Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Forward Visions on the European Research Area (VERA)

Framework: FP7 — Cooperation
Programme: Socio-economic sciences and Humanities
Destination: Foresight activities
Action type: Coordination and support actions
Countries involved: Germany,Romania,Netherlands,France,Austria,United Kingdom,Finland,Spain,European organisations area
Call:  (FP7-SSH-2011-3, 2011)
Start date: 2012-02-01
End date: 2015-01-31
Duration (months): 36.0
Total project cost (EUR): 1922317.27
EU funding (EUR): 1459370.64
Participants: 12
Project status: CLOSED

The VERA project aims to provide relevant strategic intelligence for the future governance and priority-setting of the research, technology, development and innovation (RTDI) system in Europe and for better adapting science, technology and innovation policy to the shifting global environment and upcoming socio-economic challenges. For this purpose VERA carries out an in-depth stocktaking of RTDI related forward looking activities in Europe and internationally and a thorough review of trends and drivers of long-term change of European RTDI governance. On the base of these insights VERA develops scenarios on the evolution of the European Research Area, assesses the critical issues for the ERA’s future capabilities emerging from these scenarios, explores subsequent strategic options and ultimately generates a set of policy recommendations for responsive and future oriented multi-level, multi-domain RTDI policy strategies. VERA is conceptualised as a continuously progressing two-way communication process among ERA actor groups from society, industry, academia and policy across domains, levels and regions. It is setting up a strategic conversation between these stakeholders that evolves through several carefully tailored stages in order to jointly discover shared visions and strategic options around the ERA’s future perspectives towards 2020 and far beyond. VERA is exploring gradual evolution following from current patterns of change – but is also explicitly embracing transformative and disruptive developments with a long-term horizon. The VERA project is being proposed by a consortium of ten internationally renowned institutes from 9 EU countries involving a team of more than 20 researchers with outstanding expertise both in terms of relevant knowledge and forward looking methodology and excellent contacts with RTDI stakeholders in Europe and the world.

Keywords: forward looking,scenarios,governance,foresight
Enhancing Knowledge for Renewed Policies against Poverty (NOPOOR)

Framework: FP7 — Cooperation
Programme: Socio-economic sciences and Humanities
Destination: Europe in the world
Action type: Collaborative project
Countries involved: France,Germany,Germany,United Kingdom,Spain,Belgium,Luxembourg,Peru,Brazil,Chile,Mexico,South Africa,Madagascar,Viet Nam,France,Austria,Senegal,Ghana,India
Call:  (FP7-SSH-2011-1, 2011)
Start date: 2012-04-01
End date: 2017-09-30
Duration (months): 66.0
Total project cost (EUR): 9880619.97
EU funding (EUR): 8000000.0
Participants: 19
Project status: CLOSED

NOPOOR aims to build new knowledge on the nature and extent of poverty in developing countries to provide policymakers with a broader understanding of poverty. We believe that poverty cannot be tackled without a comprehensive approach. We know that poverty is a multidimensional phenomenon, but NOPOOR will explore new and uncharted dimensions. It is not just a picture of poverty, but also an understanding of poverty entry and exit processes that is needed for achieving MDGs and for making more effective the policies. Nineteen experienced partners are involved in the project, which includes ten teams from developing and emerging countries in three regions (Latin America, sub-Saharan Africa and South Asia). These countries have implemented different poverty reduction policies, and this will form the basis for the comparative and case studies approach taken. The project will identify key mechanisms that explain the persistence and exacerbation of poverty, which have been altered by the insertion of developing countries into the globalization process, including trade, aid, FDI and migration, and by the growing interdependence of economies. Causes may differ between countries. This calls for policies and actions to be tailored to each poor country’s characteristics, including their access to resources, political regime, quality of institutions and governance. These points are developed by various approaches, including political economics, and different methods: surveys, econometric studies and case studies. NOPOOR will put significant resources into generating new knowledge from original surveys, database work and qualitative work. .It will also look forward to future scenarios. Conclusions will be oriented to policy recommendations. Beyond this contribution to scientific knowledge, NOPOOR will pursue an active policy of dissemination and capacity building, including training of young Southern researchers and the implementation of a permanent network with National Institutes of Statistics (NIS). The project is policy-oriented. NOPOOR will accompany the EU's agenda for its policy against poverty by consultations, guidance notes, and policy briefs on issues relating to the program. The review of MDG will constitute an important point of focus in the future years.
Mapping the population, careers, mobilities and impacts of advanced research degree graduates in the social sciences and humanities (POCARIM)

Framework: FP7 — Cooperation
Programme: Socio-economic sciences and Humanities
Destination: Horizontal actions
Action type: Coordination and support actions
Countries involved: United Kingdom,Portugal,Slovakia,Switzerland,Switzerland,Spain,United Kingdom,Italy,Türkiye,Hungary,Norway
Call:  (FP7-SSH-2011-3, 2011)
Start date: 2012-03-01
End date: 2014-12-31
Duration (months): 34.0
Total project cost (EUR): 1175939.26
EU funding (EUR): 996847.0
Participants: 12
Project status: CLOSED

This proposal is focused on increasing our understanding of the career paths and employment patterns and contribution of doctoral graduates in the social sciences and humanities. The study focuses on three Objectives: Objective 1: Identification of the dimensions of the population and its core characteristics and assess trends in their employment Objective 2: Identify the diversity of post-doctoral career paths in the SSH field. Objective 3: Assessment of the contribution that this diverse group of research-trained graduates make to Europe’s knowledge based economy and society (their ‘impact’). In order to respond effectively to these objectives a team of national experts has been put together. All the team have extensive experience of work in this area from a variety of disciplinary backgrounds and specific research skills. The team represents 13 European countries. The national ‘reach’ of the team is however much broader with all participants having engaged in cross-country research spanning the EU and beyond. The work is distributed across 8 work packages combining a range of research review, policy analysis, statistical analysis with fresh survey research and qualitative interviews. The study incorporates an integrated impact strategy commencing at project start-up through close engagement with the stake holder and user communities and SSH researchers themselves. An active dissemination programme comprising text and web-based dissemination with 5 Regional Workshops and international quality level academic publication commitments. The results of this work will provide an important and entirely new evidence base enabling us to respond to the three objectives outlined above and shape the future of social sciences and humanities at European and National level.

Keywords: careers social sciences and humanities mobility impact relevance
Variation & the City (VARCITY)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Advanced grants
Action type: Support for frontier research (ERC)
Panel: Computer science and informatics
Countries involved: Switzerland
Call:  (ERC-2011-ADG_20110209, 2011)
Start date: 2012-05-01
End date: 2017-04-30
Duration (months): 60.0
Total project cost (EUR): 2441893.2
EU funding (EUR): 2441893.2
Participants: 1
Project status: CLOSED

VarCity aims to drastically innovate 3D city modeling, moving it away from the traditional, bottom-up Lidar or structure-from-motion pipelines. Not only will large-scale city modeling be automated, but the results will look more realistic, will be more compact and will be semantically structured. Moreover, the dynamics of traffic flows will be added as animations (to safeguard anonymity) and videos of special events and landmarks can be retrieved with the 3D model as geographical context. These videos of flows and events are again automatically analysed and combined. For the combination of multiple event videos, a virtual editor will be implemented, ensuring compilations of high quality and providing an excellent overview whenever possible. The overall result will be an augmented, live Google street. The modeling is based on three types of input data: 1) dedicated mobile mapping imagery taken from several synchronized cameras mounted on a van, 2) images of landmarks and corresponding Wikipedia pages mined from public Internet repositories, and 3) the large amount of videos people can expect to stream from their mobile phones in the near future (given e.g. the upcoming LTE). With respect to the latter VarCity thus takes a proactive stand, but such data are easy to simulate. The other data types are already available to the project, through spin-off companies. For the modeling of the architectural structures, procedural methods will be used. Starting from the images, procedural models of the buildings are generated as instantiations of their architectural style, expressed in a style grammar. The key idea underlying much of the work is to let visual object class recognition and detection feed back into what traditionally are considered `low-level’ vision processes. This approach will enhance several aspects of the work, including the inverse procedural modeling, event detection, traffic flow analysis, inpainting, level-of-detail, super-resolution, etc.

Keywords: 3d city modeling,traffic flows,event detection,video compilation
Specification Mining and Testing (SPECMATE)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Advanced grants
Action type: Support for frontier research (ERC)
Panel: Computer science and informatics
Countries involved: Germany
Call:  (ERC-2011-ADG_20110209, 2011)
Start date: 2012-01-01
End date: 2016-12-31
Duration (months): 60.0
Total project cost (EUR): 2260000.0
EU funding (EUR): 2260000.0
Participants: 1
Project status: CLOSED

In the past decade, automated validation of software systems has made spectacular progresses. On the testing side, it is now possible to automatically generate test cases that effectively explore the entire program structure; on the verification side, we can now formally prove properties for software as complex as operating systems. To push validation further, however, we need specifications of what the software actually should do. But writing such specifications has always been hard—and so far significantly inhibited the deployment of rigorous development methods. The SPECMATE methodology automatically extracts such specifications from existing systems, effectively leveraging the knowledge encoded into billions of code lines. SPECMATE starts with just an executable program and automatically produces an incremental specification, starting with the most relevant properties; and a set of test cases fully covering the specification. Such specifications are ideal starting points for compositional modeling and verification, enabling the rigorous construction and derivation of new, safe, dependable software systems; they also widely automate development activities such as testing, defect detection, and program maintenance. To achieve these goals, SPECMATE employs a combination of specification mining (extracting specifications from executions), test case generation (generating additional runs to explore execution space) and mutation analysis (seeding synthetic defects to assess test quality). The proposed techniques all scale to industrial-sized programs; all we need is the ability to execute individual functions.

Keywords: specification,program analysis,testing,verification
Advanced Data-Driven Black-box modelling (A-DATADRIVE-B)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Advanced grants
Action type: Support for frontier research (ERC)
Panel: Systems and communication engineering
Countries involved: Belgium
Call:  (ERC-2011-ADG_20110209, 2011)
Start date: 2012-04-01
End date: 2017-03-31
Duration (months): 60.0
Total project cost (EUR): 2485800.0
EU funding (EUR): 2485800.0
Participants: 1
Project status: CLOSED

Making accurate predictions is a crucial factor in many systems (such as in modelling energy consumption, power load forecasting, traffic networks, process industry, environmental modelling, biomedicine, brain-machine interfaces) for cost savings, efficiency, health, safety and organizational purposes. In this proposal we aim at realizing a new generation of more advanced black-box modelling techniques for estimating predictive models from measured data. We will study different optimization modelling frameworks in order to obtain improved black-box modelling approaches. This will be done by specifying models through constrained optimization problems by studying different candidate core models (parametric models, support vector machines and kernel methods) together with additional sets of constraints and regularization mechanisms. Different candidate mathematical frameworks will be considered with models that possess primal and (Lagrange) dual model representations, functional analysis in reproducing kernel Hilbert spaces, operator splitting and optimization in Banach spaces. Several aspects that are relevant to black-box models will be studied including incorporation of prior knowledge, structured dynamical systems, tensorial data representations, interpretability and sparsity, and general purpose optimization algorithms. The methods should be suitable for handling larger data sets and high dimensional input spaces. The final goal is also to realize a next generation software tool (including symbolic generation of models and handling different supervised and unsupervised learning tasks, static and dynamic systems) that can be generically applied to data from different application areas. The proposal A-DATADRIVE-B aims at getting end-users connected to the more advanced methods through a user-friendly data-driven black-box modelling tool. The methods and tool will be tested in connection to several real-life applications.

Keywords: nonlinear modelling,support vector machines and kernel-based learning,optimization,black-box models
Computational Perspective to Dynamical Protein-Lipid Complexes under Crowded Conditions (CROWDED-PRO-LIPIDS)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Advanced grants
Action type: Support for frontier research (ERC)
Panel: Condensed matter physics
Countries involved: Finland
Call:  (ERC-2011-ADG_20110209, 2011)
Start date: 2012-05-01
End date: 2017-04-30
Duration (months): 60.0
Total project cost (EUR): 1920334.0
EU funding (EUR): 1920334.0
Participants: 1
Project status: CLOSED

One of the great challenges is to understand how cellular functions emerge in cell membrane systems. Unlocking this mystery is the key to the vast majority of human diseases. The current view is based on a static picture where membrane proteins in protein-poor membranes interact with a few specific lipids, while in reality the situation is much more complicated. This ambitious project aims for a breakthrough by changing the present paradigm. The objective is to focus on the dynamical interplay between lipids and proteins under crowded conditions, paving the way for understanding the dynamics of lipid-protein complexes and their resulting functions. The objectives are outstanding and contain a high risk, with exceptional gain. The main goal is better understanding of the physical principles that give rise to cellular functions, with a strong impact to clarify the relevance of dynamical lipid-protein interactions in cellular processes related to health and disease. For this purpose, the grand themes chosen for this project are lipoproteins coupled to cardiovascular disease (“good” and “bad” cholesterol) and the function of especially cholesterol and glycolipids with membrane proteins. In order to meet these goals, the applicant employs state-of-the-art simulation techniques that comprise quantum-mechanical, classical atomistic and coarse-grained simulation methods to elucidate the complex biological phenomena associated with lipid-protein systems. The simulations cover atomistic and molecular details, over time scales from femtoseconds up to milliseconds. The theory & simulation group lead by PI comprises expertise in a truly cross- and multi-disciplinary manner, and it strongly collaborates with some of the leading experimental teams in biomedical sciences, cell biology, structural biology, and membrane biophysics.

Keywords: biological physics,membrane protein,lipoprotein,cholesterol,lipid membrane,molecular dynamics,computer simulations,multiscale simulations,crowding
Mathematics of solid and liquid crystals (SOLLIQ)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Advanced grants
Action type: Support for frontier research (ERC)
Panel: Mathematical foundations
Countries involved: United Kingdom
Call:  (ERC-2011-ADG_20110209, 2011)
Start date: 2012-04-01
End date: 2018-03-31
Duration (months): 72.0
Total project cost (EUR): 2006998.0
EU funding (EUR): 2006998.0
Participants: 1
Project status: CLOSED

The project combines two closely related themes in which nonlinear analysis addresses central issues of material behaviour. The first is the prediction and analysis of microstructure arising from solid phase transformations in alloys. Such microstructure largely determines the macroscopic properties of the material, but the prediction of its morphology remains poorly understood, and is related to deep unsolved problems in the calculus of variations. The aim is to make advances in this area using appropriate static and dynamic continuum models of nonlinear elasticity type, thus helping to create a predictive theory. The second theme is to develop the mathematical theory of the Landau - de Gennes theory of liquid crystals, in which the distribution of molecular orientations is described by a matrix order parameter. Regarded by physicists as a theory of choice for liquid crystals, the Landau - de Gennes model has been little studied by mathematicians. The aim is to understand more about its validity and properties of solutions, with potential gains for the prediction of the behaviour of new generations of liquid crystal displays. Linking and underpinning the two themes are common mathematical and conceptual challenges, such as understanding the existence and singularities of minimizers in the multi-dimensional calculus of variations, the approach to equilibrium of thermomechanical systems, and the passage from atomic and molecular to continuum descriptions of materials. An expectation of the project is that the simultaneous study of problems from the two themes will lead both to new understanding of these fundamental scientific questions and to beneficial cross-fertilization between the themes.

Keywords: martensitic transformations,microstructure,calculus of variations,q tensor,nematic,lyapunov function,dynamical systems,quasiconvex,oseen-frank,landau - de gennes,global attractor
Biophysical Modeling and Analysis of Dynamic Medical Images. (MEDYMA)

Framework: FP7 — Ideas
Programme: European Research Council
Theme: European research council
Destination: Advanced grants
Action type: Support for frontier research (ERC)
Panel: Computer science and informatics
Countries involved: France
Call:  (ERC-2011-ADG_20110209, 2011)
Start date: 2012-04-01
End date: 2017-03-31
Duration (months): 60.0
Total project cost (EUR): 2498327.0
EU funding (EUR): 2498327.0
Participants: 1
Project status: CLOSED

During the past decades, exceptional progress was made with in vivo medical imaging technologies to capture the anatomical, structural and physiological properties of tissues and organs in a patient, with an ever increasing spatial and temporal resolution. The physician is now faced with a formidable overflow of information, especially when a time dimension is added to the already hard to integrate 3-D spatial, multimodal and multiscale dimensions of modern medical images. This increasingly hampers the early detection and understanding of subtle image modifications which can have a vital impact on the patient's health. To change this situation, this proposal introduces a new generation of computational models for the simulation and analysis of dynamic medical images. Thanks to their generative nature, they will allow the construction of databases of synthetic, realistic medical image sequences simulating various evolving diseases, producing an invaluable new resource for training and benchmarking. Leveraging on their principled biophysical and statistical foundations, these new models will bring a remarkable added clinical value after they are personalized with innovative methods to fit the medical images of any specific patient. By explicitly revealing the underlying evolving biophysical processes observable in the images, this approach will yield new groundbreaking image processing tools to correctly interpret the patient's condition (computer aided diagnosis), to accurately predict the future evolution (computer aided prognosis), and to precisely simulate and monitor an optimal and personalized therapeutic strategy (computer aided therapy). First applications will concern high impact diseases including brain tumors, Alzheimer's disease, heart failure and cardiac arrhythmia and will open new horizons in computational medical imaging.

Keywords: medical image analysis and simulation,biophysical and statistical models of anatomy and physiology,personalization of computational models from images,dynamic medical images