The project DYNAMIC has been chosen as one of the most innovative IT projects in 2016 to be funded with the Software Campus initiative. DYNAMIC deals with distributed online social networks and with the creation of dynamic social graphs based on location, context, and profile data. In current Online Social Networks, relations between users are mostly based on explicitly created connections. In DYNAMIC, we want to extend the concept of explicit connections by implicit, dynamic social graphs. More... [38]

eBiz (Business Information Zone) is an innovation action in the Exploration Area „Digital Finance“ funded by and in cooperation with partners of EIT Digital. The project aims at introducing an innovative financial product, allowing small and medium enterprises to safely, transparently, immediately and cost-efficiently perform financial and administrative tasks, first limited to Hungary, and to be released later in the CEE region. In this context, the project allows to develop and validate both state of the art and novel methods in the area of financial machine learning and graph theory to generate valuable new insights and to classify and predict financial transactions. More... [40]

IC4F - Industrial Communication for Factories is the flagship project with the goal of developing safe, robust, and real- time communication solutions for the manufacturing industry. By mid of 2020, 15 project partners from industry and research will develop a technology toolkit for a trustworthy infrastructure based on industrial information and communications technology (ICT). The project strives for an open architecture that extends across domains and allows a modular extension for new applications and communication technologies. In particular, the technology kit will enable users to select a specific migration path along with the right ICT technologies according to the new requirements in the scope of the industrial Internet / Industry 4.0. The project is supported by the Federal Ministry of Economics and Energy (BMWi) within the PAiCE funding program. More... [42]

The privacy project PARADISE (Privacy-enhancing And Reliable Anti-Doping Integrated Service Environment) is funded by the Federal Ministry of Education and Research (BMBF). The project goal is to increase confidentiality and privacy of athletes' whereabouts data in the context of national anti-doping controls. Together with our partners and the National Anti-Doping Agency (NADA, associated), we are improving the privacy aspects of national athletes by introducing a privacy-enhancing anti-doping environment. More... [44]

SPECIAL will allow citizens and organisations to share more data, while guaranteeing data protection compliance, thus enabling both trust and the creation of valuable new insights from shared data. Our vision will be realised and validated via real world use cases that - in order to be viable - need to overcome current challenges concerning the processing and sharing of data in a privacy preserving manner. In order to realise this vision, SPECIAL will combine and significantly extend big data architectures to handle Linked Data, harness them with sticky policies as well as scalable queryable encryption, and develop advanced user interaction and control features: SPECIAL will build on top of the Big Data Europe and PrimeLife Projects, exploit their results, and further advance the state of the art of privacy enhancing technologies. More... [46]