Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Supramolecular Chemical Biology Modulation of Protein-Protein Interactions (SUPRACHEMBIO)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Physical and Analytical Chemical sciences
Countries involved: Netherlands
Call:  (ERC-2007-StG, 2007)
Start date: 2008-07-01
End date: 2013-06-30
Duration (months): 60.0
Total project cost (EUR): 1250000.0
EU funding (EUR): 1250000.0
Participants: 1
Project status: CLOSED

This proposal aims to explore the combination of supramolecular chemistry with chemical biology. Supramolecular architectures are proposed for the modulation of protein-protein interactions. Two general themes are outlined; 1) supramolecular chemistry in the cell and 2) supramolecular multivalency. Supramolecular architectures are brought forward as excellent tools to control protein-protein interactions at the cellular level. Supramolecular elements, selectively attached to proteins, are outlined to control protein dimerization and localization. The introduction of different supramolecular elements, either in vitro or in vivo via specific labeling techniques, is part of the plan, including the introduction of supramolecular elements, whose interactions can be reversibly switched with light. With these systems, the temporal control over protein-protein interactions and protein localization can be addressed. Self-assembling multivalent architectures are proposed as optimal scaffolds and flexible systems for recognition and binding of cells. The assembly process of the supramolecular architecture will be steered via interplay with the characteristics of the cellular target and the environment, controlling size, shape and composition. This self-assembling multivalent platform will be applied to control or initiate interactions between different types of surfaces, such as cells, antigens and chips. The self-assembling scaffolds additionally provide an ideal platform to be combined with proteins, allowing the generation of ordered protein wires, with control over orientation and distances between proteins. The combination of supramolecular chemistry with chemical biology is envisioned to enable the modulation of protein-protein interactions and thus provide entries to this long standing fundamental challenge.

Keywords: protein-protein interactions,self-assembly
Neural correlates of spatial memory in children and adults (SPATIAL MEMORY)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Environment and society
Countries involved: Netherlands
Call:  (ERC-2007-StG, 2007)
Start date: 2008-10-01
End date: 2013-09-30
Duration (months): 60.0
Total project cost (EUR): 873476.0
EU funding (EUR): 873476.0
Participants: 1
Project status: CLOSED

In everyday life we navigate through known and unknown spatial environments. We have to learn how to find our way back, make a detour around a barrier or find a shortcut. The ability to remember the spatial surroundings and to communicate about space has been crucial to human adaptation and survival. The proposed research project investigates the development of spatial skills, the underlying neural correlates of spatial representations and spatial wayfinding mechanisms, spatial language and their linkage. Recent comparative studies have shown that human infants early in their cognitive development share a spatial memory strategy with all non-human great apes. This strategy preference for spatial cues in young human infants changes during the first years in childhood into a preference for a feature based strategy. Recent functional Magnetic Resonance Imaging (fMRI) studies have shown the enormous importance of spatial cues for successful wayfinding. I will push forward these findings and investigate how spatial cues are learned and represented during child and adulthood and later used for actual navigation. The role of language for spatial strategies to date is entirely unknown. Language could play a key role in spatial strategy switch during childhood as well as affect wayfinding strategies for children and adults. The combination of different methods, FMRI, EEG, measurement of eye-movements, response times as well as navigational behaviour collected during initial and repeated spatial cue learning and wayfinding will provide answers to these questions. In sum, the proposed research provides new insight into the nature of human spatial thinking for children and adults.

Keywords: spatial memory,spatial language,development,fmri,eeg
Bringing The Benefits Of Research To AgroFood SMEs of the Regions of Central Macedonia, Puglia and Pazardjik (RAF- REGIONS)

Framework: FP7 — Capacities
Programme: Regions of Knowledge
Destination: Transnational cooperation between regional research-driven clusters
Action type: Coordination and support actions
Countries involved: Greece,Italy,Bulgaria,Bulgaria,Bulgaria
Call:  (FP7-REGIONS-2007-1, 2007)
Start date: 2008-02-01
End date: 2010-07-31
Duration (months): 30.0
Total project cost (EUR): 1146679.04
EU funding (EUR): 879396.35
Participants: 12
Project status: CLOSED

The overarching objective of RAF- REGIONS is to increase the overall capacity of the Regions of Central Macedonia (Greece), Puglia (Italy) and Pazardjik (Bulgaria) in enhancing science and technology based economic development, focusing on the AgroFood Sector. The specific project objectives are: -To support the development and operation of innovative “Research-driven Clusters” in the AgroFood sector of the Regions of Central Macedonia, Puglia and Pazardjik -To enable the Regions to attract more and better RTD investments, to enhance their capacity to participate in FP7 and CIP and to mobilise national, regional and private sector financial possibilities -To promote synergies between regional and research policies at each participating Region and to produce regional research strategies for the AgroFood sector -To foster transnational cooperation in the AgroFood sector between the project partners -To assist the AgroFood sector SMEs of the participating Regions in becoming more competitive, by adopting new technologies developed through research -To facilitate the exchange of best practices between the partners and adapting them to their needs -To mentor the participating partners, through mutual exchange of experience and best practices -To cooperate with relevant projects and initiatives developed in other European Regions The project partners (Regional Authorities, SME Associations, Research Entities and Technology Consultants) already comprise regional research-driven-clusters and have the necessary experience and the institutional role to intervene and have a direct impact on research policies for the AgroFood sector. The project activities (including mapping and analysis of research actors, SME technology audits, SWOT analysis, training workshops and trips, info days, a conference, development of Joint Action Plan for AgroFood RTD, dissemination and exploitation activities) address directly the objectives of Call FP7-REGIONS-2007-1. In addition, the participation of RAF- REGIONS in the FOOD CLUSTERING Initiative will facilitate its main ambition to contribute to strengthening EU Food research driven clusters by interregional cooperation.

Keywords: agrofood smes research greece bulgaria italy region cluster innovation rtd fp7 cip structural funds joint action plan
GOSSPLE: A Radically New Approach to Navigating the Digital Information Universe (GOSSPLE)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Materials and Synthesis
Countries involved: France
Call:  (ERC-2007-StG, 2007)
Start date: 2008-09-01
End date: 2013-08-31
Duration (months): 60.0
Total project cost (EUR): 1250000.0
EU funding (EUR): 1250000.0
Participants: 1
Project status: CLOSED

Over the past decade, distributed computing has experienced a dramatic scale shift, with respect to size, geographical spread and volume of data. Meanwhile, Internet has moved into homes, creating tremendous opportunities to exploit the huge amount of resources at the edge of the network. Search engines that navigate this universe are astonishingly powerful and rely on sophisticated tools to scan and index the network. However, the network contains far more than just the pages such systems can index. There is a tremendous potential in leveraging these new kinds of information to empower individuals in ways that Internet search will never be able to offer. This reveals striking evidence that navigating the Internet goes beyond traditional search engines. Complementary and different means to navigate the digital world are now required. The objective of GOSSPLE is to provide an innovative and fully decentralized approach to navigate the digital information universe by placing users affinities and preferences at the heart of the search process. GOSSPLE will turn the network into a self-organizing federation of overlapping sub-networks, capturing on the fly the interactions and affinities observed in real life and fully leveraging the huge resource potential available on edge nodes. GOSSPLE will provide a set of fully decentralized algorithms to efficiently search, dynamically index and asynchronously disseminate information to interested users based on their preferences and (implicit) recommendations. Building up upon the peer to peer communication paradigm and harnessing the power of gossip-based algorithms, GOSSPLE will yield a disruptive way of programming distributed collaborative applications. Our goal is ambitious: impose the GOSSPLE approach as a fully decentralized, collaborative and scalable, yet complementary, alternative to traditional search engines to fully exploit the capabilities of the digital universe.

Keywords: peer-to-peer,gossip based algorithms,distributed algorithms,collaborative networks,self-* protocols,autonomic computing
Renewable Energy Resources - a solution for a sustainable development of two European Regions (RENERG EUREG)

Framework: FP7 — Capacities
Programme: Regions of Knowledge
Destination: Transnational cooperation between regional research-driven clusters
Action type: Coordination and support actions
Countries involved: Romania,Romania,Germany,Germany,Romania
Call:  (FP7-REGIONS-2007-1, 2007)
Start date: 2008-01-01
End date: 2010-12-31
Duration (months): 36.0
Total project cost (EUR): 334760.8
EU funding (EUR): 295000.0
Participants: 11
Project status: CLOSED

The main objective of this project is to enhance the capacity of CENTRU and Lusatia regions and of its stakeholders in planning and using the local and regional renewable resources as a solution for a sustainable economic development, in the context of the new knowledge-based economy, by promoting the innovation and strong connections between research and economic environment as a regional policy. The applicant Consortium is an association of two research clusters from Brandenburg-Germany and CENTRU region of Romania, representing local and regional authorities, research institutes and companies with activities in the field of renewable energies. The project will develop five work packages targeting the following objectives: - Bring the benefits of research close to the business environment by developing strong links between research institutions, local authorities and companies - Strengthening the regional stakeholders research and innovation capacity and technological transfer in the benefit of the local economic development - To ensure inclusion of regional research and innovation policy in other regional plans and programmes (i.e. Regional Development Plan, Regional Action Plan for Environment, etc). - Develop a common framework for know-how transfer and co-operation among partners in the research field in order to assure a better absorption of national and EU funds for innovation. Regional clusters will be set up in both regions in the field of renewable energies and activities for knowledge transfer from the German partners to the CENTRU region stakeholders will be organized. Both partner clusters will carry out a set of analysis in order to identify the regional potentials in renewable energies and strategies in this field will be elaborated together with a joint action plan.

Keywords: renewable energy,clusters,cooperation,european regions,regional stakeholders,regional consensus,regional strategy,joint action plan
Complexity and predictability of epidemics: toward a computational infrastructure for epidemic forecasts (EPIFOR)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Immunity and infection
Countries involved: Italy
Call:  (ERC-2007-StG, 2007)
Start date: 2008-07-01
End date: 2013-12-31
Duration (months): 66.0
Total project cost (EUR): 684000.0
EU funding (EUR): 684000.0
Participants: 1
Project status: CLOSED

The advantage provided by the increasingly interconnected nature of our world has generated a dangerous by-product: the possibility for rapid worldwide spread of epidemics. The ability to forecast epidemic evolution – as much accurately as we can now do for weather conditions – would be of invaluable help in fighting the emergence or re-emergence of viruses such as SARS, avian influenza, HIV-AIDS, Lyme disease, West Nile virus, or more recently the threat of an influenza pandemic. With the advent of interdisciplinary tools and methods, the latest modeling approaches for the study of the spread and control of infectious diseases witness the emergence of a new area of research – computational epidemiology – that integrates mathematical and statistical epidemiology with computational sciences and informatics tools to conduct scenario analysis in public health domain. While few research groups have begun to use large scale simulations for epidemic modeling, many fundamental theoretical questions are left unanswered. How does the complex nature of real world affect our predictive capabilities in the realm of computational epidemiology? What are the fundamental limits in epidemic evolution predictability with computational modeling? How do they depend on the level of accuracy of our description and knowledge of the state of the system? The present project aims at developing a vigorous research effort along two main directions corresponding to i) the formulation of models for the basic theoretical understanding of multi-scale and agent based approaches and their predictive power; ii) the development of computational approaches and data integration tools that will provide a realistic modeling framework for the analysis of observed epidemic outbreaks and the forecast of patterns of emerging diseases. The ERC Starting Independent Researcher Grant offers an ideal opportunity to start a structured program in this direction, aimed at providing fundamental advances in the field.

Keywords: computer simulations,disease outbreaks,stochastic processes,predictions,gis,transportation
Innovative compatible discretization techniques for Partial Differential Equations (GEOPDES)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Mathematical foundations
Countries involved: Italy
Call:  (ERC-2007-StG, 2007)
Start date: 2008-07-01
End date: 2013-06-30
Duration (months): 60.0
Total project cost (EUR): 750000.0
EU funding (EUR): 750000.0
Participants: 1
Project status: CLOSED

Partial Differential Equations (PDEs) are one of the most powerful mathematical modeling tool and their use spans from life science to engineering and physics. In abstract terms, PDEs describe the distribution of a field on a physical domain. The Finite Element Method (FEM) is by large the most popular technique for the computer-based simulation of PDEs and hinges on the assumption that the discretized domain and field are represented both by means of piecewise polynomials. Such an isoparametric feature is at the very core of FEM. However, CAD software, used in industry for geometric modeling, typically describes physical domains by means of Non-Uniform Rational B-Splines (NURBS) and the interface of CAD output with FEM calls for expensive re-meshing methods that result in approximate representation of domains. This project aims at developing isoparametric techniques based on NURBS for simulating PDEs arising in electromagnetics, fluid dynamics and elasticity. We will consider discretization schemes that are compatible in the sense that the discretized models embody conservation principles of the underlying physical phenomenon (e.g. charge in electromagnetism, mass and momentum in fluid motion and elasticity). The key benefits of NURBS-based methods are: exact representation of the physical domain, direct use of the CAD output, a substantial increase of the accuracy-to-computational-effort ratio. NURBS schemes start appearing in the Engineering literature and preliminary results show that they hold great promises. However, their understanding is still in infancy and sound mathematical groundings are crucial to quantitatively assess the performance of NURBS techniques and to design new effective computational schemes. Our research will combine competencies in different fields of mathematics besides numerical analysis, such as functional analysis and differential geometry, and will embrace theoretical issues as well as computational testing.

Keywords: numerical methods for pdes,variational techniques,compatible discretizations,isogeometric analysis
LISA Gravitational Wave Astrophysics from Simulations of Inspirals of Compact Objects into Massive Black Holes (LISASIMICO)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Re-integration Grants
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Spain
Call:  (FP7-PEOPLE-2007-4-3-IRG, 2007)
Start date: 2007-09-03
End date: 2011-09-02
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

LISA, the Laser Interferometer Space Antenna, is a joint mission between the European Space Agency and the National Aeronautics and Space Administration (USA) scheduled to fly in about 10 years. Its primary scientific goal is to carry out low-frequency gravitational wave astronomy, opening in this way a completely new window to the exploration of the universe that is expected to lead to dramatic discoveries in astrophysics and cosmology, as well as tests of the validity of general relativity. The main aim of this proposal is to contribute to the development of LISA science by focusing on the study of one of the main LISA targets: The inspiral, driven by gravitational radiation emission, of compact objects into supermassive black holes sitting at the galactic centers. Of particular relevance are the so-called extreme-mass-ratio inspirals (EMRIs). The main goals of the research planned in this proposal are: (i) Simulations of EMRIs and other Inspirals: In order to extract the signals produced by these systems, which will be buried in instrumental noise and the gravitational wave foreground, and later extract relevant physical information from them, we need to have an a priori theoretical knowledge of the gravitational waveforms with a certain degree of precision. This knowledge can be obtained from simulations of these inspirals using perturbative general relativity. (ii) LISA phenomenology: To explore possible astrophysical scenarios that can lead to inspirals inside the LISA band, and to investigate the type and quality of the information that could be extracted from different inspiral mechanisms.

Keywords: physical sciences
New approaches to assess the responses of phytoplankton to Global Change (PHYTOCHANGE)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Starting grants
Action type: Support for frontier research (ERC)
Panel: Products and process engineering
Countries involved: Germany
Call:  (ERC-2007-StG, 2007)
Start date: 2008-06-01
End date: 2013-05-31
Duration (months): 60.0
Total project cost (EUR): 1399984.0
EU funding (EUR): 1399984.0
Participants: 1
Project status: CLOSED

Phytoplankton are responsible for a major part of global primary production due to the immensity of the marine realm and are heavily implicated in global biosphere equilibriums by driving elemental chemistry in surface oceans, exporting massive amounts of C to sediments and influencing ocean-atmosphere gas exchange. Climate change will alter the marine environment within the next 100 years. Increasing atmospheric CO2 has already caused higher aquatic pCO2 levels and lower pH (ocean acidification) and rising temperature will impact ocean stratification, and hence light and nutrient conditions. Phytoplankton will be affected by these Earth system transformations in many ways, altering the complex balance of biogeochemical cycles and climate feedback mechanisms. Prediction of how phytoplankton may respond at the cellular and ecosystem levels is a key challenge in global change research. The proposed project will investigate physiological reactions of 3 important phytoplankton groups (diatoms, coccolithophores, cyanobacteria) to environmental factors which will be affected by global change (pCO2/pH, light, nutrients). Using an innovative combination of cutting-edge mass-spectrometric and fluorometric techniques, a suite of in vivo assays will be applied in lab and field experiments to develop a process-based understanding of cellular responses. Specific biogeochemical issues will be addressed since diatoms are the main drivers of vertical organic C fluxes, coccolithophores regulate ocean alkalinity through calcification, and N2-fixing cyanobacteria control availability of reactive N. These are relevant in different marine zones, from Southern Ocean to equatorial oligotrophic waters. Data will significantly improve understanding of key processes in phytoplankton and will be exploited in multidisciplinary contexts ranging from molecular to ecological processes and, through cellular and ecosystem models, to predictions of marine biosphere responses to future global change

Keywords: global change,co2,phytoplankton,photosynthesis,calcification,n2-fixation,mims,gas exchange