Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
DIVERSIFY : Ecology-inspired software diversity for distributed adaptation in CAS (DIVERSIFY)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: France,Norway,Ireland,France
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2016-01-31
Duration (months): 36.0
Total project cost (EUR): 2447830.0
EU funding (EUR): 1864000.0
Participants: 4
Project status: CLOSED

Biodiversity is essential for the robustness and adaptability of ecological systems. Similarly, multiple theoretical and experimental scientific results emphasize the need for high levels of diversity for the wealth of other forms of complex systems (e.g., economy or social communities). In the face of these numerous scientific evidences, the limited amount of diversity in software that constitutes collaborative adaptive systems (CAS) is a major concern. This is particularly critical since CASs are complex systems that integrate multiple concerns, interact with the physical world and need to adapt to unforeseen evolutions and perturbations. DIVERSIFY explores diversity as the foundation for a holistic software design principle and increased adaptive capacities in CASs. Higher levels of diversity in the system provide a pool of software solutions that can eventually be used to adapt in front of a situation unforeseen at design time. The scientific development of DIVERSIFY lays in a strong analogy with ecological systems, biodiversity, and evolutionary ecology. DIVERSIFY gathers researchers from the software-intensive, distributed systems and the ecology areas in order to transfer ecological concepts and processes as software design principles. DIVERSIFY’s aims at establishing novel principles and techniques to increase software diversity levels in CASs and to leverage this diversity for distributed adaptation. The consortium's ecology group will drive the transfer of ecological processes in software. Software diversity synthesis and adaptation will leverage model-driven approaches to deal with the heterogeneity of entities in CASs. The project will develop a CAS simulator in the domain of smart cities to reveal the role of software diversity in CASs and to establish empirical knowledge about ecology-inspired software engineering. DIVERSIFY will run for 36 months with a requested funding of 1.86M€ for a total budget of 2,44M€.

Keywords: software engineering,software diversity,model-driven distributed adaptation,biodiversity,ecological models,models@runtime
A Quantitative Approach to Management and Design of Collective and Adaptive Behaviours (QUANTICOL)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: United Kingdom,Italy,Germany,Switzerland,United Kingdom,France
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-04-01
End date: 2017-03-31
Duration (months): 48.0
Total project cost (EUR): 3365300.0
EU funding (EUR): 2605000.0
Participants: 7
Project status: CLOSED

The problem: The design of collective adaptive systems (CAS) must be supported by a powerful well-founded framework for modelling and analysis. CAS consist of a large number of heterogeneous entities with decentralised control and varying degrees of complex autonomous behaviour. These entities may be competing for shared resources even when collaborating to reach common goals. The pervasive but transparent nature of CAS, together with the importance of the societal goals they address, mean that it is imperative that thorough a priori analysis and verification of their design is carried out to investigate all aspects of their behaviour before they are put into operation. Solution and target outcome: Our main objective is the development of an innovative formal design framework that provides a specification language for CAS and a large variety of tool-supported, scalable analysis and verification techniques. These techniques will be based on the original combination of recent breakthroughs in the field of Formal Methods, in particular stochastic process algebras and associated verification techniques, and Applied Mathematics, in particular mean field/continuous approximation and control theory. Such a design framework will provide scalable extensive support for the verification of developed models, and also enable and facilitate experimentation and discovery of new design patterns for emergent behaviour and control over spatially distributed CAS. Case studies: ICT-based CAS are at the core of the envisioned smart cities of the future. The development of our methodology will focus on the provisioning challenges of smart urban transport and smart grid. Such systems of heterogeneous components with competing goals must also manage resources in a fair and efficient way. This is particularly challenging when designing for behaviour that is emergent and spatially inhomogeneous but must nevertheless be guaranteed to satisfy operational requirements.

Keywords: stochastic process algebras,formal verification,quantitative analysis,model checking,abstraction,model reduction,smart grids,smart urban transportation
Conferences for the Future of FET (COFET)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Coordination and support actions
Countries involved: Austria,Israel,United Kingdom,Belgium
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2012-11-01
End date: 2014-07-31
Duration (months): 21.0
Total project cost (EUR): 354505.0
EU funding (EUR): 320000.0
Participants: 5
Project status: CLOSED

COFET aims at supporting the future development of the FET programme based on a focused dialogue between science, policy, industry, and society. FET Future will realize a set of conferences and workshops addressing current and forthcoming challenges for interdisciplinary, ICT-related visionary research as exemplified in the FET programme of the EU’s Framework Programme. COFET aims to address challenges such as the relation of FET research to innovation and competitiveness; the question of reaching out to a broad public; but also cooperation with the Member States in Horizon 2020. The project will support a minimum of three conferences with preceding workshops addressing these topics in a complementary fashion with different emphasis given to target stakeholders such as researchers in ICT and other fields, research policy makers, EC officials, industry and innovators, young scientists and students. COFET particularly aims at impacting on national and European research policy decision makers to secure their support in the form of policies, programmes, instruments and funding. It will assist the design of the future of FET to continue and further expand its success from FP5 to Horizon 2020. COFET will build on previous knowledge acquired in extensive studies and projects. The FET Future team includes ICT research strategists, experienced conference organisers, RTD policy makers and communication experts. FET Future activities will help to reach out to broad audiences while at the same time sharpening the profile as required for the changing role of FET in the future of EU level future and emerging technology research.

Keywords: fet conferences
Model Driven Computation of Treatments for Infertility Related Endocrinological Diseases (PAEON)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Italy,Switzerland,Germany,Germany
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2016-01-31
Duration (months): 36.0
Total project cost (EUR): 3243339.0
EU funding (EUR): 2453997.0
Participants: 5
Project status: CLOSED

Infertility affects 12% to 15% of reproductive age couples in Europe, costs approximately 1 billion Euros per year, and experts agree that these figures will double in a decade. In about 50% of such couples, infertility is caused by female health problems, more than 40% of which are related to endocrinological diseases impairing women’s health independently from fertility. Such considerations motivate our three-pillar project focusing on quantitative models for Infertility Related Endocrinological Diseases (IREDs). Our first pillar (modelling) will develop patient-specific computer-based models for IRED. Such models will account for the physiological and pathophysiological mechanisms regulating the menstrual cycle and how this is influenced by external (e.g., drugs) as well as environmental (e.g., obesity) factors. Our model will enable a quantitative understanding of the mechanisms behind endocrine disorders such as Polycystic Ovarian Syndrome (PCOS), hyperprolactinemia or endometriosis. Our second pillar (computation) will develop general purpose methods and tools to support effective exploitation of patient-specific models to reliably predict the outcome of a treatment on a specific patient and to support individualisation of a treatment for a specific patient. Our third pillar (clinical trial) will gather data (e.g. hormonal secretion patterns in different physiological and pathophysiological settings) to enable validation of the models and tools developed in our project and will carry out such a validation thereby providing feedback to the previous pillars. Such a feedback loop will drive the iterative refinement approach foreseen in our project. Our multidisciplinary consortium consists of highly qualified research institutions (HSLU, URM1, ZIB), and hospitals (MHH, UZH). The resulting synergies will enable successful completion all project objectives as well as wide dissemination and effective exploitation of the project results.

Keywords: models for infertility related endocrinological diseases computation of patient-specific models model checking based verification of treatments model checking based design of individualised treatments
Spatial Cognition (SPACECOG)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Germany,United Kingdom,Netherlands,France,France
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-03-01
End date: 2016-02-29
Duration (months): 36.0
Total project cost (EUR): 1992776.0
EU funding (EUR): 1524000.0
Participants: 5
Project status: CLOSED

Humanoid robots will become important machines to support mankind if they develop similar capabilities as humans have. One of those capabilities is to orient in space and to extract the relevant information from its environment. A common approach has been to build a spatiotopic map of the external world, so called an internal world model. However, since the sensors, such as the eyes (cameras) are attached to the body an updating problem occurs: After any action the input changes and additional information about the position of the eyes or the posture or the position in the external world is required to map a new sensory input into an existing map of the world. As this position about sensors is not error free, internal world models are not always reliable. However, a large body of information suggests that humans do not maintain full maps of their external world. They are rather very sparse and evidence suggests that we extract the important information from the world just on time and only keep track of a few relevant aspects in a scene by means of attentive and memory processes. Humans rather know how to retrieve the necessary information rather than representing all information in an internal world model. Thus, we aim to explore how humans solve the necessary updating and by which mechanisms they keep track of important aspects and extract the relevant information from the environment. This will be done by a combination of experimental investigations and computational modelling and by the integration of the developed modules leading to a human-like neural model of spatial orientation and attention in the context of eye, head and body movements. The model will be demonstrated as “neuroware” for a virtual human acting in a virtual reality.

Keywords: neural computation,vision,spatial updating,corollary discharge
Quantum Technologies for Europe (QUTE-EUROPE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Coordination and support actions
Countries involved: Slovakia,Germany,Italy,France,Switzerland,Sweden,Spain,Portugal,United Kingdom
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2016-01-31
Duration (months): 36.0
Total project cost (EUR): 883494.0
EU funding (EUR): 780000.0
Participants: 9
Project status: CLOSED

Research in Quantum Information and Communication Technologies (QICT) has since many years gained an important European dimension. The number of research groups active in the field as well as the number of publications testify to the vigorous and scientifically proliferate state of the community and show that QIPC research in Europe is well on par and highly competitive with comparable activities elsewhere in the world. The Coordination Action (CA) QUTE-EUROPE will continue to advance this European excellence via a structured approach towards the implementation of key topics such as a strategic vision, collaboration and dissemination. It will carry out a set of actions that are specifically targeted at coordination and cooperation within the QICT research community in Europe and beyond, as well as increasing the visibility of the field to the scientific global community, industries and the public at large. The CA will operate in three coordination work packages that are mapped to three identified key topics: 'Vision', 'Support' and 'Interaction': • The key area Vision is concerned with the coordination and development of a common strategic vision in the field of QIPC within the research community. • The key area Support will carry out a number of supporting activities that are mainly directed towards dissemination and the spreading of excellence within the community and beyond. • Finally, the key area Interaction will foster links within the community of international research groups, and with QIPC stake holders from outside the research community. The CA will set up a work structure with the ultimate goal of making the research community and its scientific achievements internationally recognised and sustainable. This will guarantee that the expertise and the knowledge gained through the CA activities will be of benefit to the European QIPC research community, the global QIPC community and all involved stake holders in the field.

Keywords: quantum information science entanglement enabled technologies
ALLOW Ensembles (ALLOW ENSEMBLES)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Germany,Germany,Italy,United Kingdom,Greece
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2016-01-31
Duration (months): 36.0
Total project cost (EUR): 3893424.0
EU funding (EUR): 2959000.0
Participants: 5
Project status: CLOSED

The recent advances in pervasive technologies enable construction of large-scale socio-technical systems which tightly interweave humans and their social structures with the technology. These systems are realized as a collective of diverse heterogeneous actors situated both in the physical world such as people, objects etc., and in the backend computer systems such as control processes. The objective of ALLOW Ensemble is to develop a new design principle for large-scale collective systems (CAS) based on the concepts of cells and ensembles. Cells are basic building blocks representing the different components of the system and ensembles are collections of cells collaborating together to accomplish certain goal in a given context. We use Adaptive Pervasive Flows – a programming paradigm based on workflow technology for pervasive systems – to model the behavior of cells as a set of interrelated tasks. This enables the salient principle of cell specialization. It allows for changing the behavior of the individual cell (tasks and order of execution) to fit into an ensemble and to achieve a given goal with high utility in collaboration with other cells of the ensemble. Following the principle of cell specialization, we develop methodologies for the evolution of cells and ensembles to meet arbitrary system goals, autonomously improving the utility of the system under changing contexts. Another major goal of the project is to develop models, theories and algorithm to ensure robustness and security so that ensembles can survive wide range of hardware/software failures and can protect sensitive data. Furthermore, we do novel research on the controllability of emergent properties of complex ensemble systems. The ensemble concept challenges current thinking as it represents a new type of systems that evolve over multiple generations to adapt to contextual changes and constantly improve utility. Evolutionary data is collected and analyzed to learn from the characteristics of past ensembles executions. This knowledge forms the foundation of evolution, leading to robust and high utility systems. The resulting fundamental concepts will be tested based on visionary application scenarios such as integrated urban transport and smart production chains, to evaluate their applicability.

Keywords: adaptation,collective adaptive systems,socio-technical systems,workflows,ensembles,evolution,emergence,design paradigm
Intelligent Active MObility Aid RoBOT integrating Multimodal Communication (MOBOT)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: United Kingdom,Germany,Greece,France,Germany,Poland
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-02-01
End date: 2016-07-31
Duration (months): 42.0
Total project cost (EUR): 4178235.0
EU funding (EUR): 3149912.0
Participants: 9
Project status: CLOSED

Mobility disabilities are prevalent in our ageing society and impede activities important for the independent living of elderly people and their quality of life. The MOBOT project aims at supporting mobility and thus enforcing fitness and vitality by developing intelligent active mobility assistance robots for indoor environments that provide user-centred, context-adaptive and natural support. Our driving concept envisions cognitive robotic assistants that act (a) proactively by realizing an autonomous and context-specific monitoring of human activities and by subsequently reasoning on meaningful user behavioural patterns, as well as (b) adaptively and interactively, by analysing multi-sensory and physiological signals related to gait and postural stability, and by performing adaptive compliance control for optimal physical support and active fall prevention. Towards these targets, a multimodal action recognition system will be developed to monitor, analyse and predict user actions with a high level of accuracy and detail. The main thrust of our approach will be the enhancement of computer vision techniques with modalities such as range sensor images, haptic information as well as command-level speech and gesture recognition. Data-driven multimodal human behaviour analysis will be conducted and behavioural patterns will be extracted. Findings will be imported into a multimodal human-robot communication system, involving both verbal and nonverbal communication and will be conceptually and systemically synthesised into mobility assistance models taking into consideration safety critical requirements. All these modules will be incorporated in a behaviour-based and context-aware robot control framework. Direct involvement of end-user groups will ensure that actual user needs are addressed. Finally, user trials will be conducted to evaluate and benchmark the overall system and to demonstrate the vital role of MOBOT technologies for Europe’s service robotics.

Keywords: cognitive systems,robotics,human-robot interaction and communication,robotic assistant
Quantum Waveguides Application and Development (QWAD)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Future and Emerging Technologies
Action type: Collaborative project
Countries involved: Germany,Italy,United Kingdom
Call:  (FP7-ICT-2011-9, 2011)
Start date: 2013-01-01
End date: 2015-12-31
Duration (months): 36.0
Total project cost (EUR): 2162233.0
EU funding (EUR): 1649999.0
Participants: 5
Project status: CLOSED

Quantum technologies promise to revolutionise our digital world providing security in communications and solutions for what have been thought of as unsolvable computational problems. The project QWAD introduces the technology of laser-written integrated optics, a powerful new tool for next generation quantum communications and computing, solving critical problems in terms of scalability and reliability. This disruptive photonic technology will speed up the evolution from lab systems to real world applications. Our consortium will target three main outcomes: 1) Fabricate laser-written waveguides in highly integrated three dimensional structures to generate and to manipulate both path- and polarization entangled photonic qubits. 2) Implement large integrated circuits to perform scalable quantum logic operations and quantum simulation of many-body dynamics. 3) Design dedicated waveguide structures for fully integrated quantum key exchange and for quantum enhanced sensing in application ready prototypes. The project benefits from the outstanding expertise of consortium members who have pioneered photonic and quantum information technologies over the past decades. The development of laser-written waveguide structures will allow extraordinary progress in terms of miniaturization and scalability while maintaining incomparable stability and durability. Key advances in quantum ICT will exploit the 3D waveguide geometries and other innovations to produce tailored quantum simulators and photonic quantum computer nodes. The development of novel ready-made quantum devices within QWAD will open new doors for innovative chip based quantum key exchange components and unrivalled efficiency and sensitivity Lab-on-a-chip devices.

Keywords: quantum optical technologies entanglement enhanced devices quantum sensing quantum communication quantum simulation micromaching optical waveguides laser writing