Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Machine Translation Enhanced Computer Assisted Translation (MATECAT)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Italy,France,United Kingdom
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-11-01
End date: 2014-10-31
Duration (months): 36.0
Total project cost (EUR): 3368351.0
EU funding (EUR): 2650000.0
Participants: 4
Project status: CLOSED

Worldwide demand of translation services has dramatically accelerated in the last decade, as an effect of the market globalization and the growth of the Information Society. Computer Assisted Translation (CAT) tools are currently the dominant technology in the translation and localization market. These include spell checkers, terminology managers, electronic dictionaries, full-text search tools, concordancers, bitexts, translation memory (TM) managers, and machine translation (MT) engines. Recent achievements by the so- called statistical MT approach have raised new expectations in the translation industry. So far, statistical MT has focused on providing ready-to-use translations, rather than outputs that minimize the effort of a human translator. The MateCat project aims at pushing what can be considered the new frontier of CAT technology: how to effectively integrate statistical MT within the translation workflow. Pursuing this objective is definitely relevant to improve the European competitive position in the multilingual digital market as well as its scientific and technological leadership in this area. Europe’s flagship of statistical MT is currently represented by Moses, an open source toolkit now widely adopted by research labs and SMEs around the world. MateCat will build on this asset by joining the forces of three research labs, including the developers of Moses, and a Web-based language service provider, owner of MyMemory, the largest TM in the world. MateCat will pursue its ambitious goals by: (i) establishing new operating conditions for MT in the CAT scenario; (ii) making MT aware of its use, self-tuning to the task, learning from the user feedback, and more informative; (iii) developing and field testing a new CAT tool integrating novel MT functionalities. To foster rapid exploitation, MateCat will release its main outcomes in open source and set-up a User Group, including end-users, service providers, and technology developers.

Keywords: machine translation,computer assisted translation
STIFFness controllable Flexible and Learn-able manipulator for surgical OPerations (STIFF-FLOP)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: United Kingdom,Italy,Spain,Poland,Italy,Israel,Germany,Poland,Italy,Netherlands
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2012-01-01
End date: 2015-12-31
Duration (months): 48.0
Total project cost (EUR): 9554661.0
EU funding (EUR): 7350000.0
Participants: 12
Project status: CLOSED

Summary: In Minimally Invasive Surgery (MIS), tools go through narrow openings and manipulate soft organs that can move, deform, or change stiffness. There are limitations on modern laparoscopic and robot-assisted surgical systems due to restricted access through Trocar ports, lack of haptic feedback, and difficulties with rigid robot tools operating inside a confined space filled with organs. Also, many control algorithms suffer from stability problems in the presence of unexpected conditions. Yet biological “manipulators”, like the octopus arm and the elephant trunk, can manipulate objects while controlling the stiffness of selected body parts and being inherently compliant when interacting with objects. Contributions: We will design, build and operate an innovative soft robotic arm that can squeeze through a standard MIS port (e.g. 12 to 15 mm diameter Trocar port or 20 mm diameter umbilical single port), reconfigure itself and stiffen by hydrostatic actuation to perform compliant force control tasks while facing unexpected situations. We will address the complete system: the design and fabrication of the soft manipulator with a gripper at the tip, distributed sensing, biologically inspired actuation and control architectures, learning and developing cognition through interaction with a human instructor, and manipulating soft objects in complex and uncertain environments. We will advance the state of the art of embodied cognition through real world experiments on manipulators that can selectively control their stiffness and degrees of freedom morphing from a complete soft state to an articulated one. This variable stiffness robot arm will have many applications in MIS including NOTES (Natural Orifices Translumenal Endoscopic Surgery). With the support of KARL STORZ ENDOSCOPES, the European Association for Endoscopic Surgery (EAES) and three internationally-leading medical institutes (see support letters), we will test the soft arm in a minimally invasive robotic surgery application to demonstrate its feasibility.

Keywords: cognition in flexible robot manipulators,learning in unpredictable environments,bio-inspiration,medical robotics.
A novel concept for support to diagnosis and remote management of tremor (NEUROTREMOR)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Spain,Germany,Slovenia,Germany,Iceland,United States
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2012-02-01
End date: 2015-01-31
Duration (months): 36.0
Total project cost (EUR): 3370629.0
EU funding (EUR): 2443000.0
Participants: 7
Project status: CLOSED

Tremor is the most common movement disorder and is strongly increasing in incidence and prevalence with ageing. The most frequent types of tremor are those arising from two neurodegenerative disorders: Parkinson’s disease and essential tremor. Although not life threatening, upper limb tremors hamper independent life of 65% of those suffering from them, greatly impacting on their quality of life. Tremor is not effectively managed in 25 % of patients and is one of the most commonly misdiagnosed neurologic disorders. The main objective of the project is to validate technically, functionally and clinically, a novel system for understanding, giving support to diagnosis, and remotely managing tremors. The system will comprise two platforms: - The hospital-based platform will provide with detailed recordings of the central and peripheral nervous systems together with kinematic measurements. It will constitute the most advanced system to date for neurophysiological investigation of tremors, and will implement a novel machine tool to support diagnosis of tremors. - The neuroprosthetic platform will constitute a novel alternative for remote management of upper limb tremors. It will exploit neural and kinematic recordings both to drive a closed loop system to attenuate tremors based on neurostimulation of the afferent pathways, and to evaluate the status and evolution of the disorder. The platform will thus permit the neurologist remotely monitoring and adjusting the therapy. NeuroTREMOR consortium brings together world-class institutions in their respective fields. Some of the partners collaborated previously in the framework of EU and NIH projects aiming at understanding and managing tremor pathologies, accumulating considerable experience on proposing and validating novel therapies for tremor treatment. The consortium is strongly multidisciplinary with almost no overlapping of expertise among partners.

Keywords: tremor diagnosis,remote tremor management,neuromodulation through afferent stimulation,essential tremor,parkinsonian tremor,neurodegenerative diseases,neuroprosthetic,novel tremor therapy
Technology Platform for Point-of-Care Diagnostics for Tropical Diseases - EU (PODITRODI-EU)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: International Cooperation
Action type: Collaborative project
Countries involved: Germany,France,Finland,Italy,Portugal,Germany,Germany
Call:  (FP7-ICT-2011-EU-Brazil, 2011)
Start date: 2011-09-01
End date: 2014-11-30
Duration (months): 39.0
Total project cost (EUR): 1766606.0
EU funding (EUR): 1249085.0
Participants: 8
Project status: CLOSED

The diagnosis and discrimination of infectious diseases (such as leishmaniasis, dengue, malaria, HIV, chagas) in geographic regions with poor or low-density medical infrastructure is of high socioeconomic importance. While so-called “rapid in-vitro diagnostic (ivD) tests” for single diseases are already on the market, more complex analytical protocols are necessary to clearly identify a certain tropical disease AND to determine the status of the disease - the latter being crucial for proper treatment. Such complex analytical protocols would include liquid handling as well as sample preparation like transcription and amplification (PCR) of the virus` RNA (dengue, HIV) or the parasite (lechimaniasis, malaria, Chagas). These sample preparation steps are currently only available in laboratories and have not yet found their way in mass-producible, integrated point-of-care diagnostic tests. Thus, the PodiTrodi project aims to overcome the draw-backs of current Point-of-Care tests by developing technologies for really integrated (but low-cost!) sample preparation. The prototype to be developed for this proof of concept will be an instrument that integrates the heterogeneous Microsystems (biosensors and microfluidics), control electronics, sensor read-out, human-machine interface, embedded processor and power supply, in a self-contained unit, suitable for point-of-care diagnosis of the diseases selected as first targets. To achieve these challenging goals, PodiTrodi follows a multidimensional, multi-material system integration approach on four project “levels” (Heterogeneous System Integration, Instrumentation, Fabrication Infrastructure, Development Infrastructure). The Consortium comprises 8 partners from 5 European countries (Germany, France, Italy, Finland, Portugal) as well as 5 partners from Brazil (PodiTrodi-BR). They represent industry, research and academia and bring a range of complementary skills required for this multidisciplinary research project.

Keywords: heterogeneous system integration,micro systems,micro electronics,nano-surface,biosensor,microfluidics,point-of-care,chagas disease,dengue fever
A Decision Support System for Reducing CO2 and Black Carbon Emissions by Adaptive Traffic Management (CARBOTRAF)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for a low carbon economy
Action type: Collaborative project
Countries involved: Austria,United Kingdom,Belgium,United Kingdom,Belgium
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-09-01
End date: 2015-02-28
Duration (months): 42.0
Total project cost (EUR): 4353637.0
EU funding (EUR): 3060000.0
Participants: 8
Project status: CLOSED

The project aims to realize a method, system and tools for adaptively influencing traffic in real-time to reduce CO2- and black carbon (BC) emissions caused by road transport in urban and inter-urban areas. BC is suspected to be the second main contributor-next to CO2-to global warming. The inter-relationships between traffic flow and CO2- and BC emissions will be considered. In particular a model linking traffic flows to emission levels will be established on the basis of existing and new simulation methods and tools. The main goal of the project is the development, integration and evaluation of a real-time decision support system for adaptive traffic control and management. Real-time traffic information will be delivered by existing sensors and by a novel technology vision sensor, air quality sensors and additional data sources (e.g. weather conditions) enrich the data base to provide all relevant information in a unified fashion. Based on a data base of predefined traffic scenarios traffic control measures will be dynamically imposed. The impact of the measures on the overall CO2 - and BC emissions will be accounted for in the decision support system and will be assessed in the evaluation. Furthermore, the effects of reduced traffic on urban air pollutants (relevant for human health), with a special focus on BC as a pollutant, will also be considered, thus allowing to evaluate the value added of climate protection measures for the urban population. The system will be implemented and tested in two EU cities (Graz,AT and Glasgow,UK). This project brings together two important communities. The traffic community is represented by AIT, IBM, VITO, Österreichisches Forschungs- und Prüfzentrum Arsenal (ÖFPZ) and EBE-Solutions Austria with long standing experience in traffic monitoring, simulation, analysis and management. The air quality community is represented by Air Monitors UK, ETS, London Imperial College and again by VITO.

Keywords: co2 and black carbon emission reduction,adaptive traffic management,traffic and co2 and black carbon emission models,evaluation in test sites
Accessing Dynamic Networked Multimedia Events (INEVENT)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Switzerland,Israel,Germany,United Kingdom
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-11-01
End date: 2014-10-31
Duration (months): 36.0
Total project cost (EUR): 4333721.0
EU funding (EUR): 2893000.0
Participants: 6
Project status: CLOSED

The main goal of inEvent is to develop new means to structure, retrieve, and share large archives of networked, and dynamically changing, multimedia recordings, mainly consisting here of meetings, video-conferences, and lectures. Several partners of the inEvent consortium have indeed access to (and continuously generate) such large multimedia repositories, which keep being enriched everyday by new recordings, as well as social network data. The resulting resources often share common or related information, or are highly complementary, but also come from different sources, in different formats, and different types of metadata information (if any). Hence, it is still impossible to properly search across those very rich multimedia resources simply based on metadata. Exploiting, and going beyond, the current state-of-the-art in audio, video, and multimedia processing and indexing, the present project proposes research and development towards a system that addresses the above problem by breaking our multimedia recordings into interconnected “hyper-events” (as opposed to hypertext) consisting of a particular structure of simpler “facets” which are easier to search, retrieve and share. Building and adaptively linking such “hyper-events”, as a means to search and link networked multimedia archives, will result in more efficient search system, in which information can be retrieved based on “insights” and “experiences” (in addition to the usual metadata). Reaching the aforementioned goal requires challenging RTD efforts going much beyond current state-of-the-art in the fields of knowledge representation, audio processing, video analysis, semantics of information, and exploitation of social network information. Ultimately, the main goal of inEvent could thus be summarized as developing new ways to replace the usual “hypertext” links (linking “information” bits) by multi-faceted “hyper-events” (linking different “experiences/insights” related to dynamic multimedia recordings).

Keywords: networked multimedia events,indexing and searching,multimedia indexing,retrieval,searching,and sharing,social network data exploitation,hyper-events.
Linguistically Motivated Semantic aggregatIon engiNes (LIMOSINE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Netherlands,United Kingdom,Spain,Italy,Spain
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-11-01
End date: 2014-10-31
Duration (months): 36.0
Total project cost (EUR): 3401687.0
EU funding (EUR): 2500000.0
Participants: 6
Project status: CLOSED

We increasingly live our life online. Information is accumulated on a wide range of human activities, from science and facts, to personal content, opinions, and trends. Across the globe, people's knowledge, experiences and interactions effortlessly find their way to online outlets, alongside traditional edited content, ready to be shared with millions. LiMoSINe will integrate the research activities of leading researchers across diverse topics with a view to enabling new kinds of language-based search technology. The LiMoSINe vision is to transition access to online information from a document-centric search paradigm focused on returning disconnected atomic pieces to a truly semantic aggregation paradigm. In this new paradigm, machines will understand a user's intent, discover and organize facts, identify opinions, experiences and trends, all from inherently multilingual online sources and open knowledge repositories. LiMoSINe's aggregation engines will automatically organize search results in semantically meaningful ways. LiMoSINe has the following objectives: - To enable semantically structured access to multi-lingual online content; - To integrate deep linguistic processing in information extraction; - To support semantic mining where data-driven patterns are made human interpretable using the web of data; - To develop evaluation methods for rigorously assessing the effectiveness of semantic search and semantic aggregation in a lab-based setting; - To exploit its research results in three demanding multilingual use cases: (i) open-domain community question answering, (ii) online reputation management in a professional task-based setting, and (iii) intelligent content annotation and search on a photo-sharing platform. The components of LiMoSINe will be integrated through web services with solutions currently in place at the project's use case owners.

Keywords: information retrieval,aggregated search,deep linguistic analysis,cross lingual search,evaluation,semantic search,machine learning,user modeling,semantic aggregation
Digitally Integrated Scientific Data for Patients and Populations in User-Specific Simulations (DISCIPULUS)

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,United Kingdom,Spain,Italy,Germany
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-10-01
End date: 2013-06-30
Duration (months): 21.0
Total project cost (EUR): 1573537.0
EU funding (EUR): 1392999.0
Participants: 5
Project status: CLOSED

The DISCIPULUS SA aims at the grand challenge of the ‘Digital VPH Patient’. It is an avatar of the models and individual data that allow health prediction and disease treatment when the ‘Digital Me’ of a citizen needs to avail itself of health services. In essence, it constitutes a revolutionary Clinical Prediction and Decision Support System. To realise this vision, DISCIPULUS develops a sound ICT research and innovation roadmap, informed by consultation and engagement of diverse groups from modellers and technology developers to end users, healthcare providers and regulators. The final goal is to deliver a single, universally useful, all-encompassing VPH-based avatar. To prepare for this, DISCIPULUS consolidates relevant RTD results by examining critically the state-of-play of both research and innovation throughout the VPH Community. It documents and maps output central to the successful realisation of the Digital Patient. It captures and quantifies the needs of stakeholder communities, particularly those of clinicians and patients, which are key for the crafting of a successful, usable Digital Patient. The structure of DISCIPULUS has been designed to optimise interactions between workpackages. Technical activities (analysis of scientific/technical challenges, translation/clinical scenarios) & roadmap production are facilitated by operational activities (management, community building/engagement, dissemination). The five consortium partners, supported by global experts, assemble all the expertise needed to assure excellence of the final roadmap. DISCIPULUS lasts for 18 months, the minimum time span to fully engage the VPH community and the diverse stakeholders, and to deliver high quality results. Effort of 145 PMs is estimated, EC contribution solicited is about €1.4m, with substantial own contributions of €500k. A strong impact is anticipated on buttressing EU leadership in VPH research, industrial exploitation, quality and sustainability of future healthcare.

Keywords: digital patient,medical avatar,ict for health,computational integrative physiology,roadmap
Development of a wind-wave power open-sea platform equipped for hydrogen generation with support for multiple users of energy (H2OCEAN)

Framework: FP7 — Cooperation
Programme: Transport (including Aeronautics)
Destination: Sustainable surface transport (INCLUDING THE �EUROPEAN GREEN CARS INITIATIVE�)
Action type: Collaborative project
Countries involved: Spain,Germany,Germany,Denmark,Spain,Italy,United Kingdom,Spain,Denmark,Italy,United Kingdom,Spain,United Kingdom,Denmark
Call:  (FP7-OCEAN-2011, 2011)
Start date: 2012-01-01
End date: 2014-12-31
Duration (months): 36.0
Total project cost (EUR): 6501858.76
EU funding (EUR): 4525934.0
Participants: 19
Project status: CLOSED

The rational exploitation of oceans’ space and resources is increasingly seen as crucial to enhance European competitiveness in key areas such as Renewable Energy and Aquaculture. The H2OCEAN consortium aims at developing an innovative design for an economically and environmentally sustainable multi-use open-sea platform. The H2OCEAN platform will harvest wind and wave power, using part of the energy on-site for multiple applications – including a multi-trophic aquaculture farm, and convert on-site the excess energy into hydrogen that can be stored and shipped to shore as green energy carrier. The project builds on already on-going R&D and commercial activities of a partnership involving European leading industrial and academic partners from 5 countries within the fields of renewable energy, fish farming, hydrogen generation, maritime transports and related research disciplines. The unique feature of the H2OCEAN concept, besides the integration of different activities into a shared multi-use platform, lies in the novel approach for the transmission of offshore-generated renewable electrical energy through hydrogen. This concept allows effective transport and storage the energy decoupling energy production and consumption, thus avoiding the grid imbalance problem inherent to current offshore renewable energy systems. Additionally, this concept also circumvents the need for a cable transmission system which takes up a significant investment share for offshore energy generation infrastructures, increasing the price of energy. The envisaged integrated concept will permit to take advantage of several synergies between the activities within the platform significantly boosting the Environmental, Social and Economic potential impact of new maritime activities, increasing employment and strengthening European competitiveness in key economic areas.

Keywords: wind-wave energy,multi-trophic aquaculture,maritime activiites,maritime spatial planning,offshore renewables,hydrogen generation,surveillance