Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Intelligent Urban Water Management System (URBANWATER)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for a low carbon economy
Action type: Collaborative project
Countries involved: Spain,United Kingdom,France,Spain,Croatia,Denmark,United Kingdom,Germany,Portugal,Portugal,Czechia
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2012-12-01
End date: 2015-11-30
Duration (months): 36.0
Total project cost (EUR): 4806217.0
EU funding (EUR): 3079773.0
Participants: 13
Project status: CLOSED

Improving the efficiency of water management in Europe was recognised by the EC as essential for overcoming the growing exposure of European countries to Water Scarcity and Droughts. UrbanWater proposes a platform that will enable a better end-to-end water management in urban areas, accounting for 17% of freshwater consumption in the EU. The project will undertake the development, demonstration, and economic up-scaling of an innovative ICT-based platform for the efficient integrated management of water resources. The system will benefit end-users, utilities, public authorities, the environment and the general public, in terms of: (i) providing consumers with comprehensive tools enabling them to use water more efficiently thereby reducing overall consumption; (ii) helping water utilities to meet demand at reduced costs; and (iii) fostering new partnerships between water authorities, utility, equipment and software companies so as to ensure the successful commercialisation of the system and the evolution of the European water sector as a global leader. The system will incorporate advanced metering solutions, real-time communication of consumption data and new data management technologies with real-time predictive capability, demand forecasting, consumption pattern interpretation, decision support systems, adaptive pricing and user empowerment solutions. The UrbanWater consortium includes ICT companies, research organisations and water utilities with complementary capacities and all the know-how required to oversee the successful completion of the project. Threewater distributors included in the group will undertake large-scale validations with their urban users, thus promoting a final outcome that is close to the market and to the end-users.

Keywords: urban water system,smart meters,utilities,data management,supply and demand forecasting,leakage detection,adaptive pricing,spatial decision support system (sdss),user empowerment
Fundamental and Applied Electromagnetics of Nano-Carbons (FAEMCAR)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Research Staff Exchange Scheme
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Belgium,Hungary,Italy,Lithuania
Call:  (FP7-PEOPLE-2012-IRSES, 2012)
Start date: 2012-11-01
End date: 2016-10-31
Duration (months): 48.0
Total project cost (EUR): 142500.0
EU funding (EUR): 142500.0
Participants: 5
Project status: CLOSED

Owing to very small dimensions of nanostructures in one or more directions, spatial confinement of charge carriers is fully achieved, providing thereby a discrete spectrum of their energy states. In addition, intrinsic spatial inhomogeneity of nanostructures dictates nanoscale inhomogeneity of the surrounding electromagnetic fields. Therefore, understanding the properties of nanostructures requires to deal with the intricate characters of their atomic structure, electronic structure and electromagnetic environment. Coming within the scope of this new field of "nano-electromagnetics", the present project aims at understanding how and why carbon nanostructures might have interesting electromagnetic properties. The core of the project is the development, the experimental validation and the exploitation of a consistent theory of the electromagnetic response in radio, microwave and THz frequency ranges of regular carbon nano structures and polymer composites based on nanocarbons. In particular, the project intends to: - to provide a forum for scientists specialized in different areas of the nanocarbon, and nanocarbon materials synthesis and applications; - interpret experimental electromagnetic data collected; - define physical grounds and perform experiments for the design of a new generation of ultra-light materials with controlled electromagnetic properties; - explore the possibility of using chemically-modified nanocarbons in "thin" bio-medical and nanophotonics applications. At this aim, seven teams belonging to three different scientific areas will joint efforts. The partners will equally contribute to the achievements of the objective of this multi-disciplinary project by bringing their expertise in condensed-matter physics, electromagnetic theory, and applied electromagnetism. The research efforts, both theoretical and experimental, are articulated around four work packages all involving strong collaborative links and knowledge transfer across the consortium.

Keywords: p106 electromagnetism,p212 nanophysics,p303 nanochemistry
Advanced Analytics for EXtremely Large European Databases (AXLE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Spain,United Kingdom,Slovenia,Netherlands
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2012-11-01
End date: 2015-10-31
Duration (months): 36.0
Total project cost (EUR): 3746410.0
EU funding (EUR): 2948465.0
Participants: 5
Project status: CLOSED

AXLE focuses on automatic scaling of complex analytics, while addressing the full requirements of real data sets. Real data sources have many difficult characteristics. Sources often start small and can grow extremely large as business/initiatives succeed, so the ability to grow seamlessly and automatically is at least as important as managing large data volumes once you know you have them. Extremely large data stores have added concerns such as data quality, privacy, security and auditability. Aspects of the project will include * Scalability Engineering - Autopartitioning, Compression * Security, Privacy and Audit Techniques * Visual Analytics * Advanced Architectures for Hardware and Software Validation will be carried out by industrial consortium partners with access to large volumes of private medical data, as well as other wide ranging data from other interested parties. Software features will be released as commercially-usable open source code, and submitted for wide use as core parts of the PostgreSQL database or Orange visualisation project, or pluggable extensions for those tools.

Keywords: analytics extremely large european data
A challenge on large-scale biomedical semantic indexing and question answering (BIOASQ)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Coordination and support actions
Countries involved: Greece,France,Germany,France,Germany
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2012-10-01
End date: 2014-09-30
Duration (months): 24.0
Total project cost (EUR): 1379926.0
EU funding (EUR): 1270000.0
Participants: 6
Project status: CLOSED

BioASQ will push for a solution to the information access problem of biomedical experts by setting up a challenge on biomedical semantic indexing and question answering (QA). Biomedical knowledge is dispersed in hundreds of heterogeneous knowledge sources and databases; many of them are connected on the Linked Open Data cloud. Biomedical experts, on the other hand, are in constant need of highly specialized information, which they cannot easily obtain. To address their needs, an information system needs to ``understand'' the data and answer efficiently the experts' questions. Often, however, experts need responses that cannot be answered by a single information source. To integrate information from disparate sources, semantic indexing of the vast quantities of information is needed to bridge the experts' needs with the available data sources. Semantic indexing is currently achieved by manual annotation, and does not scale up. Automating this process requires large-scale classification of data into hierarchically organized concepts. QA methods capable of ``interpreting'' questions in terms of the same concepts are also needed. BioASQ will push towards improved biomedical semantic indexing and QA via ambitious, yet realistic challenge tasks. The challenge will run in two stages, designed to (a) adapt traditional semantic indexing and QA methods to the needs of biomedical experts, and (b) collect feedback and improve the experimental setting itself. A large computational infrastructure, already available to the consortium, will be used to evaluate competing systems. The required datasets and evaluation measures will be established before the challenge. Biomedical experts will participate in the consortium, both as partners and through a supporting network of third parties.

Keywords: question answering,semantic indexing,biomedical information retrieval,machine learning
Parallel Distributed Infrastructure for Minimization of Energy (PARADIME)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Spain,Belgium,Germany,Switzerland
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2012-10-01
End date: 2015-09-30
Duration (months): 36.0
Total project cost (EUR): 3235707.0
EU funding (EUR): 2499998.0
Participants: 5
Project status: CLOSED

The increasing power and energy consumption of modern computing devices is perhaps the largest threat to technology minimization and associated gains in performance and productivity. On the one hand, we expect technology scaling to face the problem of “dark silicon” (only segments of a chip can function concurrently due to power restrictions) in the near future and lead us to use devices with completely new characteristics. On the other hand, as core counts increase, the shared memory model based on cache coherence will severely limit scalability and increase energy consumption. Therefore, to overcome these problems, we need new computing paradigms that are radically more energy efficient. The objective of ParaDIME is to attack the power-wall problem by radical software-hardware techniques that are driven by future circuit and device characteristics on one side, and by a programming model based on message passing on the other side. In particular ParaDIME will utilize: circuit and architecture operation below safe voltage limits for drastic energy savings, the use of specialized energy-aware computing accelerators, energy-aware runtime, approximate computing and power-aware message passing. The outcome of the project will be a processor architecture for a heterogeneous distributed system that utilizes future device characteristics for dramatic energy savings. Wherever possible, ParaDIME will adopt multidisciplinary techniques, such as hardware support for message passing, runtime energy optimization utilizing new hardware energy performance counters, use of accelerators for error recovery from sub-safe voltage operation, and approximate computing through annotated code. Furthermore, we will establish and investigate the theoretical limits of energy savings at the device, circuit, architecture, runtime, and programming model levels of the computing stack, as well as quantify the actual energy savings achieved by the ParaDIME approach for the complete computing stack.

Keywords: circuits,computer architecture,runtime,programming model,finfet,tfet,accelerator,sub safe-vdd operation,error-detection,energy-proportional computing,source-aware scheduling,message-passing
Practice and peRformance Analysis Inspiring Social Education (PRAISE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Learning and Access to Cultural Resources
Action type: Collaborative project
Countries involved: Spain,United Kingdom,Belgium
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2012-10-01
End date: 2015-09-30
Duration (months): 36.0
Total project cost (EUR): 3365977.0
EU funding (EUR): 2300000.0
Participants: 4
Project status: CLOSED

The recent explosion of social media sites is creating an unprecedented opportunity to build radically new types of learning environments, which use all the capabilities of social media but augmented with learning agents that can foster collaborative learning by doing. Music is a potentially very attractive domain to test this idea. There is an enormous need for education in music but personal music tuition has become unaffordable or impossible due to the large increase in demand. Very recently, social music media sites have sprung up, some attracting close to a million amateurs and professional musicians. Users share what they are doing within a community of trusted peers, give comments, create pieces together, and establish commercial and social relations. PRAISE proposes to go beyond what is currently available by building learning agents to act as guardians and tutors in a community of music practice who constantly monitor the student providing ongoing personalised praise and feedback. The realisation of this vision requires breakthroughs at two levels: pedagogical and technological. At a pedagogical level we need to find new principles that can work in these novel environments, such as personalised reflexive feedback, and ways in which elements from the standard educational curricula can be embedded seamlessly, triggered by personal needs. At a technological level we need significant advances in real-time content, gesture and linguistic analysis, community infrastructure, student modelling and educational interaction design. The project will not only perform the research needed to build a fully operational system but also carry out exciting case studies targeting the acquisition of cognitively challenging skills for Jazz and popular music both with children and advanced learners. Giving praise will be the commonly agreed mechanism for providing feedback so that the overall system stimulates the motivation and enhances the confidence of learners.

Keywords: personalised reflexive pedagogy,gesture and audio analysis,community building,personal agents,trust and reputation
LEADS: Large-Scale Elastic Architecture for Data as a Service (LEADS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Switzerland,Germany,Spain,Germany,Greece,Ireland
Call:  (FP7-ICT-2011-8, 2011)
Start date: 2012-10-01
End date: 2015-09-30
Duration (months): 36.0
Total project cost (EUR): 4051883.0
EU funding (EUR): 2889891.0
Participants: 8
Project status: CLOSED

There is a wealth of publicly available data in today’s Internet (e.g., Web pages, government law texts, public statistics, media archives, etc.) that can be exploited by large and small companies in various business domains. Storing, processing, and querying such ever increasing amounts of data is becoming a major challenge, and having the capability to do so is a strong asset for the few big companies with sufficient infrastructural resources. For instance, it is not possible for many small companies to mine publicly available content on the Internet because they do not have the means to build, access or store a complete graph of the Web. LEADS is based on the premise that, instead of maintaining data in-house in dedicated data centres, it is both economically and ecologically better to store it in a shared infrastructure. Its objective is to build a decentral-ized Data-as-a-Service (DaaS) framework that runs on an elastic collection of micro-clouds. LEADS will provide means to gather, store, and query publicly available data, as well as process this data in real-time. In addition, the public data can be enriched with private data maintained on behalf of a client, and the processing of the real-time data can be augmented with historical versions of the public and private data. The platform will be designed from the ground up to account for privacy, security, energy-efficiency, availability, elastic scalability, and performance considerations. The project will be validated on use-cases involving the crawling of Web data and its exploitation in different application domains. The project website will be http://www.leads-project.eu/

Keywords: data as a service,cloud computing,elastic scalability,data management,cost and energy efficiency,privacy and security,availability
Real-time adaptive networked control of rescue robots (RABOT)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Research Staff Exchange Scheme
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom,Romania,United Kingdom
Call:  (FP7-PEOPLE-2012-IRSES, 2012)
Start date: 2012-07-02
End date: 2016-07-01
Duration (months): 48.0
Total project cost (EUR): 310800.0
EU funding (EUR): 310800.0
Participants: 3
Project status: CLOSED

The network consists of 2 EU universities, 1 EU research centre, 2 Chinese universities and 1 Chinese research centre. This project aims to foster new partnerships, in particular with the research institutes in China and to reinforce the existing collaborations. The project has two aims - S&T aim and international knowledge transfer aim to create an international consortium in robotics for rescue and recovery operations. The S&T aim is to investigate the challenges in the rescue and recovery operations and design/develop a novel autonomous hybrid legged-wheeled robot with a high payload, large force and ability to adapt to uncertain environments. The knowledge transfer aim is to create a long term, sustainable and strategic partnership so as to reinforce theoretical, technical and practical skills of researchers from both EU and China in robotics. The EU partners who are good at computational intelligence, modelling, control, 3D virtual simulation, and software development will learn experimental skills in the world-class robotics research labs in China, while the Chinese partners who are good at hardware developments and mechatronics design will learn research methodologies and cultures at the EU partners’ labs. Therefore the project is expected to provide solid foundations to create long term research collaboration.

Keywords: g210 robotics: mobile rescue robots,parallel robots,human machine interaction,modelling,adaptive control/networked control
Global Perspectives on Learning and Development with Digital Video-Editing Media: A Qualitative Inquiry in Everyday Lives of Marginalized Young People (DIGIT-M-ED)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Research Staff Exchange Scheme
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Greece,Germany,United Kingdom
Call:  (FP7-PEOPLE-2012-IRSES, 2012)
Start date: 2012-06-26
End date: 2014-06-25
Duration (months): 24.0
Total project cost (EUR): 222100.0
EU funding (EUR): 222100.0
Participants: 3
Project status: CLOSED

The exchange concerns the social, cultural, media-analytical and educational-psychological dimensions of digital media practices with a focus on the devices that are used for capturing, editing and circulating video data. DIGIT-M-ED applies inter-disciplinary perspectives and knowledge to analyse how the use of digital technologies is shaped by and shapes today’s global youth. Solid research synergies between German and Indian traditions of anthropological and sociological youth research, British scholarship in media analysis, Greek and Brazilian educational and youth research and Russian learning theories will be constructed more fully and creatively. Moreover, the methodological contribution of the project is very important. DIGIT-M-ED aims to develop an innovative methodology for the interdisciplinary and comparative/cross-cultural study of emerging digital media and technological practices and constellations with special attention to the voices and perspectives of the young people involved in the research. Existing theoretical and methodological tools from 1) post-Vygotskian psychology and learning theory 2) multimodal analysis and 3) anthropological theoretical and research traditions will be tested and further developed. A small-scale inquiry with young people in the age of 16-21 years who live in marginalized urban milieus in Athens, New Delhi and São Paulo is planed with the aim of designing large-scale research in the near future. Further activities such as workshops, collaborative teaching and joint publications and presentations will expand and intensify existing research partnerships. DIGIT-M-ED will thus facilitate the development of a productive and sustainable international research network that will investigate how digital media and technologies transform the everyday lives and affect the development of young people in North and South Europe, Brazil, Russia and India in the years to come.

Keywords: s105 ethnography,s113 communication networks - media - information society,s213 education
Developing a biological network approach to quantify indirect costs and benefits of natural ecosystems to tropical agriculture (NETWORK)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Research Staff Exchange Scheme
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom,France
Call:  (FP7-PEOPLE-2012-IRSES, 2012)
Start date: 2012-08-01
End date: 2016-07-31
Duration (months): 48.0
Total project cost (EUR): 168000.0
EU funding (EUR): 168000.0
Participants: 2
Project status: CLOSED

Ecosystem services (ES) have risen to prominence as a motivation for conserving biodiversity. The role of biodiversity in ES is however complex and depends on the intricate ways in which the components of ecosystems interact. We have long been aware that “tinkering” with one part of an ecosystem can have unforeseen consequences elsewhere in that system, as effects are transmitted through the network of biological interactions. Advances in network theory, and empirical studies, are now providing insight into how these complex ecological systems operate, and how influencing one part of a network can have consequences for the entire system. NETWORK will bring together scientist with expertise in the empirical (UK), theoretical (France) and applied (South Africa) aspects that are required to make the transition from fundamental ecology to practice possible. It will focus on a proof-of-concept case study on the interactions between mango plantations and surrounding natural ecosystems. Natural vegetation near farmland can sustain populations of natural enemies of pest insects and of pollinators and thereby provide an important ecosystem service but can also be a source of the pest insects themselves (as farmers believe is the case in the mango system). A dynamic ecological network approach will be employed in this project to quantify these opposing effects in an important tropical crop (mango) under different management conditions. The project will be one of the first studies to take an in-depth ecological look at the tradeoffs between ES and the costs of natural systems, by studying the dynamics of, and interactions between, all the component species in the network. This will give insight into the quantitative effect of the natural ecosystem on crop production, and the development of methodology for testing alternative management strategies in silico to aid informed decision making.

Keywords: l801 ecology,l802 population biology - population dynamics - population genetics,l805 conservation biology - ecology - genetics,l813 agriculture related to crop production,food web