Agency: European Commission | Branch: H2020 | Program: IA | Phase: INSO-1-2014 | Award Amount: 2.80M | Year: 2015
The revolution in information technology over the last years has proven its ability to process huge amounts of data and made evident that big data can change the world. Open Government Data (OGD), from being an obscure possibility just five years ago, is spreading across the globe at a phenomenal rate, delivering the promise to spur innovation, to deliver better services for less money, to improve planning, to increase transparency, and to reduce corruption. In this context, YourDataStories envisions to bring this promise closer to reality, through a highly customisable online platform for data exploitation focused in the financial flows that are critical for transparency, collaboration and participation. Users, ranging from governmental bodies to journalists and to citizens, will be facilitated by powerful and established tools, not only to discover relevant information but also to remix it with diverse and dynamic data sources: YourDataStories acts like an interactive canvas to enable data citizens to (re)write their own data history. YourDataStories brings an innovative solution whose innovation potential spreads across many directions, from leveraging best practices and proven technologies across Europe, to exploiting the social Web for accessing citizens, and to supporting sustainable public services across borders. Building on top of the Transparency Portal initiative of the Greek government, YourDataStories can be viewed as a way to showcase and transfer the existing expertise to European level, in an attempt to transform governments and governance in Europe. At the same time, YourDataStories seeks to exploit and embed in this effort the benefits of the social Web, establishing an innovative bidirectional channel between the Social and Semantic Web. Finally, YourDataStories aims to support sustainable services, supported by a marketing ecosystem of applications offering cross-border services of public finance flows across Europe.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: ICT-38-2015 | Award Amount: 1.16M | Year: 2016
The aim of the 30-months PICASSO project is (1) to reinforce EU-US collaboration in ICT research and innovation focusing on the pre-competitive research in key enabling technologies related to societal challenges - 5G Networks, Big Data, Internet of Things and Cyber Physical Systems, and (2) to support the EU-US ICT policy dialogue by contributions related to e.g. privacy, security, internet governance, interoperability, ethics. PICASSO is oriented to industrial needs, provides a forum for ICT communities and involves 24 EU and US prominent specialists in the three technology-oriented ICT Expert Groups and an ICT Policy Expert Group, working closely together to identify policy gaps in the technology domains and to take measures to stimulate the policy dialogue in these areas. A synergy between experts in ICT policies and in ICT technologies is a unique feature of PICASSO. An analysis of the industrial drivers, societal needs, and priorities for EU-US ICT collaboration will be done, and policy gaps will be highlighted. An Opportunity Report will point out new avenues for EU-US research, innovation and policy collaboration. An ICT Industry Toolkit app will support companies and academia in exploiting collaboration opportunities. Policy briefs focusing on specific aspects of identified policy gaps will provide visibility for EU policies and propose ways forward. Strategic initiatives will be investigated and discussed, and a White Paper will be prepared. The outreach campaign will include 30\ events, success stories factsheets, info sessions and webinars. PICASSO will directly contribute to the strengthening of the European industrial leadership in ICT. PICASSOs approach will be integrative, inclusive, industry-driven, societally responsible and beneficial for both EU and US. It is supported by NIST, National Institute of Standard and Technology, US, and the European Cluster Alliance.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: SC1-PM-18-2016 | Award Amount: 5.42M | Year: 2016
Hearing Loss (HL) is one of the most prevalent chronic diseases and the 5th cause of disability. HL increases the risk of cognitive decline, mental illness, and depression, and leads to social isolation, unemployment/early retirement, loss of income and work discrimination. The pre-eminent management strategy for HL is the provision of Hearing Aids (HAs), although their use is often problematic, costly and with poor overall benefits. The holistic management of HL requires appropriate public health policies for HL prevention, early diagnosis, long-term treatment and rehabilitation; detection and prevention of cognitive decline; protection from noise; and socioeconomic inclusion of HL patients. However, currently the evidential basis for forming such policies is limited. Holistic HL management policies require the analysis of heterogeneous data, including HA usage, noise (TTS) episodes, audiological, physiological, cognitive, clinical and medication, personal, behavioural, life style, occupational and environmental data. EVOTION has access to big datasets of such data from five different organisations and will support their continuous update by real time data produced by sensors and HAs used by HL patients. To utilise these data in forming holistic HL management policies, EVOTION aims to develop an integrated platform supporting: (a) the analysis of the above datasets to enable the identification of causal and other effects amongst them, (b) policy decision making focusing on the selection of effective interventions related to the holistic management of HL, based on the outcomes of (a) and the formulation of related public health policies, and (c) the specification and monitoring of such policies in a sustainable manner. To achieve this aim, EVOTION also brings together public health policy organisations, experts and authorities supporting the formation of the targeted policies and the validation of the EVOTION support for it.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: PHC-30-2015 | Award Amount: 4.84M | Year: 2016
Cancers of the Head and Neck Region (HNC) are the 6th more deadly cancers worldwide: in Europe ~150.000 new cases are detected and ~70.000 patients die every year. The main reasons for high mortality are the fact that the majority of cases are diagnosed in advanced Stage and the intrinsic heterogeneity of such tumors. At present the only adopted treatment decision method is based on TNM (Tumor-lymph-Nodes-Metastasis) prognostic system, that considers only a few risk factors such as smoking, alcohol abuse and more recently HPV. The TNM system is therefore inadequate to capture the patient-specific biomolecular characteristics of the tumor. HNC treatments can have hard impact on patients aesthetics and functionalities and, due to their toxicity, can cause severe morbidity and greatly deteriorate patients quality of life. A more precise prognostic prediction than the current TNM system is needed that allows implementing the first-line treatment that maximizes the therapeutic result and minimizes the impacts of therapy. BD2Decide DSS provides clinicians with the means and all the necessary information to tailor treatment and care delivery pathway to each and any HNC patient during their usual practice, in contrast to current one-size-fits-all approach. BD2Decide realizes and validates an Integrated Decision Support System that links population-specific epidemiology and behavioral data, patient-specific genomic, pathology, clinical and imaging data with big data techniques, multiscale prognostic models. Advanced graphical visualization tools are developed for prognostic data disclosure and patient co-participation to the selected treatment. BD2Decide will improve the clinical decision process, uncover new patient-specific patterns that can improve care, and create a virtuous circle of learning. A multicentric clinical study with more than 1.000 patients will be used to validate the system.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: PHC-21-2015 | Award Amount: 4.47M | Year: 2015
The first and core objective of City4Age is to enable Ambient Assisted Cities or Age-friendly Cities, where the urban communities of elderly people living in Smart Cities are provided with a range of ICT tools and services that - in a completely unobtrusive manner - will improve the early detection of risks related to cognitive impairments and frailty while they are at home or in the move within the city. The second objective is to provide a range of associated tools and services which - with the appropriate interventions - will mitigate the detected risks. The final objective of C4A is to define a model which will provide sustainability and extensibility to the offered services and tools by addressing the unmet needs of the elderly population in terms of (i) detecting risks related to other health type problems, (ii) stimulating and providing incentives to remain active, involved and engaged, (iii) creating an ecosystem for multi-sided market by matching needs and their fulfillments, (iv) contributing to the design and operation of the ultimate Age-friendly City, where the city itself provides support for detecting risks and providing interventions to those affected by mild cognitive impairment (MCI) and frailty. To achieve these objectives City4Age builds on: - behavioural, sociological and clinical research on frailty and MCI in the elderly population; - state of art ICT technology (i) for sensing personal data and exposing them as linked open data, (ii) for designing the algorithms and the APIs to extract relevant behaviour changes and correlated risks, and (iii) for designing interventions to counter the risks, - stakeholder engagement in order to be driven by relevant user needs to ensure end-user acceptance.
Agency: European Commission | Branch: FP7 | Program: CSA | Phase: ICT-2013.10.3 | Award Amount: 1.03M | Year: 2014
In the fluid environment of the junction between FP7 and HORIZON 2020, the EAST HORIZON Support Action, brought forward by a balanced mixture of European Strategic Consulting companies, IT Industry, EECA National Research and Governmental Organizations, comes as a bridge for a two-way cooperation between the EECA and the EU.\nIt will inspire ideas, influence policies, and launch actions to:\nSupport the Dialogue between EU and EECA countries\nRaise awareness, help networking EECA organizations for participating in EU R&D and EU organizations participate in EECA R&D Programs.\nMatching EECA Societal Challenges, ICT R&D and Industrial Priorities to HORIZON 2020 concepts, EAST HORIZON, after validating results from previous related projects, will focus on new elements introduced by H2020 and the current frame of policy Dialogue between EU and EECA countries and bring concrete ideas and arguments to the Dialogue between the EC and EECA countries, in the perspective of a coherent ICT R&D cooperation policy.\nThe project will raise awareness by focused events where a deep insight of all relevant EU ICT R&D Frameworks will be provided; reciprocally it will gather feedback on EECA R&D Programs for enabling EU organizations participate in them.\nThe project will create a dense grid of relevant players on the two sides (ICT researchers, IT Associations, Companies, ETPs, Knowledge Networks and Policy makers) in a balanced way so as to maximize research collaboration, in parallel promoting innovation. This will shape new or strengthen existing business links between the EU and EECA IT Industries and Academia/Institutes.\nA permanent communication and collaboration platform, an environment where all ICT Research players meet and work together to raise ideas for joint Research projects will be established. The platform, linked to similar platforms, will be transferred to EECA stakeholders at project end, for achieving sustainability of collaboration mechanisms built under EAST HORIZON.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-09-2014 | Award Amount: 3.95M | Year: 2015
The rapid increase in demand for data-intensive applications capable of exploiting Big Data technologies such as Hadoop/MapReduce, NoSQL, cloud-based storage, and stream processing is creating massive growth opportunities for European independent software vendors (ISVs). However, developing software that meets the high-quality standards expected for business-critical cloud applications remains a barrier to this market for many small and medium ISVs, which often lack resources and expertise for advanced quality engineering. DICE will tackle this challenge by defining a quality-driven development methodology and related tools that will markedly accelerate the development of business-critical data-intensive applications running on public or private clouds. Building on the principles of model-driven development (MDD) and on popular standards such as UML, MARTE and TOSCA, the project will first define a novel MDD methodology that can describe data and data-intensive technologies in cloud applications. A quality engineering toolchain offering simulation, verification, and numerical optimisation will leverage these extensions to drive the early design stages of the application development and guide software quality evolution. DevOps-inspired methods for deployment, testing, continuous integration and monitoring feedback analysis will be used to accelerate the incorporation of quality in data-intensive cloud application both in public and private deployments, enhancing the capability of small and medium European ISVs to enter the Big Data market.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FOF-11-2016 | Award Amount: 3.47M | Year: 2016
Industry 4.0 is the next developmental stage in the organisation of the manufacturing value chain. ICT-based systems will play a major role, mainly by creating a virtual copy of the physical world and facilitating decentralised structures through Cyber-Physical Systems (CPS). Over the IoT, CPS cooperate with each other and humans in real-time. Via the Internet-of-Services, internal and cross-organisational services are utilised by participants of the value chain. DISRUPT aims to spearhead the transition to the next-generation manufacturing by facilitating the vision of a Smart Factory. The new era of manufacturing asks for flexible factories that can be quickly reprogrammed to provide faster time-to-market responding to global consumer demand, address mass-customisation needs and bring life to innovative products. The traditional automation pyramid seems unable to accommodate this transformation. Our concept is to DISRUPT that pyramid by utilising the capabilities offered by modern ICT to facilitate (i) in-depth (self-)monitoring of machines and processes, (ii) decision support and decentralised (self-)adjustment of production, (iii) effective collaboration of the different IoT-connected machines with tools, services and actors (iv) seamless communication of information and decisions from and to the plant floor and (v) efficient interaction with value chain partners. Within DISRUPT, each element of production is controlled via the IoT by its virtual counterpart. The data collected is analysed to detect complex events that trigger automated actions. DISRUPT offers a set of decision support tools based on three core modules (modelling, simulation and optimisation) and a secure and flexible plug-n-play platform that will allow engineers from different disciplines to collaborate in developing services. It will be cloud-based to accommodate the anticipated high data volume and computational needs, while offering accessibility via any device anywhere in the world.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: PHC-26-2014 | Award Amount: 4.03M | Year: 2015
In European Union approximately 5 million people suffer from psychotic disorders. Between 30-50% can be considered resistant to treatment, and 10-20% ultra-resistant. These patients present persistent positive symptomatology, require extensive periods of hospital care, and have a greater risk of excess mortality and multi-morbidity. In addition, a high proportion of the total cost for treating schizophrenia is spent on this population (Kennedy et al., 2013). Intervention strategies based on mHealth have demonstrated their ability to support and promote self-management-based strategies. Evidence from studies point to the importance of engaging patients actively in their own treatment. This active role helps to improve adherence to treatment, and to reduce persistent symptoms severity, relapses and hospitalizations (Mueser et al., 2002). m-RESIST aims to develop an intervention programme based on mHealth to allow patients suffering from resistant schizophrenia to self-manage their condition (resistant schizophrenia and its associated comorbidities, e.g. somatic disorders and addictions). This may facilitate acceptance and involvement of patients with their own treatment, as well as of caregivers. Moreover this programme could provide a new tool to the psychiatrist, psychologists working together with other health care professionals, to better monitor patients, through a personalised and optimised therapeutic process. m-resist will (1) develop and validate an mHealth solution aimed to reduce the severity of episodes and further complications; (2) involve and promote participation of patients and caregivers in the therapeutic process increasing the awareness of patient and caregiver about the nature of the illness and its consequences, benefits of treatment and needs for healthy habits and promoting an active and collaborative role with the medical team in the treatment decision-making procedure.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-31-2014 | Award Amount: 1.38M | Year: 2015
Increasingly, activities in work and social life are conducted within human-machine networks, where collaboration involves many different actors; governments and organisations, individuals and machines such as smart devices, sensors and computing infrastructure. The targets of these networks can be for policy making, commercial innovation, education, improved quality of life, information exchange or resource organisation. As networks become more complex and include more connections between humans and machines, so the characteristics of those networks become important in determining the effectiveness and successful evolution of the collaborations which they support. Emerging challenges are: understanding the processes necessary for developing and maintaining human-machine networks such that they are able to deliver their intended outcomes; and applying this knowledge to support emerging networks in public, commercial and civil domains to more readily achieve key European goals. In HUMANE we will develop a typology of human-machine networks focused on characteristics of relationships between networked humans and machines such as trust, motivation, reputation, responsibility, privacy and security. We will consider health indicators for networks and create prototype tools that can be exploited through a community of stakeholders to create and enrich human-machine networks. We will propose a roadmap and methodology for the evolution of such networks, appropriate to the needs of ICT developers, building on in-depth case studies taken from R&I projects relevant to the societal DAE pillars to form a supporting framework for future thinking and ICT policy-making in Europe. The project partners in HUMANE have wide and complementary experience in social sciences and ICT R&I, essential for bridging the technological, societal, industrial and human-centric components necessary to achieve improved understanding of emerging hyper-connected human-machine networks.