unicellular organisms.

Keywords: water,nonlinear optics,membranes,free energy,osmosis,osmotic shock response,cell migration
Long Autonomy E-bike through enhanced Regenerative Braking (LONGRIDER)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-09-01
End date: 2018-12-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

The e-bike industry is a blooming market since it provides a solid alternative for cleaner, more sustainable urban mobility. Annual e-bike sales are in the order of 3,400 M€ in Europe only and are expected to rise up to 7, 200 M€ by 2025. However, there is still an unsolved and recurrent complaint related to the limited autonomy of e-bikes. LONGRIDER is a novel control system for e-bikes that provides extended battery autonomy by supporting the cyclist only when necessary and by applying extensive and efficient regenerative braking. By cleverly controlling the energy use (deliver and recover), the feeling for the cyclist is that of continuously riding on flat terrain irrespective of the terrain slope, and in the limit case it is even possible to make the battery last close-to-indefinitely (provided that the user is willing to compensate the system inefficiencies by pedaling). Thus, the value proposition of the LONGRIDER e-bike can be formulated in 2 ways: -An e-bike with the same battery size as competitors that can last significantly more (up to 200% more with mild regenerative braking, and above that with a more intensive regeneration set-up) -An e-bike with a smaller battery size than competitors for the same autonomy (LONGRIDER requires a battery-pack 60-70% smaller with the associated cost and weight reduction) The development of this new concept is being carried out by a team that has extensive experience in the electric mobility industry developing next generation motors for electric vehicles, as well as a solid background in bicycles with over 10 patents related to innovative concepts for bicycles, some of them under licensing discussions with major brands in the bicycle industry (Sram, Campagnolo and FSA). ZUMA is currently working on patenting the LONGRIDER-related developments to secure a leading market position.

Keywords: e bike