Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Roadmap for Conversational Interaction Technologies (ROCKIT)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Technologies for Digital Content and Languages
Action type: Coordination and support actions
Countries involved: United Kingdom,Belgium,Switzerland,Germany,United Kingdom,United Kingdom
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-12-01
End date: 2015-11-30
Duration (months): 24.0
Total project cost (EUR): 1646561.0
EU funding (EUR): 1488000.0
Participants: 6
Project status: CLOSED

ROCKIT is a strategic roadmapping proposal for research and innovation in the area of natural conversational interaction. The primary scientific focus concerns interactive agents which are proactive, multimodal, social, and autonomous. A second focus concerns systems which can extract and exploit rich context and knowledge from heterogenous data sources. The main goal of ROCKIT is the development of a Research and Innovation Roadmap which integrates the vision and innovation agendas of those organisations (concerned with R&D and exploitation) in the field across Europe, with a broad coverage across sectors. A key goal is to bring together public sector research organisations with commercial organisations at all scales, with a particular focus on SMEs that represent the majority of fragmented commercial activity in Europe. ROCKIT has five key objectives: 1. Construction of a unifying roadmap for natural spoken and multimodal interaction; 2. Formation of a broad-based, cross-sector community mobilised around the ROCKIT roadmap, the Conversational Interaction Technology Innovation Alliance; 3. Recommendations for a common European platform based on an open architecture for Conversational Interaction Technologies; 4. Identification of a number of target scenarios to drive future research, innovation, and economic/social development; 5. Establishment of a research and innovation agenda for Conversational Interaction Technologies. A key aspect of ROCKIT will be to organise a European research and innovation community in the area of conversational interaction technologies, integrating a wide-range of commercial organisations with application and use links to the area. ROCKIT will be structured around a set of sector-based clusters including mobile applications, healthcare, education, games, broadcast media, robotics, law enforcement, and security.

Keywords: natural spoken and multimodal interaction interactive agents conversational technologies multimodal interaction spoken language interfaces rich context
Telepresence Reinforcement-learning Social Agent (TERESA)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive Systems and Robotics
Action type: Collaborative project
Countries involved: Netherlands,Netherlands,Spain,United Kingdom,France,Sweden
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-12-01
End date: 2016-11-30
Duration (months): 36.0
Total project cost (EUR): 3905227.0
EU funding (EUR): 3000000.0
Participants: 7
Project status: CLOSED

TERESA aims to develop a telepresence robot of unprecedented social intelligence, thereby helping to pave the way for the deployment of robots in settings such as homes, schools, and hospitals that require substantial human interaction. In telepresence systems, a human controller remotely interacts with people by guiding a remotely located robot, allowing the controller to be more physically present than with standard teleconferencing. We will develop a new telepresence system that frees the controller from low-level decisions regarding navigation and body pose in social settings. Instead, TERESA will have the social intelligence to perform these functions automatically. The project’s main result will be a new partially autonomous telepresence system with the capacity to make socially intelligent low-level decisions for the controller. Sometimes this requires mimicking the human controller (e.g., nodding the head) by translating human behavior to a form suitable for a robot. Other times, it requires generating novel behaviors (e.g., turning to look at the speaker) expected of a mobile robot but not exhibited by a stationary controller. TERESA will semi-autonomously navigate among groups, maintain face-to-face contact during conversations, and display appropriate body-pose behavior. Achieving these goals requires advancing the state of the art in cognitive robotic systems. The project will not only generate new insights into socially normative robot behavior, it will produce new algorithms for interpreting social behavior, navigating in human-inhabited environments, and controlling body poses in a socially intelligent way. The project culminates in the deployment of TERESA in an elderly day center. Because such day centers are a primary social outlet, many people become isolated when they cannot travel to them, e.g., due to illness. TERESA’s socially intelligent telepresence capabilities will enable them to continue social participation remotely.

Keywords: informatics research telepresence robotics socially intelligent robotics robot navigation human-robot interaction computer vision machine learning reinforcement-learning innovative health care
COLLECTIVE APPLIED INTELLIGENCE AND ANALYTICS FOR SOCIAL INNOVATION (CATALYST)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: France,France,United Kingdom,Switzerland,United Kingdom,Germany,Italy
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2015-09-30
Duration (months): 24.0
Total project cost (EUR): 2056507.0
EU funding (EUR): 1658000.0
Participants: 8
Project status: CLOSED

CATALYST brings together deeply experienced community-partners engaged daily in curating very large online communities on social innovation and citizen engagement platforms, and leading academic research partners specialized in Collective Intelligence (CI). The project will undertake technological developments aimed at radically improving collaborative knowledge creation through ground-breaking functionalities intended to mobilize CI for the public good, and will test these next generation solutions in authentic, real world settings. Within a CI Spectrum ranging from Sensing to Collective Action, CATALYST focuses on Contested CI (Sensemaking and Ideation), which recognises the centrality of deliberation, argumentation and public debate. In order to understand and support the dynamics of multilingual social and deliberation networks, the project will look at: • Human-assisted online tools to inexpensively harvest the vast amount of data and knowledge that develop in social media, and facilitate collective ideation, creativity and citizen engagement; • Analytics to measure the quality of the collective intelligence dynamics back to the community to make the collaborative process significantly more effective. Academics and community-partners will be in close dialogue with software developers. Community-partners’ “pain points” have already been identified. A mapping between pain points and research concepts will be established, moving to use cases, which will drive rapid prototyping and testing via an Agile methodology. CATALYST will deliver an ecosystem of CI services that will augment partners’ platforms with Web-based Annotation tools; Recommenders to help users prioritise attention; Online creativity triggers; Interactive Visualizations, and Social Network and Deliberation Analytics. A coherent user experience will be delivered through a CI Analytics Dashboard. All project developments will be carried out under an open source / free software license.

Keywords: collective awareness,collective intelligence,collective action,social innovation,sustainable future,international cooperation
ALFRED - Personal Interactive Assistant for Independent Living and Active Ageing (ALFRED)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Germany,Spain,Germany,Spain,Germany,Netherlands,Sweden,France,Spain,Spain
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-09-30
Duration (months): 36.0
Total project cost (EUR): 4443408.0
EU funding (EUR): 3423572.0
Participants: 11
Project status: CLOSED

***Personal Interactive Assistant for Independent Living and Active Ageing*** In an optimal society, elderly people will be able to live at their own homes with the possibility to act independently and to actively participate in society. The ALFRED proposal will contribute to this goal by providing a personal and interactive assistant for elderly people. ALFRED will foster independent living and active ageing, integrating interactive services for elderly people and for care-takers. It will prevail age-related physical and cognitive impairments through the effective use of ICT and the better coordination of care processes. In order to achieve those objectives, the project will create a virtual, interactive assistant for elderly people. This assistant will be realized as a mobile device running on day-to-day Android smartphones allowing a wide impact of the project results. ALFRED will be fully voice-controlled and combine latest scientific research results from mobile development, data management, context aware services, speech recognition and personal data management, combined with activities from behavioural and social science. In one sentence: ALFRED will realize a mobile, personalized Butler for elderly people helping them to stay independent, to coordinate with caregivers and to foster the active participation in society. ALFRED will be fully voice controlled and could – from a user perspective - also be described as “Siri for supporting elderly people” but with an open and extendable app background and with a clear and precise focus on improving the life of elderly people. Developers will be able to contribute new “Health Apps” to ALFRED extending the platform and generating new added value.

Keywords: user-driven interaction assistant,personalized social inclusion,effective & personalized care,physical & cognitive impairments prevention,ehealth,ict
Proof of Concept of Model-based Cardiovascular Prediction (CARDIOPROOF)

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,United Kingdom,Germany,France,Austria,France
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-12-31
Duration (months): 39.0
Total project cost (EUR): 5868944.0
EU funding (EUR): 4107000.0
Participants: 11
Project status: CLOSED

CARDIOPROOF is a proof-of-concept project that consolidates the outcomes of previous VPH projects and checks the applicability and effectiveness of available predictive modelling and simulation tools, validating them in interrelated clinical trials conducted in three European centres of excellence in cardiac treatment (from Germany, Italy and the UK). CARDIOPROOF focuses on patients with aortic valve disease and aortic coarctation, which, if left untreated, can ensue irreversible heart failure. As a result treatment becomes mandatory, but optimum timing and the best type of treatment still remain difficult to determine. With more than 50.000 interventions per year within the EU, the diseases addressed by CARDIOPROOF have a significant socio-economic impact. Present clinical guidelines are highly complex and rely mostly on imaging diagnostics and clinical parameters, without benefiting, as yet, from patient-specific disease modelling based prediction. CARDIOPROOF goes beyond the current state of the art by conducting validation trials aimed at covering and comparing the complete spectrum of cardiovascular treatment, predicting the evolution of the disease and the immediate and mid-term outcome of treatment. Operational clustering is going to provide a seamless clinical solution that applies different modeling methods to realize the potential of personalised medicine taking into account user-friendliness as a key component of clinical usability. CARDIOPROOF’s goal is to provide first-hand data on comparative cost-effectiveness and clinical efficacy of the most advanced VPH approaches compared to conventional diagnostics and treatment algorithms, thus accelerating the deployment of VPH methods in clinical environments, and bring to maturity holistic patient-specific computer-based predictive models and simulations.

Keywords: aortic coarctation,aortic valve disease,clinical validation,computer-based-modelling,disease modelling,model-driven clinical workflows,predictive medicine,virtual phisiological human.
Data Insights for Policy Makers and Citizens (SENSE4US)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: United Kingdom,United Kingdom,Germany,Belgium,Germany,United Kingdom,Sweden
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-12-31
Duration (months): 39.0
Total project cost (EUR): 3332562.0
EU funding (EUR): 2540000.0
Participants: 7
Project status: CLOSED

Making and implementing policy at any level of government is fraught with difficulty. The impact of decisions made are not always obvious at the time the policy is formulated or enacted, and any short-comings of the policy become known too late to change it. This is not due to a lack of information, it is due to the difficulty of finding and aggregating the right data out of the sea of information which characterises our modern world. Having once formulated a policy it is then impossible to make useful predictions around its likely impact and effectiveness. Policy specialists lack the resources and the methodology to be able to access most current data and are unable to take into account the views of citizens on policy issues expressed in real time through social network discussions. SENSE4US is creating an integrated package of utilities based on cutting-edge research that meets this need for tools and techniques to support information gathering, analysing and policy modelling in real time. Through close interaction with policy makers around Europe the project will validate results in complex policy-making settings and direct the research towards the support of more timely, more effective and better understood policy creation. The SENSE4US project will tackle these challenges of policy making and implementation, integrating the benefits of both quantitative open data sources and qualitative social media data. We will provide tools enabling policy makers to find and select relevant information; link and homogenise the data; model policy in terms of constraints and intent; validate the policy; discover and incorporate views from NGOs and public; predict social impact of policy; provide decision support; provide understandable visualisation. The ultimate objective of the SENSE4US project is to advance policy modelling and simulation, data analytics and social network discussion dynamics, providing economic and social benefits at all governmental levels across Europe.

Keywords: policy making,social network,game theory,simulation,prediction,linked data,economy,lifecycle,metadata,open data,lexical analysis,data analytics,government,society,policy modelling
Impact Assessment For Social Innovation (IA4SI)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Coordination and support actions
Countries involved: Italy,Greece,Belgium
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-10-01
End date: 2016-05-31
Duration (months): 32.0
Total project cost (EUR): 794597.0
EU funding (EUR): 720000.0
Participants: 4
Project status: CLOSED

The IA4SI project aims to develop a structured methodology able to evaluate the potential socio-political, economic and environmental impacts of grassroots social innovation initiatives on society and to map key characteristics able to determine a wider uptake of the initiatives at social level. IA4SI will support and offer opportunities for knowledge exchange and synergies development to projects funded under Objective ICT-2013.5.5 Collective Awareness Platforms for Sustainability and Social Innovation. It will do so by: - Adapting well experimented socio-economic impact assessment methodologies to the specific field of social innovation; - Offer three online tools for impact self-assessment, enabling projects to understand and improve their impacts on objectives stated in the call and in terms of efficiency, effectiveness, innovativeness and uptake potential. The three tools will be targeted to: the projects, their users and European citizens that will be engaged in the evaluation of the projects by voting; - Identifying best practices and supporting them in reaching the planned impact on communities; - Creating synergies and coordination between funded projects on social innovation; - Engaging European citizens in the evaluation of social innovation initiatives and in becoming aware of the potentialities of the social innovation approach; - Developing policy recommendation and a research roadmap for integrating different initiatives with the final aim of increasing their impact on communities and their capability to address societal challenges.

Keywords: socio- political and economic impact assessment,social innovation,coordination,networking,best practices,eu citizens engagement,awareness platform analysis,policy recommendations
Semiconductor Equipment Assessment for Key Enabling Technologies (SEA4KET)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Alternative Paths to Components and Systems
Action type: Collaborative project
Countries involved: Germany,Austria,Austria,Belgium,Netherlands,Germany,France,Germany,Israel,Austria,France,Germany,Hungary,Germany,France,Germany,Germany,Netherlands,Germany
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-11-01
End date: 2017-04-30
Duration (months): 42.0
Total project cost (EUR): 11044123.0
EU funding (EUR): 7214989.0
Participants: 27
Project status: CLOSED

SEA4KET (Semiconductor Equipment Assessment for Key Enabling Technologies) is an IP proposal taking the consequent step from equipment R&D to equipment assessment experiments. The strategic objective is to effectively combine resources and expertise in a joint assessment of novel equipment for key enabling technologies to foster and accelerate the successful transfer of novel European equipment into the world-wide market. SEA4KET builds on the proven principle established in previous European SEA programs and projects: to take novel, innovative and promising equipment that has left the R&D phase into a joint assessment activity – this bridges the well-known gap between the phase of having an engineered tool available and finding the “first user” and finally success in the market for it. While proven principles from previous SEA activities are kept, SEA4KET takes them to the new field of assessing equipment for Key Enabling Technologies: SEA4KET concentrates on process and metrology systems for important enablers of future technologies: 450 mm wafer equipment, SiC material and 3D processing. The proposal comprises 15 sub-projects each dedicated to a specific equipment. The assessment activities were to a lesser extent chosen by “high S&T” excellence, but by their expected chance on the market. While leading R&D institutes are active in each assessment experiment to support individual final developments, several cross-cut R&D activities were identified (and combined in a dedicated sub-project) that are relevant to multiple assessments. Training material will be provided and workshops will be organized, to support and strengthen the individual dissemination activities. SEA4KET will significantly strengthen the European equipment and material industry for the emerging market for Key Enabling Technologies in a sustainable way by combining advanced R&D with equipment assessment involving users, institutes and equipment suppliers – with specific benefit for SME suppliers.

Keywords: semiconductor equipment assessement,key enabling technologies,process equipmnet,metrology equipment,handling solutions,cross-cut r&d,equipment maturity,450 mm,sic
PREventive Care Infrastructure based On Ubiquitous Sensing (PRECIOUS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for Health, Ageing Well, Inclusion and Governance
Action type: Collaborative project
Countries involved: Finland,France,United Kingdom,Austria,Spain,Belgium,Finland
Call:  (FP7-ICT-2013-10, 2013)
Start date: 2013-11-01
End date: 2016-10-31
Duration (months): 36.0
Total project cost (EUR): 3684649.0
EU funding (EUR): 2808999.0
Participants: 8
Project status: CLOSED

PRECIOUS: PREventive Care Infrastructure based On Ubiquitous Sensing will provide a preventive care system to promote healthy lifestyles, which is comprised of three components: (1) transparent sensors for monitoring user context and health indicators (food intake, sleep and activity) deliver ambient data about current user behavior; (2) users are represented by individual virtual models which allow inferring health risks and desired behavioral changes; (3) state-of-the-art motivational techniques originating especially from gamification and motivational interview trigger a set of feedback tools to change the user habits toward more healthy conduct. While related projects usually focus on developing specific sensors, middleware solutions, health monitoring systems, eHealth services, etc., both the individual virtual model and the associated motivational tools will now provide key innovation steps towards a preventive care system with measurable impact on user behavior and thus a clear potential for large scale commercialization and sustainable societal footprint (e.g. with respect to cost saving in the public health sector as well as life quality improvements). To reach these goals, PRECIOUS consortium gathers partners from academia, SMEs and hospitals with comprehensive expertise in networking, pervasive sensing, cognitive analysis, nutrition research, semantic technologies and motivational techniques. We have chosen to focus on type II diabetes as a central use case, while our prototype will be easily adaptable also to other lifestyle induced diseases. The system will not only detect and communicate detailed early warning signs, but also provide forecasts of future developments and associated problems (if change recommendations are not followed). Extensive lab and field based user trials will demonstrate the efficacy of the PRECIOUS system and prove its positive and lasting impact on individual quality of life as well as public health sector development.

Keywords: ehealth,preventive care,gamification,sensing