Passau, Germany

University of Passau

www.uni-passau.de
Passau, Germany

The University of Passau is a public research university located in Passau, Lower Bavaria, Germany. Founded in 1973, it is the youngest university in Bavaria and consequently has the most modern campus in the state. Nevertheless, its roots as the Institute for Catholic Studies date back some hundreds of years.Today it is home to four faculties and 36 different undergraduate and postgraduate degree programmes. Wikipedia.


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Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-15-2014 | Award Amount: 4.26M | Year: 2015

Social Sentiment Indices powered by X-Scores (SSIX) aims to provide European SMEs with a collection of easy to interpret tools to analyse and understand social media users attitudes for any given subject; these sentiment characteristics can be exploited to help SMEs to operate more efficiently resulting in increased revenues. Social media data represents a collective barometer of thoughts and ideas touching every facet of society. SSIX will search and index conversations taking place on social network services, such as Twitter, StockTwits, and Facebook including the most reliable and authoritative Newswires, online newspapers, trade publications and blogs. SSIX will classify and score content using a framework of qualitative and quantitative parameters called X-Scores, regardless of language, locale or data architecture. The X-Scores framework will interpret economically significant sentiment signals in social media conversations producing sentiment metrics, such as momentum, awareness scope, topic density and historical comparison. These metrics will create commercially viable social sentiment indices, which can be tailored to any domain of interest. By enabling European SMEs to analyse and leverage social sentiment in their discipline, SSIX will facilitate the creation of innovative products and services by enhancing the investment decision making process, thus increasing revenue while also minimising risk.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-22-2014 | Award Amount: 3.64M | Year: 2015

Automatic Sentiment Estimation in the Wild


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: PHC-19-2014 | Award Amount: 3.99M | Year: 2015

MARIO addresses the difficult challenges of loneliness, isolation and dementia in older persons through innovative and multi-faceted inventions delivered by service robots. The effects of these conditions are severe and life-limiting. They burden individuals and societal support systems. Human intervention is costly but the severity can be prevented and/or mitigated by simple changes in self-perception and brain stimulation mediated by robots. The proposal is coordinated by the nursing unit of NUI, involves managers of the City of Stockport developing social care and community support programs to older persons, and also involves an important hospital in Italy pushing research boundaries in comprehensive geriatric assessment. Pilot activities and interaction with caregivers, older persons and stakeholders (within a standards based medical assessment methodology) is present from beginning to finish and provides a user led design ethos. The proposal brings together the well-known Kompai platform and commercial footprint of ROBOSOFT, control expertise of RURobots, advances from the computer laboratory at CNR, and an innovative robot application development platform by Ortellio. Dedicated telecommunication (CNET) and exploitation experts (R2M) widen technical and market outreach potential. From this unique combination, clear advances are made in the use of semantic data analytics, personal interaction, and unique applications tailored to better connect older persons to their care providers, community, own social circle and also to their personal interests. Each objective is developed with a focus on loneliness, isolation and dementia. The impact centres on deep progress toward EU scientific and market leadership in service robots and a user driven solution for this major societal challenge. The competitive advantage is the ability to treat tough challenges appropriately. The path to market deployment by bringing Mario solutions to end users is clearly developed.


Grant
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2016 | Award Amount: 3.91M | Year: 2017

The EU currently is negotiating a controversial Transatlantic Trade and Investment Partnership (TTIP) agreement with the USA, the main features of which will be the abolition of tariffs, the reduction of non-tariff barriers to trade between the EU and the USA and the introduction of a dispute settlement mechanism. The objective of the proposed TTIP Innovative Training Network (TTIP-ITN) is to foster interdisciplinary research into TTIP with a view to create a significantly increased European knowledge base and research capacity on TTIP, thus helping Europe to reap the benefits of TTIP (wealth, jobs, etc.) while addressing its challenges (democracy, accountability, environmental- and labour standards, etc.).The network is an interdisciplinary, intersectoral collaboration pooling world-leading researchers and practitioners from all relevant disciplines of law - EU constitutional, internal market, and external relations law, international trade law, and international law, as well as political science, international relations, business studies, and economics. TTIP-ITN fully integrates non-academic Beneficiaries and Partner Organisations, including think tanks, lobbyists, regulatory bodies, law firms, US academic institutions, and an international organisation. Furthermore, the network will support and enhance the process of converting research results into policy papers through partnership with high-impact policy research units at the forefront of European policy research and policy making. The work package consists of 3 substantive work packages on (1) transatlantic governance, (2) transatlantic regulation, and (3) multilateralism and regionalism. 15 PhD research projects will be supervised by academics of the 11 Beneficiaries with an interdisciplinary training programme covering the legal, political and economic foundations of TTIP and an interdisciplinary and intersectoral programme of secondments involving 22 Partner Organisations.


Grant
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2015-ETN | Award Amount: 3.87M | Year: 2016

Smart Home (SH) provides a promising approach to assisted living for the ageing population. Yet it still remains a challenge to develop and deploy such solutions in a large scale due to the lack of an easy-to-use technology infrastructure and application exemplars. This problem arises from the nature of the SH field: multidisciplinary, diverse in its applications, and with multiple stakeholders. Whilst a one-size-fits-all technology infrastructure seems unlikely, alternatives are still missing. In addition, an effective approach to cross-discipline, cross-sector understanding for best practices has so far not been seen. ACROSSING addresses this problem by implementing a multidisciplinary cross-sector pan-European training network to knock down barriers between disciplines and sectors and providing the ESRs with a broad training experience. ACROSSING develops 15 topically complementary research projects covering four core research themes, and four main application categories. By multidisciplinary collaborations and cross-sector interactions, the ESRs will develop flexible, interoperable underlying technologies which are then applied to and evaluated in multiple real application scenarios, leading to four specialised technology infrastructures and four best-practice application demonstrators. ACROSSING also deliver comprehensive blended training by combining campus-based and industrial practice training, and perspectives on personal development and social issues by well-established researchers and practitioners from academic, industry and user organisations. Whilst the scientific focus is to challenge the traditional way of SH research to develop advanced technologies and platforms, the training will train ESRs to establish links between research, real-world problems, innovation and personal career. ACROSSING will share software and datasets using open source technologies, and promote findings and impact through a number of measures, e.g. online, outreach events.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-32-2014 | Award Amount: 8.38M | Year: 2015

With a current volume of over USD 100 billion and annual growth rates of over 10%, the world-wide market for cloud computing can be considered as the major growth area in ICT. However, big companies and public authorities are reluctant to entrust their most sensitive data to external parties for storage and processing. The reason for their hesitation is clear: There exist no satisfactory approaches to adequately protect the data during its lifetime in the cloud. PRISMACLOUD addresses these challenges and yields a portfolio of novel security enabled cloud services, guaranteeing the required security for sensitive data in the cloud. Techniques for outsourcing computation with verifiable correctness and authenticity-preservation allow to securely delegate computations to cloud providers. A distributed multi-cloud data storage architecture shares data among several cloud providers and improves security and availability. Dynamically updating shares by means of novel techniques avoids vendor lock-in, preserves data authenticity, facilitates long term privacy and promotes a dynamic cloud provider market. Claims about the secure connection and configuration of the virtualized cloud infrastructures and properties of cloud topologies are verifiable by means of cryptographic techniques. User privacy issues are addressed by data minimization and anonymization technologies due to the application of privacy-preserving cryptographic techniques. As feasibility proof, three use cases from the fields of SmartCity, e-Government, and e-Health, will be implemented and evaluated by the project participants. The PRISMACLOUD work program is complemented with activities addressing secure user interfaces, secure service composition, secure implementation in software and hardware, security certification, and an impact analysis from an end-user view. In order to converge with the European Cloud Computing Strategy, a strategy for the dissemination of results into standards is developed.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-30-2015 | Award Amount: 6.96M | Year: 2016

AGILE project aims to create an open, flexible and widely usable IoT solution at disposal of industries (startups, SMEs, tech companies) and individuals (researchers, makers, entrepreneurs) as a framework that consists of: A modular IoT gateway enabling various types of devices (wearables, home appliances, sensors, actuators, etc.) to be connected with each other and to the Internet; Data management and device control maximizing security and privacy, at local level and in the cloud, technologies and methodologies to better manage data privacy and ownership in the IoT; Support of various open and private clouds; Recommender and visual developers interfaces enabling easy creation of applications to manage connected devices and data; Support of mainstream IoT/M2M protocols, and SDKs from different standardization bodies for device discovery and communication; Two separate gateway hardware versions: a) the makers version, based on the popular RaspberryPi platform for easily prototyping and attracting the current community; b) the industrial version for more industrial and production-ready applications; An ecosystem of IoT applications shareable among users and developers leveraging on existing initiatives by key stakeholders in this domain, like Canonical and Ubuntu Snappy IoT ecosystem. Piloted in relevant open areas (fields and in a port) for field & cattle monitoring through drones, air quality & pollution monitoring and in smart retail, AGILE will be easily adaptable and usable in different contexts serving as an horizontal technology for fast IoT prototyping and engineering in different domains. Following an open hardware/software approach, harnessing the power of IoT developers and entrepreneurs communities, AGILE aims to offer tools to overcome limitations imposed by closed and vertical walled gardens for IoT apps development, offering a fully open platform for integration and adaptation with 3rd parties enabling a new marketplace for IoT apps


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-20-2015 | Award Amount: 3.90M | Year: 2016

Autism Spectrum Conditions (ASC, frequently defined as ASD - Autism Spectrum Disorders) are neurodevelopmental conditions, characterized by social communication difficulties and restricted and repetitive behaviour patterns. There are over 5 million people with autism in Europe around 1 in every 100 people, affecting lives of over 20 million people each day. Alongside their difficulties, individuals with ASC tend to have intact and sometimes superior abilities to comprehend and manipulate closed, rule-based, predictable systems, such as robot-based technology. Over the last couple of years, this has led to several attempts to teach emotion recognition and expression to individuals with ASC, using humanoid robots. This has been shown to be very effective as an integral part of the psychoeducational therapy for children with ASC. The main reason for this is that humanoid robots are perceived by children with autism as being more predictable, less complicated, less threatening, and more comfortable to communicate with than humans, with all their complex and frightening subtleties and nuances. The proposed project aims to create and evaluate the effectiveness of such a robot-based technology, directed for children with ASC. This technology will enable to realise robust, context-sensitive (such as user- and culture-specific), multimodal (including facial, bodily, vocal and verbal cues) and naturalistic human-robot interaction (HRI) aimed at enhancing the social imagination skills of children with autism. The proposed will include the design of effective and user-adaptable robot behaviours for the target user group, leading to more personalised and effective therapies than previously realised. Carers will be offered their own supportive environment, including professional information, reports of childs progress and use of the system and forums for parents and therapists.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-15-2014 | Award Amount: 3.53M | Year: 2015

MixedEmotions will develop innovative multilingual multi-modal Big Data analytics applications that will analyze a more complete emotional profile of user behavior using data from mixed input channels: multilingual text data sources, A/V signal input (multilingual speech, audio, video), social media (social network, comments), and structured data. Commercial applications (implemented as pilot projects) will be in Social TV, Brand Reputation Management and Call Centre Operations. Making sense of accumulated user interaction from different data sources, modalities and languages is challenging and has not yet been explored in fullness in an industrial context. Commercial solutions exist but do not address the multilingual aspect in a robust and large-scale setting and do not scale up to huge data volumes that need to be processed, or the integration of emotion analysis observations across data sources and/or modalities on a meaningful level. MixedEmotions will implement an integrated Big Linked Data platform for emotion analysis across heterogeneous data sources, different languages and modalities, building on existing state of the art tools, services and approaches that will enable the tracking of emotional aspects of user interaction and feedback on an entity level. The MixedEmotions platform will provide an integrated solution for: large-scale emotion analysis and fusion on heterogeneous, multilingual, text, speech, video and social media data streams, leveraging open access and proprietary data sources, and exploiting social context by leveraging social network graphs; semantic-level emotion information aggregation and integration through robust extraction of social semantic knowledge graphs for emotion analysis along multidimensional clusters.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: GV-8-2015 | Award Amount: 6.15M | Year: 2016

ELECTRIFIC will revolutionise how electric vehicles are integrated into power grid and users life. The fundamental premise on which the project will work that significant improvements to electromoblity can be unlocked by increasing coordination of all the actors in the electromobility ecosystem. To this end, the project will deliver novel techniques and ICT tools for enabling such coordination at all levels of the ecosystem. At the grid level, the project will develop new smart charging stations capable of dynamically controlling charging rate, maximizing the use of renewables and making as grid-friendly as possible. At level of EV users, the project will develop advanced driver assistance services that help and motivate the users plan travel and charging in a way that is convenient and yet respects potential constraints on charging capacity. Finally, at the EV fleet level, the project will develop management tools that help to optimise fleet operations, maximising battery lifetime and minimising charging costs. ELECTRIFIC comprises a balanced consortium of experienced research partners, energy providers and innovative electromobility SMEs. The results of the project will disseminated in the scientific community and rolled out to commercial use from e-bikes to e-buses, from private owners to government services and including cross-border mobility.

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