Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Data Publishing through the Cloud: A Data- and Platform-as-a-Service Approach for Efficient Data Publication and Consumption (DAPAAS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Norway,Bulgaria,United Kingdom,United Kingdom,Korea, Republic of
Call:  (FP7-ICT-2013-SME-DCA, 2013)
Start date: 2013-11-01
End date: 2015-10-31
Duration (months): 24.0
Total project cost (EUR): 2173746.0
EU funding (EUR): 1499000.0
Participants: 6
Project status: CLOSED

While in recent years a large number of datasets has been published as open (and often linked) data, applications utilizing these open and distributed data have been rather few. Reasons include, amongst others, the technical complexity and cost of publishing and providing access to the data, lack of monetization incentives on the provider side, and lack of simplified and unified solutions for data consumption in a multi-platform way. The DaPaaS project directly addresses these challenges by developing a software infrastructure combining Data-as-a-Service (DaaS) and Platform-as-a-Service (PaaS) for open data, with the aim of optimizing publication of Open Data and development of data applications. Addressing the data consumption aspect by developing novel cross-platform interfaces to data applications, DaPaaS extensively covers the life cycle of cost-efficient data publishing and consumption. Backed by the development of a methodology for data use in the DaPaaS infrastructure, the project will deliver an intuitive platform that simplifies data publication, as well as cross-platform data consumption, thus enabling a sustainable infrastructure for efficient and simplified reuse of open data. Core innovations include: an open DaaS and PaaS, unified Linked Data access, integrated DaaS and PaaS for open data, lowering the complexity of open data publishing and consumption for non-experts. Sustainable exploitation of the project results is ensured through a strong participation of SMEs in the consortium. The participating SMEs are among the world’s leading organizations in the field of Open Data, with strong knowledge transfer experience and unique technologies in Linked Data, Semantic Web, data integration and mobile development, with strong links across both public and private sectors, and are committed to a joint development of unique technologies for effectively and efficiently supporting the life cycle of reuse of open data.

Keywords: data-as-a-service,platform-as-a-service,open data,liked data,cloud computing,data publication and consumption,multi-platform data access,data publication methodology,data integration
Self-Adaptive Virtualisation-Aware High-Performance/Low-Energy Heterogeneous System Architectures (SAVE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Italy,France,Greece,United Kingdom,United Kingdom,Germany
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-09-01
End date: 2016-08-31
Duration (months): 36.0
Total project cost (EUR): 4235318.0
EU funding (EUR): 2930000.0
Participants: 7
Project status: CLOSED

The increasing availability of different kinds of processing resources in Heterogeneous System Architectures (HSA) associated with today’s fast-changing, unpredictable workloads (e. g. of mobile or cloud-computing contexts), has propelled an interest towards self-adaptive systems that dynamically reorganise system resources to optimise for a given goal (e.g., performance, energy, reliability, resource utilisation). Hardware-assisted virtualisation is a key enabling technology for such HSAs; however it is available only for general-purpose CPUs, while heterogeneous resources, e.g. GPUs or FPGA-based dataflow engines (DFEs), currently do not support it. Thus, the performance/energy- efficiency benefits of these accelerators cannot be exploited in a self-adaptive HSAs that relies on virtualisation. The SAVE (Self-Adaptive Virtualisation-Aware High-Performance/Low-Energy Heterogeneous System Architectures) project will develop a stack of hardware, software and OS components that allow for deciding at run-time to execute tasks on the appropriate type of resource, based on the current system status/environment/application requirements. This objective is supported by two main innovations: 1. novel runtime OS components to manage the HSA by migrating task (or virtual machine) execution among CPUs, GPUs and DFEs, and 2. hardware-assisted virtualisation support for GPUs and DFEs. The project outcome will be an improved HSA with self-adaptation providing not only runtime reaction to changes, but also the means to dynamically achieve optimisation goals based on the current context. To this end, SAVE brings together experts from HPC and ES to benefit from high performance, power-efficient solutions, as well as self- adaptive fine-tuning of heterogeneous resources. SAVE technology will be demonstrated on development platforms that consist of state-of-the-art processor, network-on-chip, GPU, and DFE components using applications across both domains.

Keywords: self-adaptive computing systems,heterogeneous system architectures,virtualisation,on-demand computing,gpu,dfe
EUMSSI- Event Understanding through Multimodal Social Stream Interpretation (EUMSSI)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Spain,France,Germany,Switzerland,Germany,Germany
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-12-01
End date: 2016-11-30
Duration (months): 36.0
Total project cost (EUR): 3262995.0
EU funding (EUR): 2480000.0
Participants: 7
Project status: CLOSED

The main objective of EUMSSI is developing technologies for identifying and aggregating data presented as unstructured information in sources of very different nature (video, image, audio, speech, text and social context), including both online (e.g., YouTube) and traditional media (e.g. audiovisual repositories), and for dealing with information of very different degrees of granularity. The multimodal analytics will help organize, classify and cluster cross-media streams, by enriching its associated metadata. A core idea is that the process of integrating content from different media sources is carried out in an interactive manner, so that the data resulting from one media helps reinforce the aggregation of information from other media, in a cross-modal interoperable semantic representation framework. This will be accomplished thanks to the integration in a multimodal platform of state-of-the-art information extraction and analysis techniques from the different fields involved. Interoperability and interactive reinforcement of the data aggregation and a high-level semantic, conceptual and eventive representation will distinguish this proposal from others that incorporate multimodal search. The resulting platform will be potentially useful for any application in need of cross-media data analysis and interpretation, such as intelligent content management systems, personalized recommendation, real time event tracking, content filtering, etc. The project brings together 5 universities and research centres, a public service broadcaster and a SME providing solutions for the media industry. The real-world necessities of the 2 user partners motivate two strong user cases that have immediate market applicability. We also expect EUMSSI, which covers English, German, Spanish and French, to promote interaction and mutual knowledge among the diverse linguistic communities within Europe.

Keywords: cross-media data analysis and interpretation,multimodal analytics,intelligent content management systems,personalized recommendation,real time event tracking,content filtering,multimodal
Connecting ICT and Art communities: new research avenues, challenges, and expected impact (FET-ART)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Coordination and support actions
Countries involved: France,United Kingdom,Netherlands,United Kingdom
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-06-01
End date: 2014-05-31
Duration (months): 12.0
Total project cost (EUR): 607854.0
EU funding (EUR): 542000.0
Participants: 5
Project status: CLOSED

The FET-ART project stems from the “ICT & ART Connect” event that took place in Brussels in April 2012 under the aegis of the FET Unit, with an important support and contribution of several FET-ART partners. This event clearly confirmed that a great potential exists in fostering dialogue between ICT and Art practitioners, and this is the right time to efficiently support such dialogue in order to contribute to the emergence of novel FET research topics and the identification of new emerging research areas for H2020 in the ICT domain and beyond. Within this context, a FET-ART balanced partnership of committed organisations has been formed, offering renowned expertise in the ICT and Art domains, important connections with ICT and Art practitioners in Europe and worldwide, many references at the ICT and Art interface, and longstanding experience of planned activities. The FET-ART consortium will, over the 12-month project period, connect the European ICT and Art communities, and foster productive dialogue and collaborative work between them, in order to identify new research avenues, associated challenges, and the potential impact of ICT and Art collaboration on science, technology, art, education and society in general. FET-ART will more precisely: • Organise “consultation events and matchmaking events” in at least five European locations, • Support at least 15 “pilot projects” of collaborative work between ICT and Art practitioners in residencies, seen as “proofs of concept” for some promising research topics or directions, particularly “co-creation” and “citizen engagement in ICT”, • Organise a final open event in Brussels, part of an ambitious set of project outreach activities: web platform, community building, contribution to events, including to ICT 2013 and to the next edition of the “ICT & ART Connect” event which the project will support. In order to ensure some coherence to the external perception of the activities developed under the aegis of DG Connect and aiming at connecting ICT & Art communities, the project will be officially presented to external stakeholders as “The ICT & Art Connect initiative (developed through the FET-ART project supported by the European Commission).”

Keywords: ict & art,new research avenues,co-creation,public engagement,interdisciplinarity
SYSTEMS-BASED VIEW OF MELANOMA PROGRESSION: TOWARDS NOVEL DIAGNOSTIC (AND THERAPEUTIC) APPLICATIONS (SYS-MEL)

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: Ireland,Belgium,United Kingdom,United Kingdom
Call:  (FP7-PEOPLE-2013-IAPP, 2013)
Start date: 2013-11-01
End date: 2017-10-31
Duration (months): 48.0
Total project cost (EUR): 1814000.0
EU funding (EUR): 1814000.0
Participants: 7
Project status: CLOSED

Worldwide figures show that there were 160,000 incidences of melanoma in 2002, whilst 39,000 died from the disease. These upward trends are worrying, as malignant melanoma is one of the most difficult cancers to treat, due to its ability to spread quickly and its resistance to standard chemotherapeutic agents. In order to counteract this trend, targeted therapies that inhibit melanoma metastasis are required. The aim of SYS-MEL is to identify and validate prognostic and predictive biomarkers for melanoma, and to model the predictive value of these biomarkers in determining the efficacy of melanoma therapies. The central objective is to bring together four European academic institutes and two SMEs to develop 3 prognostic/predictive biomarker assays for melanoma. 3 core areas of interest are epigenetics, signalling pathways in melanoma and systems biological approaches for predicting chemotherapy responses. SYS-MEL will have three main elements: 1) Epigenomic and protein expression analysis of melanoma tissue, to validate an epigenomic signature initially identified in the FP7-funded programme Target-Melanoma; 2) In silico modelling and prediction of patient responses to decarbazine DTIC using both in vitro analysis of apoptotic pathways and a novel systems biology approach, incorporating mathematical systems modelling, quantitative biochemistry and cell biology; 3) Investigating the components of the P-Rex1 pathway that are involved in driving the migration of melanoblast cells, and thus the progression of metastasis, incorporating a computational system tailored to model complex signalling pathways. This approach will enable us to identify prognostic and predictive biomarkers for melanoma, and to develop a powerful computational modeling approach to predict disease progression and patient responses to treatment.

Keywords: melanoma,systems biology,signalling pathways,prognostic test,biomarker,companion diagnostic,dtic,apoptosis
Towards a European Roadmap on Research and Innovation in Engineering and Management of Cyber-physical Systems of Systems (CPSOS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Coordination and support actions
Countries involved: Germany,Netherlands,France,United Kingdom
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-06-30
Duration (months): 33.0
Total project cost (EUR): 687723.0
EU funding (EUR): 561000.0
Participants: 4
Project status: CLOSED

CPSoS is a 30-month Support Action that will provide an exchange platform for Systems of Systems (SoS) related projects and communities. It will focus on the challenges posed by the engineering and the operation of technical systems in which computing and communication systems interact with large complex physical systems. Its approach will be simultaneously integrative, aiming at bringing together knowledge from different SoS related communities and applications driven. It will bridge between the different approaches to the design, analysis and control of systems of systems that are pursued by different communities in theory and applications and relate the methods and tools proposed for dealing with SoS to key application domains which are important for Europe’s competiveness as well as for the well-being of its citizens. The project will examine in depth application-specific issues, capture cross-industry and cross-application findings and propose new avenues for SoS analysis, design and control, towards a science of systems of systems and a European R&I agenda on SoS, involving different scientific communities, application domain experts, end-users and vendors. Three Working Groups will be created: on SoS in Transportation and Logistics, Physically connected SoS, and Tools for SoS Engineering and Management. Public events will be organised in conjunction with the Working Group meetings, floor will be given to SoS-related projects to expose their outcomes. The contributions will be summarized in a concise strategic policy document “European Research and Innovation Agenda on Cyber-physical Systems of Systems”, supported by a set of in-depth technical papers, and presented at a symposium "Cyber-physical Systems of Systems Meeting Societal Challenges". The project will prepare the EU stakeholders for extracting a competitive advantage from the recent and the future developments in the area of SoS.

Keywords: systems of systems,cyber-physical systems,engineering,european research agenda,transportation and logistics,industrial production,electrical grids,water networks,building
OPTICAL BIOPSY PEN: A COMPACT AND LOW-COST DIAGNOSTIC TOOL FOR DERMATOLOGY BASED ON HIGH-PERFORMING INTEGRATED OCT (BIOPSYPEN)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Austria,Finland,Netherlands,Spain,United Kingdom,Switzerland
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2017-03-31
Duration (months): 42.0
Total project cost (EUR): 4662930.0
EU funding (EUR): 3600000.0
Participants: 9
Project status: CLOSED

Optical coherence tomography (OCT) is an emerging optical diagnosis that enables in vivo tomographic visualization for non-invasive optical biopsy. OCT has proven its value primarily in ophthalmology, but recently also in dermatology. However, wide adoption has not taken place due to size and cost limitations as well as non-existence of handheld devices. Hence BIOPSYPEN will develop a new OCT generation with step-changes in size and cost beyond state-of-the-art to radically transform OCT instrumentation for handheld point-of-care diagnosis. In contrast to conventional approaches, BIOPSYPEN’s OCT is based on integrated optics, more precisely on hybrid integration of silicon photonics with III-V sources, enabling a significantly smaller, low-cost, compact and maintenance free alternative. BIOPSYPEN will target complementary research to develop an unprecedented compact (pencil-like), reliable, low-cost, battery-operated, wireless handheld OCT device in combination with an embedded system based external console to receive two-and three-dimensional tomograms for instantaneous post processing and visualization as well as immediate diagnosis. BIOPSYPEN will contribute to a significantly wider adoption of OCT in real clinical point of care settings. Early diagnosis of skin cancer and inflammatory skin diseases are envisaged. Skin cancer will be used as a surrogate for other epithelial cancers, e.g. oral, gynaecologic or gastrointestinal cancer. Partnerships with leading innovative clinical users will enable preclinical evaluation. Through the use of integrated optics in combination with complementary cutting-edge technologies, BIOPSYPEN will dramatically reduce cost and size (both at least by one order of magnitude) of currently available OCT commercial systems. It will also eliminate instrumentation maintenance requirements and will reduce training and healthcare costs, paving the way to revolutionize diagnosis for general medicine and primary care.

Keywords: photonic integrated circuits,silicon-on-insulator,optical coherence tomography,virtual biopsy,dermatology,automated diagnosis,endoscopic imaging systems,microfabrication,mems,fiber optics
Personalized patient empowerment and shared decision support for cardiorenal disease and comorbidities (CARRE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Greece,United Kingdom,United Kingdom,Lithuania,Lithuania,Poland
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-11-01
End date: 2016-10-31
Duration (months): 36.0
Total project cost (EUR): 3210470.0
EU funding (EUR): 2573755.0
Participants: 6
Project status: CLOSED

CARRE addresses comorbidity management via an approach that first fosters understanding of the complex interdependent nature of comorbidities in general and as specialized for the specific patient, then calculates informed estimations for disease progression and comorbidity trajectories, and finally compiles a variety of personalized alerting, planning and educational services so that patients (and professionals) are empowered and can make shared informed decisions. CARRE research aims at a technological infrastructure for visual understanding of disease progression pathways and comorbidity trajectories, enriched with medical evidence and personalized for the individual patient. Based on this, CARRE will develop personalized shared decision support services for the patient & the professional. CARRE innovation lies in semantic interlinking of 3 types of data (a) medical ground knowledge; (b) up-to-date medical evidence; and (c) personal patient data, in order to create a personalized model of the disease and comorbidities progression pathways. Visual presentations of this personalized model (against ground knowledge and against statistical views of ‘similar’ patient groups) will form the basis for patient empowerment services. Finally, the personalized model of comorbidities will be used for shared decision support services targeting personalized education, complex risk calculation for disease & comorbidities progression, alerts for adverse events of multiple treatments and personalized planning. The ultimate goal is to provide the means for patients with comorbidities to take an active role in care processes, including self-care and shared decision making, and also to support medical professionals in understanding and treating comorbidities via an integrative approach. CARRE will address the specific medical domain of cardiorenal disease comorbidities and will provide proof-of-concept via deployment and validation in two different healthcare settings.

Keywords: cardiorenal disease and comorbidities,semantic technologies,ontologies,visual analytics,patient empowerment,shared decision support,personal sensors
Dynamic Social and Media Content Syndication for 2nd Screen (SAM)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Netherlands,Germany,Sweden,Belgium,Greece,United Kingdom,Spain,Germany,United Kingdom
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-10-31
Duration (months): 37.0
Total project cost (EUR): 3983584.0
EU funding (EUR): 2999000.0
Participants: 9
Project status: CLOSED

Today’s generation of internet devices has changed how users are interacting with media. From passive and unidirectional users to proactive and interactive. Users can comment or rate a TV show and search for related information regarding characters, facts or personalities. They do this with both friends and wider social communities. This phenomenon is known as 2nd Screen. Another coupled phenomenon is Content Syndication, a field of Digital Marketing, where digital content is created once and delivered to different marketing channels at the same time. In today’s 2nd Screen environment there are no true standards, protocols or common ways in which users can discover and access information related to consumed contents. Users have to initiate information searches by using eg Google to "participate" in the show. European enterprises wishing to provide services are restricted by a lack of business intelligence that can be applied with a view to profit from and enrich this market. SAM will change this by developing an advanced social media delivery platform based on 2nd Screen and Content Syndication within a Social Media context. Providing open and standardised ways of characterising, discovering, syndicating media assets interactively. Users will prosume digital assets from different syndicated sources and synchronised devices (e.g. Connected TVs) thus creating richer experiences around media. SAM's innovation is that instead of users reaching for the data; it is the data, which reaches the user through the syndication approach and their 2nd screen. This is based on the creation of dynamic social communities related to the user and digital asset context (e.g. profiles, preferences or devices). SAM will be able to capture and analyse valuable business intelligence which can be used to efficientize and monetarise the process for providers of assets and broadcast material and enrich as well as amplify the process for the consumer. SAM: "Socialising Around Media".

Keywords: context-aware social community,social media,2nd screen,content syndication,digital marketing,social mining,speech recognition,multi-device data representation,sentiment analysis,smarttv