Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Local interactions between GABAergic and glutamatergic plasticity (GABASYNAPSES)

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: Netherlands,Germany
Call:  (FP7-PEOPLE-2009-RG, 2009)
Start date: 2010-07-01
End date: 2013-10-20
Duration (months): 36.0
Total project cost (EUR): 45000.0
EU funding (EUR): 45000.0
Participants: 2
Project status: CLOSED

Throughout lifetime a proper balance between excitation and inhibition is crucial for a healthy brain. How exactly this balance between excitation and inhibition is regulated in the brain is not well understood. One intriguing possibility is that glutamatergic and GABAergic synaptic plasticity are not regulated separately, but somehow interact to maintain this balance. In the work proposed here we intend to examine whether plasticity of inhibitory and glutamatergic synapses interact with each other on a very local scale, i.e. within the dendrite. My research has two main objectives. (1) I ask whether excitation affects plasticity of inhibitory axons. I propose to examine at what spatial scale excitatory activity can affect turnover of GABAergic boutons. The area of activity manipulation will be systematically decreased (ranging from global manipulations to activation of individual dendritic inputs) and we will examine how these manipulations affect the formation and loss of GABAergic boutons at the site of manipulation. (2) I propose to examine how local inhibitory synaptic activity affects nearby plasticity of excitatory synapses. Potentiation at individual excitatory synapses will be induced by a glutamate uncaging protocol. A nearby inhibitory synapse (on the same dendrite) will be activated at specific intervals from the plasticity induction protocol and we will test whether this local inhibitory activity affects the induced excitatory plasticity. The proposed research involves the use of advanced imaging techniques, in combination with electrophysiology and using tools from molecular biology. The results of the proposed research will advance our understanding how the balance between excitation and inhibition in the brain is regulated. A better understanding of this crucial balance is fundamental to a wide variety of neuroscience disciplines, from computational and cellular neuroscience to clinical applications.

Keywords: two-photon imaging,gabaergic synapses,synaptic plasticity,learning and memory
Characterisation of the basic elements of BEC dynamics beyond mean-field (QUANTUMDYNAMICS)

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: Poland
Call:  (FP7-PEOPLE-2009-RG, 2009)
Start date: 2010-04-01
End date: 2013-03-31
Duration (months): 36.0
Total project cost (EUR): 45000.0
EU funding (EUR): 45000.0
Participants: 1
Project status: CLOSED

The quantum dynamics of several characteristic simple situations in the dynamics of ultracold Bose gases will be systematically studied for a broad range of their basic parameters, with particular emphasis on the incoherent particles and the possibility of their stimulated growth into coherent phase grains. Situations include supersonic flow past an obstacle, collisions of BECs, reflection of a BEC from a barrier, and interaction of obstacles and vortices. The aim is to produce quantitative maps of their behaviour as a function of basic scaled parameters such as velocity, obstacle dimensions, and duration. To date, knowledge of these simple dynamical situations is mostly limited to isolated parameter choices, whereas this project objective is to make the coverage broad, comprehensive and continuous. This has many practical applications to understanding of more complex/realistic situations that can be broken up into the simpler elements, and is timely given the increase in BEC dynamics experiments in the last 2-3 years. Simulations with phase-space methods of the first-principles, c-field, and Bogoliubov variety are essential for broad coverage. This matches and will build on the existing extensive and deep experience of the researcher in developing and using such methods, obtained during the EIF fellowship. Finalisation of the stochastic time-adaptive Bogoliubov simulation method roughly developed then is necessary and planned. 3 years of research at the Polish Academy of Sciences in Warsaw is planned. It is already home to several world experts on Bose gas dynamics, and several other expert groups are in Warsaw and Poland, so professional integration will be thorough, and EU-wide scientific integration will increase. The project work will be used to obtain a habilitation, necessary to obtain a permanent independent research position in the Polish system.

Keywords: quantum mechanics,bose-einstein condensates,quantum gases,ultracold atoms,quantum dynamics,many-body,computational physics,phase space representations
Generate Renewable Energy Efficiently using Nanofabricated Silicon (GREEN SILICON)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and emerging technologies
Action type: Collaborative project
Countries involved: United Kingdom,Italy,Austria,Switzerland
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-08-01
End date: 2013-07-31
Duration (months): 36.0
Total project cost (EUR): 2205303.0
EU funding (EUR): 1660000.0
Participants: 4
Project status: CLOSED

The primary objective of this project is to demonstrate integrated on-chip thermoelectric energy harvesting using micro-/nano-fabricated Si/SiGe nanostructures with improved efficiencies through the use of band-structure and phonon engineering. High performance thermoelectric materials require high electrical conductivity and low thermal conductivity. Our approach is to engineer thermoelectric materials which enhance the electrical conductivity while simultaneously blocking the tranport of thermal energy through the devices. Bulk 2D Si/SiGe superlattices, laterally patterned 1D nanowires and 0D quantum dots made from Si/SiGe heterostructure technology will be investigated for high performance thermoelectrics in microsystems and other applications. We propose to combine the optimum 2D superlattice or 0D quantum dot material with 1D nanowire patterning to further improve the thermoelectric performance of microgenerators. The final optimised thermoelectric generator will be integrated with a capacitor energy store on a mm-sized single silicon chip to demonstrate a power source for an autonomous system. This will be used to power a micropower CMOS sensor to demonstrate its use as an energy harvesting system. The developed technology will be compatible with the power supply requirements for wireless autonomous systems such as those defined in the IEEE 802.15.4 standard. While the project is aimed at on-chip sustainable energy generation, the techniques, technology and IP being developed will also be able to be deployed into high efficiency (>20%) thermoelectric generators and Peltier coolers for domestic and industrial applications.

Keywords: energy harvesting,thermoelectrics,smart dust,autonomous systems,monolithically integrated power source
Relevance and cognition for self-awareness in a content-centric Internet (RECOGNITION)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and emerging technologies
Action type: Collaborative project
Countries involved: United Kingdom,Italy,United Kingdom,Greece,France
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-10-01
End date: 2013-09-30
Duration (months): 36.0
Total project cost (EUR): 3149909.0
EU funding (EUR): 2400000.0
Participants: 6
Project status: CLOSED

RECOGNITION will develop a radically new approach for embedding self-awareness in ICT systems. This will be based on the cognitive processes that the human species exhibits for self-awareness, seeking to exploit the fact that humans are ultimately the fundamental basis for high performance autonomic processes. This is due to the cognitive ability of the brain to efficiently assert relevance (or irrelevance), extract knowledge and take appropriate decisions, when faced with partial information and disparate stimuli. Using the psychological and cognitive sciences as concrete inspiration, our approach is to develop functional models of the core cognitive processes that allow humans to assert relevance and achieve knowledge from information. This involves mechanisms such as inference, belief, similarity and trust. These will be translated to the ICT domain by development of flexible RECOGNITION algorithms that can be imbedded in ICT on a flexible basis for self-awareness. We will demonstrate this new paradigm for Internet content. The future Internet will see ever-increasing amounts of content that needs to be effectively managed and acquired, often from portable devices and in diverse spatial and social situations. The massive scale of content will swamp the user with information, impeding effective management and relevant acquisition by the user. By exploiting the self-awareness capability we will enable the users, content and network to cope effectively in a scalable manner, thus making unprecedented amounts of relevant content available and unleashing new classes of applications that extract maximum utility from content.

Keywords: autonomic,self-awareness,adaptive,content-centric,cognition,relevance,information
Future gazing TEL: the roadmap for the unknown Learning landscape (TEL-MAP)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Digital libraries and content
Action type: Coordination and support actions
Countries involved: United Kingdom,Finland,Sweden,Germany,United Kingdom,Norway,Germany,Austria,Italy
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-10-01
End date: 2013-03-31
Duration (months): 30.0
Total project cost (EUR): 2530501.0
EU funding (EUR): 2129866.0
Participants: 11
Project status: CLOSED

This proposal focuses on topic f) of call 5: ‘exploratory/Roadmapping activities for fundamentally new forms of learning’ to support take-up of those new forms, via ‘Awareness building and knowledge management on the results of EU RTD projects in TEL’ and ‘socio-economic evaluations in education and for SMEs’. We gather information on the current, desired and emerging position of TEL, and on awareness and appropriation (by educators and SMEs) of RTD results in TEL. We codify that information using state of the art knowledge management tools/ methods, at three levels of scale: 1) macro (political, economic, social, technological, legal, environmental), 2) meso (organisation of education and training systems and institutions), and 3) micro (enacted paradigms of learning and teaching). Cutting across these levels of scale is the categorisation of changes as exogenous or endogenous relative to forms of learning and to the TEL community. This provides direct input to TEL-relevant decisions at all three levels, including economic, political, and research discussions. With a 10-year horizon, we co-develop a portfolio of stakeholder-specific roadmaps and influence maps, to gain insights into fundamentally new forms of Learning, Education and Training activities (LET) and into what makes for effective transfer and scalability. Our collaborative development approach leads to a Multi-perspective Dynamic Roadmap to track, anticipate and manage knowledge about new forms of LET and their impact on TEL. This extends established TEL Roadmapping methods in novel, powerful and cost-effective ways, with high potential for sustainability and for targeting each stakeholder’s goals. Outcomes include well-grounded recommendations on TEL and LET innovations, plus a platform and a sustainable dynamic process that will foster collaboration and consensus-building across specialized communities and stakeholder groups.

Keywords: roadmapping,tel,learning education and training,foresight,learning paradigms,strategic planning,learning technologies,fundamental new forms of learning
Immersive Reflective Experience-based Adaptive Learning (IMREAL)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Digital libraries and content
Action type: Collaborative project
Countries involved: United Kingdom,Ireland,Austria,Germany,Netherlands,Italy
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-10-01
End date: 2013-09-30
Duration (months): 36.0
Total project cost (EUR): 4189183.0
EU funding (EUR): 3219996.0
Participants: 7
Project status: CLOSED

The popularity of immersive simulated environments for experiential learning is growing; they will be part of tomorrow’s learning technologies in the key area of adult training. The major challenge is to effectively align the learning experience in the simulated environment with the real world context and day-to-day job practice. ImREAL provides a new class of cost effective adaptive systems adjusted to adult learners&apos; needs: pioneering a new psycho-pedagogically sound technological approach to seamlessly link the simulated learning experience and real-world job-related experiences; developing a novel conceptual framework -augmented simulated experiential learning- enabling adaptive services to augment simulated learning by leveraging the connection with the real world; delivering a new open framework of intelligent services which can be plugged in to simulated environments to enhance self-regulated learning. The ImREAL framework exploits and significantly extends advances in distributed architectures, context modelling, dialogic systems, semantic web, and ontological reasoning, and follows pedagogical models of adult self-regulated learning to deliver: evolving model of real world job activities, linked to storytelling and semantic content augmentation; extended model of the learner and context, aligning experiences in the simulated environment and the real-world; affective meta-cognitive scaffolding to motivate and engage learners and promote self reflection, self evaluation and self awareness. Framework validation will be in the high-impact domain of interpersonal communication with multi-cultural awareness, linked to key skills increasingly required in organisations &amp; businesses. User trials will examine how ImREAL augments learners’ and trainers’ experiences by improving the learners’ interpersonal skills and abilities to set learning strategies and goals, and by enhancing trainers’ awareness of real job practice &amp; training needs.

Keywords: adaptive learning,immersive environments
Engineering Proprioception in Computing Systems (EPICS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and emerging technologies
Action type: Collaborative project
Countries involved: Germany,United Kingdom,Norway,Austria,United Kingdom,Germany,Switzerland,Austria
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-09-01
End date: 2014-08-31
Duration (months): 48.0
Total project cost (EUR): 6670551.0
EU funding (EUR): 4995379.0
Participants: 8
Project status: CLOSED

The EPiCS project aims at laying the foundation for engineering the novel class of proprioceptive computing systems. Proprioceptive computing systems collect and maintain information about their state and progress, which enables self-awareness by reasoning about their behaviour, and self-expression by effectively and autonomously adapt their behaviour to changing conditions. Concepts of self-awareness and self-expression are new to the domains of computing and networking; the successful transfer and development of these concepts will help create future heterogeneous and distributed systems capable of efficiently responding to a multitude of requirements with respect to functionality and flexibility, performance, resource usage and costs, reliability and safety, and security. Innovations from EPiCS are based on systematic integration of research in concepts and foundations for self-aware and self-expressive systems with novel hardware/software platform technologies and architectures for engineering autonomic compute nodes and networks. EPiCS drives and validates the research by the requirements of three challenging application domains that cover both high-end computers and embedded systems, as well as embeddings into technical and non-technical contexts.

Keywords: self-awareness,autonomous computing,heterogeneous computer architectures,autonomic networking
SOFTWARE PLATFORM FOR INTEGRATION OF ENGINEERING AND THINGS (SPRINT)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trustworthy network and service infrastructures
Action type: Collaborative project
Countries involved: United Kingdom,Israel,Estonia,Italy,Germany,Sweden
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-10-01
End date: 2014-02-28
Duration (months): 41.0
Total project cost (EUR): 3466477.0
EU funding (EUR): 2149834.0
Participants: 7
Project status: CLOSED

Systems Engineering has impact on VERY large markets, e.g., electronics embedded in products such as automobiles has a market size 100x the size of the desktop market. Improving its efficiency and competitiveness can be of fundamental importance for the European industry as the functional and non functional requirements on future generation products become gradually unmanageable due to their ever increasing complexity. Industries such as Telco service providers, Retail and Financial Services exploit the Internet in new and creative ways that dramatically increase efficiency and revenues. The system engineering industry has not been able to unleash this potential in the design and test of its products. In this project we propose to leverage the concept of Internet of Things, establishing the foundation for the Internet of System Engineering. Based on an Internet-like service infrastructure the SPRINT Networked Environment will provide the virtual blending via Internet of all &quot;things&quot; pertaining to a complex system: sensors, actuators, processing elements, system design tools and models and design teams that are in general spread over different geographical locations. The platform will include novel early verification approaches that involve virtual integration of mathematical models of components to alleviate the problem of late error discovery while supporting the entire cycle of product development: design, integration, verification and deployment. This research will open a new vista on the use of Internet of Things that may change radically the way in which systems are designed and tested.

Keywords: internet of things,internet of system engineering
Large scale information extraction and integration infrastructure for supporting financial decision making (FIRST)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Digital libraries and content
Action type: Collaborative project
Countries involved: Spain,Germany,Slovenia,Germany,Germany,Germany,Italy
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-10-01
End date: 2013-09-30
Duration (months): 36.0
Total project cost (EUR): 4594661.0
EU funding (EUR): 3024935.0
Participants: 9
Project status: CLOSED

The FIRST project provides a large-scale information extraction and integration infrastructure that supports non-ICT skilled end users for on-demand financial information access and execution of financial market analyses. Innovations in FIRST are: information extraction from unreliable semi-structured sources on a massive scale and in near real-time; automatic reuse of existing ontologies, large-scale ontology learning, and advanced decision models making use of semantic attributes. The FIRST Decision Support Infrastructure enables end-users to configure, deploy, and execute financial decision models with associated information channels. The FIRST Ontology Infrastructure provides tools for semi-automatically creating and maintaining domain knowledge models. The FIRST Semantic Information Extraction System addresses noise, uncertainty, and semantic interpretation of information sources. The FIRST Information Integration Infrastructure consolidates information from very large heterogeneous information sources. FIRST validates its innovations by three complementary use cases of market surveillance, investment management, and online retail banking and brokerage. The consortium comprises for each solution providers, data sources, and end users. FIRST implements a systematic strategy for scaling its methods and software infrastructure to the processing of massive amounts of information in real-time by three steps: (1) functional prototype, (2) scaling for non time-critical processing of massive historical data, and (3) scaling for massive live streams of structured feeds, textual news wire feeds, as well as semi-structured Web information in real-time. The impact is ensured through an active open source strategy which (1) bases all basic software components in the fields of ontology learning, information extraction, information integration, and decision support on existing open source software and (2) releases FIRST software as open source software.

Keywords: large-scale information management,semantic information extraction,information integration,ontology learning,financial decision support
Secure and Trustworthy Composite Services (ANIKETOS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trustworthy network and service infrastructures
Action type: Collaborative project
Countries involved: Norway,Spain,Italy,France,United Kingdom,Hungary,Spain,Ireland,Greece,Germany,Austria
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-08-01
End date: 2014-05-31
Duration (months): 46.0
Total project cost (EUR): 13908219.0
EU funding (EUR): 9600000.0
Participants: 20
Project status: CLOSED

The Future Internet will provide an environment in which a diverse range of services are offered by a diverse range of suppliers, and users are likely to unknowingly invoke underlying services in a dynamic and ad hoc manner. Moving from today’s static services, we will see service consumers that transparently mix and match service components depending on service availability, quality, price and security attributes. Thus, the applications end users see may be composed of multiple services from many different providers, and the end user may have little in the way of guarantee that a particular service or service supplier will actually offer the security claimed. ANIKETOS will help establish and maintain trustworthiness and secure behaviour in a constantly changing service environment. The project will align existing and develop new technology, methods, tools and security services that support the design-time creation and run-time dynamic behaviour of composite services, addressing service developers, service providers and service end users. ANIKETOS will provide methods for analysing, solving, and sharing information on how new threats and vulnerabilities can be mitigated. A platform will be constructed for creating and maintaining secure and trusted composite services. Specifications, best practices, standards and certification work related to security and trust of composite services will be promoted for inclusion in European reference architectures. Our approach to achieving trustworthiness and security of adaptive services will take account of socio-technical aspects as well as basic technical issues. The consortium consists of large industrial and research players in the field, including end user partners with specific domain competence related to three case studies planned in the project. The project duration will be 46 months with an overall budget of 14 M€ and a grant of 9.6 M€.

Keywords: trustworthiness,secure service composition,adaptation,threat response,end user assurance