Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Retina-inspired ENcoding for advanced VISION tasks (RENVISION)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Italy,United Kingdom,United Kingdom,France
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-03-01
End date: 2016-08-31
Duration (months): 42.0
Total project cost (EUR): 2903318.0
EU funding (EUR): 2213000.0
Participants: 4
Project status: CLOSED

The retina is a sophisticated distributed processing unit of the central nervous system encoding visual stimuli in a highly parallel, adaptive and computationally efficient way. Recent studies show that rather than being a simple spatiotemporal filter that encodes visual information, the retina performs sophisticated non-linear computations extracting specific spatio-temporal stimulus features in a highly selective manner (e.g. motion selectivity). Understanding the neurobiological principles beyond retinal functionality is essential to develop successful artificial computer vision architectures. RENVISION's goal is, therefore, twofold: i) to achieve a comprehensive understanding of how the retina encodes visual information through the different cellular layers; ii) to use such insights to develop a retina-inspired computational approach to high-level computer vision tasks. To this aim, exploiting the recent advances in high-resolution light microscopy 3D imaging and high-density multielectrode array technologies, RENVISION will be in an unprecedented position to investigate pan-retinal signal processing at high spatio-temporal resolution, integrating these two technologies in a novel experimental setup. This will allow for simultaneous recording from the entire population of ganglion cells and functional imaging of inner retinal layers at near-cellular resolution, combined with 3D structural imaging of the whole inner retina. The combined analysis of these complex datasets will require the development of novel multimodal analysis methods. Resting on these neuroscientific and computational grounds, RENVISION will generate new knowledge on retinal processing. It will provide advanced pattern recognition and machine learning technologies to ICTs by shedding a new light on how the output of retinal processing (natural or modelled) allows solving complex vision tasks such as automated scene categorization and human action recognition.

Keywords: retina,neural modeling,multi-electrode array,multimodal data analysis,computer vision,machine learning,pattern recognition,image processing,spiking networks,light sheet microscopy
Hybrid and Diversity-Aware Collective Adaptive Systems: When People Meet Machines to Build a Smarter Society (SMARTSOCIETY)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Italy,United Kingdom,Germany,United Kingdom,Israel,Sweden,Austria,United Kingdom
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-01-01
End date: 2016-12-31
Duration (months): 48.0
Total project cost (EUR): 6829666.0
EU funding (EUR): 5313000.0
Participants: 10
Project status: CLOSED

Society is progressively moving towards a socio-technical ecosystem in which the physical and virtual dimensions of life are more and more intertwined and where people interaction often takes place with or mediated by machines. The scale at which this is happening and the differences in culture, language and interests makes the problem of establishing effective communication and coordinated action increasingly challenging. So far, the attention has been mainly devoted to systems that provide or impose some form of harmonization or lightweight coordination of meaning and actions where machines do most of the computation and humans are at the periphery and only act as consumers. Our goal is to move towards a hybrid system where people and machines tightly work together to build a smarter society. We envision a new generation of Collective Adaptive Systems centred on the two foundational notions of compositionality and diversity where humans and machines “compose” by synergically complement each other thus bridging the semantic gap between low level machine and high level human interpretation of data and where they interoperate collectively to achieve their possibly conflicting goals both at individual and societal levels. Operationally, peers in the system will implement a continuous unlimited cycle in which data is sensed, interpreted, shared, elaborated and acted upon. Actions are taken on the basis of system suggestions and the way humans react to them, while generating new data thus alimenting the cycle ad infinitum. To meet this very ambitious goal the SmartSociety project will develop foundational principles for the operations and design of hybrid and diversity-aware collective adaptive systems, paving the way to the arising of a smarter form of society.

Keywords: hybrid collective adaptive systems,compositionality principle,social computation
Durable Architectural Knowledge (DURAARK)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Germany,Germany,Austria,Netherlands,Denmark,Sweden,Norway
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2016-01-31
Duration (months): 36.0
Total project cost (EUR): 3776989.0
EU funding (EUR): 2972782.0
Participants: 7
Project status: CLOSED

Along with the paradigm shift that changed the way of architectural drafting from 2D analog plans and scale models over 2D digital plans to complex digital 3D models, the importance for libraries, museums, and archives for long-term preservation of architectural digital 3D models was recognized some years ago. To this end, research projects trying to set up a process to capture, describe, manage, preserve, and make available digital CAD models created by architects during building projects were established in the United States as well as in Europe. Despite the shift from analog to digital representations, the access mechanisms of current long-term archiving systems in the architectural domain are still based on simple metadata schemes inherited from the analog world and therefore limited in the same way as searching with a card index in the analog age. The potential inherent in a full digital representation is not exploited so far as detailed semantic information in the digital documents is either not available or simply not used for retrieval. In the DuraArK project we will develop a long-term preservation system for architectural content that will overcome these shortcomings. It will allow searching and accessing data on different semantic levels going far beyond the possibilities of currently used metadata schemes. At the same time, it will provide secure and future-proof data storage by tackling the problems arising from digital decay.

Keywords: construction model preservation
MOSAIC - MOdels and Simulation techniques for discovering diAbetes Influence faCtors (MOSAIC)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Spain,Italy,Italy,Sweden,Finland,Greece,Spain
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-01-01
End date: 2016-04-30
Duration (months): 40.0
Total project cost (EUR): 4697603.0
EU funding (EUR): 3556000.0
Participants: 10
Project status: CLOSED

MOSAIC will address two very specific aspects linked to the prediction of risk of developing diabetes (type 2) and complications associated to diabetes. These objectives respond to a widely recognized problem related to diabetes management and have the potential to have a major impact in the way diabetes is currently diagnosed and followed in Europe. The MOSAIC consortium counts with the expertise of four modelling partners who have worked over 25 years in the development of models of the human metabolic response in diabetes that will be enhanced in the project with the incorporation of elements that provide information related to envi-ronmental and clinical factors that prove to be relevant for the objectives defined such as socio-economic aspects, geographic localization, cultural, background, nutrition, etc. Multiple databases cutting across geographic boundaries are available to the MOSAIC consortium as a result of the activities of previous studies and projects of the members, such as (a) METABO 7FP EU project; (b) from the transversal study “Healthy Breakfast” enriched with Medtronic’s CareLink© reports for continuous glucose monitoring systems; (c) two large longitudinal epidemiological studies over 10 years long (VIVA study, BOTNIA prospective study); and (d) outpatient data treated by FSM, Athens Hospital, Health Department ‘Valencia-La Fe’, ASL Pavia program over more than 10 years. MOSAIC will integrate these models into an already existing platform for diabetes management, CHRONICA, as well as into standalone tools developed during the project, following a Service Oriented Architecture (SOA) approach, in order to facilitate the interpretation and visualization of the data, to enable a comprehensive understanding of the information by the health care professionals and to be adaptative to different scenarios and healthcare information systems. The MOSAIC models and tools will be used during the validation phase of the project to acquire data during the prospective study to feed the models under test and to assess their value in a proof of concept pilot study.

Keywords: diabetes,type 2,gestational,metabolic modeling,prediction,personalization of care,new markers advancing diagnose and progression of the disease,virtual patient simulator,environmental factors
Model-Driven European Paediatric Digital Repository (MD PAEDIGREE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Italy,United Kingdom,Italy,Germany,Belgium,Netherlands,Netherlands,Germany,France,United States,Netherlands,United Kingdom,France,Switzerland,Romania,Greece,Germany
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-03-01
End date: 2017-05-31
Duration (months): 51.0
Total project cost (EUR): 16539104.0
EU funding (EUR): 11869000.0
Participants: 26
Project status: CLOSED

MD-Paedigree is a clinically-led VPH project that addresses both the first and the second actions of part B of Objective ICT-2011.5.2: 1. it enhances existing disease models stemming from former EC-funded research (Health-e-Child and Sim-e-Child) and from industry and academia, by developing robust and reusable multi-scale models for more predictive, individualised, effective and safer healthcare in several disease areas; 2. it builds on the eHealth platform already developed for Health-e-Child and Sim-e-Child to establish a worldwide advanced paediatric digital repository. Integrating the point of care through state-of-the-art and fast response interfaces, MD-Paedigree services a broad range of off-the-shelf models and simulations to support physicians and clinical researchers in their daily work. MD-Paedigree vertically integrates data, information and knowledge of incoming patients, in participating hospitals from across Europe and the USA, and provides innovative tools to define new workflows of models towards personalised predictive medicine. Conceived of as a part of the “VPH Infostructure” described in the ARGOS, MD-Paedigree encompasses a set of services for storage, sharing, similarity search, outcome analysis, risk stratification, and personalised decision support in paediatrics within its innovative model-driven data and workflow-based digital repository. As a specific implementation of the VPH-Share project, MD-Paedigree fully interoperates with it. It has the ambition to be the dominant tool within its purview. MD-Paedigree integrates methodological approaches from the targeted specialties and consequently analyzes biomedical data derived from a multiplicity of heterogeneous sources (from clinical, genetic and metagenomic analysis, to MRI and US image analytics, to haemodynamics, to real-time processing of musculoskeletal parameters and fibres biomechanical data, and others), as well as specialised biomechanical and imaging VPH simulation models.

Keywords: disease modelling,infostructure,digital repository,virtual phisiological human,imaging,multiscale modelling,platform,cloud computing,grid,e-health,predictive health care,personalized health
MAXimising the Impact of CULTUral REsearch projects (MAXICULTURE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Learning and Access to Cultural Resources
Action type: Coordination and support actions
Countries involved: Italy,United Kingdom,Netherlands
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-01-01
End date: 2014-12-31
Duration (months): 24.0
Total project cost (EUR): 672497.0
EU funding (EUR): 600000.0
Participants: 4
Project status: CLOSED

The MAXICULTURE Support Action aims to maximise the impact of EC funded ICT projects in the cultural domain through the adaptation, testing and transfer of a socio-economic assessment methodology. The MAXICULTURE idea emerges from the consideration that there is a growing need to verify how public investment in R&D can guarantee the best value for money and maximise the impact on European economy and society. This is nowhere more needed than in the cultural heritage sector. The MAXICULTURE consortium have participated in previous initiatives such as the EACEA “Study on the entrepreneurial dimension of the cultural and creative industries” and the ERINA+ and SEQUOIA support actions (socio-economic impact of research e-Infrastructures and research projects in the area of Internet of Services) and are aware of the issues originating from the specificities of the cultural sector. Thus, the consortium will work with domain stakeholders and projects from call 6 and 9 in order to best capture their needs, feeding them into an effective methodology that will support the projects to self-evaluate and increase the impact of the social, scientific and economic results within the European cultural, educational, scientific and leisure contexts. With the aim of supporting the maximisation of the research outputs effectiveness and efficiency, MAXICULTURE will analyse projects’ outputs, not only in terms of innovation and improvement related to the state of the art of the cultural sector, but also in terms of transferability of results to the wider society in general and to the supply-industry in particular. Self-assessment results and best practices will be used as a base to develop the recommendations for the successful implementation of a long term agenda for actions within ICT at the service of the cultural sector at EU and national level for public authorities and stakeholders in years 2015-2020.

Keywords: socio-economic impact assessment,digicult research projects,return on culture,self-assessement toolkit,policy recommendations
European Clearing House for Open Robotics Development Plus Plus (ECHORD PLUS PLUS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: Germany,Italy,United Kingdom,Spain,France,United Kingdom,Germany,Spain,Germany,Germany,Switzerland,Germany,Spain,Germany,Belgium,Germany,Slovenia,Denmark,United Kingdom,Greece,Belgium,Spain,Italy,Germany,Italy,Germany
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-10-01
End date: 2019-04-30
Duration (months): 67.0
Total project cost (EUR): 26864534.0
EU funding (EUR): 19750000.0
Participants: 110
Project status: CLOSED

In European robotics, ECHORD has successfully achieved integration on a large scale between industry and research that had never been done before. Capitalising on the major impact of ECHORD, the successor project ECHORD++ (or E++), will create new opportunities for European robotics researchers to work directly with SME/start-ups and new users/customers to create innovative markets. E++ will continue ECHORD’s two pillars, “experiments” and “structured dialogue”, taking advantage of experience and investment in the infrastructure. But E++ will add another unique dimension: not only will we encourage ReIO and RoM to work together, but robot system customers and users will be involved – connecting the suppliers directly with the market. To this end, there are two innovative new pillars: the Pre-Commercial-Procurement Pilots (PCPP) and the Knowledge and Innovation Centers (KIC). The PCPP will enable public procurers to become demanding buyers of new R&D. The complete PCP process will encompass robotics R&D for the first time, resulting in, demonstrable prototypes that can be evaluated together with the process at the end. The KICs are open experimental facilities that will that allow new robot customers and users to interact with roboticists with no entrance barrier and at very low cost so that new communities can form – and radically new ideas can take shape. E++’s scientific work is structured in scenarios and research foci, directly derived from the SRA. They help steer the coordination between the experiments, KICs and PCPP to avoid unnecessary parallel work. E++’s implementation concept combines a team of excellent institutions with top-level researchers and the proven IT-backed processes. This will include highly effective quality management and monitoring. E++’ impact strategy is geared towards integration of stakeholder cooperation, SMEs, start-up sup-port and creating new markets – ideally producing the next disruptive technologies.

Keywords: framework for cutting-edge technology r&d in robotics,cross-fertilisation between industry and research,pre-commercial procurement,industrial platforms,structured dialogue,support for start-ups
Collective Adaptive System SynThesIs with Non-zero-sum Games (CASSTING)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: France,Belgium,Belgium,Denmark,Germany
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-04-01
End date: 2016-04-30
Duration (months): 37.0
Total project cost (EUR): 2737964.0
EU funding (EUR): 2007358.0
Participants: 7
Project status: CLOSED

CASSTING will develop a novel approach for analysing and designing collective adaptive systems in their totality, by setting up a game theoretic framework. Here components are viewed as players, their behaviour is captured by strategies, system runs are plays, and specifications are winning conditions. The design of collective adaptive systems, as they occur, for example, in home automation, health care, and many scenarios of mobile communication, raises fundamental challenges: These systems are distributed, with heterogeneous components interacting continuously among each other and with their environments, components may work collaboratively or as adversaries, they have to adapt over time, they are dynamic in the sense that components can come into existence or vanish, and their specification usually involves multi-dimensional quantitative objectives. Available methods (such as model-based verification and quantitative model-checking) only address selected aspects of collective adaptive systems. The game theoretic approach of CASSTING is comprehensive and has already proved very successful in simpler scenarios such as automatic controller synthesis. The CASSTING research will lift this method to the level of collective adaptive systems and provide efficient algorithmic analysis methods as well as tools for the automatic synthesis. In particular, the simple scenario of zero-sum games is extended to cover a large variety of non-zero-sum games, and concepts of algorithmic game theory are generalised to infinite-duration games. The CASSTING teams have made essential contributions in the area and are thus uniquely qualified for this project. The CASSTING research will strengthen the leading role that Europe already has in this field. The proof of concept will focus on the paradigmatic application areas of home automation and smart houses, based on case studies provided by the two internationally recognised industrial partners of the consortium.

Keywords: automated synthesis game theory quantitative model checking model-based development home automation
High Efficient, Single-Use-Bioreactor simulating mammalian tissue conditions for expression and proliferation (HESUB)

Framework: FP7 — Cooperation
Programme: Health
Destination: Horizontal topics for collaborative projects relevant for the whole of theme health
Action type: Collaborative project
Countries involved: Sweden,Germany,Sweden,United Kingdom,Denmark
Call:  (FP7-HEALTH-2013-INNOVATION-2, 2013)
Start date: 2013-05-01
End date: 2016-04-30
Duration (months): 36.0
Total project cost (EUR): 7592834.0
EU funding (EUR): 5752150.0
Participants: 5
Project status: CLOSED

A unique combination of earlier EU funded projects allow four research SME´s to create a combined most visionary and innovative product for improved health. There is a strategic decision from pharmaceutical companies and hospitals for: 1. continues expressing of biologicals to fulfill the expectation to “personalized medicine” and 2. proliferation of cells to support therapeutic applications and 3. proliferation of stem cells to prepare manufacturing of real “human spare parts”. Advanced process control inside tailor made and cell harboring scaffolds integrated in a High-Efficient-Single-Use-Bioreactor simulating mammalian tissue conditions will fulfill this requirements

Keywords: tissue engineering,stem cells,regenerative medicine,medical technology,bio devices,bio artificial organs,single-use-sensors,scaffolding,stem cell therapies,singleuse- bioreactors,cell prolif