Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Training future mechanical, civil, electrionic engineers and computer scientists in SYStem Identification, Condition & Health Monitoring for a New Generation of WIND Turbines (SYSWIND)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Initial Training Networks
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Ireland,Denmark,Denmark,Denmark,Greece,United Kingdom,Italy
Call:  (FP7-PEOPLE-ITN-2008, 2008)
Start date: 2009-12-01
End date: 2013-11-30
Duration (months): 48.0
Total project cost (EUR): 3026568.0
EU funding (EUR): 3026568.0
Participants: 8
Project status: CLOSED

Growth in the European wind energy market has led to the manufacture of larger turbines (~ 7.5 MW). There are several challenges associated with these turbines, particularly offshore, e.g., vibrations/ damage of the flexible blades, mechanical drives/electric converters. These raise maintenance concerns and result in operational downtime, impacting on power systems and supply reliability. For these reasons there have been huge R&D investments creating the requirement for highly trained manpower in Europe. The SYSWIND network will train future engineers and scientists in truly multi-disciplinary and newly emerging scientific areas and technologies for next generation wind turbines. There are six research themes: new structural health monitoring (SHM), wireless sensor network (WSN), multi-body systems (including aerodynamics and geotechnics), semi-active vibration control, composite materials and power system modelling. In addition, complementary non-scientific training such as on commercialisation and IPRs will be provided to enhance the career prospects of the researchers. Besides seven leading Universities from Europe, the network includes (A) 2 SMEs specialised in R&amp;D for wind turbines and geotechnics as full partners, (B) 4 companies training 7 researchers on WSN, vibration control and wind energy trading, (C) additional partners transferring complementary skills geared towards wind energy specialists, and (D) world class research groups such as from Stanford in the US, pioneers in the research fields addressed. The strong involvement of the industry will shape the training needs of the researchers and increase their employability. The association with the leading experts will aid the career development of the researchers and raise their profile. The network has the potential to establish new mutually-recognized inter-institutional courses jointly with industry partners, and thus strengthen the growth and competiveness of the wind energy sector.

Keywords: structural health monitoring,damage detection,wind energy,time-frequency analysis,wavelet signal processing,mechanical/civil vibrations
SPINEFX: A University–Industry Network for the Training of High-quality Multidisciplinary Researchers to Deliver Enterprising, Cost-effective Surgical Solutions for Spinal Disease and Trauma (SPINEFX)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Initial Training Networks
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom,Denmark,Germany,Austria,Switzerland,Sweden,Germany
Call:  (FP7-PEOPLE-ITN-2008, 2008)
Start date: 2009-11-01
End date: 2013-10-31
Duration (months): 48.0
Total project cost (EUR): 2967204.08
EU funding (EUR): 2967204.08
Participants: 8
Project status: CLOSED

SPINEFX is an integrated ITN comprising academic, industrial and clinical partners that is designed to create exceptionally trained researchers with the key skills to deliver commercially significant, innovative solutions to the challenges posed by spinal disease and trauma, namely vertebral fracture. The significant economic and personal impact of these fractures can be gleaned from the fact that in osteoporosis 1 in 3 women will suffer one. Added to this is the high cost of vertebral fractures due to trauma, which can exceed €1 million per patient. It is only with a multidisciplinary approach, which is a synthesis of key academic and industrial skills, that high quality training can be delivered to researchers to address this economic and individual burden. Early Stage Researchers (ESRs) will be located within internationally renowned academic institutions with state-of-the-art facilities and will be involved in projects organized around key themes which cascade over basic, oriented and applied research in a truly ‘bench to bedside and beyond’ manner. New knowledge generated by the ESRs will be exploited by the Experienced Researchers (ERs) who will be located in three of Europes leading Small-Medium Sized Enterprises in this arena. Here the ERs will strengthen their scientific competencies in a market-driven environment and advance their managerial and knowledge transfer skills. As well as playing a significant role in training-through-research, Industry will also be a central element of the Structured Training. The latter includes Network-Wide Workshops open to the international community, secondments and the co-hosting of the Final Conference in conjunction with the EuroSpine Meeting organized by the Spine Society for Europe. All training will emphasise both complementary and scientific skills, thus significantly enhancing the career prospects of the ESRs/ERs and creating future research leaders.

Keywords: biomedical engineering,orthopaedics,biomaterial engineering,biomedical materials,tissue culture
Fronts and Interfaces in Science and Technology (FIRST)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Initial Training Networks
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Spain,Germany,France,Italy,Netherlands,Israel,United Kingdom,Switzerland,France,Germany,France
Call:  (FP7-PEOPLE-ITN-2008, 2008)
Start date: 2010-01-01
End date: 2013-12-31
Duration (months): 48.0
Total project cost (EUR): 3974552.0
EU funding (EUR): 3974552.0
Participants: 11
Project status: CLOSED

Space-time phenomena giving rise to fronts and interfaces are central issues in many contexts of Science and Technology. A selection of some of the most challenging ones, most often of multi-disciplinary character, will be pursued by a team of 10 Full Partner Members (8 universities of different countries and two industries, Guigues Environnement (France) and Siemens (Germany)) with the help of 4 Associate Partners. The project is divided into three general Work Packages A: Image Processing, B: Patterns in Complex Reaction-Diffusion Systems and C: Interfaces, Control and Inverse Methods in Technology Problems. The training of 42 ESR is proposed with a interdisciplinar orientation: besides the presence of the two mentioned industries with special interest in work packages B and C, respectively, most of the mathematicians implied in this ITN in the field of image processing are collaborating with researchers from other fields as in the case of the Technion Computer Sciences and Electrical Engineering departments. The presence of two industrial partners will also broaden the range of applications of the training techniques used in the FIRST. The Guigues and Simens partners, are in the supervisory board of the ITN, and are involved in the training programme through complementary skills seminars. Most of the ESRs will be trained in at least two different universities. The list of structured training courses refers not only to a set of postgraduate courses available in the PhD programmes but to some specialized courses which will be organized for the FIRST ITN. The benefit to the European scientific community will be significant: the training will not only produce researchers with broad backgrounds qualified for academic careers. It will also produce individuals with an understanding of science and with an excellent perspective for a career outside academia.

Keywords: engineering mathematics,physical sciences,technological sciences
European Research Training in Monte Carlo based Innovative Management and Processing for an Unrivalled Leap in Sensor Exploitation (MC IMPULSE)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Initial Training Networks
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Netherlands,United Kingdom,Sweden,Germany
Call:  (FP7-PEOPLE-ITN-2008, 2008)
Start date: 2009-12-01
End date: 2014-02-28
Duration (months): 51.0
Total project cost (EUR): 3315000.0
EU funding (EUR): 3315000.0
Participants: 8
Project status: CLOSED

Sensor technology has become ubiquitous in almost every area of our daily life. Its application has the potential to significantly improve our quality of life, for example through systems for independent living (ambient assisted living) or accident prevention in traffic. The MC IMPULSE consortium has identified sensor data processing as a key technological area where Europe can make a difference. Additional investment in research and technological development, training of researchers and networking the existing research capacities both in academia and industry are prerequisites for success. MC IMPULSE exactly aims at these strategic objectives. MC IMPULSE aims to develop and execute a multidisciplinary and networked European research training programme. To date no specific training programme in this field is available in Europe while well trained researchers and engineers are scarce. The MC IMPULSE consortium unites highly complementary partners from industry (including Thales, Saab and 2 SME’s) universities and a research institute, guaranteeing an interdisciplinary research and training programme. Within MC IMPULSE 13 early stage researchers and two experienced researchers will be trained. The MC IMPULSE consortium will build a durable cooperation in research and training in the field of sensor data processing. The research programme will focus on the development of novel methods for real-time signal and data processing, based on data collected form sensors or networks of sensors. Specific innovations expected to be achieved through MC IMPULSE are: • detecting and tracking objects by processing information from (a network of) sensors, • fusing information from multiple sensors and their efficient processing for on-line applications. Dissemination methods to realize optimal impact on the European academic community, industry and society include scientific publications, presentations at conferences and dissemination through websites.

Keywords: technological sciences
Smart Management for Sustainable Human Environment (SMARTEN)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Initial Training Networks
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Cyprus,Greece,United Kingdom,Italy,Germany,Switzerland,France,Denmark,United Kingdom
Call:  (FP7-PEOPLE-ITN-2008, 2008)
Start date: 2009-12-01
End date: 2013-11-30
Duration (months): 48.0
Total project cost (EUR): 3642631.04
EU funding (EUR): 3642631.04
Participants: 12
Project status: CLOSED

There are increasing concerns regarding the environmental impact of human actions, the use of the environment and climate changes. These are coupled with ageing infrastructure systems, continuously growing and changing demands on the built and natural environments as well as limited financial and depleting natural resources. Until now, research has been focused on the development of proactive risk-based approaches for civil infrastructure reliability and management with benefits in improved performance, safety and cost. However, there are significant uncertainties associated with the various predictive models directly affecting the quality of the decision making mainly due to the limited amount of information available on the condition, demands and actual performance of various systems. Recently, a new generation of miniature wireless sensor platforms which utilize novel digital signal processing has emerged. These can be adopted to obtain large quantities of highly diverse sensor data that are continuously collected over a long period of time from multiple locations providing significant insight on the condition, demands and performance of the system. These developments open up a completely novel area of multidisciplinary research towards the ‘smart’ management of sustainable environment. Even though there are top research institutions working in the field of wireless sensors and others in the civil infrastructure reliability and management, most of the activity is fragmented and there is no significant activity in performing multidisciplinary structured research for developing integrated smart and dynamic systems for effective management of the built and natural environment. The aim of SmartEN is to fill this gap and push innovation through the development of an ITN network that will focus on the development and effective integration of emerging technologies targeting key application areas of current interest to the European Commission and internationally.

Keywords: infrastructure management,infrastructure engineering,structural monitoring,smart structures,life-cycle engineering,wireless sensor networks,digital signal processing,wireless communications
Bayesian Biometrics For Forensics (BBFOR2)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Initial Training Networks
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Netherlands,Spain,Italy,Netherlands,Switzerland,United Kingdom,Belgium,Sweden,Netherlands
Call:  (FP7-PEOPLE-ITN-2008, 2008)
Start date: 2010-01-01
End date: 2013-12-31
Duration (months): 48.0
Total project cost (EUR): 3219287.0
EU funding (EUR): 3219287.0
Participants: 9
Project status: CLOSED

With various forms of biometric technologies becoming available, there is a growing need for scientists who are able to assess the merits of these technologies when applied to forensics. The Marie Curie ITN `Bayesian Biometrics for Forensics,' or BBfor2, will provide a training infrastructure that will educate Early Stage Researchers in the core biometric technologies of speaker, face and fingerprint recognition, as well as the forensic aspects of these technologies. According to modern interpretation of evidence in court, biometric evidence must be presented as likelihood ratios. The calibration of likelihood ratios of individual behavioural and physical biometrics and of combinations of biometric modalities, including measures of the quality of the traces, is a unifying topic in all research projects in this Network. The training of ESRs will be realized as individual PhD projects at various research labs, including a forensic institute. Apart from training at their host institute and secondments with other network partners, the ESRs will receive training in dedicated Summer Schools on Biometric Signal Processing, Bayesian Techniques in Forensic Applications and Legal Issues in Forensic Applications. The Network combines 8 European Universities and a leading Forensic Institute; it is augmented by a biometric industrial and a research institute, where secondments of the ESRs will take place.

Keywords: forensics,biometrics,bayesian framework,speaker recognition,face recognition,fingerprint recognition,likelihood ratio
Medical Imaging Using Bio-inspired and Soft Computing (MIBISOC)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Initial Training Networks
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Belgium,Belgium,United Kingdom,Italy,Spain,Germany,Spain
Call:  (FP7-PEOPLE-ITN-2008, 2008)
Start date: 2009-10-01
End date: 2013-09-30
Duration (months): 48.0
Total project cost (EUR): 3464246.58
EU funding (EUR): 3464246.58
Participants: 8
Project status: CLOSED

Medical imaging (MI) is at the heart of many of today’s improved diagnostic and treatment technologies. Computer-based solutions are vastly more capable of both quantitative measurement of the medical condition and the pre-processing tasks of filtering, sharpening, and focusing image detail. Bio-inspired and Soft Computing (BC, SC) techniques have been successfully applied in each of the fundamental steps of medical image processing and analysis (e.g. restoration, segmentation, registration or tracking). The natural partnership of humans and intelligent systems and machines in MI is to provide the clinician with powerful tools to take better decisions regarding diagnostic and treatment. The main goal of the network is to create a training programme where the enrolled early-stage researchers (ESRs) will be exposed to a wide variety of SC and BC techniques, as well as to the challenge of applying them to different situations and problems within the different MI stages. A personalised, exhaustive and complementary programme will consist of: i) a personalised research plan based on individual research projects; ii) local and network-wide specific training courses, both in face-to-face and virtual modalities; iii) the network’s complementary skills courses, workshops and final conference; and iv) the international research stays among the different partners. The collaboration of experts from the area of MI with those working on BC and SC applications to computer vision will generate new and viable methods and solutions from the combined ideas of these communities. The presence of both research and technical partners in the network, including hospitals and companies, will provide the appropriate framework for application domain focused research. The trained ESRs will acquire a strong background for the development of intelligent systems based on BC-SC providing flexible application-oriented solutions to current MI problems in the clinical and research field.

Keywords: medical imaging,soft computing,bio-inspired computing,evolutionary computation,fuzzy logic,neural networks,swarm intelligence
HIV COEVOLUTION AND DRUG RESISTANCE (HIV COEVOLUTION)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: European Re-integration Grants
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Spain
Call:  (FP7-PEOPLE-ERG-2008, 2008)
Start date: 2009-04-13
End date: 2011-04-12
Duration (months): 24.0
Total project cost (EUR): 30000.0
EU funding (EUR): 30000.0
Participants: 1
Project status: CLOSED

HIV-1 infects principally T4 lymphocytes. HIV infection has been reported to affect over 40 million people world wide, with 4 new million people infected each year. Regarding the effort put to stop HIV infection, there is no effective solution. During the last years, several studies have been done to find out more about the existence of intra-patient population structure (different viral population in different patient organs). In our previously reports we performed an in silico meta-analysis. The results highlight the detection of organ compartmentalization in proviral sequences of pol, gag and env HIV proteins. Those viruses found in nervous system (NS) and liver are significantly different from those found in the rest of the body organs, these differences have been associated to a different selection constraints acting on the virus in the different organs. This can be the cause of antiviral therapy failure. The binding of viral peptides with the Major Histocompatibility Complex and the recognition form the immune system T-Cells, are necessary to finish with viral infection in vertebrates. For this reason there is a coevlutionary history between viral particles proteins and cell receptors. The main aim of the project is the combination of in silico (principally) and in vitro/in vivo (when this is possible) approaches to be able to understand (i) evolution of the virus inside of the body, (ii) selection constraints forcing the differential evolution of the virus, (iii) understand and predict protein-protein interactions (between cell receptors and Env viral protein) performing molecular coevolutionary analyses. The information obtained from the project has it relevance at clinic ad economical level. If we are able to explain how virus evolves, how new resistant viruses appear, and how virus interact with cell receptors, we can help to fight against HIV.

Keywords: computational biology,phylogeny,molecular genetics,population genetics,molecular evolution,virology
Distributed Dynamic Diversity Databases for Life (4D4LIFE)

Framework: FP7 — Capacities
Programme: Research Infrastructures
Destination: Support to existing research infrastructures
Action type: Combination of CP & CSA
Countries involved: United Kingdom,France,Czechia,Netherlands,United Kingdom,Belgium,Germany,United Kingdom,United Kingdom,Austria,Netherlands,Ireland,Germany,Germany,Poland,France,Spain,Italy,Netherlands,Belgium,Netherlands,United Kingdom,Denmark,China,Brazil,United States,Australia,New Zealand,Austria,Belgium,Germany
Call:  (FP7-INFRASTRUCTURES-2008-2, 2008)
Start date: 2009-05-01
End date: 2012-07-31
Duration (months): 39.0
Total project cost (EUR): 3700382.0
EU funding (EUR): 3300000.0
Participants: 39
Project status: CLOSED

A coherent classification and species checklist of the world’s plants, animals, fungi and microbes is fundamental for accessing information about biodiversity. The Catalogue of Life provides the world with a unique service: a dynamically updated global index of validated scientific names, synonyms and common names integrated within a single taxonomic hierarchy. The Catalogue of Life was initiated as a European Scientific Infrastructure under FP5 and has a distributed knowledge architecture. Its federated e-compendium of the world’s organisms grows rapidly (now covering well over one million species), and has established a formidable user base, including major global biodiversity portals as well as national biodiversity resources and individual users worldwide. Joint Research Activities in this 4D4Life Project will establish the Catalogue of Life as a state of the art e-science facility based on an enhanced service-based distributed architecture. This will make it available for integration into analytical and synthetic distributed networks such as those developing in conservation, climate change, invasive species, molecular biodiversity and regulatory domains. User-driven enhancements in the presentation of distribution data and bio-data will be made. In its Networking Activities 4D4Life will strengthen the development of Global Species Databases that provide the core of the service, and extend the geographical reach of the programme beyond Europe by realizing a Multi-Hub Network integrating data from China, New Zealand, Australia, N. America and Brazil. Service Activities, the largest part of 4D4Life, will create new electronic taxonomy services, including synonymy server, taxon name-change, and download services, plus new educational and popular services, for instance for hand-held devices.

Keywords: catalogue of life,taxonomic hierarchy,species checklist,plants,animals,fungi,microbes,species 2000