Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Analytical Sociology: Theoretical Developments and Empirical Research (ANALYTICAL SOCIOLOGY)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Advanced grants
Action type: Support for frontier research (ERC)
Panel: Institutions, values, beliefs and behaviour
Countries involved: Sweden,Sweden
Call:  (ERC-2012-ADG_20120411, 2012)
Start date: 2013-03-01
End date: 2018-02-28
Duration (months): 60.0
Total project cost (EUR): 1745098.0
EU funding (EUR): 1745098.0
Participants: 2
Project status: CLOSED

This proposal outlines a highly ambitious and path-breaking research program. Through a tightly integrated package of basic theoretical work, strategic empirical research projects, international workshops, and a large number of publications in leading journals, the research program seeks to move sociology in a more analytical direction. One part of the research program focuses on the epistemological and methodological foundations of analytical sociology, an approach to sociological theory and research that currently receives considerable attention in the international scholarly community. This work will be organized around two core themes: (1) the principles of mechanism-based explanations and (2) the micro-macro link. The empirical research analyzes in great detail the ethnic, gender, and socio-economic segregation of key interaction domains in Sweden using the approach of analytical sociology. The interaction domains focused upon are schools, workplaces and neighborhoods; domains where people spend a considerable part of their time, where much of the social interaction between people takes place, where identities are formed, and where important resources are distributed. Large-scale longitudinal micro data on the entire Swedish population, unique longitudinal data on social networks within school classes, and various agent-based simulation techniques, are used to better understand the processes through which schools, workplaces and neighborhoods become segregated along various dimensions, how the domains interact with one another, and how the structure and extent of segregation affects diverse social and economic outcomes.

Keywords: micro-macro links,social processes,social networks,social simulations.
Language Evolution: The Empirical Turn (EVOLAEMP)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Advanced grants
Action type: Support for frontier research (ERC)
Panel: The Human Mind and its complexity
Countries involved: Germany
Call:  (ERC-2012-ADG_20120411, 2012)
Start date: 2013-04-01
End date: 2018-03-31
Duration (months): 60.0
Total project cost (EUR): 2003580.0
EU funding (EUR): 2003580.0
Participants: 1
Project status: CLOSED

This proposal describes a highly interdisciplinary approach to the empirical study of cultural language evolution. It draws on ideas and methods from *historical linguistics and typology*, *natural language processing*, *biology*, *bioinformatics*, *computer science*, and *statistics*. The computer aided study of cultural language evolution has seen a tremendous upturn over the past fifteen years. This comprises both model-driven approaches - studying the consequences of design assumptions regarding language production, comprehension, and learning for their long-term population-wide consequences - and data-driven approaches that employ algorithmic techniques from bioinformatics to recover otherwise inaccessible information about language history. At the current junction, the field faces two challenges: - The specifics of language evolution - which includes parallels with but also key differences to biological evolution - require central attention. - Model-driven and data-driven approaches need to inform each other to achieve explanatory power and to assess the statistical significance of the findings. The project will establish a radically data-oriented framework for the study of language evolution. This includes three aspects: - replacing the off-the-shelf tools from bioinformatics that are currently in use in computational language classification by linguistically informed algorithms, esp.\ *multiple sequence alignment techniques*, - identifying characteristic traits of language evolution via *exploratory data analysis*, guided by the theory of *complex systems* and employing cutting-edge methods from *machine learning* such as *kernel methods* and *causal inference*, and - developing, implementing and testing models of language evolution that correctly predict the *statistical fingerprints of language evolution*, i.e. pay sufficient attention to the domain specific features of language evolution that have no counterpart in biological evolution.

Keywords: language evolution,bioinformatics,machine learning
Energy Efficient Converters using GaN Power Devices (E2COGAN)

Framework: FP7 — Cooperation
Programme: Joint Technology Initiatives (Annex IV-SP1)
Theme: Public-private partnerships
Destination: Electronic Numerical Integrator and Computer
Action type: Collaborative project
Partnership: ENIAC (Art-185)
Countries involved: Belgium,Netherlands,Belgium,Italy,Germany,France,Austria,Slovakia,France,France,Germany,Germany,United Kingdom,Switzerland,Italy,France,Germany,Germany,United Kingdom,Belgium,Germany
Call:  (ENIAC-2012-1, 2012)
Start date: 2013-04-01
End date: 2016-03-31
Duration (months): 36.0
Total project cost (EUR): 26271910.0
EU funding (EUR): 3940788.0
Participants: 25
Project status: CLOSED

The E2COGaN project will target the demonstration of GaN-on-Si as a disruptive power device technology platform through the whole value chain up to demonstrators with high industrial, societal and environmental relevance. Its innovative character will be proven through a well-balanced and application specific trade-off between the “corner” benefits given by higher efficiency, higher switching frequency, smaller footprint and weight and competitive cost on system level with respect to Si or SiC. The consortium comprises the whole GaN power electronics value chain from the substrate provider, device manufacturer, assembly house to the end user, completed by top academic institutes, tool and service providers. The plan is to start with 600V, 10A GaN devices and gradually explore higher voltages (up to 1500V) and currents (up to 100A) towards the end of the project, giving priority to the early exploration of applications below 10kW. Special attention will be paid on the control of reliability issues and parasitic effects on device and module level - especially regarding high frequency and high temperature operation - and the choice of the best suitable gate drivers. Finally, the main project demonstrators will focus on two application domains with strategic relevance: first, on photovoltaic where the use of GaN will be explored in micro-grid interfacing circuits and, second, on automotive, where the benefit of GaN will be investigated in grid-connected chargers for high voltage batteries, as found in new hybrid and full electric vehicles. These demonstrators should prove the potential of the GaN power devices through a gain in efficiency, weight, footprint, heat management ease and overall system cost. Moreover, the project will include a pre-study in Aeronautics with specific high temperature (250°C) and high radiation mission profiles.

Keywords: gan power devices,energy efficiency,photovoltaic,automotive,electric vehicle,battery charger,solar inverter,gan epitaxy,module assembly,reliability
OPTIMAL LOW-NOISE ENERGY-EFFICIENT ELECTRICAL MACHINES AND DRIVES FOR AUTOMOTIVE APPLICATIONS (EMDA_LOOP)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Romania,Germany
Call:  (FP7-PEOPLE-2012-IAPP, 2012)
Start date: 2013-01-01
End date: 2016-12-31
Duration (months): 48.0
Total project cost (EUR): 883338.7
EU funding (EUR): 883338.7
Participants: 2
Project status: CLOSED

Due to the replacement of engine-driven loads with electric power units, the electrical power requirements of a modern car has been rising rapidly during the last decades and are expected to continue to rise. As the power limitations of the storage systems and car alternators are rapidly being approached, different solutions have been searched for addressing this challenge. The research was oriented to the improvement of the electrical power units’ efficiency mainly through energy-efficient electrical actuators. As the electrification of vehicle propulsion continues to gain speed, the world of vehicle acoustics is also quickly adapting to the new needs of these vehicles. The sound and vibration signature of HEV/EV in general is quite different from vehicles powered by internal combustion engines. The current generation of HEV/EV poses a potentially different concern in that they are too quiet and therefore pose a threat to pedestrians when the vehicles are traveling at idle or low speeds. On the other hand, missing the covering sound and the mechanical power of the ICE in several operating conditions of the vehicle, more and more electric powered units are getting relevant for the sound. The main objective of EMDA_LoOp is to enhance technological know-how and transfer of knowledge in the field of electrical machines and drives for automotive applications. Two experienced partners in this area are combining their efforts for the transfer of knowledge by collaborative research, two-way intersectoral secondments, sharing facilities, training and dissemination activities. Co-operation and transfer of knowledge is dedicated to the development of energy efficient low-noise electrical machines and drives (EMDs) for automotive applications, through advanced multi-physics system level modelling, simulation and validation tools.

Keywords: electrical machines and drives,automotive,low noise,energy efficiency,optimization
DEsign, MOdelling and TESTing tools for Electrical Vehicles powertrain drives (DEMOTEST-EV)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Romania,Belgium,Belgium,Romania
Call:  (FP7-PEOPLE-2012-IAPP, 2012)
Start date: 2013-01-01
End date: 2016-12-31
Duration (months): 48.0
Total project cost (EUR): 976587.65
EU funding (EUR): 976587.65
Participants: 4
Project status: CLOSED

Advanced automotive system design and development requires a multidisciplinary and intersectoral approach connected to the integration of new powertrain concepts, such as electric and hybrid ones. This approach involves knowledge concerning the NVH issues, and/or electric motor, associated power electronics to control motor speed and torque, the transaxle that transfers the mechanical energy to the wheels, the battery and its management unit, etc. The present proposal answers to two challenges of the electrification of the passenger cars: (i) noise-vibration-harshness (NVH) issues connected to the electric driveline integration and (ii) new advanced modelling and testing tools able to answer to the high integration level of electric vehicles (EVs). The main objective of DeMoTest-EV aims the development of advanced and extended design, modelling and testing tools for improved concept modelling and for higher prediction accuracy of noise and vibration generated by EVs powertrain. The achievement of the objective will be possible by enhancing knowledge, know-how and technological transfer between four European partners bringing together their experience in electrical machines and drives, NVH issues in automotive, modelling and testing tools for automotive applications. The mechanisms used for the transfer of knowledge within the frame of the project are collaborative research, two-way intersectoral secondments, sharing facilities, training and dissemination activities.

Keywords: electric vehicles,pmsm,vrsm,srm,design,modelling,testing,electromagnetic model,vibro-acoustic model
Cloud Based Software Solution for Next Generation Diagnostics in Infectious Diseases (CLOUDX-I)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Ireland,United Kingdom,Ireland
Call:  (FP7-PEOPLE-2012-IAPP, 2012)
Start date: 2013-01-07
End date: 2017-01-06
Duration (months): 48.0
Total project cost (EUR): 1314300.0
EU funding (EUR): 1314300.0
Participants: 3
Project status: CLOSED

Infection is a leading cause of morbidity worldwide and incurs huge economic costs for both patient diagnosis and hospitalisation. Traditional wet-lab culture techniques often do not recognise particular bacterial strains such as the recently identified Campylobacter ureolyticus nor do they incorporate the resulting host response. In silico molecular detection methods flag such biomarkers and can facilitate rapid, efficient and accurate diagnosis. Major challenges in the widespread adoption of such techniques exist due to inter alia their complex computational characteristics, the need for software tools that are usable for both researchers and clinicians and the need for software solutions that are secure and auditable, providing full traceability and provenance of data. Therefore, the principal Scientific & Technological objective is to develop in silico techniques that can support rapid molecular diagnosis of infection and to embed these techniques in an efficient, usable, auditable and secure end to end diagnostic process.

Keywords: molecular,diagnostics,infection,genomics,bioinformatics,cloud,analysis,computing
Advanced Bladder cancer LAser Diagnostics and thErapy (ABLADE)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom,Netherlands,Russian Federation
Call:  (FP7-PEOPLE-2012-IAPP, 2012)
Start date: 2013-04-10
End date: 2017-04-09
Duration (months): 48.0
Total project cost (EUR): 2365400.0
EU funding (EUR): 2365400.0
Participants: 3
Project status: CLOSED

This project aims develop an integrated laser diagnostic and therapeutic technique for the use in detecting and treating bladder cancer. The aim will be to transfer knowledge and expertise between the University of Dundee Medical School and the Photonics and Nanoscience Group and two industrial partners who have specific expertise in laser based medical diagnostics and system development to share in the research project. Key aims include the generation of in-vitro and in-vivo validation data for a newly discovered laser absorption, in response to cancerous cells, peak in the infra-red region . Uncovering the mechanism behind this strong biomarker and implementing the knowledge to develop a new diagnostic tool focussed on bladder cancer will also have long-term collaboration potential for early diagnosis of other types of cancer. ABLADE will aim is demonstrate the efficiacy of a novel photo-therapy based on the stimulation of triplet oxygen at a cellular level which can initiate cell apotosis specifically in tumour cells. The project high levels of transfer of knowledge and expertise, including access to leading research factilites, through a series of secondments of ESRs and ERs, complemented by the recruitment of ERs to provide further inter-disciplinarly expertise and resource while benefitting from the strong industrial and academic links initiated through the project.

Keywords: bladder cancer,urology,bio-photonics,diagnostics,photo-therapy
50% Reduction of Brake Wear Particulate Matter (REBRAKE)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Italy,Italy,Sweden
Call:  (FP7-PEOPLE-2012-IAPP, 2012)
Start date: 2013-03-01
End date: 2017-02-28
Duration (months): 48.0
Total project cost (EUR): 2061716.43
EU funding (EUR): 2061716.43
Participants: 3
Project status: CLOSED

Particulates, also known under the name of particulate matter (PM), are fine particles or soot. Particulate matter is frequently classified according to its size, i.e. PM10, PM2.5 and PM0.1 for particulates with an aerodynamic diameter D smaller than, respectively, 10 µm, 2.5 µm and 0.1 µm. PM represent an hazard for human health. Very coarse particles (D > 10 µm) are generally filtered in the nose and throat via cilia and mucus. Coarse particles (2.5 µm < D < 10 µm) can settle in the bronchi and lungs. Fine particles (0.1 µm < D < 2,5 µm) can easily penetrate into the lungs gas exchange regions, and they might cause vascular inflammation related diseases and possibly lung cancer. Ultrafine particles (D < 0.1 µm) or nanoparticles might be even more dangerous, as they can reach intimate structure of tissues and organs and act as nucleations sites for cancer and degenerative pathologies.. Despite the emissions of PM2.5 and PM10 decreased by 16% and 21 respectively between 1999 and 2009, PM limits were exceeded widely across the EU area, a quite discouraging result. Whilst exhaust gases in the road transport are monitored and object of the European directives, less is known about the particulates originating from the wear of e.g. brakes and tyres. A recent study for the city of London regarding 2011 and future 2015 PM emissions, estimated a consistent increase of the PM wear emissions (brakes and tyres) with respect to the overall PM emissions: from 35% to 47% for PM10 and from 40% to 55% for PM2.5 The REBRAKE ultimate and tangible objectives aims at: i) at least 50% particulate matter (PM10) mass reduction from brake wear, in compliance with the EU2020 thematic strategy of 47% reduction of particulate matter by 2020; ii) deeper comprehension of the physical and chemical phenomena underlying the brake wear process, including higher comprehension and analysis of characteristics coarse, fine and UFP particles.

Keywords: pm2.5,pm10,pm0.1,ufp,particulate matter,brakes,pads,discs
Network for Development of Soft Nanofibrous Construct for Cellular Therapy of Degenerative Skeletal Disorders (FIBROGELNET)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Spain,Germany,Spain,France,United Kingdom,Germany,Bulgaria
Call:  (FP7-PEOPLE-2012-IAPP, 2012)
Start date: 2013-01-01
End date: 2017-06-30
Duration (months): 54.0
Total project cost (EUR): 910726.43
EU funding (EUR): 910726.43
Participants: 7
Project status: CLOSED

High incidence of degenerative skeletal tissue disorders in a progressively aging human population make tissue engineering of cartilage and bone a focus of extensive research. Bone and joint disorders are the most common disease in Europe: more than 100 million European citizens suffer from arthritis and 19 million people have osteoporosis (one of three women and one of eight men are affected). This proposal is designed to supplement the existing EuroNanoMed project aimed to develop an innovative strategy for targeting bone and cartilage regeneration. More specifically the proposal seeks to set up an international multidisciplinary team of young scientists and engineers representing both academia and industry partners that will strongly contribute to the design of a novel type of implant, which can strongly promote tissue regeneration combining high performance materials, advanced nanotechnology and living cells.

Keywords: biomimetic gel,nanofibers,construct,hmsc,bone,cartilage
Engaging in Knowledge Networking via an interactive 3D Social Supplier Network (KNOWNET)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom,Spain
Call:  (FP7-PEOPLE-2012-IAPP, 2012)
Start date: 2013-01-01
End date: 2016-12-31
Duration (months): 48.0
Total project cost (EUR): 563928.52
EU funding (EUR): 563928.52
Participants: 3
Project status: CLOSED

The KNOWNET project examines the potential of current social networking technology via an immersive 3D medium, to support sustained knowledge sharing and generation across a multi-level supply chain in the insurance market. The concept of collaborative networking is particularly timely in an industry that seeks to strengthen the inter-organizational ties between insurers, suppliers and external agencies, for improving processes, accelerating innovation, fostering creativity, sharing experiences, and generating ideas amongst the supplier network. The aims and objectives of KNOWNET therefore are to develop, build and test an interactive Supplier social network framework (SSN), designed to support innovation and leaning where both explicit and tacit knowledge and experience of suppliers and their employees can be shared. The SSN will consist of a set of web based tools, applications and exercises supporting the formation of communities of inquiry and promoting learning through social interaction. Given that the idea of interactive SSN’s is relatively novel and a comparatively unexplored area in the field of SCM, the project seeks to measure participants attitudes and behaviours surrounding the concept of virtual supplier communities, the creating and sustaining of personal relationships, commitment and trust between parties for the exchange of knowledge. The SSN will be trialled across two European countries’ domestic supply chains in the insurance sector. An academic industry collaboration would provide the type of expertise in learning via ‘social networks currently not available within the Insurance sector. The emphasis of KNOWNET will therefore be on stimulating inter-sectoral mobility and increasing knowledge sharing through joint research partnerships in long term co-operative programmes between insurance supply chain organizations and academia across the EU.

Keywords: knowledge exchange and generation,insurance supply chains,interactive 3d medium