Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Reflecting Knowledge Diversity (RENDER)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Digital libraries and content
Action type: Collaborative project
Countries involved: Germany,Slovenia,Bulgaria,Spain,Ireland,Austria,Germany
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-10-01
End date: 2013-09-30
Duration (months): 36.0
Total project cost (EUR): 4432086.0
EU funding (EUR): 2957914.0
Participants: 7
Project status: CLOSED

The Web has proved to be an unprecedented success for facilitating the publication, use and exchange of information, at planetary scale, on virtually every topic, and representing an amazing diversity of opinions, viewpoints, mind sets and backgrounds. Its design principles and core technological components have lead to an unprecedented growth and mass collaboration. This trend is also finding increasing adoption in business environments. Nevertheless, the Web is also confronted with fundamental challenges with respect to the purposeful access, processing and management of these sheer amounts of information, whilst remaining true to its principles, and leveraging the diversity inherently unfolding through world wide scale collaboration. RENDER will engage with these challenges by developing methods, techniques, software and data sets that will leverage diversity as a crucial source of innovation and creativity, whilst providing enhanced support for feasibly managing data at very large scale, and for designing novel algorithms that reflect diversity in the ways information is selected, ranked, aggregated, presented and used. RENDER’s information management solution will scale to very large amounts of data and hundreds of thousands of users, but also to a plurality of points of views and opinions. This will be demonstrated through the usage of realistic data sources with billions of items; through open source extensions to popular communication and collaboration platforms (MediaWiki, WordPress); and through three high-profile case studies. RENDER will help to realize a world where information is acquired and shared in a fundamentally different manner than the consensual approach promoted by movements such as Web 2.0, and where communication and collaboration across the borders of social, cultural or professional communities are truly enabled via advanced Web technology, supporting one of the credos of European society: “United in diversity”.

Keywords: knowledge diversity,diversity mining,sentiment analysis,diversity representation,diversity-aware information management,web 2.0,collaboration,wikipedia
Risk and Opportunity management of huge-scale BUSiness communiTy cooperation. (ROBUST)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Digital libraries and content
Action type: Collaborative project
Countries involved: Germany,Germany,Israel,Ireland,United Kingdom,Germany,France,United Kingdom,Poland,Ireland
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-11-01
End date: 2013-10-31
Duration (months): 36.0
Total project cost (EUR): 10323562.0
EU funding (EUR): 6860500.0
Participants: 10
Project status: CLOSED

Online communities generate major economic value and form pivotal parts of corporate expertise management, marketing, product support, CRM, product innovation and advertising. Communities can exceed millions of users and infrastructures must support hundreds of millions discussion threads that link together billions of posts. Current solutions fail to meet current challenges of scale and growth, let alone support for understanding and managing the business, social and economic objectives of the users, providers and hosts involved. Extensive research into novel solutions is required to deal with both the large-scale data management and analysis tasks as well as to understand and manage complex user behaviors and ecosystems in online business communities. ROBUST will create models and methods for describing, understanding and managing the users, groups, behaviours and needs of online communities. A highly scalable cloud and stream-based data management infrastructure will handle the real time analysis of large volumes of community data. Simulation and visualisation services will support detailed understanding, prediction and exploration of possible actions. A risk management framework will combine these tools within a methodology for the detection, tracking and management of both opportunities and threats to online community prosperity. Live industrial testbeds from SAP and IBM provide practical grounding and serve to assess project success. Applications include online communities in internet, extranet and intranet settings addressing customer support, knowledge sharing, and hosting services. The variety of testbeds will ensure generality of our approach as well as place stringent requirements on data volumes, scalability and real-time analysis. A virtual centre of excellence will promote the project results and stimulate engagement with the wider community. An exploitation strategy targeted at widespread take-up and use will assure long-term sustainability.

Keywords: risk and opportunity management,online community management,cloud based data management,large scale data processing,community analysis tools,polity,politics,policy
Networking innovations Over Virtualized Infrastructures (NOVI)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trustworthy network and service infrastructures
Action type: Collaborative project
Countries involved: Greece,Switzerland,France,Italy,Netherlands,Spain,Germany,France,Hungary,Poland,Germany
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-09-01
End date: 2013-02-28
Duration (months): 30.0
Total project cost (EUR): 3249732.0
EU funding (EUR): 2363999.0
Participants: 13
Project status: CLOSED

NOVI (Networking innovations Over Virtualized Infrastructures) research concentrates on efficient approaches to compose virtualized e-Infrastructures towards a holistic Future Internet (FI) cloud service. Resources belonging to various levels, i.e. networking, storage and processing are in principle managed by separate yet interworking providers. NOVI will concentrate on methods, information systems and algorithms that will enable users with composite isolated slices, baskets of resources and services provided by federated infrastructures. NOVI will investigate federation at the data, control, monitoring and provisioning planes of constituent FI infrastructures. A user ideally expects seamless and secure access to virtual resources distributed across multiple domains. The complex nature of the federated infrastructure requires adoption of common definitions and abstractions of virtualized resources. Within this context, NOVI will propose and test resource description data models and abstraction algorithms, incorporating Semantic Web concepts. Predictable and accountable service delivery will be further addressed by investigating monitoring and resource brokerage methods in multi-domain virtualized infrastructures. Secure, authenticated access is a key requirement for a service cloud. NOVI will assess options of federated AAI schemas as they pertain to multi-domain FI environments. Some of the models and methods developed within NOVI are expected to enrich the FIRE facility, contributing to the creation of a blueprint of FI federated infrastructures. NOVI’s research will be validated by deploying early prototypes on federating resources of virtualization platforms, initially PlanetLab Europe and FEDERICA. In fact the consortium includes key players of these two e-Infrastructures. NOVI participants (network research laboratories) will act as guinea pigs for experiments, promoting adoption by the wider FI community and substantiating input to standardization bodies.

Keywords: virtualization infrastructures,future internet services,federated platforms,monitoring,abstraction
Design and Exploitation of C-C and C-H Activation Pathways in Asymmetric Catalysis (DECCAPAC)

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: Switzerland
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2011-02-01
End date: 2016-01-31
Duration (months): 60.0
Total project cost (EUR): 1499500.0
EU funding (EUR): 1499500.0
Participants: 1
Project status: CLOSED

Synthesizing organic molecules in high purity with designed properties is of utmost importance for pharmaceutical applications and material- and polymer sciences including the efficient production of enantiopure compounds and the compliance with ecological concerns and sustainability. The efficiency of all reaction classes has improved over the past decades. However, the basic principle and execution did not change: The target molecule is disconnected into donor and acceptor synthons and appropriate functional groups need to be introduced and adjusted to carry out the envisioned coupling. These additional steps decrease the yield and efficiency, are costly in time, resources and produce waste. The introduction of new functionalities by direct C-H or C-C bond activation is a unique and highly appealing strategy. The range of substrates is virtually unlimited, including hydrocarbons, small molecules and polymers. Such dream reactions avoid any pre-functionalization, shorten synthetic routes, make unsought disconnections possible and allow for a more efficient usage of our dwindling resources. Despite recent progress in the activations of inert bonds, narrow scopes, poor reactivities and harsh conditions hamper most general practical applications. Especially, enantioselective activations are a longstanding challenge. The outlined project seeks to address these issues by the development and exploitation of new catalytic enantioselective C-H and C-C functionalizations of broadly available organic substrates, using chiral Rh- and Pd- catalysts, additionally supported by automated screening and computational techniques. These reactions will be then applied in the streamlined synthesis of pharmaceutically relevant scaffolds and of compounds for organic electronics.

Keywords: asymmetric catalysis,rhodium,palladium,c-c activation,c-h activation,reaction mechanism,natural product synthesis
Design and Preparation of Functional Molecules for Quantum Computing and Information Processing (FUNCMOLQIP)

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: Spain
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2011-07-01
End date: 2016-06-30
Duration (months): 60.0
Total project cost (EUR): 1500000.0
EU funding (EUR): 1500000.0
Participants: 1
Project status: CLOSED

The future of Nanotechnology depends inevitably on the creation of molecular devices capable of performing crucial functions. We propose new strategies for the design and synthesis of molecular functional materials based on coordination chemistry, as well as the study of their physico-chemical properties in order to evaluate their relevance in the context of molecular spintronics and electronics. The main rationale underlying these strategies stems from the conviction that the unlimited potential of coordination compounds may be greatly exploited if the processes of self assembly leading to these systems are controlled and manipulated through the careful design of the ligands that will shape their structure and properties. We have designed the synthesis of new families of multinucleating ligands intended to form polynuclear coordination molecules with predetermined structures. Preliminary analysis of their performance has served to identify entries into novel categories of Single Molecule Magnets, SMMs, and Molecular Cluster Pairs, MCPs. The latter are stable molecules that exhibit two quasi independent metallic clusters, which fulfil many of the requirements necessary to act as 2qbit quantum gates for processors in quantum computing. We propose a full synthetic programme aimed at exploiting and expanding this promising avenue toward the fabrication of molecular systems that will be exploited in the context of Quantum Information Processing, QIP. In particular, we have identified from our previous work three classes of MCPs with promising features towards that end. We aim at exploiting the tools that we have created and develop new synthetic resources for the synthesis of robust molecules with the ability to act as 2qbits in QIP based on magnetic nanoclusters.

Keywords: ligand design - quantum computing - bistable materials - functional molecules
Pathogenesis and transmission of influenza virus in pigs (FLUPIG)

Framework: FP7 — Cooperation
Programme: Food, Agriculture and Fisheries, and Biotechnology
Destination: Sustainable production and management of biological resources from land, forest, and aquatic environment
Action type: Collaborative project
Countries involved: Belgium,Italy,United Kingdom,Germany,Netherlands,Poland,United States,Germany,Hong Kong
Call:  (FP7-INFLUENZA-2010, 2010)
Start date: 2010-07-01
End date: 2014-12-31
Duration (months): 54.0
Total project cost (EUR): 6633172.8
EU funding (EUR): 4854452.0
Participants: 10
Project status: CLOSED

FLUPIG aims at a better understanding of the role of pigs in influenza pandemics. Pandemic influenza viruses come from wild birds, but they must adapt to efficient replication and transmission in humans to cause a pandemic. Pigs are considered important intermediate hosts in which avian viruses adapt to mammals before they transmit to humans. However, the exact role of pigs is unclear, as is the nature of the genetic changes that are required for (a) efficient replication of an avian virus in pigs, (b) efficient transmission of avian viruses between pigs and (c) virus transmission from pigs to humans and between humans. The FLUPIG consortium will examine both the role of adaptive mutations and genetic reassortment. In addition, we will study the role of host and environmental factors in adaptation of avian influenza viruses to pigs. The occurrence and severity of a pandemic also depends on the immune status of the human population. The FLUPIG consortium will study the extent of cross-protection between antigenically different influenza viruses of the H1N1 subtype (heterovariant cross-protection), and between influenza viruses belonging to different haemagglutinin subtypes (heterosubtypic cross-protection). We will also study the immune mechanisms required for a broad cross-protection. In addition, we will evaluate the capacity of novel generation vaccines to broaden cross-protection. Most studies will be performed in pigs or other relevant animals, or in explants of the porcine and human respiratory tract, which show maximal similarity to the in vivo situation. Our studies will enable us to advice public health authorities about the role and risk of the pig in the emergence of novel influenza viruses in the human population. Combined with improved surveillance for influenza in animals, effective vaccines and antivirals, this knowledge will be critical to the control of future influenza pandemics.

Keywords: influenza,pathogenesis,transmission,cross protection,pandemic,h1n1,genetic adaptation
TEstbed for Future Internet Services (TEFIS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trustworthy network and service infrastructures
Action type: Collaborative project
Countries involved: France,Italy,United Kingdom,Brazil,France,France,Sweden,Germany,Switzerland,Spain,Greece,Poland,France,France,Germany,China,Spain
Call:  (FP7-ICT-2009-5, 2009)
Start date: 2010-06-01
End date: 2013-02-28
Duration (months): 33.0
Total project cost (EUR): 5214270.0
EU funding (EUR): 3845343.0
Participants: 19
Project status: CLOSED

The flourishing of user driven demand, the heterogeneity of networks, the multiplicity of new devices, all mean that the Internet as we know it is reaching a saturation point. One of the main challenges of Future Internet research is to address the surge in complexity that service and network developers are facing. Building on top of the on-going actions to support large-scale experimentation for Future Internet protocols, TEFIS brings evaluation processes one step further. TEFIS provides an open platform to support experimentations at large-scale of resource demanding Internet services in conjunction with upcoming Future Internet networking technologies and user-oriented living labs. It will act as a single access point to a variety of existing and next generation of experimental facilities. TEFIS outcome will be: • Open platform to integrate and use heterogeneous testbeds based on a connector models, and exposed as a classical service. • Integration of 8 complementary experimental facilities, including network and software testing facilities, and user oriented living labs. • Platform to share expertise and best practices. • Core services for flexible management of experimental data and underlying testbeds resources during the experiment workflow • Single access point to testbeds instrumented with a large number of tools to support the users throughout the whole experiment lifecycle (compilation, integration, deployment, dimensioning, user evaluation, monitoring, etc) and allow them to work together by sharing expertise. A specific action is foreseen via an Open Call to engage new experimentations and to gradually expand TEFIS. Combining the efforts of the software and service industry, the FIRE community and the user-centric Living Labs, TEFIS will foster research and business communities in collaboratively elaborating knowledge about the provisioning of Future Internet services.

Keywords: testbed,network,fire,services,nessi,living lab,future internet,open call,users
Systems Biology of Colorectal Cancer (SYSCOL)

Framework: FP7 — Cooperation
Programme: Health
Destination: Translating research for human health
Action type: Collaborative project
Countries involved: Sweden,United Kingdom,Denmark,Switzerland,Israel,Finland,United States,Spain,Netherlands,United Kingdom,Germany
Call:  (FP7-HEALTH-2010-two-stage, 2010)
Start date: 2011-01-01
End date: 2015-12-31
Duration (months): 60.0
Total project cost (EUR): 16679047.0
EU funding (EUR): 11999996.0
Participants: 11
Project status: CLOSED

Colorectal cancer (CRC) is one of the most common cancers in both males and females, and it is perhaps the best understood of all epithelial tumors in terms of its molecular origin. Yet, despite large amount of work that has concentrated on understanding of colon tumorigenesis, we still do not know the full complement of molecular lesions that are individually necessary – and together sufficient – to cause colorectal cancer. Neither do we understand why some specific mutations that are relatively rare in other tumors (e.g. loss of the APC tumor suppressor) are extremely common in colorectal cancer. We propose here to use the tools of systems biology to develop a quantitative and comprehensive model of colorectal tumorigenesis. The model will include a “wiring diagram” that identifies cell-type specific and oncogenic pathways that contribute to colon tumorigenesis, and explains in molecular detail how a genotype of an individual CRC leads to activation of downstream genes that drive uncontrolled cell growth. This model will subsequently be used to find novel therapeutic targets, to guide genetic screening to identify individuals with elevated risk for developing CRC, and to classify patients into molecular subgroups to select the treatment combination which is optimal for each patient (personalized medicine). The specific objectives of the SYSCOL project are: 1. Identify genetic markers for individual risk using genotyping and sequencing of germline DNA from sporadic and familial CRC cases and controls 2. Identify genes and regulatory elements that contribute to colorectal cancer cell growth 3. Use data from Aims 1-2 to develop a quantitative model for colorectal tumorigenesis 4. Apply the model for identification of high-risk individuals, for molecular classification of the disease, and for identification of novel molecular treatment targets

Keywords: systems biology,disease model,colorectal cancer,gene expression,disease predisposition
Rough path theory, differential equations and stochastic analysis (RPT)

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: Germany
Call:  (ERC-2010-StG_20091028, 2010)
Start date: 2010-09-01
End date: 2016-08-31
Duration (months): 72.0
Total project cost (EUR): 850820.0
EU funding (EUR): 850820.0
Participants: 2
Project status: CLOSED

We propose to study stochastic (classical and partial) differential equations and various topics of stochastic analysis, with particular focus on the interplay with T. Lyons' rough path theory: 1) There is deep link, due to P. Malliavin, between the theory of hypoelliptic second order partial differential operators and certain smoothness properties of diffusion processes, constructed via stochastic differential equations. There is increasing evidence (F. Baudoin, M. Hairer &) that a Markovian (=PDE) structure is dispensable and that Hoermander type results are a robust feature of stochastic differential equations driven by non-degenerate Gaussian processes; many pressing questions have thus appeared. 2) We return to the works of P.L. Lions and P. Souganidis (1998-2003) on a path-wise theory of fully non-linear stochastic partial differential equations in viscosity sense. More specifically, we propose a rough path-wise theory for such equations. This would in fact combine the best of two worlds (the stability properties of viscosity solutions vs. the smoothness of the Ito-map in rough path metrics) to the common goal of the analysis of stochastic partial differential equations. On a related topic, we have well-founded hope that rough paths are the key to make the duality formulation for control problems a la L.C.G. Rogers (2008) work in a continuous setting. 3) Rough path methods should be studied in the context of (not necessarily continuous) semi-martingales, bridging the current gap between classical stochastic integration and its rough path counterpart. Related applications are far-reaching, and include, as conjectured by J. Teichmann, Donsker type results for the cubature tree (Lyons-Victoir s powerful alternative to Monte Carlo).

Keywords: rough path theory,stochastic analysis