Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
xLiMe – crossLingual crossMedia knowledge extraction (XLIME)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Germany,Slovenia,Italy,Spain,Switzerland,Germany
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-11-01
End date: 2016-10-31
Duration (months): 36.0
Total project cost (EUR): 3897357.0
EU funding (EUR): 2987000.0
Participants: 8
Project status: CLOSED

Europe is different from other large media markets such as the US or China in that information is being generated in different languages and distributed via diverse streams of localised media channels. Automatic analysis is complicated further by different content types (audio, video, text) and different channels (mainstream, social media). Thus, information can only be analysed independently for each dimension. This restricts the extractable knowledge and keeps it fragmented, which ultimately constrains the exchange of information. xLiMe proposes to extract knowledge from different media channels and languages and relate it to cross-lingual, cross-media knowledge bases. By doing this in near real-time we will provide a continuously updated and comprehensive view on knowledge diffusion across media, e.g., from European communities like Catalonia to worldwide content in English. Tools and methods developed in xLiMe will be applied in three complementary case studies and evaluated by several business clients and up to 10mio end users . We will 1. augment more than 250 TV channels in different languages with up-to-date information from social media and news in near real-time, 2. monitor brands and the diffusion of opinions across languages and media, and 3. analyse online shop performance with regard to external cross-lingual, cross-media factors, like campaigns for brands and the emergence of public opinions. By combining speech recognition, natural language processing, machine learning and semantic technologies we will advance key open research problems, by 1. extracting machine-readable knowledge (entities, sentiment, events and opinions) from multilingual, multimedia and social media content and integrate it with cross-lingual, cross-media knowledge bases, 2. searching this knowledge with structured and unstructured queries in near real-time, 3. monitoring its provenance, consumption and diffusion and 4. analysing the interdependency between media exposure and behavioural patterns.

Keywords: crossmedia,crosslingual,knowledge extraction,correlation,summarization,real time monitoring,big data,radio,news,social media,sentiment,event,opinion diffusion,marketing analytics
VPH based predictive model for oral cancer reoccurrence in the clinical practice (ORAMOD)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Italy,Netherlands,Germany,Germany,Finland,Greece
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 4153734.0
EU funding (EUR): 3098000.0
Participants: 10
Project status: CLOSED

Clinical oncology is undergoing a profound transformation, driven by the availability of new diagnostic technologies, novel techniques for bio-molecular and genomic tests aimed at predictive markers discovery, smart mathematical and statistical algorithms for disease modelling and prediction simulation, powerful computing for data mining and data analysis on large datasets of heterogeneous data. The approach to care delivery is also shifting from treatment administration to treatment planning, supported by predictive modelling. OraMod perfectly fits in this scenario: the project converges the technology and scientific breakthrough from research into clinical practice by developing a novel, modular and integrated ICT environment aimed at supporting key aspects of the clinical management of oral cavity cancer patients. OraMod focuses on the integration of data, medical knowledge, multi-disciplinary collaborative best clinical practices and cutting-edge technologies, including modelling, in-silico simulation, and decision support aimed at early and precisely predict oral cancer reoccurrence. In so doing the project addresses urgent clinical and societal needs: better clinical decisions regarding treatment and follow-up, reduced costs, and benefits for patients from reduced post-treatment morbidity. Building from previous ICT-224483 NeoMark, OraMod will combine a predictive model relying on a variety of data collected and managed in the system repository, with decision support and in-silico simulation tools, an interactive Knowledge Assisted Visualization in line with the "Digital Patient" paradigm, a collaborative working space to support multi-disciplinary decision-making, a sophisticated suite for diagnostic image analysis and features extraction and a qRT-PCR device and lab-on-chip for fast, precise, quantitative detection of the genomic markers included in the model. A clinical trial in four European pilot hospitals will demonstrate tangible clinical benefits.

Keywords: virtual physiological human,predictive modelling,oral cancer recurrence,clinical practice,medical device,in-vitro diagnostic,diagnostic imaging model,human computer interaction,digital patient
Thermoplastically deformable circuits for embedded randomly shaped electronics (TERASEL)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Belgium,Italy,Germany,France,Netherlands,France,Austria,Netherlands,Belgium,Belgium,Germany,Germany,Belgium,Belgium,Belgium
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 7358915.0
EU funding (EUR): 5000000.0
Participants: 15
Project status: CLOSED

The overall aim of the TERASEL project is the development, the industrial implementation and the application in a wide range of domains of large area, cost-effective, randomly shaped electronics and sensor circuit technologies. More specifically the TERASEL objectives are the following : • To develop a basic technology platform for rigid large-area randomly shaped electronic circuits. Key common features of the technologies in this platform are : 1. Electronic circuit fabrication and component assembly on flat substrates, compatible with existing equipment. 2. Application and embedding of the flat circuits in thermoplastically deformable polymers. 3. Development of high pressure, low temperature thermoforming technologies to deform the polymer embedded flat circuit into its random final functional shape. • To set up a complete multi-competence industrial production chain for such circuits. Indeed, the goal is to achieve mature, near-to-production industrial processes for manufacturing randomly shaped circuits. • To apply the developed technologies in a number of functional demonstrators close to products: a TV set with ambient illumination, a free-form man-machine interface, an intelligent car interior component, a 2.5D lighting device, a household appliance. This novel technology can be developed successfully only thanks to the synergy and intensive co-operation between partners of the 2 industry sectors involved in TERASEL: the electronics circuit fabrication and assembly industry on one hand, and the polymer processing industry on the other. 6 SME’s and 5 large industrial partners are complemented with 4 research institutes, thus forming a well-balanced consortium, fully capable of achieving the ambitious TERASEL goals. The merging of polymer and electronics industry competences will lead to a whole new range of products for a wide range of application domains.

Keywords: stretchable circuits,deformable large-area industrialisation,thermoplastic polymers,electronics assembly
Cooperative Business and Innovative Rural Development: Synergies between Commercial and Academic Partners (C-BIRD)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Industry-Academia Partnerships and Pathways
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Bulgaria,Italy,Spain,Ireland,Serbia
Call:  (FP7-PEOPLE-2013-IAPP, 2013)
Start date: 2014-01-01
End date: 2017-12-31
Duration (months): 48.0
Total project cost (EUR): 597663.91
EU funding (EUR): 597663.91
Participants: 7
Project status: CLOSED

C-BIRD recognizes the diversity and complexity of rural areas across Europe in terms of needs and development solutions. However, there is no clear, single exclusive model behind rural development given the multiple development paths, which result from various combinations of forces. In addition, there is concern about the application of rural development policy in recently incorporated countries to the EU. As a rule, rural development in Europe is related to agricultural development. The ultimate objective of the Common Agricultural Policy (CAP) is to guarantee and promote sustainability of rural areas in social, economic and environmental aspects. However, scarce empirical evidence exists on how such three-pronged goals are actually implemented and sustained in rural development processes and policy. This project will investigate the innovative role of cooperatives, and related rural actors (including academic institutions, commercial enterprises, NGOs, associations, etc.) in rural development as a useful tool to achieve such objectives and their importance in the “knowledge economy”. Five countries with strong agricultural cooperative sectors are involved: Spain, Italy, Ireland, Bulgaria and Serbia. Specific areas will be chosen in each country. Quantitative and qualitative and case study analysis will be carried out in exchanges between industry and academic institutions in order to identify successful models and also to investigate rural development strategies in recently incorporated EU countries.

Keywords: rural development,european rural areas,cooperatives,research
Web Accessibility Initiative (WAI) Ecosystem for Inclusive Design and Development WAI-Dev (WAI-DEV)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Coordination and support actions
Countries involved: France
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2014-04-01
End date: 2016-03-31
Duration (months): 24.0
Total project cost (EUR): 871575.0
EU funding (EUR): 499000.0
Participants: 1
Project status: CLOSED

WAI-Dev, Web Accessibility Initiative (WAI) Ecosystem for Inclusive Design and Development, will develop strategies to support mainstream production of inclusive components and services; demonstrate the potential value and showcase good practice in inclusive design; and support enhanced policy strategies for consistent adoption and implementation of accessibility by public and private sector organisations. WAI-Dev will primarily target the Web as the essential technical platform and universal interface for information and communication technology (ICT) through which to address the accessibility of advanced technologies and delivery channels including those for mobile devices, portable computers, digital television, telephony, and more. It will build upon recent technical and policy advancements in accessibility and on the cross-cutting benefits of accessibility for everyone regardless of age, gender, software, hardware, connectivity, language, literacy, digital skills, social and economic situations, and physical and mental abilities. It will thereby facilitate more mainstream market adoption of accessible and inclusive design-for-all practices throughout the production chain, and support implementation of accessibility policies and targets set by the European Commission and EU Member States. WAI-Dev will result in: Support for industrial strategies for the production of inclusive components and services; Demonstration of the social and economic value and of good practice in inclusive design; Enhanced policy strategies that support the adoption and implementation of accessibility. WAI-Dev will be led by the World Wide Web Consortium (W3C) Web Accessibility Initiative (WAI), through its European host, European Research Consortium for Informatics and Mathematics (ERCIM). It will utilise the open W3C consensus process and mobilise participation from W3C Member organisations as well as from the public to develop authoritative resources with significant market impact.

Keywords: inclusion,awareness,inclusive design,good practice,development
NUMERICAL METHODS AND TOOLS FOR KEY EXASCALE COMPUTING CHALLENGES IN ENGINEERING AND APPLIED SCIENCES (NUMEXAS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Special Action
Action type: Collaborative project
Countries involved: Spain,Spain,Germany,Greece
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 2175540.0
EU funding (EUR): 1673000.0
Participants: 5
Project status: CLOSED

Exaflop computing will make a considerable impact on several areas of engineering and applied sciences, where current high-end computing capabilities are deemed grossly insufficient. The overall aim of the NUMEXAS project is to develop, implement and validate the next generation of numerical methods to be run under exascale computing architectures. This will be done by implementing a new paradigm for the development of advanced numerical methods to really exploit the intrinsic capabilities of the future exascale computing infrastructures. The project covers RTD activities along the complete simulation pipeline: parallel pre-processing and grid generation, new numerical methods for parallel structured/unstructured multidisciplinary field solvers of high order, optimum design parallel solvers considering uncertainties and parallel in-solver visualization and feature extraction. The new numerical methods and software will be validated for a selected number of exascale size problems in engineering and applied sciences in state-of-the-art high performance computing platforms. The main outcome of NUMEXAS will be a new set of numerical methods and codes that will allow industry, government and academia to solve exascale-class problems in engineering and applied sciences in the next generation of exaflop computers with the efficiency and ease of use as today’s state-of-the-art codes. The consortium has a well-balanced distribution of institutions specialized in the development of numerical methods to solve grand challenge engineering and scientific problems (CIMNE, LUH-IKM and NTUA) and institutions hosting HPC facilities and supercomputing infrastructures (CESCA and LUH-HLRN). The partnership is completed with QUANTECH, an SME specialized in the development and marketing of simulation software for industrial forming processes.

Keywords: exascale computing,numerical methods,scalable parallel code,high performance computing challenges.
Smart Wearable Robots with Bioinspired Sensory-Motor Skills (BIOMOT)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: Spain,Belgium,Italy,Iceland,Japan,Spain,Spain
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 3868470.0
EU funding (EUR): 2680000.0
Participants: 9
Project status: CLOSED

Wearable robots (WR) are person-oriented devices, usually in the form of exoskeletons. These devices are worn by human operators to enhance or support a daily function, such as walking. WRs find applications in the enhancement of intact operators or in clinical environments, e.g. rehabilitation of gait function in neurologically injured patients. Most advanced WRs for human locomotion still fail to provide the real-time adaptability and flexibility presented by humans when confronted with natural perturbations, due to voluntary control or environmental constraints. Current WRs are extra body structures inducing fixed motion patterns on its user. The main objective of the project is to improve existing wearable robotic exoskeletons exploiting dynamic sensorimotor interactions and developing cognitive capabilities that can lead to symbiotic gait behavior in the interaction of a human with a wearable robot. BioMot will use and adapt available tools to reveal how neural circuits generate behavior, and to yield new strategies for co-adaptation during use of wearable robots for walking: - The systems will fuse the information from both interaction with the environment and human gait dynamics, and exploit this information for safe and natural locomotion adjusted to the user’s intentions and capabilities. - The proposed bioinspired cognition for WRs will consider the interplay between biomechanical and sensorimotor levels with a developmentally guided coordination. - It will establish advanced computational neuromusculoskeletal models based on dynamic sensorimotor interactions that are suitable as controllers for symbiotic interaction. - BioMot will produce guidelines and benchmarking for WRs to become available for human locomotion in realistic scenarios. BioMot proposes a cognitive architecture for WRs exploiting neuronal control and learning mechanisms which main goal is to enable positive co-adaptation and seamless interaction with humans.

Keywords: wearable robots,exoskeletons,human walking,tacit learning,compliant actuators,bioinspired control.
International Network Supporting Procurement of Innovation via Resources and Education (INSPIRE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Coordination and support actions
Countries involved: United Kingdom,Spain,France,Finland,Italy,Austria
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2015-09-30
Duration (months): 24.0
Total project cost (EUR): 557745.0
EU funding (EUR): 499000.0
Participants: 7
Project status: CLOSED

The INSPIRE project presents an outstanding effort to create practical impact on the use of Pre-Commercial Procurement instrument (PCP projects starting in partner Regions) and to strengthen forward looking procurement strategies in eHealth, Active Aging and Independent Living in partner Regions. This collective effort and learnings will also be shared with other EU actors through an electronic platform where key analysis, PCP templates and webinars will be stored for future use. The Lead Partners behind the INSPIRE initiative represent some of the most experienced PCP experts and PCP/PPI practitioners currently operating in the Health space in Europe. INSPIRE will create: - a sector-specific network of Contracting Authorities to foster demand for innovation. Focus will be on sharing and disseminating evidence on innovation procurement practices from EU- projects, and in particular promotion of the risk/benefit sharing aspects of these. We need to take into use new technologies and new ICT-based services, which should lead us towards better quality services and patient satisfaction as well as lower total system level costs. INSPIRE consortium will deliver evidence on how this can be done in practice. INSPIRE project will also focus on remodeling the public healthcare service procurement and innovation strategies and on the importance of fostering user involvement in the R&D&I processes and the use of real life testing environments. - a link between PCP / PPI and venture capital activities. R&D&I activities and in particular the prototype, testing and commercialization phases often phase difficulties in attracting sufficient external finance in an adequate timeframe. Linking PCP with Venture Capital can provide the missing boost to complete the Innovation chain in a manner which secures also the Business case. Venture capital firms need promising companies and do wish to invest in innovations for which there is an established need and most likely also a market.

Keywords: pre-commercial procurement (pcp) public procurement of innovation (ppi) acquisition strategies for innovative ict solutions in ehealth,active aging and independent living venture capital
Concept Creation Technology (CONCRETE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Creativity and Learning
Action type: Collaborative project
Countries involved: United Kingdom,Finland,Netherlands,Portugal,Slovenia,Spain,United Kingdom
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 3215963.0
EU funding (EUR): 2499523.0
Participants: 7
Project status: CLOSED

ConCrete aims to study conceptual creativity in humans and machines. Hierarchical memory representations and techniques for conceptual blending are implemented in context of a cognitive architecture of creativity based on information theoretic measures. ConCreTe serves a long-term vision of computer systems that can behave in ways comparable with human creativity, autonomously and interactively, with better interaction between human and machine, better autonomous systems in general, and possibly creativity of new kinds, not yet exhibited by humans. We anticipate on-line creative learning environments, to teach or support creative pursuits and promote creativity in humans. We anticipate immersive gaming and edutainment systems that respond creatively to users’ actions. We anticipate reasoning systems that can propose new technology not intended by their designers. This becomes possible with computationally-creative reasoning when necessary domain knowledge is made available. We use Semantic Web technology to avoid the bottleneck of domain modeling, so creative reasoning can be ready in advance. We focus on mechanisms for generating examples in the creative domain from a learned model, and mechanisms for evaluating generated examples according to novelty and value. We develop AI methodology for creative systems, to exploit the potential of creative computational resources for society. We develop computer systems to simulate conceptualisation by study of deliberately guided methods. We develop computer systems that can conceptualise new meaning in terms of, but not restricted by, its existing knowledge. We develop and implement a cognitive architecture that simulates human creativity, study it as a creative entity in its own right, and behaviourally and neuroscientifically as a model of human creativity. We develop new evaluation methods for computational creativity founded in behavioural study and user responses of software distributed by our exploitation partner.

Keywords: computational creativity,concept generation,knowledge representation and inference,cognitive science