Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Semantic Data Platform for Healthcare (SEMCARE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Germany,Netherlands,Austria,United Kingdom,Spain
Call:  (FP7-ICT-2013-SME-DCA, 2013)
Start date: 2014-01-01
End date: 2015-12-31
Duration (months): 24.0
Total project cost (EUR): 1875421.0
EU funding (EUR): 1499000.0
Participants: 5
Project status: CLOSED

The aim of SEMCARE is to build a semantic data platform to support clinical trials. The platform will identify patient cohorts based on patient-level criteria (e.g. age, gender, diagnosis, indication, symptoms, lab results) scattered in heterogeneous clinical data. As most of patient-level data is unstructured, language technologies are necessary to extract and exploit the relevant data. Our platform combines the power of full text search with text analytics and semantic web technologies for a hybrid semantic full-text search. It will enable semantic integration of different data sources for information extraction, document retrieval, analytics and visualization. SEMCARE addresses the ever growing need to exploit medical data from clinical trials and for monitoring and improving healthcare delivery. The platform has the potential to provide for a more efficient, scalable method of patient recruitment for clinical trials; up to 80% of clinical trials fail to meet their patient enrolment quotas on time and SEMCARE will help prevent this. Recruitment delay currently causes up to $8 million per day in loss of revenue for the biopharmaceutical industry. The platform will also be capable to detect undiagnosed patients with rare diseases based on sign and symptom combinations. This has the potential to speed up the research on this group of diseases, which constitute a highly attractive market for pharmaceutical companies, up to 300,000 USD drug revenue per year and patient. The SEMCARE consortium includes passionate players from the demand and supply sides. Hospitals in three different European countries serve as pilot sites and have particular interests in applying SEMCARE in their clinical research activities. The SMEs AVERBIS and SYNAPSE have a clear interest in the exploitation of the results. Regarding commercialization, a pharmaceutical partner network that has a genuine interest in supporting the dissemination of our results will be established.

Keywords: language technologies,text mining,enterprise search,healthcare analytics,semantic data platform
Cross-Layer Early Reliability Evaluation for the Computing cOntinuum (CLERECO)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Italy,Greece,France,France,Norway,Spain,Sweden,Spain,Italy
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-11-30
Duration (months): 38.0
Total project cost (EUR): 3872668.0
EU funding (EUR): 2555000.0
Participants: 10
Project status: CLOSED

Advanced multi-functional computing systems realized in forthcoming manufacturing technologies hold the promise of a significant increase in device integration density complemented by an increase in system performance and functionality. However, a dramatic reduction in single device quality and reliability is also expected. CLERECO research project recognizes early accurate reliability evaluation as one of the most important and challenging tasks throughout the design cycle of computing systems across all domains. In order to continue harvesting the performance and functionality offerings of technology scaling, we need to dramatically improve current methodologies to evaluate the reliability of the system. On one hand, we need accurate methodologies that reduce the performance and energy tax paid to guarantee correct operation of systems. The rising energy costs needed to compensate for increasing unpredictability are rapidly becoming unacceptable in today’s environment where energy consumption is often the limiting factor on integrated circuit performance. On the other hand, early “budgeting” for reliability has the potential to save significant design effort and resources and has a profound impact on the TTM of a product. CLERECO addresses early reliability evaluation with a cross-layer approach across different computing disciplines, across computing system layers and across computing market segments to address reliability for the emerging computing continuum. CLERECO methodology will consider low-level information such as raw failure rates as well as the entire set of hardware and software components of the system that eventually determine the reliability delivered to the end users. The CLERECO project methodology for early reliability evaluation will be comprehensively assessed and validated in advanced designs from different applications provided by the industrial partners for the full stack of hardware and software layers.

Keywords: reliability,fault tolerance,embedded computing,high-performance computing,statistical models
Bridging the Entrepreneurial Gap: Transforming European ICT Research into Investment Opportunities (ICT2B)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Horizontal Actions
Action type: Coordination and support actions
Countries involved: Germany,Greece,Netherlands,United Kingdom,Israel
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-09-01
End date: 2015-09-30
Duration (months): 25.0
Total project cost (EUR): 525258.0
EU funding (EUR): 498996.0
Participants: 5
Project status: CLOSED

This ICT2B proposal aims to develop bridges and bring together ICT researchers and entrepreneurial minded individuals with different backgrounds and from many European countries. As a consequence, it will promote the creation of entrepreneurial and innovative ICT start-ups that exploit products and services developed from EU funded ICT R&D projects. The ICT industry in Europe accounts for c.4% of the total EU GDP and is a growing sector; yet despite the comparatively high level of ICT research funded by the European research the level of commercialisation as well as the European private investments in ICT start-ups remain low. The vision of the ICT2B project is to create a long-lasting mechanism, in the form of an annual double event that will facilitate the commercial exploitation of European-funded ICT research project outcomes leading to the creation of European high tech start-ups. The project will target young ICT researchers in EU funded projects and partner them with graduate business students with to promote interaction between the two groups and eventually the creation of more innovative international entrepreneurial start-ups based on high-technology research intensive ICT products and services. It is the intention of this support action, which builds, e.g. on the network of the EIT ICT Labs and on the exisiting web platform WebGenesis (owned by Fraunhofer), to provide a model for increasing the commercialization of ICT research with high growth potential and promote the development of entrepreneurial and enterprising awareness and skills among those participating ICT researchers.

Keywords: eu funded research results,business students,start-ups,born globals,venture capital,research results commercialization,business mentoring,dissemination
Symbiotic Mind Computer Interaction for Information Seeking (MINDSEE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: Finland,Italy,United Kingdom,Germany
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 3779783.0
EU funding (EUR): 2990000.0
Participants: 5
Project status: CLOSED

While real time analysis of user states based on signals from the brain and peripheral physiology have made progress (as separate branches of research), the possibility to predict intentions and infer implicit user variables is still a grand challenge in real-world applications. As a novel approach, MindSee proposes to fuse EEG as a main sensor with peripheral physiological sensors (EDR, fEMG, eye gaze and pupillometry) and context information for an unobtrusive acquisition of implicit measures of perception, cognition and emotions. Real-time estimates of these hidden user states will be exploited to complement keyboard and gestural input exemplary in the real-world application of scientific literature search where the information exploration of the user is guided by a co-adaptation with the computer. The proposed Symbiotic Information Seeking System will provide a wide range of visualization resources adapting information retrieved and its relevance, cognitive ergonomic complexity, and aesthetic aspects. For the target application of scientific literature search, MindSee builds upon a cutting-edge retrieval system that has access to 50 million documents from the main scientific databases. MindSee will be developed in an iterative approach with three full cycles of implementation and evaluation of increasingly complex symbiotic interactions in information seeking. The iterative evaluation of MindSee technology and validation of underlying methods will be done in realistic user experiments with user groups of different skills and areas. The MindSee project will develop a new symbiotic information retrieval system capable of more than doubling the performance of information seeking in realistic tasks, compared to mainstream tools. MindSee symbiotic interaction will deliver solutions to increase productivity and creative potential. Several MindSee results are exploitable and applicable to other information seeking contexts beyond scientific literature search!

Keywords: information retrieval,eeg,machine learning,symbiotic interaction,eye-tracking,bci,brain-computer interface,co-adaption,hci,human-computer interaction
Advanced Methods for Analyzing and Improving the Reliability and Security of Novel Environmental-friendly Wireless Devices for Internet of Things (ADVIOT)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Research Staff Exchange Scheme
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: Finland,United Kingdom,France,United Kingdom
Call:  (FP7-PEOPLE-2013-IRSES, 2013)
Start date: 2013-11-01
End date: 2017-10-31
Duration (months): 48.0
Total project cost (EUR): 548100.0
EU funding (EUR): 548100.0
Participants: 5
Project status: CLOSED

This project aims at strengthening research partnerships through staff exchanges and networking activities between 4 European research organizations, from Finland, United Kingdom, and France, and 4 organisations from China and Japan. It is based on a 4 years coordinated joint programme of exchange of researchers for periods of 1-12 months, thus providing mobility possibilities to individual researchers and support to research organisations to establish and reinforce long-term research co-operation. An important part of AdvIOT is the early stage researcher training, where early career researchers get a chance for international collaboration and high quality knowledge transfer by well organized and guided international secondments and conference attendances. In addition to active researcher exchange, five workshops will be organized during this project. The project has developed on the basis of active bilateral cooperation plans between individual countries and partners. The IRSES scheme provides a unique opportunity to integrate those collaboration ideas into a coherent programme addressing an issue of high priority on the agenda of EU, China, and Japan. The programme of exchange is focused on novel RFID- and WSN-based green IOT devices with renewable materials that will be developed for different applications by using additive manufacturing methods. As a result of the AdvIOT, novel tools for testing, analyzing, and improving the reliability and security of these new devices in various demanding applications and environments, such as in healthcare, disaster prevention, and intelligent transportation, will be achieved. Four topics have been identified as most relevant for all partners involved in the joint programme: Design of novel environmental-friendly RFID and WSN devices, Manufacturing of these new devices, Reliability of these wireless devices, and Security of the wireless communication between these devices.

Keywords: additive manufacturing,green electronics,internet of things,renewable materials,reliability,rfid,security,wsn
Technological Evolution of Synergy Between Physicochemical and Living Systems (EVOBLISS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Denmark,United Kingdom,Germany,United Kingdom,Denmark,Italy
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2014-02-01
End date: 2018-01-31
Duration (months): 48.0
Total project cost (EUR): 3342623.0
EU funding (EUR): 2555978.0
Participants: 6
Project status: CLOSED

We will develop artificial, technological evolution and use it to design functional ecosystems consisting of up to three forms of living technology, namely, artificial chemical life, living microorganisms, and complex chemical reaction networks for the purpose of improved treatment and cleanup of wastewater for energy generation. The goals of this project are i) develop a general, robotic platform, which by using artificial evolution can optimize the performance of a physicochemical or microbial system and its environment and ii) use the robotic platform to evolve improved microbial fuel cells in terms of robustness, longevity, or adaptability. The robot evolutionary platform will take the form of an open-source 3D printer extended with functionality for handling liquids and reaction vessels, and for obtaining feedback from the reaction vessels either using computer vision or task-specific sensors in real-time. The robot platform will optimize parameters such as the environment, hydraulics or real-time interaction with experiments (for instance, timing of injection of nutrients, removal of metabolic products, stirring, etc.) to maximize a desired functionality. Initially, we investigate processes such as fluid-structure-interaction driving bio-aggregate structure and in turn metabolic activity as well as the interaction of nanoparticles and bacterial cells by analyzing the outcome of the evolutionary process using state-of-the-art imaging techniques. We then seek to exploit synergies between these technologies to significantly improve the ability of the living technology, in the form of optimized microbial fuel cells, to cleanup wastewater. Overall, this is a cross-disciplinary project involving state-of-the-art chemistry, imaging, robotics, artificial life, microbiology and bio-energy harvesting for the purpose of enhancing our understanding of living technologies and how to best design and exploit groundbreaking bio-hybrid systems.

Keywords: robotics,rapid prototyping,artificial chemical life,artificial intelligence,microbial fuel cells,biofilms,multi-scale imaging
NEurocontrolled BIdirectional Artificial upper limb and hand prosthesiS (NEBIAS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Italy,Germany,Spain,Italy,Germany
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-11-01
End date: 2018-01-31
Duration (months): 51.0
Total project cost (EUR): 4553551.0
EU funding (EUR): 3464600.0
Participants: 6
Project status: CLOSED

The NEBIAS (“NEurocontrolled BIdirectional Artificial upper limb and hand prosthesiS”) proposal aims at developing and clinically evaluating (in selected amputees) a neuro-controlled upper limb prosthesis intuitively controlled and felt by the amputee as the natural one. This will be possible by means of a novel neural interface able to provide a stable and very selective connection with the nervous system. This goal will be achieved by combining microtechnology and material science and will allow, on one side, recording of the motor-related signals governing the actions of the amputated hand/arm for the motion control of a mechanical prosthesis, and on the other providing sensory feedback from tactile and kinesthetic sensors through neuromorphic stimulation of the adequate afferent pathway within the residual limb. The NEBIAS proposal is also aimed at finding out the ‘language’ intrinsically linking central nervous system with peripheral nerve signals in order to govern simple and complex hand/fingers movements. To reach this goal, a variety of techniques exploring brain and nerve functions will be assembled and integrated; this includes the analysis of electromagnetic brain and nerve signals, as well as of movement-related changes in brain's blood flow/metabolism.

Keywords: neural engineering,neural prosthetics,bionics,artificial limbs
MINImising Carbon footprint in maritime sHIPping (MINI-CHIP)

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: United Kingdom,Türkiye
Call:  (FP7-PEOPLE-2013-IAPP, 2013)
Start date: 2013-09-01
End date: 2017-08-31
Duration (months): 48.0
Total project cost (EUR): 493104.0
EU funding (EUR): 493104.0
Participants: 3
Project status: CLOSED

Sea transport is a vital component of the world’s economy as the largest carrier of freight around the globe. Marine shipping is responsible for about 3.3% of the global greenhouse gas (GHG) emissions. International Maritime Organization in 2009 has set the target for 15% reduction in the maritime emissions by 2018. This requirement calls for further research into minimising carbon footprint of marine shipping through collaboration between industry and academia. The MINI-CHIP project aims to respond to this call in a timely manner. Earlier research on reducing carbon footprint of marine shipping has regarded GHG emissions as an implicit objective surrogated by fuel consumption and cost which could be combined with other items (such as penalty charges). It would be more illuminating for shipping companies to analyse trade-offs in the operational decisions including energy consumption and GHG emissions as explicit decision criteria. Such approach will support informed decision making through assessing the environmental impact of the operational decisions in maritime transport. To the best of our knowledge, no prior research has addressed minimising carbon footprint of marine shipping as an explicit objective alongside service level and cost objectives in a stochastic environment. MINI-CHIP project aims to address this gap by developing mathematical formulations of marine shipping operations as a stochastic optimisation problem to minimise carbon footprint whilst optimising service level and cost. Novel metaheuristic search techniques and simulation models will be developed within a simulation-optimisation framework. The innovative solution techniques will form the core of a decision support tool for industrial applications. The prospective decision support tool will help reducing environmental impact and contributing to economic prosperity of marine shipping in Europe and around the world and contribute to the transition of Europe to low carbon economy.

Keywords: green maritime routes,shipping operations,meta-heuristic opmization,simulation
Structure, strength and invasibility of aphid food webs (APHIWEB)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Research Staff Exchange Scheme
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: France,France,Italy,Spain,Austria,Germany
Call:  (FP7-PEOPLE-2013-IRSES, 2013)
Start date: 2014-02-01
End date: 2018-01-31
Duration (months): 48.0
Total project cost (EUR): 394800.0
EU funding (EUR): 394800.0
Participants: 7
Project status: CLOSED

The project aims at characterizing and comparing food webs associated with aphids developing on 6 distinct ecosystems in native vs. invaded areas (continents). By considering food webs associated with pest insects and comparing food web structure & functioning on an international scale, we will broaden our understanding of processes underpinning food web functioning and herbivore population regulation. We will also document structural and functional changes owing to migration or invasion processes. Comparison of food webs in native and invaded regions will also focus on factors structuring trophic networks associated with aphid pests in various ecosystems worldwide. The key actions will be to: (1) Develop molecular identification techniques to detect trophic links in field collected samples. Ease of implementation should be aimed at (2) Create food webs: quantify trophic links between aphids, their natural enemies and other key species. Standardized sampling protocols will be used in the various ecosystems at various locations worldwide (3) Use existing food web analysis methods and develop new ones to quantify changes in food webs on an international scale (4) Investigate determinants and mechanisms affecting the outcome of invasion (or introduction for classical biological control) of aphid-associated alien species The scope of potential results of the project is wide. Aphids being a worldwide pest, food web studies can provide crucial data for biological control applications, from classical to conservation approaches. The international scale of the study will enable investigating biogeographic hypotheses, which are a valuable contribution to ecological theory but are also applicable to biosecurity, e.g. safety of classical biological control programs for endemic biodiversity. Possible additional local scale comparisons and studies would provide information documenting theories on apparent competition, host range, specialization and their effects on trophic levels

Keywords: food web,invasive species,aphid pests,natural enemies,biological control,parasitoid specialization