Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
LAsers for Applications at Accelerators: A Marie Curie Initial Training NETwork (LA3-NET)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Initial Training Networks
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom,Switzerland,Czechia,Germany,France,Romania,Germany,United Kingdom,United Kingdom,Spain,Denmark
Call:  (FP7-PEOPLE-2011-ITN, 2011)
Start date: 2011-10-01
End date: 2015-09-30
Duration (months): 48.0
Total project cost (EUR): 4581069.16
EU funding (EUR): 4581069.16
Participants: 11
Project status: CLOSED

The advancement of science and engineering in the past decades is inherently linked to the development of lasers. Ever higher laser beam powers, brightness and shorter pulse lengths have helped establish them as an invaluable tool for both a wide range of industry and medical applications, such as for example material treatment, precision measurements, laser cutting, display technologies, and laser surgery, and for fundamental research, where many of the most advanced experiments in astrophysics, atomic, molecular and optical physics, as well as in plasma research would be impossible without the latest laser technology. Moreover, lasers have become increasingly important for the successful operation and continuous optimization of particle accelerators: Laser-based particle sources are well suited for delivering the highest quality ion and electron beams, laser acceleration has demonstrated unprecedented accelerating gradients and might be an alternative for conventional particle accelerators in the future, and without laser-based beam diagnostics it would not be possible to unravel the characteristics of many complex particle beams. The LA3-NET consortium proposes to develop laser applications for particle accelerators within an initial training network. The network brings together research centers, universities, and industry partners to jointly train the next generation of researchers. The partners aim at developing long term collaboration and links between the involved teams across sectors and disciplinary boundaries and to thus help defining improved research and training standards in this multi-faceted field

Keywords: lasers,technology development,ion beam generation,particle accelerator technologies,beam instrumentation,control systems
Detailed Anatomy of Galaxies (DAGAL)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Initial Training Networks
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Spain,Spain,Germany,Netherlands,Finland,France
Call:  (FP7-PEOPLE-2011-ITN, 2011)
Start date: 2012-04-01
End date: 2016-03-31
Duration (months): 48.0
Total project cost (EUR): 2633423.01
EU funding (EUR): 2633423.01
Participants: 6
Project status: CLOSED

We propose an ambitious network based on a combination of training through high-level astrophysical research and a comprehensive package of complimentary skills training. Our network exploits a unique data set: a combination of very deep mid-infrared imaging of over 2300 local galaxies which we are obtaining with the Spitzer Space Telescope, with ground- and space-based UV, optical, and radio data. The data reach unprecedented levels of surface brightness and radial extent over a very large sample, which allows statistical studies of the distribution of old stars, thus stellar mass, young stars, and gas. Synergising the excellence in different areas of extragalactic research across our network, we will tackle fundamental questions concerning the origin and evolution of galaxies. The combination of our Spitzer imaging with a unique set of additional data tracing the distribution and motions of old and young stars, and gas, will allow us to reveal the interplay between galactic dynamics, current star formation and star formation history. Detailed numerical modelling is an integral part of our work plan , and will allow us to relate the present structure and dynamics of galaxies to their cosmological formation and subsequent evolution. We aim to train 8 ESRs and 2 ERs through this research, and through an ambitious programme of complimentary skills training. The latter will be delivered through a series of network events, covering such diverse aspects as project management, instrumentation, publishing, IT, outreach, and career training. Mobility is a key aspect of our network approach. All researchers will spend time at different nodes and at meetings, and our three private-sector associated partners will provide internships: a leading science publisher and two small hi-tech companies. Our proposed training programme will help prepare the next generation of scientists: Europe’s investment for the future.

Keywords: physical sciences,astronomy,astrophysics,cosmology
ENTITLE. European Network of Political Ecology (ENTITLE)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Initial Training Networks
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Spain,Portugal,United Kingdom,Sweden,Germany,Greece,Türkiye,Chile,Italy,Palestine, State of
Call:  (FP7-PEOPLE-2011-ITN, 2011)
Start date: 2012-05-01
End date: 2016-04-30
Duration (months): 48.0
Total project cost (EUR): 3650313.9
EU funding (EUR): 3650313.9
Participants: 11
Project status: CLOSED

ENTITLE will train 17 researchers in the emerging supra-disciplinary field of Political Ecology, giving them the theoretical, analytical and complementary skills that will make them employable in jobs related to environmental policy analysis and advocacy. Research and training are framed around five key cluster sub-programmes concerned with the analysis of: environmental conflicts; environmental movements; natural disasters; changes in the commons; and environmental justice and democracy. Research is based on a series of empirical-based investigations of a geographically and thematically diverse set of case-studies. The researchers of the network will collaborate to offer a theoretical and methodological framework for the empirical research and will synthesise the results of the individual cases in a series of publishable outputs. Research will be action and policy-oriented culminating in a series of Action and Policy Briefs targeting civil society organizations and policy-makers. Training includes an integrated curriculum of local and intensive network courses, summer schools, secondments and training through work. Researchers will be seconded to and recruited by one SME and two NGO partners of the project, building bridges between academia and practice. ENTITLE builds on an on-going collaboration in training between the participating institutions, manifested in a series of successful summer schools. It brings together some of the world´s top scholars in the field, and overcomes the fragmentation of existing political ecological research in Europe, offering a critical mass of research and training. It is integrated with a number of related FP7 research projects, and builds on a network of reliable and capable partners with considerable experience in EU project management. The researchers trained in the network will be employable in academia, public administration, NGOs and the consultancy sector

Keywords: environment,conflicts,commons,institutions,geography,ecological economics,sustainable development
Data network for better European organic market information (ORGANICDATANETWORK)

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: Italy,Switzerland,Germany,Czechia,Italy,France,United Kingdom,United Kingdom,Germany,Germany,Spain,Germany,Estonia,Sweden,Türkiye
Call:  (FP7-KBBE-2011-5, 2011)
Start date: 2012-01-01
End date: 2014-12-31
Duration (months): 36.0
Total project cost (EUR): 1955062.0
EU funding (EUR): 1498844.0
Participants: 15
Project status: CLOSED

The project, European Data Network for Improved Transparency of Organic Markets (OrganicDataNetwork) aims to increase the transparency of the European organic food market through better availability of market intelligence about the sector to meet the needs of policy makers and actors involved in organic markets. This overall objective will be broken up into key objectives: 1. Bring together stakeholders and bodies actively involved in organic market data collection and publication and review the needs of end-users with respect to organic market data 2. Provide an inventory of relevant private and public bodies that are involved with the collection, processing and dissemination of organic market data in Europe 3. Classify existing methods of organic market data collection and develop criteria for quality improvement of available data 4. Collect, store in a common format and provide access to currently available data on organic markets in Europe 5. Develop and test common methodologies to assess the consistency of national data, with special reference to available data on trade flows 6. Test innovative approaches to improve the data collection and market reporting in six case study regions 7. Disseminate project results and develop recommendations including a code of practise for organic market data collection and network beyond the conclusion of the project To achieve these objectives, OrganicDataNetwork includes as partners bodies (from 11 countries) that collect, publish and analyse such data. This network will closely co-operate with the EC, Eurostat and statistical offices of Member States, using existing structures for collecting and processing data on the organic market and stimulating the development of new ones by adapting existing models. The partnership will act as co-ordinating centre between stakeholders, and will result in a proposal for the establishment of a permanent network to achieve collaboration on statistical issues regarding organic market.

Keywords: organic market,market transparency,market intelligence,data quality & collection methods,smes
Combining Technologies to achieve significant binary Reductions in Sodium, Fat and Sugar content in everyday foods whilst optimising their nutritional Quality (TERIFIQ)

Framework: FP7 — Cooperation
Programme: Food, Agriculture and Fisheries, and Biotechnology
Destination: Fork to farm: Food (including seafood), health and well being
Action type: Collaborative project
Countries involved: France,Netherlands,Norway,United Kingdom,France,France,Germany,Italy,Belgium,Belgium,Italy,Romania,Spain
Call:  (FP7-KBBE-2011-5, 2011)
Start date: 2012-01-01
End date: 2015-12-31
Duration (months): 48.0
Total project cost (EUR): 4019954.28
EU funding (EUR): 2994363.0
Participants: 18
Project status: CLOSED

The aim of TeRiFiQ is to achieve significant binary (salt and fat or fat and sugar) reductions in the level of sodium, sugar and fat in selected cheese (hard, semi-hard, soft), meat (cooked and dry-fermented sausages), cakes (muffins) and ready-made food products (sauces) whilst maintaining and where possible enhancing nutritional and sensorial qualities of these products to ensure full consumer acceptance. This will be done by fine-tuning current product formulations by engineering the technological parameters of realistic food models specific to each product and by applying state of the art technologies such as cryo-crystallisation, multiple emulsions and multi-layered processes in a manner never done before. In parallel, micro- and macro-structures of the new food matrices will be studied. To ensure the sensorial feasibility of this re-engineering, sensorial analysis and optimisation to ensure consumer acceptability will be carried out in parallel to these technological developments. Moreover, the nutritional value of reformulated foods will be estimated compared to the non reformulated original foods. Beside technological aspects, more fundamental studies from selected models developed above will be conducted to improve the understanding of the main mechanisms leading to perception. That includes flavour release and temporal perception in relation with changes in composition of the selected models with in vivo and in vitro approaches with predictive tools, and a cognitive approach will be carried out as a promising lever to compensate salt, sugar and/or fat reduction. The findings will be transferred to the reformulation actions so that they can be introduced into the new food processes. These new product formulations will be validated via extensive consumer testing and demonstration activities with 9 SMEs for 6 European countries to ensure the industrial feasibility and consumer acceptance in different EU cultures and industries.

Keywords: reduction,sodium,fat,sugar,technology,food models,multiple-emulsions,cryo-crystallisation,reformulation,nutritional quality,safety,perception,industry,consumer
Training of the One Health Next Scientific Generation in the Sahel and Maghreb (OH-NEXTGEN)

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: Coordination and support actions
Countries involved: Belgium,Switzerland,United Kingdom,Sweden,South Africa,Morocco,Senegal,Ghana
Call:  (FP7-KBBE-2011-5, 2011)
Start date: 2011-10-01
End date: 2015-09-30
Duration (months): 48.0
Total project cost (EUR): 2231293.06
EU funding (EUR): 1997402.0
Participants: 9
Project status: CLOSED

Humans and animals living in poor communities in the developing world often suffer from health problems arising from neglected zoonoses. Control options for these diseases are perceived as either too expensive or to be beyond the mandate of either the human or animal health systems. There is evidence that zoonoses in humans can be suppressed or even eliminated through interventions in animals. Moreover, joining human and animal health services can provide access to care that would otherwise not be affordable or not be available. The close collaboration between the public and animal health sectors, also called One Health, with clearly defined roles for each sector, offers a formidable potential for creative and cost-effective solutions in disease control. Despite the emerging evidence on the effectiveness of One Health in surveillance and control of zoonoses, institutional barriers limit the added value of closer cooperation between human and animal health. OH-NEXTGEN will develop a web-based modular training course designed to empower a new generation of scientists to address One Health issues faced by communities in Africa. While this programme is targeted to the Maghreb and the Sahel, the course will be accessible world-wide by offering training modules through the European Tropical Health Education Network (tropED) and other existing networks. The course will include selected neglected zoonoses and generic themes such as integrated methods of joint human and animal disease surveillance and epidemiology, health economic assessments, animal-human modelling of infectious disease, trans-disciplinary approaches to connect science and society and address issues of culture, gender and contextualized extension and health education. In each module the added value of One Health is demonstrated. The project will complement the existing EU FP7 ICONZ project, which builds up the evidence base for integrated control approaches to neglected zoonoses in 7 African countries.

Keywords: one health,neglected zoonoses,maghreb,sahel,education,virtual learning environment
Advances in Numerical and Analytical tools for DEtached flow prediction (ANADE)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Initial Training Networks
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Spain,United Kingdom,Belgium,United Kingdom,France,Germany,Belgium,Belgium,United Kingdom
Call:  (FP7-PEOPLE-2011-ITN, 2011)
Start date: 2012-01-01
End date: 2015-12-31
Duration (months): 48.0
Total project cost (EUR): 4463642.06
EU funding (EUR): 4463642.06
Participants: 10
Project status: CLOSED

The present project is based on existing collaborations in different national and international projects, a common research interest toward fluid dynamics applied to industrial problems and existing, although immature, common training programs between the partners. We all partners agree that the current skills of science graduates in the technologies covered by this project are still insufficient. The project also tries to address the shortage of scientists and engineers in Europe in the next future by offering an attractive plan of training and research, with strong colaboration between industry and academia. From a technical point of view, the training is focused on acquiring awareness of new potential technologies, as well as, new capabilities to be implemented within the design process. Intention is to extend the range of simulation available today, both in physics understanding and new technologies coming from the consortium. Direct impact is expected within methods that could support on the complicated analysis of flow separation (by introducing new techniques that provide insight about the stability of a given design), noise generation (early simulation capabilities based on current technologies in use), novel simulation techniques (that will reduce the design loop cost by reduction of resources needed to perform the same simulation), solution quality increase (by improving the mesh generation quality assessment). The complete research and training program for all researchers recruited inside the network is based on the Network-Wide Training approach (training through carrying out individual research projects) and complemented by Internal Network Training (secondments, advanced courses, workshops, open international competitions, training by internet) and Local Specialist Training (specific courses, day to day research). All three dimensions involve research based training and complementary

Keywords: aerospace engineering,aeroacustic and vibrations,aerodynamics,computatinal fluid dynamics,flight physics,flow control.
From Data to Models: New Bioinformatics Methods and Tools for Data-Driven Predictive Dynamic Modelling in Biotechnological Applications (BIOPREDYN)

Framework: FP7 — Cooperation
Programme: Food, Agriculture and Fisheries, and Biotechnology
Destination: Life sciences, biotechnology and biochemistry for sustainable non-food products and processes
Action type: Collaborative project
Countries involved: Spain,Spain,Germany,Netherlands,Italy,United Kingdom,United Kingdom,France,Germany,Switzerland,Denmark
Call:  (FP7-KBBE-2011-5, 2011)
Start date: 2011-10-01
End date: 2015-03-31
Duration (months): 42.0
Total project cost (EUR): 3869268.8
EU funding (EUR): 3000000.0
Participants: 12
Project status: CLOSED

Currently, biologists are collecting enormous amounts of ‘omics’ data in a vast number of different databases. Predictive, data-driven computational models are needed to understand the complex, multi-scale biological networks underlying these high-throughput datasets. Such models are non-linear and contain many parameters, which are difficult (or impossible) to measure directly. Instead, parameters need to be inferred from data. This approach is called reverse-engineering. It has tremendous potential for several areas, such as biotechnology and systems biology, since it allows us to develop models with unprecedented accuracy and predictive power. This is achieved through an iterative refinement of our models compared to quantitative ‘omics’ data, a process called the systems-biology modelling cycle. Many methods have been developed that deal with specific steps in this cycle (data analysis, model building/discrimination, parameter estimation/identifiability analysis, uncertainty quantification, and optimal experimental design), but we still lack an over-arching, easy-to-use software framework that supports the modelling cycle in its entirety, allowing its widespread application. This project aims at improving accessibility of the data, and developing novel algorithms and tools implemented in such a general framework, which will enable the efficient transfer of cutting-edge modelling and optimisation methods from an academic research setting to private biotechnology partners. We will use representative biological and biotechnological applications as benchmark problems to develop robust and generally applicable methodology. The availability of such tools to the biotechnology sector (and other industries) will greatly enhance our ability to design and optimise complex production processes, especially those of nutraceuticals, biopharmaceuticals, or fine chemicals based on engineered organisms such as bacteria, yeast or plants.

Keywords: multi-scale network modelling,non-linear optimisation,reverse-engineering,model analysis,validation,and calibration,software tools,high-performance computing,biotechnological applications
INVISIBLES (INVISIBLES)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Initial Training Networks
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Spain,United Kingdom,Denmark,France,Germany,Germany,Italy,Spain,Spain,Switzerland,United Kingdom
Call:  (FP7-PEOPLE-2011-ITN, 2011)
Start date: 2012-04-01
End date: 2016-03-31
Duration (months): 48.0
Total project cost (EUR): 3823903.0
EU funding (EUR): 3823903.0
Participants: 11
Project status: CLOSED

NEUTRINOS AND DARK MATTER are the most abundant particles in the universe and yet they remained unnoticed -invisible- for a long time, due to their tenuous couplings to the ordinary matter we are composed of. Neutrino masses inferred from neutrino oscillations and the existence of dark matter constitute the first evidence ever of particle physics beyond the Standard Model. A wide experimental program focused on the properties of both type of particles is imminent and major breakthroughs are expected soon. The road to build the New Standard Model of particle physics is open: the theory must encompass the nature and properties of neutrinos and dark matter, besides those of ordinary matter. The mission of INVISIBLES ITN is to form the new generation of young researchers which will accomplish this task. It will focus on neutrino and dark matter phenomenology and their connection, with the indispensable link to experiment and a deep understanding of theoretical and astroparticle issues. It will be the first transnational program on these topics, exploiting the capital investment in new experimental facilities and overcoming the fragmentation of the research effort. INVISIBLES ITN is uniquely placed to achieve its goal: i) World-leadership in all relevant scientific areas; ii) A novel multidisciplinary approach fostering the neutrino-dark matter synergy; iii) In addition to theorists, inclusion of key experimentalists; theory-experiment cross training is a unique characteristic of this ITN; iv) Outstanding training record; v) CERN, Fermilab, XENON and SuperKamiokande -the four major experimental players- as partners; vi) Partnership with the world-leader research-related industry and cutting-edge technology transfer; vii) Strong outreach and communication program, with two dedicated companies; viii) Top-quality expertise from emergent countries; ix) Optimal in gender balance and role models, with over 60% female and mostly junior international leaders as coordinators.

Keywords: physical sciences,phenomenology,neutrinos,dark matter,interface particle-astroparticle physics-cosmology