Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Supporting policy dialogues and cooperation with Africa to enhance ICT cooperative research links between Europe and Africa in the framework of the “Africa-EU Strategic Partnership 8" (EUROAFRICA-P8)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: International Cooperation
Action type: Coordination and support actions
Countries involved: France,South Africa,Finland,Tunisia,Germany,Sweden,Egypt,Portugal,Kenya,Senegal,Netherlands
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2012-01-01
End date: 2014-03-31
Duration (months): 27.0
Total project cost (EUR): 1178738.0
EU funding (EUR): 984103.0
Participants: 12
Project status: CLOSED

The 8th Africa-EU Strategic Partnership interlinks 3 priorities which can leverage a faster socio-economic development in Africa. Africa/Europe have recognised that the development of STI & the spreading of ICT to all components of a society are key. P8 new Action Plan lists as a priority the development of an inclusive information society in Africa. In that perspective is being formed a multi-stakeholder implementation group (co-chaired by the AUC/EC) aiming at enhancing cooperation between the 2 regions. The EuroAfrica-P8 project will support policy dialogues & cooperation with Africa to enhance ICT research links in the framework of P8. It will seek to promote collaborative research on ICT in the framework of P8/P3; promote a more coordinated approach of the European MS towards P8; carry on an update of the identification/analysis of joint ICT research priorities; provide evidence-based recommendations to the EC/AUC for future cooperation initiatives; organise events in both regions synchronised with policy dialogue meetings; strengthen ICT cooperative research links between European/African organisations with the aim of reinforcing P8; support the activities of the P8 implementation group; enhance the participation of African organisations in FP/ICT collaborative projects; and facilitate the access of EU organisations to third country programmes. The project is gathering partners able to significantly impact the expansion of Euro-African cooperation on ICT research in close liaison with the EC/AUC and in partnership with key stakeholders in the field. The Consortium consists of 12 partners having a significant experience of ICT policies in both regions, as well of Africa-EU S&T/ICT cooperation. They enjoy access to important networks and they have previously participated in FP projects. Collectively they complement in each other in such a manner that the consortium is well-balanced and qualified with all the necessary resources to reach the project objectives.

Keywords: support action / international cooperation / policy dialogues / cooperation / research / ict / europe / africa / africa-eu strategic partnership / p8 / synergies / priorities / recommendations
Cross-lingual Knowledge Extraction (X-LIKE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Collaborative project
Countries involved: Slovenia,Germany,Spain,Croatia,China,United States
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2012-01-01
End date: 2014-12-31
Duration (months): 36.0
Total project cost (EUR): 4745468.0
EU funding (EUR): 3550000.0
Participants: 8
Project status: CLOSED

The goal of the X-LIKE project is to develop technology to monitor and aggregate knowledge that is currently spread across global mainstream and social media, and to enable cross-lingual services for publishers, media monitoring and business intelligence. In terms of research contributions, the aim is to combine scientific insights from several scientific areas to contribute in the area of cross-lingual text understanding. By combining modern computational linguistics, machine learning, text mining and semantic technologies we plan to deal with the following two key open research problems: - to extract and integrate formal knowledge from multilingual texts with cross-lingual knowledge bases, and - to adapt linguistic techniques and crowdsourcing to deal with irregularities in informal language used primarily in social media. As an interlingua, knowledge resources from Linked Open Data cloud (http://linkeddata.org/) will be used with special focus on general common sense knowledge base CycKB (http://www.cyc.com/). For the languages where no required linguistic resources will be available, we will use a probabilistic interlingua representation trained from a comparable corpus drawn from the Wikipedia. The solution will be applied on two case studies, both from the area of news. For the Bloomberg case study the domain will be financial news, while for the Slovenian Press Agency we will deal with general news. The technology developed in the project will be used to introduce cross-lingual and information from social media in services for publishers and end-users in the area of summarization, contextualization, personalization, and plagiarism detection. Special attention will be paid to analysing news reporting bias from multilingual sources. The developed technology will be language-agnostic, while within the project we will specifically address English, German, Spanish, and Chinese as major world languages and Catalan and Slovenian as minority languages.

Keywords: cross-linguality,knowledge extraction,text mining,informal languages,social media,multilingual news analysis,news reporting bias,contextualisation,personalisation
Robots need Language: A computational mechanism for generalisation and generation of new behaviours in robots (POETICON++)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: Italy,Greece,United States,United Kingdom,Portugal
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2012-01-01
End date: 2015-12-31
Duration (months): 48.0
Total project cost (EUR): 5123166.0
EU funding (EUR): 3880000.0
Participants: 6
Project status: CLOSED

Handling novel situations beyond learned schemas or set behaviours is still a quest in engineering cognitive and embodied systems. Simply put, sensorimotor experiences in real world are non-finite and therefore powerful generalisation mechanisms are necessary for any agent to operate effectively in real-world environments. POETICON++ suggests that natural language can be used as a learning tool for: (a) generalisation of learned behaviours and perceptual experiences, and (b) generation of new behaviours and experiences (creativity). This is a new approach to behaviour and perception generalisation for artificial agents that capitalises on the use of a hierarchical and generative symbolic system for ‘indexing’ (labelling) sensorimotor experiences at different levels of abstraction. Motivated by experimental findings on a common neurological basis between language, perception and action (a common syntax), POETICON++ suggests the use of natural language for generalisation and generation of sensorimotor ‘syntactic structures’. The main objective of POETICON++ is the development of a computational mechanism for such generalisation of motor programs and visual experiences for robots. To this end, it will integrate natural language and visual action/object recognition tools with motor skills and learning abilities, in the iCub humanoid. Tools and skills will engage in a cognitive dialogue for novel action generalisation and creativity experiments in two scenarios of ‘everyday activities’, comprising of (a) behaviour generation through verbal instruction, and (b) visual scene understanding. POETICON++ views natural language as a necessary tool for endowing artificial agents with generalisation and creativity in real world environments. Building on results from the POETICON project, it brings together an extended interdisciplinary group of experts for developing the first ever computational mechanism that will use language as a behaviour/experience generalisation tool.

Keywords: behaviour generalisation,language and action,action grammar,cognitive robotics,embodied cognition,computer vision,visual scene understanding,action generation
Semantic Interoperability for Health Network (SEMANTICHEALTHNET)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Network of Excellence
Countries involved: Belgium,United Kingdom,United Kingdom,Switzerland,Switzerland,Austria,France,Belgium,Germany,France,Denmark,Netherlands
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-12-01
End date: 2015-05-31
Duration (months): 42.0
Total project cost (EUR): 3212220.0
EU funding (EUR): 2945364.0
Participants: 18
Project status: CLOSED

SemanticHealthNet will develop a scalable and sustainable pan-European organisational and governance process for the semantic interoperability of clinical and biomedical knowledge, to help ensure that EHR systems are optimised for patient care, public health and clinical research across healthcare systems and institutions. Through a clinically-driven workplan, exemplified in cardiovascular medicine, SemanticHealthNet will capture the needs for evidence-based, patient-centred integrated care and for public health, encapsulating existing European consensus in the management of chronic heart failure and cardiovascular prevention. Experts in EHR architectures, clinical data structures, terminologies and ontology will combine, tailor and pilot their best-of-breed resources in response to the needs articulated by clinicians and public health physicians. These exemplars will be cross-referenced with other domains and stakeholder perspectives via Clinical and Industrial Advisory Boards and interactions with other projects in Topic 5.3. The project will generalise and formalise the methods and best practices in how to combine and adapt informatics resources to support semantic interoperability, and how these can be developed and supported at scale. Health authorities, clinical professionals, ministries, vendors, purchasers, insurers are involved to ensure the project approach and results are realistically adoptable and viable, building on the SemanticHEALTH and CALLIOPE roadmaps. A business model to justify strategic investments, including the opportunity costs for key stakeholders such as SDOs, industry, will be defined. This, and links with epSOS II and the eHealth Governance Initiative, will inform the shape of the Virtual Organisation that this Network will establish to sustain semantic interoperability developments and their adoption. The consortium comprises more than 40 internationally recognised experts, including from USA and Canada, ensuring a global impact.

Keywords: semantic interoperability,clinical and biomedical knowledge,electronic health records (ehr),interoperability standards,infostructure,cardiovascular disease,european virtual organisation
Universal Integration of the Internet of Things through an IPv6-based Service Oriented Architecture enabling heterogeneous components interoperability (IOT6)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Pervasive and Trusted Network and Service Infrastructures
Action type: Collaborative project
Countries involved: Switzerland,Serbia,France,United Kingdom,Spain,Austria,Luxembourg,Korea, Republic of
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-10-01
End date: 2014-09-30
Duration (months): 36.0
Total project cost (EUR): 4144648.0
EU funding (EUR): 2958000.0
Participants: 9
Project status: CLOSED

The IoT6 project aims at exploiting the potential of IPv6 and related standards (6LoWPAN, CORE, COAP, etc.) to overcome current shortcomings and fragmentation of the Internet of Things, in line with the CERP-IoT and EC recommendations. Its main challenges and objectives are to research, design and develop a highly scalable IPv6-based Service-Oriented Architecture to achieve interoperability, mobility, cloud computing integration and intelligence distribution among heterogeneous smart things components, applications and services. Its potential will be researched by exploring innovative forms of interactions such as: • Information and intelligence distribution. • Multi-protocol interoperability with and among heterogeneous devices. • Device mobility and mobile phone networks integration, to provide ubiquitous access and seamless communication. • Cloud computing integration with Software as a Service (SaaS). • IPv6 - Smart Things Information Services (STIS) innovative interactions. The main outcomes of IoT6 are recommendations on IPv6 features exploitation for the Internet of Things and an open and well-defined IPv6-based Service Oriented Architecture enabling interoperability, mobility, cloud computing and intelligence distribution among heterogeneous smart things components, applications and services,- including with business processes management tools. To achieve these ambitious goals, the consortium consists of seven international academic or research partners and two industrial partners that bring in expertise from complementary research areas such as IPv6, multi-protocol interoperability, routing protocols, security, SOAs, sensor networks, building automation, mobile phone networks, cloud computing, business processes and EPCIS/RFID. IoT6 is supported by a large industry support group with renowned members, which will act as general advisors and will support the dissemination, exploitation and standardization activities.

Keywords: internet of things,interoperability,integration,convergence,multi communication protocols,service oriented architecture,epcis,ims,ipv6,6lowpan,core
Complexity Research Initiative for Systemic InstabilitieS (CRISIS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Italy,Germany,Netherlands,Spain,Austria,United Kingdom,Hungary,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): 4568610.0
EU funding (EUR): 3316000.0
Participants: 13
Project status: CLOSED

In his opening address to the ECB Central Banking Conference, Jean-Claude Trichet said that “in the face of the crisis, we felt abandoned by conventional tools”, and went on to call for the development of complex systems based approaches to augment existing ways of understanding the economy. This project proposes to address this need by creating an integrated set of complex systems-based ICT tools for modeling the economy, of practical use to policy makers, to be used in both simulation and gaming modes. The core element of our project will be a pair of coupled agent-based models of the European economy, one for the financial system and one for the macro-economy. The European model will in turn be coupled to a corresponding American model developed in an independently funded sister project. These models will be carefully calibrated using a comprehensive data set. The models will be constructed around the available data, so that the resulting model can be placed in the existing state of the real economy at any given point in time, and used to simulate that economy going forward. The decision making components of the model will also be calibrated using laboratory experiments with human subjects. The final result will include a sophisticated graphical user interface with open-source software. This model will allow us to do research to better understand the combined European and American economies, freed from the constraint of unrealistic assumptions such as perfect rationality and representative agents. The output of the research will be used to provide new insights for policy makers and evaluate quantitatively policy measures at the European level.

Keywords: complex systems,heterogeneous agents,agent based model,financial fragility,european economic policy
SENSE-PARK: Supporting and Empowering Parkinson patients in their home environment using a Novel SEnsory information system that monitors daily-life-relevant parameters of PARKinson disease and their (SENSE-PARK)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Germany,Portugal,Norway,United Kingdom,Germany,Germany,United Kingdom
Call:  (FP7-ICT-2011-7, 2011)
Start date: 2011-10-01
End date: 2014-09-30
Duration (months): 36.0
Total project cost (EUR): 2737627.0
EU funding (EUR): 2160000.0
Participants: 7
Project status: CLOSED

Parkinson’s disease (PD) is the second most common neurodegenerative disease, and prevalence increases with age. This leads, in an aging society, to increasing personal, social and economic burden. To date, basically only symptomatic treatment is available, which application almost always leads to the feeling of dependence and lose of self-control in (a) person(s) with PD (PwP’s). A further shortcoming in PD-related treatment is the limited quality of disease state-defining parameters. Recent ICT-associated projects have mainly been focusing on the “observation” of the user rather than giving feedback to him/her, and they bear little resemblance or application to the reality of living with PD. In addition, obtrusive measurements influenced results in particular in PwP’s due to disease-caused neural network changes. The aim of the SENSE-PARK project is to develop an unobtrusive and empowering information system for use in the home environment, which provides the users with practical, engaging and motivating tools to monitor patterns in their condition. In more detail, the SENSE-PARK system will inform the users about motor and non-motor functioning in daily life activities (‘being’, data collection via RFID sensors and a wrist-worn data logger), leisure activities (‘belonging’, data collection via gaming console and adapted interface) & scientific environment (‘becoming’, for validation). The project will include PwP’s at central positions to ensure the development of a user-friendly and effective system, and consequent dissemination. In addition, with the SENSE-PARK system, disease course-associated parameters which are provided to the user can also be provided to the doctor, to enable an intense and transparent at-the-point discussion between two specialists of the disease. The system will enable a more continuous, thorough and objective appraisal of changes during disease course with a far wider and more objective perspective, than clinical evaluation can provide.

Keywords: people with parkinson's disease,home environment,sensor information system,motor and non-motor aspects,progress markers
Developing business relationships by SMEs in the intercultural environment (B2BRELATIONSHIPS)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Intra-European Fellowships
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: United Kingdom
Call:  (FP7-PEOPLE-IEF-2008, 2008)
Start date: 2010-02-01
End date: 2011-01-31
Duration (months): 12.0
Total project cost (EUR): 91525.9
EU funding (EUR): 91525.9
Participants: 1
Project status: CLOSED

In a so-called “new network economy”, SMEs’ success in competitive markets could be achieved by strategies which are designed to allow firms to more easily share and develop resources (e.g. information, processes, and competences) with a wide range of potential stakeholders. Relationship-based strategies emphasize that to achieve competitive advantage firms should identify, develop and enhance an efficient portfolio of relationships (Zolkiewski and Turnbull, 2002). It is argued that small firms rely on maintaining effective business relationships to a greater extent than large firms but their processes of developing market relationships are not as well understood or researched. Many of the business relationship models have been constructed in the context of Anglo-Saxon developed economies and large organizations, the universality of these models in an intercultural and/or SME context has not been verified. Corresponding with this gap in theory, the main objective of this research is the identification of effective mechanisms for use by SMEs in business relationship development throughout Europe. The objectives of the research are to explore the following issues: · The tactics used by SMEs to develop business relationships; · The main obstacles faced by SMEs in building relationships; · The effects of maintaining business relationships on SMEs; · The extent of the entities with which relationships are built by SMEs; · The influence of competition intensity and cultural differences on SMEs’ relationship-building processes. The main empirical basis will constitute primary qualitative data gathered from the United Kingdom and the Central-European countries of Poland, the Czech Republic and Slovakia. This data will be analysed and used to refine understanding of theory. Dissemination will take place through peer-reviewed and practitioner journals, seminars and conference presentations.

Keywords: b2b relationships,intercultural,smes,social sciences,economics
Identification of novel genes conditioning bacterial blight resistance in rice using genomic resources and functional analysis tools. (RXOMICS)

Framework: FP7 — People
Programme: Marie-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: International Outgoing Fellowships
Action type: Support for training and career development of researchers (Marie Curie)
Countries involved: France
Call:  (FP7-PEOPLE-IOF-2008, 2008)
Start date: 2010-08-01
End date: 2015-07-31
Duration (months): 36.0
Total project cost (EUR): 334410.2
EU funding (EUR): 334410.2
Participants: 1
Project status: CLOSED

Rice is one of the most important crop of the world and feeds more people than any other crop. Rice has emerged as the model for the study of cereal genomes. X. oryzae pv. oryzae (Xoo) is the causal agent of bacterial leaf blight in rice, one of the most devastating diseases of rice worldwide. New strains of Xoo are emerging causing severe damages to the crop. The use of resistant cultivars is the most effective way to control this disease. It will be of great importance to characterize new resistance genes. We will study the Xoo – rice pathosystem to discover new resistance genes in rice using genomic resources and functional analysis tools. The main goal is to profile selected rice mutants altered in their resistance pattern to Xoo using rice oligo arrays, classify them based on their deleted genomic regions and identify the function of key genes in resistance. Pr Leach team at the Colorado State University (USA) has developed the expertise and tools that are central to the success of the proposed project. My integration within Leach’s experienced team ensures the accomplishment of this project which adds new aspects to previous work with genes discovery in the area of molecular plant-pathogen interactions. This study provides me the opportunity i/ to work on a topic of main importance at an internationally renowned institution, ii/ to acquire new skills and knowledge while broadening my international experience, iii/ to transfer the acquired knowledge to Europe, and iv/ to strengthen long-term collaboration with the USA. The experience gained in this project will be valuable to the EU research community. Such better understanding of the molecular host plants interaction is of crucial importance to develop sustainable strategies to control diseases and to facilitate the efforts to breed novel resistant varieties. In addition, results obtained with rice will also have a great impact on research and improvement of other economically important cereals.

Keywords: technological sciences,xanthomonas,resistance,mutant collection,functional genomics