Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Graph Convergence and Stochastic Processes on Graphs (GRAPHCONVSTOCH)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Intra-European Fellowships
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Hungary
Call:  (FP7-PEOPLE-2013-IEF, 2013)
Start date: 2015-02-01
End date: 2017-01-31
Duration (months): 24.0
Total project cost (EUR): 190113.6
EU funding (EUR): 190113.6
Participants: 1
Project status: CLOSED

The proposal covers the following interconnected topics: 1. Benjamini-Schramm limits of finite graphs and stochastic processes on graphs; 2. continuity and testability of graph parameters; 3. factors of Bernoulli i.i.d. labellings; 4. graph sequences from groups. The central object for the proposed research is sequences of sparse graphs (either coming from some random graph model or from Cayley graphs) and their Benjamini-Schramm limits. Convergence of optimal values of graph parameters (and the stochastic processes that lie behind them) are to be studied. A typical question is how the limit is related to the optimal value arising as a factor of i.i.d.. The context of such questions is not only general convergent graph sequences and sequences of random regular graphs but also other models (e.g. scale-free graph families). Finally, questions on the asymptotic properties of balls in Cayley graphs are to be addressed.

Keywords: benjamini-schramm limit,factor of iid,testability,group invariants
Self-organizing Performance Prediction and Optimization for Large-scale Software Systems (SPANDO)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Intra-European Fellowships
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom
Call:  (FP7-PEOPLE-2013-IEF, 2013)
Start date: 2014-12-01
End date: 2016-11-30
Duration (months): 24.0
Total project cost (EUR): 221606.4
EU funding (EUR): 221606.4
Participants: 1
Project status: CLOSED

The scope of SPANDO (Self-organising Performance Prediction and Optimisation for Large-scale Software Systems) is to contribute to the development of decentralised self-optimising software systems. The project focuses on the conceptual foundations and engineering techniques on the use of run-time performance prediction models and self-organising adaptation strategies to achieve a decentralised performance optimisation of the system. Current research in the area of self-adaptive systems is moving towards solutions to adaptation problems with the aim to engineer systems that can quickly respond to changes without any human intervention. As systems are becoming larger and more complex, the adoption of solutions that are both decentralised and scalable is becoming increasingly important. Up to now, this research area has focused on producing approaches to support the actuation of decentralised adaptation actions, however the problem of deciding when and how to execute them is still challenging in a decentralised setting. SPANDO proposes to solve such problem by using performance prediction models that are being studied in operations research and applied probability research. The most common prediction models that are already being used at run-time are based on Continuous-Time Markov Chains. However, these existing techniques have scalability limitations due to the state-space explosion of the CTMC formalism. The SPANDO project will overcome these limitations by studying a new class of performance prediction models that can be evaluated in a decentralised way, without any explicit coordination. The proposed models will use formalisms based on ordinary differential equations, such as fluid and mean-field analysis, and have the particularity of being independent of the size of the system. The results of the evaluations of these models will then be used at run-time as inputs for proper decentralised adaptation actions.

Keywords: g115 systems and software,g113 parallel and distributed computing
Gender and Work/Life Stress among National Parliamentarians in Comparison (GENDER ELITE)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Intra-European Fellowships
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom
Call:  (FP7-PEOPLE-2013-IEF, 2013)
Start date: 2014-06-01
End date: 2016-05-31
Duration (months): 24.0
Total project cost (EUR): 221606.4
EU funding (EUR): 221606.4
Participants: 1
Project status: CLOSED

Are gender inequalities in levels of work/life stress apparent among those positioned at the powerful top of society’s hierarchy, and if so, why? This proposal outlines a research project that investigates the mechanisms behind gender and individual-level work/life stress among political elites (national parliamentarians) using a comparative perspective between three country cases: UK, Sweden and Germany. The research project will build on empirical investigations from a self-collected survey data material covering UK, Swedish and German national parliamentarians. An original, micro-level survey data set that provides information about subjective work/life stress (and background variables) and covers the finite population of British national parliamentarians is to be collected as part of this research project. An original micro-level data set covering Swedish and German national parliamentarians already exists (collected as part of my previous research), but the variables related to the topic of work/life stress have never before been analyzed. Parts of this political elite data will further be matched to existing, large-scale databases from the European Social Survey, consisting of representative samples of general citizens of the three nations, for the purpose of reference comparisons between the political elites and average citizens of respective country. The research project will be carried out by the applicant at Birkbeck, University of London (UK), Department of Politics, Centre for the Study of British Politics and Public Life, under the supervision of Professor Joni Lovenduski.

Keywords: sociology,gender,elite,parliament,political sociology,work,work/life balance,inequality,politics of gender,survey research,comparative
Cellular Network based Device-to-Device Wireless Communications (CODEC)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Outgoing Fellowships
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom
Call:  (FP7-PEOPLE-2013-IOF, 2013)
Start date: 2014-12-15
End date: 2016-12-14
Duration (months): 24.0
Total project cost (EUR): 264722.2
EU funding (EUR): 264722.2
Participants: 1
Project status: CLOSED

Nowadays, the rapid growth of smartphones provides a great platform and applications for mobile users to connect and interact with other users in new and interesting ways, such as socialising and playing video games with others. These kinds of applications also provide chances for mobile users to interact with people in close proximity by enabling users to discover others based on their physical proximity. However, in the existing wireless cellular networks, all data traffic must go through base stations regardless of the location of the user equipment (UE), even if two UEs are very close. When UEs are at the edge of a cell, the transmit power must be large and the data rate is low. One way to overcome this problem and efficiently handle localised group communication is to enable direct communication between UEs, which is called device-to-device (D2D) communication. D2D as an underlay to cellular networks has been considered as an important component in future cellular systems. This project, CODEC, focuses on resource management (RM) in cellular D2D communications, which is indispensable for achieving spectral and energy efficiency and providing QoS to different applications. Different from current researches, CODEC envisions that two use cases, direct D2D and D2D relay, should be considered in RM in D2D communications to support proximity-based applications including unicast, multicast and broadcast applications. In order to reflect different applications and use cases in RM for cellular D2D communications, as the first work item, the key novelty of CODEC is that a generic analytical framework will be proposed to analyse the performance of cellular D2D communications under both user cases with various proximity-based applications in a systematic way. Afterwards, based on the analytic framework, RM schemes are developed in a single cell and then extended to multicellular networks in which fractional frequency reuse is adopted to improve the spectrum efficiency.

Keywords: device-to-device communication,cellular network,resource management,generic analytic framework
Fundamental breakthroughs in Lithium-Air Batteries (FUNLAB)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Life-long training and career development
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom
Call:  (FP7-PEOPLE-2013-CIG, 2013)
Start date: 2014-04-25
End date: 2018-04-24
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

Lithium-air batteries are a promising alternative to power the future electric vehicles. However, major improvements at the level of the fundamentals of the reactions will be required in order to improve their practical specific energy and rechargeability. Some of the challenges include: i) the instability of organic electrolytes in the presence of the superoxide radical formed as an intermediate in the reduction of oxygen, and ii) passivation of the electrode surface by the insoluble reaction products (lithium oxide and peroxide) leading to slow reaction kinetics. I plan to address these issues by means of a rational screening of soluble redox catalysts capable of decreasing the lifetime of the superoxide radical by rapidly transferring a second electron to the oxygen molecule. Such soluble redox catalysts will also act as shuttles, displacing the formation of insoluble reaction products from the electrode surface to the electrolyte, thus avoiding electrode passivation. The catalysts will be tested in selected electrolytes with good chemical stability. Redox active electrolytes will also be studied as they can potentially lead to very fast electron transfer reactions. Innovative approaches to avoid electrode passivation will be also investigated, including doping strategies to increase the conductivity of lithium oxides and peroxides and the application of ultrasound to erode the passivating layers on the electrode and enhance mass transport.

Keywords: lithium-air batteries,electrocatalysis,redox mediators and shuttles,oxygen reduction and evolution,in-situ characterization,electrode passivation,doped semiconductors,acoustoelectrochemistry
Re-thinking the fundamentals of vehicular networking with transportation theory and complex network science (REFLEX)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Life-long training and career development
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Italy
Call:  (FP7-PEOPLE-2013-CIG, 2013)
Start date: 2014-04-01
End date: 2018-03-31
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

ReFleX aims at characterizing in a comprehensive manner the topological features of large-scale urban vehicular networks built on top of DSRC-based V2V and V2I communication technologies. To that end, the project adopts a multidisciplinary approach, bringing together tools from vehicular networking, wireless communications, transportation theory, and complex network science. The study will unveil the (yet largely unknown) vehicular network connectivity properties induced by a pervasive adoption of DSRC technolgies in urban environments. That way, ReFleX will evidence the strengths, weaknesses and overall capabilities of large-scale V2V/V2I communication systems, including their actual availability and reliability. In turn, the understanding of the basic features of the vehicular network topology will allow testing current protocols and architectures intended for DSRC-based networks, by verifying their fitness to the connectivity dynamics of large-scale urban vehicular networks. ReFleX will then take an original bottom-up approach to protocol desgin that puts the network connectivity at the core of the process, and it will propose enhancements and novel network solutions that adapt to the actual features of the network topology.

Keywords: vehicular networks,vehicular mobility,network topology and connectivity,network protocols,vehicle-to-vehicle (v2v),vehicle-to-infrastructure (v2i)
Autonomous Computational Game Designers - Transforming Exploration via Deep Learning, Novelty Search and Emotive Modelling (AUTOGAMEDESIGN)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Life-long training and career development
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Malta
Call:  (FP7-PEOPLE-2013-CIG, 2013)
Start date: 2014-03-01
End date: 2018-02-28
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

AutoGameDesign aims to answer whether autonomous creative systems are able to generate valuable, novel and surprising outcomes. AutoGameDesign explores how computational creators can be equipped with transformed exploratory creativity for the generation of novel and valuable outputs and how surprise can be modelled computationally, as well as drive the search for and evaluate creativity. Advanced machine learning methods are fused with computational predictors of emotive creativity yielding entirely new ways of searching within the creative search space. The computational creators’ output is evaluated within the domain of game design being among the most content-intensive and multifaceted domains of human creativity and, undoubtedly, the richest form of human-computer interaction. The project is built upon world-class expertise in computational creativity, artificial and computational intelligence, machine learning, affective computing and advanced game technology, ensuring the development of autonomous computational creators that will advance the measurable capability of computers to produce results that are self-assessed, and assessed by humans, as useful, original and surprising.

Keywords: computational creativity,computer games,procedural content generation,deep learning,novelty search,cognitive modeling,affective computing
Interest and learning consolidation: Behavioural, neurological, and metacognitive analyses (INTEREST AND MEMORY)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Life-long training and career development
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom
Call:  (FP7-PEOPLE-2013-CIG, 2013)
Start date: 2014-05-01
End date: 2018-04-30
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

Interest is a critical motivational factor in education, and a vast number of empirical studies in psychology have revealed the beneficial effects of interest on learning outcomes. Despite the many different theoretical perspectives on interest, however, previous studies hold a common assumption that interest promotes learning by increasing positive motivational commitment to a task (i.e., motivational benefit of interest). Going beyond this assumption, the current project points to the possibility that there is another hidden, non-motivational benefit of interest on learning, and proposes the novel hypothesis that interest can directly consolidate learning without being mediated by any motivational or attentional processes. The proposal will examine this direct consolidation hypothesis of interest using a multidisciplinary approach, combining behavioural, neurological, and metacognitive perspectives. Study 1 will behaviourally test the direct consolidation hypothesis using a new methodology: post-encoding motivation manipulation. I expect that interesting events will enhance long-term learning, even for the interest-irrelevant materials that are presented prior to the interesting event. Study 2 will use functional magnetic resonance imaging to test the hypothesis that the non-motivational effect of interest on learning is produced by the direct modulation of striatal reward system in the hippocampal memory system. Study 3 will examine the metacognitive consequences of the direct consolidation of interest. Specifically, I will investigate the possibility that the unawareness of the non-motivational benefit of interest will produce underconfidence (as opposed to the overconfidence that past literature has commonly observed) and, therefore, maladaptive self-regulated study of interesting materials. These findings will not only open a new avenue for future research on interest, but also suggest practical implications for educational programs to promote interest.

Keywords: interest,memory,learning,psychology,motivation,intrinsic motivation,metacognition,cognition,education,neuroimaging
Aberrant Splicing of CFTR Exon 9 (ASCE)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Life-long training and career development
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Czechia
Call:  (FP7-PEOPLE-2013-CIG, 2013)
Start date: 2014-03-01
End date: 2018-02-28
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

Alternative splicing of pre-mRNAs is tightly regulated and any imbalance can change the outcome of gene expression which often leads to disease. Despite the importance of alternative splicing regulation our knowledge at the molecular level is still in its infancy hampering development of effective therapies. We plan to study the regulatory RNA-protein and protein-protein interaction networks leading to skipping of CFTR exon 9 associated with severe forms of cystic fibrosis. Structure determination of regulatory complexes by NMR spectroscopy in combination with biochemical and functional in vivo studies will be used to deepen our molecular understanding of the regulatory networks governing the proper assembly of mRNAs. With this, we want to reveal the molecular basis of aberrant CFTR exon 9 splicing and lay a rational, structure-function-based foundation for novel approaches to cure diseases.

Keywords: tdp-43,alternative splicing,hnrnp,cystic fibrosis,solution nmr spectroscopy,rna-protein complex,isotope-labelled rna,hammerhead ribozyme,high throughput screening,small molecule inhibitors
Modelling and stability of electric power systems considering stochastic processes and distributed control (MODESTO)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Life-long training and career development
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Ireland
Call:  (FP7-PEOPLE-2013-CIG, 2013)
Start date: 2014-03-01
End date: 2018-02-28
Duration (months): 48.0
Total project cost (EUR): 100000.0
EU funding (EUR): 100000.0
Participants: 1
Project status: CLOSED

The motivations that originate this project stem from the worldwide reconfiguration processes that electric power systems are currently undergoing. On one hand, there is the development and installation of generation plants based on renewable energy resources, e.g., wind and solar plants, whose stochastic nature has to be properly considered in the transient analysis of power systems. On the other hand, there is the generalized trend to transform conventional networks into “smart grids”, which involves the intense interaction of energy devices, control schemes and communication systems. The power system reconfiguration poses new challenges for the dynamic analysis of electric power systems as it forces rethinking device and network models and control schemes. In particular, uncertainties, stochastic processes, time-variant parameters and signal delays are anticipated to play an important role in the overall dynamic response of the grid. This project proposes to reformulate power system models in terms of stochastic and functional, e.g., delayed, differential equations for the modeling, the simulation, the control and the stability assessment of dynamic power systems. Such analyses require advanced mathematical tools which are to be implemented and tested during the development of the project. With this aim, a fully-fledged and flexible software package able to simulate large power systems modeled with proposed approaches will be implemented. The goal is to yield a set of compact quantitative tools, such as stability indices and reliability metrics that can be straightforwardly applied in the industry. These metrics are anticipated to be the main practical result of the project.

Keywords: power system modelling,power system distributed control,power system stability analysis,stochastic differential algebraic equations,delayed differential algebraic equations,security indexes.