Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
A holistic framework for Empowering SME's capacity to increase their energy efficiency (SMEmPower Efficiency)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Theme: Reducing energy consumption and carbon foorpint by smart and sustainable use
Action type: Coordination and support actions
Countries involved: Spain,Italy,Germany,Cyprus,Slovenia,Greece,Romania,Greece,United Kingdom
Call: Capacity building programmes to support implementation of energy audits (H2020-LC-SC3-EE-2018, 2018)
Start date: 2019-09-01
End date: 2022-08-31
Duration (months): 36.0
Total project cost (EUR): 1998750.0
EU funding (EUR): 1998500.0
Participants: 11
Project status: CLOSED

The objective of the project is to “Empower” SMEs to undergo energy audits and implement their proposals. A holistic methodology has been chosen to address different barriers based on three dimensions, i.e. Individual, Organizational and Institutional. The first concerns the design and delivery of an integrated Education & Training (E&T) programme targeting energy related SME staff, of 5 ECTS/EQF 6. At least 720 experts will be trained. The E&T programme will focus on financial and technical data required to prove that specific measures are cost-effective, while the trainees will apply their acquired knowledge to at least 160 pilot installations as practical action. This is connected with the second dimension targeting SME decision makers. In-house short trainings for decision makers of grouped SMEs according to their specificities will be delivered, during the practical action in pilots, by both partners and trainees. Such short trainings will be delivered to operational personnel as well, a total of at least 800 SME persons. Finally, the third dimension relates to targeted workshops where both SME decision makers and stakeholders from entities able to finance energy projects will come together and interact based on the real data provided from pilots, aiming to bridge the gap between energy audits and actual financing of measures. In addition, 4 long lasting training tools will be developed, a) an advanced training handbook in 7 languages, b) A web platform for energy analytics, c) a tool for Monitoring & Targeting, and d) a tool for Measurement & Verification. The above activities will bring significant and validated energy savings in SMEs, and establish suitable energy culture. We estimate that SMEmPower’s actions will result in 24.87 GWh/year primary energy savings and trigger at least 4 mil € of investments. SMEmPower will involve several market actors and multiplier organizations, either as members of Advisory Group, or as participants in various activities.

Keywords: energy eudits,education and training
The role of national parliaments in the Arab transformation processes (ARAB PARLIAMENTS)

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: Belgium,United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-02-01
End date: 2019-04-03
Duration (months): 24.0
Total project cost (EUR): 160800.0
EU funding (EUR): 160800.0
Participants: 2
Project status: CLOSED

The research analyses the role of national parliaments in Egypt, Jordan, Morocco and Tunisia since 2011, and assesses their contributions to the political transformation processes. It diminishes an existing research gap since parliaments have received almost no consideration in ‘Arab Spring’ research yet. Semi-structured interviews in all four countries with local parliamentarians, academics, NGO representatives, diplomats and similar decision-makers will produce primary data that will be further discussed in workshops at academic institutions in Amman, Cairo, Rabat and Tunis as well as a conference at the University of Dundee. Peer-reviewed articles, open-access contributions and a monograph will disseminate findings to the public. The underlying hypothesis is that parliaments have influence only in policy topics that (a) do not tackle national security questions and (b) are of domestic nature. In other words, parliaments in the four selected Arab countries may be influential in less sensitive facets of the countries’ individual justice and home affairs, yet to different extent. For this, Prof. Christian Kaunert is the perfect supervisor, as he is one of the most distinguished scholars on EU justice and home affairs with strong affinities to the Arab world; the action will be connected to his newly established European Institute for Security and Justice, created within the School of Politics at UNIVDUN, and contribute not only to excellent basic research but also help increasing the institute’s visibility within the EU as well as within core countries of the EU’s southern neighbourhood. For the intended research action, the experienced researcher can already built on initial research that he has conducted in 2013 and 2014 as visiting professor at Cairo University. However, this research was just a first step into this innovative research field; with the intended action, more steps shall follow to tackle the research topic more comprehensively and in more detail.

Keywords: arab spring,parliaments,transformation,democratisation,european union
The research of spin orbit torques in perpendicular magnetic anisotropy systems. (Standard EF)

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: Physics
Countries involved: Germany
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-10-01
End date: 2018-09-30
Duration (months): 24.0
Total project cost (EUR): 159460.8
EU funding (EUR): 159460.8
Participants: 1
Project status: CLOSED

The current semiconductor devices are facing physical limitations and need a new technology to replace them. Spintronics technologies have been recently identified as the most likely technology for the next generation of non-volatile random access memory. However, current spintronic approaches based on magnetic bits made of “single domain” spin structures or “domain walls” result in limited stability and an unacceptably high level of power consumption during operation due to the high currents and current densities required for manipulating the spins by spin transfer torque. To overcome these drawbacks, a new approach to achieve a more stable spin structure and a more efficient way to manipulate them is needed. This new approach is achieved in a system of a heavy metal (nominally with strong spin orbit interactions) and magnetic layer where the inversion symmetry is broken. In systems with inversion asymmetry and with strong spin orbit coupling, an additional symmetry breaking term can occur, the Dzyaloshinskii-Moriya interaction (DMI). The DMI provides a favoring chirality of the spin structures thus gives a more stable spin stucture. However, the origin and the exact extraction of the DMI is not yet established. The new approach in the efficient manipulations of spins also require a system with spin orbit interactions. Thus, when a current is applied through the heavy metal due to the spin orbit interaction an effective spin orbit torques acts on the spin of the magnetic layer. The origin of the torques are known to be the spin Hall effect and the Rashba effect. However, the exact origins of the torques ares still in debate. In this research we will be studying the origin of the DMI and spin orbit torques. Based on the knowledge through the research the correlation between the DMI and the spin orbit torques will be revealed. Furthermore, we will to tune the DMI and spin orbit torques in order to achieve high efficient switching for memory device applications.

Keywords: spintronics,domain walls,spin orbit torques,dzyaloshinskii moriya interaction,magnetic memory devices
How to build a brain? Engineering molecular systems for mechanosensation and -protection in neurons (MechanoSystems)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Cellular, Developmental and Regenerative Biology
Panel description: Structure and function of the cell, cell-cell communication, embryogenesis, tissue differentiation, organogenesis, growth, development, evolution of development, organoids, stem cells, regeneration, therapeutic approaches
Countries involved: Spain
Call: ERC Starting Grant (ERC-2016-STG, 2016)
Start date: 2017-05-01
End date: 2023-10-31
Duration (months): 78.0
Total project cost (EUR): 1829288.0
EU funding (EUR): 1829288.0
Participants: 1
Project status: SIGNED

Mechanical forces are ubiquitous signals that provide critical and dynamic information about the environments around cells and organisms. Signals about touch, sound, and movements are transmitted to specialized mechanoreceptors but also deform the neuronal cytoskeleton of the central nervous system, particularly when strong forces are involved. Although failures to sense and cope with stresses are linked to human diseases including peripheral neuropathies and dementias, little is known about the connections between biomechanics and disease. A major reason for this gap is the technical challenge of detecting forces and deformations within a living cell or organism. Given the poor prognosis associated with neurodegenerative diseases, spinal cord injury and neuropathies, there is a strong need to develop a better understanding of neuronal mechanics. In the proposed work, we will define the changes in protein mechanics that contribute to pathological transformations in mechanosensation and mechanoprotection by developing a systems-level understanding of these processes in Caenorhabditis elegans. My lab will exploit our expertise in force application using microfluidic devices and state-of-the-art imaging to visualize mechanical forces in live cells during mechanosensation (Aim 1). We will integrate our observations with mathematical modeling to yield insight into how changes in material properties influence cell shape and physiology during aging of an organism (Aim 2). Over the long term, we will develop new strategies to limit mechanical damage in aging neurons using small protein chaperones and design a prosthetic optogenetic synaptic-transmission system to maintain neuronal signaling in diseased conditions (Aim 3). Broadly, I envision that the knowledge and tools designed in this work will pave the way for the development of future therapies to treat currently intractable diseases that involve changes in nerve-cell function on the molecular and systems levels.

Keywords: cytoskeleton,mechanobiology,mechanosensation,c elegans,fret
Tracking the temporal and geographic origins of modern domestic horses (EARLYRIDERS)

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: France
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-11-01
End date: 2021-01-02
Duration (months): 24.0
Total project cost (EUR): 173076.0
EU funding (EUR): 173076.0
Participants: 1
Project status: CLOSED

The goal of the EARLYRIDERS project is to identify the geographic and temporal locus of modern horse domestication. It also focuses on the interplay between domestication and the increase of pathogen load in horses, and the role of epizootic transfer of human pathogens, especially plague. Horse domestication represents a turning point in human history, revolutionizing transport, trade, warfare, agriculture, and allowing humans to form larger, interconnected societies. Despite its importance for human history, this process remains poorly understood. Recent genome sequencing shows that the earliest archaeological remains of domestic horses are not the ancestors of modern domestic horses and that another, still unknown, wave of domestication forged the modern horse during the Early Bronze Age. Horse riding also allowed a rapid spread of diseases. For instance, the plague, that regularly haunted human populations in history, has been already commonly found in human remains dating to the Early Bronze Age. As the gene essential for the transmission through fleas was absent in these ancient strains, the plague might have been transmitted through other, still unknown vectors. This represents a serious gap in understanding of the early epidemiology of this important disease. As the spread of plague appears to be concurrent to horse domestication, the question remains whether the horse accounted for its spread, either as a vector or passively, by contagious riders. We aim at identifying the source of the second domestication wave and pathogen load in ancient horse populations by sequencing 300+ samples originating from all potential centers of domestication. Full genome sequencing is not possible due to low endogenous DNA content, therefore the samples will be subjected to sequence enrichment techniques, including the novel hyRAD method developed by the experienced researcher, scalable to thousands of loci in hundreds of samples at moderate cost.

Keywords: ancient dna,horse domestication,horse genomics,next generation sequencing,phylogenomics,plague origin,zoonoses
Non-Linear Bayesian partition-modeling of the Earth's mantle transition zone (NoLiMit)

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: Australia,France
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-09-01
End date: 2021-08-31
Duration (months): 36.0
Total project cost (EUR): 270918.0
EU funding (EUR): 270918.0
Participants: 2
Project status: CLOSED

The Earth’s mantle transition zone (TZ) is a complex region exhibiting mineralogical phase changes as revealed by sharp increases of seismic wave-speed near 410 and 660 km depth. The TZ is a key region for understanding how efficient is mantle convection to recycle chemical heterogeneities. Attempts to isolate the effects of temperature and composition on elastic properties have faced several issues. First, due to the imperfect seismic data coverage, the scales of thermal and chemical heterogeneities remain poorly constrained. Second, seismic and mineral-physics data suffer from large uncertainties, and the relation between seismic observables and in situ thermo-chemical parameters remains questionable. To overcome these limitations, this project will use a partitioning (multi-scale) approach to isolate the effects of mantle temperature and composition from comprehensive seismic databases. Using a Bayesian probabilistic framework, the experienced researcher (ER) will simulate the multi-scale physical properties of the TZ, confront the results with high-pressure mineral physics experiments and with predictions from mantle convective mixing models. The interdisciplinary approach of this project relies on using state-of-the-art numerical methods and high performance computing to answer fundamental questions in Earth Sciences. The uniqueness of the approach arises from quantifying in a probabilistic sense how conceptual mantle-mixing models fit seismic data. The skills developed during this project will re-enforce the competitiveness of both institutions to build seismic models, and to study the Earth’s deep interior. The expected researcher outcome is the re-enforcement of his research network; the benefit of a new environment to efficiently prepare articles and professorship applications; and through appropriate training, the capability of developing a research group. Continued international collaboration will be of enduring value for research and student formation.

Keywords: seismic imaging,inverse methods,bayesian inference,high pressure mineral physics
Patient-centred pathways of early palliative care, supportive ecosystems and appraisal standard (INADVANCE)

Framework: Horizon 2020 — Societal Challenges
Programme: Health, demographic change and wellbeing
Theme: Treating and managing disease
Action type: Research and Innovation actions
Countries involved: Spain,Spain,Italy,Belgium,Greece,France,Netherlands,United Kingdom,Portugal,United Kingdom
Call: Novel patient-centred approaches for survivorship, palliation and/or end-of-life care (H2020-SC1-2018-Single-Stage-RTD, 2018)
Start date: 2019-01-01
End date: 2023-06-30
Duration (months): 54.0
Total project cost (EUR): 4017970.0
EU funding (EUR): 4017970.0
Participants: 13
Project status: SIGNED

Due to the increased incidence, prevalence and mortality of chronic diseases and multimorbidity, the need of palliative care (PC) resources is a challenge for health and social care systems. However, currently, access to PC remains inconsistent and, due to the ageing population, it is expected an increase in the rate of people requiring this kind of care over the next 25 years. The project Patient-centred pathways of early palliative care, supportive ecosystems and appraisal standard (INADVANCE) proposes a novel model of PC based on early integration and personalized pathways addressed specifically to older people with complex chronic conditions. Thus, the overall aim of INADVANCE is to improve the benefit of PC through the design of effective, replicable and cost-effective early PC interventions centred-on and oriented-by the patients. Interventions are defined for/orientated on patients, families, informal caregivers, and front-line care professionals. In order to achieve this main goal, INADVANCE will produce the following evidence-based outputs to assist care professionals, service managers and policy and decision-makers in their scalability and replicability: a) stratification tools to identify potential beneficiaries of early PC actions; b) optimized interventions co-designed by needs and preferences from patients and their relatives; c) eHealth tools addressed to empower palliative patients ecosystem; d) policy recommendations and clinical guidelines addressed to service providers and policy and decision makers; e) an appraisal standard and dashboard facilitating a critical and comprehensive comparison between actions and interventions derived from the project. The INADVANCE consortium brings together leading interdisciplinary academic, clinical and technological partners from EU organizations actively responding challenges from health and social care systems and policy-makers in the field.

Keywords: palliative care,complex chronic conditions,older people,early identification,patient centred care,replicability
A.I. enabled knowledge analysis automation to increase resilience, security and performance of Enterprise ICT systems. (RAIKA)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Czechia,Netherlands,United Kingdom
Call: SME instrument (H2020-SMEInst-2018-2020-2, 2019)
Start date: 2019-10-01
End date: 2022-01-31
Duration (months): 28.0
Total project cost (EUR): 2713220.0
EU funding (EUR): 1899254.0
Participants: 3
Project status: CLOSED

90% of all issues affecting ICT infrastructures are known and documented issues , that could have been avoided, but still outages happen. Many aspects of our everyday life rely on ICT systems and the trend shows it will increase to the point where we will soon fully depend on them. When technical issues cause interruptions to these services, the results can be dramatic. Imagine the chaotic and even life-threatening effects of outages in airport flight control systems, life support systems in hospitals, banks, railway management systems. Every ICT solution vendor maintains their own Knowledge base where these issues are documented in human readable format. These sources of information are used by System Administrators and Engineers maintaining and supporting the ICT environments to help them troubleshoot and resolve the issues. Unfortunately, this vast information database is only used reactively. Runecast has been at the forefront of developing Runecast Analyzer technology for over 3 years. During these 3 years we have built a world class development team based in the Czech Republic that has developed cutting edge, patent pending, technology. Runecast’s flagship product, Runecast Analyzer, has been leveraging manual translation of the existing knowledge base records into computer readable records to prevent issues on thousands of virtual environments running VMware platform ever since its release in October 2015. RAIKA, our disruptive solution is designed to proactively scan ICT systems to identify all known issues that can be prevented within that system. It does so by gathering and parsing information from public knowledge bases, then using Artificial Intelligence (AI) and human expertise to translate it to machine usable data. This data is then used to analyze configuration and logs on the ICT environment. The result is the ability to identify known technical issues and problematic patterns before they cause service interruptions.

Keywords: virtualization,knowledge analysis automation,natural language processing,natural language,understanding