Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Advanced Carbon Materials from Biowaste: Sustainable Pathways to Drive Innovative Green Technologies (GreenCarbon)

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: Information Science and Engineering
Countries involved: Germany,Germany,Germany,Germany,Spain,Belgium,Sweden,Sweden,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2016, 2016)
Start date: 2016-10-01
End date: 2021-03-31
Duration (months): 54.0
Total project cost (EUR): 3623224.47
EU funding (EUR): 3623224.47
Participants: 15
Project status: CLOSED

The energy crisis, environmental pollution and global warming are serious problems that are of great concern throughout the world. Around 40% of the world’s energy consumption is dedicated to the production of materials and chemicals. Thus, there is a need to develop high-performance materials based on renewable resources, simpler to synthesise and cost effective. Carbon materials derived from renewable resources (e.g., biomass) are ideal candidates to meet these needs. The main objective of our proposed Innovative Training Network is to develop new scientific knowledge, capability, technology, and commercial products for biomass-derived carbons (BCs); thus impacting the way that Europe uses and innovates with sustainable carbon materials. This will be accomplished through outstanding research and training programmes for fourteen early-stage researchers (ESRs). Our proposed research programme is feasible given the varied expertise and knowledge of the academic and industrial participants. We expect that GreenCarbon will improve our ability to rationally design a range of functionalised BC-derived materials using different individual and synergistically coupled processes and expand their practical applications. Our research programme comprehensively covers all aspects from precursors (the nature of biomass) to processing (thermochemical conversion, porosity development, chemical functionalisation) and application (e.g., CO2 capture, heterogeneous catalysis and chemicals from biomass) enabling a unique design of engineered sustainable BC materials. At the same time, our training programme is designed with the aim to empower the ESRs through the provision of a comprehensive and coherent training package, which includes complementary competencies and knowledge in all the science, engineering and business skills so as to be capable of deploying new technologies within different environments both inside and outside of academia.

Keywords: biomass,carbon materials,pyrolysis,hydrothermal carbonisation,biochar,co2 capture and sequestration,heterogeneous catalysis,pollutants adsorption,hydrogen production
Rf Engineered substrates to FostER fEm performaNCE (REFERENCE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Public-private partnerships
Destination: Electronic Components and Systems
Action type: Research and Innovation actions
Partnership: ECSEL (Art-187)
Countries involved: Germany,Germany,Germany,Germany,Ireland,Belgium,France,France,France,France,France,Portugal
Call: Smart Mobility (H2020-ECSEL-2015-1-RIA-two-stage, 2015)
Start date: 2015-12-01
End date: 2019-11-30
Duration (months): 48.0
Total project cost (EUR): 33065895.0
EU funding (EUR): 10028062.32
Participants: 17
Project status: CLOSED

The REFERENCE project aims to leverage a European leading edge Radio Frequency (RF) ecosystem based on RF Silicon On Insulator (SOI) disruptive technology, perceived as the most promising to address performance, cost and integration needs for RF Front End Modules (FEMs)s. The project targets to develop over the next 3 years, innovative solutions from material, engineered substrates, process, design, metrology to system integration capable to address the unresolved 4G+ requirements for RF FEMs (data rate >1Gb/s) and pave the way to 5G. The R&D and demonstration actions include: • Development of innovative RFSOI substrates for 4G+ / 5G • Move to 300 mm diameter • Development of 4G+ / 5G RF-SOI devices with 2 major European foundries : analog in 200 mm 130nm technology, RF digital by combining RFSOI and FDSOI in 300 mm at 22nm; • Innovative design for 4G+ /5G (analog and RF digital), • Integration of several 4G+ FEM components on the same chip and demonstration System in Package Technology (SiP). 3 applications are investigated : • Cellular / Iot : 4G+ RFSOI FEM demonstrator at SiP device level • Automotive : 4G+ RF-SOI demonstrator at SiP device level • Aviation: RF-SOI high data rate wireless communication module at system level; targeting a new frequency band for aeronautic. The project is executed within 5 European countries, by on a strong and complementary and well balanced consortium, 6 large industrial companies (world leaders in material, foundries, aeronautics), 4 SMEs and a network of world class level and major European public research institutes and academics. It clearly aims to develop industrial solutions enabling European leadership and production. Through this technology disruption, REFERENCE project addresses major thrusts for smart mobility, smart society, semiconductor processes, equipments, design technology and smart systems implementation, and support the societal challenges of smart transport, as well as secure and innovative society.

Keywords: soi rf
Realizing the political rights of persons with disabilities (PODI)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2016, 2016)
Start date: 2017-09-01
End date: 2018-08-31
Duration (months): 12.0
Total project cost (EUR): 97727.4
EU funding (EUR): 97727.4
Participants: 1
Project status: CLOSED

Taking as its point of departure the adoption of the UN Convention on the rights of persons with disabilities the fellowship – Realizing the political rights of persons with disabilities (PODI) – examines under which conditions disabled people’s organisations are most likely to achieve voice and influence on decision-making processes of importance for their own lives and for society as a whole. The United Nations Convention on the Rights of Persons with Disabilities requires state parties, and the EU, to ‘closely consult with and actively involve persons with disabilities’, notably ‘through their representative organizations’. Enhancement of opportunities for disabled people’s organisations to fully participate in policy process will assist the EU in furthering its wider ambitions to engage civil society, and to fulfil its international treaty obligations to the UN on disability rights. The fellowship –will produce new knowledge to help make this a reality. It will launch the first cross-national and multilevel study of disability movements in Europe, beginning with in-depth data from four European countries (Germany, Italy, Norway and UK), and from EU and UN institutions. PODI will collect and analyse data on individual and organisational level as well as at national, EU and international level. PODI will identify implementation facilitators and barriers and make proposals for indicators to aid the EU and the Member States in monitoring their fulfilment of the UNCRPD (Articles 4.3, 29 & 33). A European centre of excellence (the Centre for Disability Studies at the University of Leeds, UK) will collaborate with an experienced researcher (Dr Rune Halvorsen, Norway) and civil society organisations of persons with disabilities (via the European Disability Forum) for intersectoral knowledge transfer, career development, and European added value.

Keywords: citizenship,disability,social movement,political participation,globalization
Domain Specific Systems for Information Extraction and Retrieval (DoSSIER)

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: Information Science and Engineering
Countries involved: Italy,Austria,Austria,Greece,Netherlands,Netherlands,United Kingdom,United Kingdom
Call: Innovative Training Networks (H2020-MSCA-ITN-2019, 2019)
Start date: 2019-11-01
End date: 2024-04-30
Duration (months): 54.0
Total project cost (EUR): 4132860.84
EU funding (EUR): 4132860.84
Participants: 8
Project status: SIGNED

DoSSIER (Domain Specific Systems for Information Extraction and Retrieval) will elucidate, model, and address the different information needs of professional users. It mobilizes an excellent and highly synergistic team of world-leading Information Retrieval (IR) experts from 5 EU States who, together with 3 academic partners (universities in US, Japan, and Australia), and 11 industrial partners (dynamic SMEs and large corporations) will produce fundamental insights into how users comprehend, formulate, and access information in professional environments. For this, DoSSIER takes a highly innovative intersectorial and multidisciplinary approach, addresses fundamental questions about the nature and representation of information needs, engages in novel qualitative and quantitative evaluation, and provides training towards a structured, rigorous, and practical approach to search systems. It connects premier universities and outstanding industrial partners to provide unique opportunities to young researchers. The research is structured in three areas: 1. fundamental models of users and domain specificity, 2. contextual and personalized search, and 3. workflow, task and the interface. Each area individually and in cross-field fertilisation, will produce breakthroughs in our understanding of computer-supported human information search workflows. The result will be a new generation of information access systems, which will accelerate innovation cycles in EU academia and industry, as well as in society as a whole. To be both concrete and generic, DoSSIER consists of 8 projects identifying a target domain and 7 projects acting horizontally across domains. Three vital domains are used: science & technology innovation, law, and healthcare. Questions currently unanswerable (e.g. What is the key innovation difference between these two patents?) will be answerable either directly by a system, or by the development of cognition-enhancing instruments for interacting with information.

Keywords: information retrieval,professional search,context,task,user,models
Computational catalog of multiscale materials: a plugin library for industrial finite element codes (CATALOG)

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: Spain
Call: ERC-Proof of Concept (ERC-2017-PoC, 2017)
Start date: 2018-01-01
End date: 2019-06-30
Duration (months): 18.0
Total project cost (EUR): 149991.0
EU funding (EUR): 149991.0
Participants: 1
Project status: CLOSED

The Proof of Concept CATALOG will explore the industrial applicability and potential for commercialization of a prototype of a “computational multiscale material catalog”, to exploit HPROM (high‐performance reduced order modeling), a technology developed in the ERC Advanced Grant COMP-DES-MAT for advanced material simulation. CATALOG will provide extremely fast and accurate multiscale capabilities to existing commercial Finite Element Analysis Solvers (FEAS), greatly enhancing their standard simulation performance. This solution effectively addresses the current need for high-performance simulations, currently not provided by established multiscale approaches. The efficient and accurate material multiscale simulation technology HPROM —core technology behind CATALOG— is capable of outperforming state-of-the-art solutions by 1000x in computational cost at same precision. This software will provide the user with a rich selection of validated multiscale material models, and customizable accuracy-speedup, at unprecedented performance. CATALOG will be the first product able to fulfill the industrial requirement for time, accuracy and offer of models, enabling a new set of routine analysis in currently available FEAS. Presented as a plugin—noninvasive and adaptable to most popular commercial FEAS tools—the computational techniques used in CATALOG will be welcomed by the manufacturing sectors that heavily depend on detailed material simulations for design and analysis of new materials and optimization of production processes.

Keywords: computational multiscale material catalog,multiscale modeling of materials,plugin software libraries,high performance reduced order modeling hprom
A Genealogy of Islamic Religious Leadership in Post-Ottoman States (GIRLPOS)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Reintegration panel
Action type: Marie Skłodowska-Curie actions
Panel: Social Sciences and Humanities
Countries involved: United Kingdom
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-08-01
End date: 2020-07-31
Duration (months): 24.0
Total project cost (EUR): 195454.8
EU funding (EUR): 195454.8
Participants: 1
Project status: CLOSED

A Genealogy of Islamic Religious Leadership in Post-Ottoman States (GIRLPOS) This project will produce the first history of the 'Grand Mufti' as a modern model of Islamic religious leadership. This title emerged in several Arab states in the process of post-Ottoman nation-building, and represents a common trend toward the articulation of ‘religion’ as a social category distinct from the implicitly ‘non-religious’. Ottoman muftis had been legal scholars serving the courts and society at large, and muftis have been studied ever since through a classical lens of scholarly knowledge production. Yet the creation of new offices of ‘Grand Mufti’ in successor states has radically reformulated their function. For the first time in Islamic history, Middle Eastern states have generated centralised religious hierarchies in which a Grand Mufti administers a professionalised ‘clergy’ and a nationwide network of mosques, schools, cemeteries and other properties defined as religious. My contribution will be a genealogy of this contemporary model of Islamic religious leadership, using it as a lens through which to analyse changing discourses around ‘religion’ in modern Islam.

Keywords: islamic studies,critical studies of religion,religious leadership
ARTificial Intelligence for Seasonal forecast of Temperature extremes (ARTIST)

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: Spain
Call: Individual Fellowships (H2020-MSCA-IF-2020, 2020)
Start date: 2022-04-01
End date: 2024-03-31
Duration (months): 24.0
Total project cost (EUR): 172932.48
EU funding (EUR): 172932.48
Participants: 1
Project status: SIGNED

Seasonal Forecasts are critical tools for early-warning decision support systems, that can help reduce the related risk associated with hot or cold weather and other events that can strongly affect a multitude of socio-economic sectors. Recent advances in both statistical approaches and numerical modeling have improved the skill of Seasonal Forecasts. However, especially in mid-latitudes, they are still affected by large uncertainties that make their application often complicated. The ARTIST project aims at improving our knowledge of climate predictability at the seasonal time-scale, focusing on the role of unexplored drivers, to finally enhance the performance of current prediction systems. This effort is meant to reduce uncertainties and make forecasts efficiently usable by regional met-services and private bodies. A statistical/dynamical hybrid model will be designed through the synthesis of (a) a cutting-edge dynamical Seasonal Prediction System and (b) a statistical model based on advanced Machine Learning (ML) techniques. Such a hybrid approach may become critical to improve climate forecasts, because it combines the theoretical foundation and interpretability of physical modeling with the power of Artificial Intelligence (AI), that can reveal unknown or disregarded spatio-temporal features. ARTIST will focus on seasonal prediction of temperature hot/cold extremes in Europe, but its scalable nature can make it applicable across a wide range of variables and geographical areas. Besides the employment of AI, a strength of the action stands in the use of local land surface predictors to instruct the empirical model. The fellowship, which includes a variety of training activities, will be mainly conducted at the Barcelona Supercomputing Centre (Spain), a world-renowned institute for climate predictions and applications. A secondment period is projected at the Max Planck Institute for BGC (Germany), prominent in land studies and ML employment in earth science.

Keywords: seasonal prediction,ensemble machine learning,deep learning,land atmosphere interaction,land surface drivers,statistical model,dynamical model,hybrid forecast system
THE FIRST WEARABLE DEVICE DEDICATED TO THE WORLD OF COMBAT SPORTS TRANSFORMING SIMPLE TRAINING INTO A HIGH TECHNICAL REALITY (TECNE)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2018-11-01
End date: 2019-03-31
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Italian Fight Wear S.r.l, is a design and producer of combat sport gear established in Rapallo in 2014. They have developed SENSOR WRAPS MK II, a unique innovation for the combat sport sector, focused on the Fighting Sports Wearables market, valued at €1.7 billion and the wearables market projected to grow to €51 billion for the period of 2016-2022 at a CAGR of 15%. TECNE Wraps is a wearable inner glove technology that monitors a fighter’s metrics such as fatigue, heart rate, punch impact through inbuilt tracking devices that transmit data to smart devices in real time. Unlike current combat tracking products, which are a collection of sensors in a container strapped on the wrist. It also offers total hand protection to all fighting disciplines were outer gloves are needed in practice or competitive matches. Target users include amateur and professional combat sport athletes who represent a total addressable market of 8.9M as well fans of the sport. With SENSOR WRAPS MK II, the following benefits are offered; accurate and reliable data, reusable universal inner glove, total hand protection. Phase 1 will project will be used to finalize functionality and specifications for the inner glove, development of exploitation strategy as well as search for commercial partners. This will complement €130K already invested to bring TECNE Wraps to TRL 6. A roadmap of the activities and timelines Phase 2 towards the market launch for 2020 will also be defined. We anticipate that SENSOR WRAPS MK II will generate €10.4M in turnover and a return on investment of 99% by the 5th year on the market.

Keywords: combat sport,wearable technology,biometric tracker
Neural mechanisms, functional roles and pathophysiological relevance of human grid cell-like representations (GridRepresentations)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: The Human Mind and Its Complexity
Panel description: Cognitive science, psychology, linguistics, theoretical philosophy
Countries involved: Germany
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2020-09-01
End date: 2025-08-31
Duration (months): 60.0
Total project cost (EUR): 1999243.0
EU funding (EUR): 1999243.0
Participants: 1
Project status: SIGNED

The entorhinal cortex contains grid cells, a major cell type underlying spatial navigation. At the same time, it is amongst the first areas of the brain to be affected by Alzheimer’s disease (AD). In humans, grid cell-like representations (GCLRs) have been proposed as a network-level signature of grid cells that can be recorded non-invasively via functional magnetic resonance imaging (fMRI). I have recently demonstrated that there is a disruption of GCLRs in genetic AD risk carriers at young age, and suggested GCLRs as a novel biomarker for early disease processes in AD. However, the relationship between GCLRs at a network level and grid cells measured at the single-neuron level is still unknown, as is the pathophysiological relevance of the impaired GCLRs and of compensatory hyperactivity in other navigational systems. In the translational research program proposed here, I aim to unravel the cellular mechanisms, functional relevance, and pathological impact of grid cell-like representations in humans. My specific objectives are to (1) provide the first validation of GCLRs, by directly relating GCLRs at the network level to single unit activity of individual neurons recorded via microelectrodes in epilepsy patients; (2) clarify the functional relevance of GCLRs and complementary navigational systems for spatial behavior via layer-resolved ultrahigh field (7T) fMRI; (3) determine whether impairments of GCLRs and compensatory recruitment of other navigational strategies are related to AD pathology, using tau- and amyloid-PET imaging in AD risk carriers; and (4) restore impaired GCLRs via a pharmacological intervention, which may constitute a novel therapeutic option for modifying early AD. These studies will provide the first detailed understanding of the neural mechanisms and functional role of grid cells in humans across several levels of brain organization and pave the way for novel diagnostic and therapeutic approaches to AD.

Keywords: grid cells,oscillations,intracranial eeg,functional mri,spatial navigation,alzheimer s disease