The EU based industry for non-leisure games (applied games) is an emerging business. As such, it´s still fragmented and needs critical mass to compete globally. Nevertheless its growth potential is widely recognised and even suggested to exceed the growth potential of the leisure games market. RAGE will help to seize these opportunities by making available 1) an interoperable set of advanced technology assets tuned to applied gaming 2) proven practices of using asset-based applied games in various real-world contexts, 3) centralised access to a wide range of applied gaming software modules, services and resources, 4) an online social space (the RAGE Ecosystem) that arranges and facilitates collaboration that underlie progress and innovation, 5) workshops and online training opportunities for both developers and educators, 6) assets-based business cases that support the games industry at seizing new business opportunities, and 7) a business model and launch plan for exploiting the RAGE Ecosystem beyond the project´s duration. Intermediary organisations and education providers anticipate a wider exploitation of RAGE results among their end-users, which add up to over 1 million, and through disseminating RAGE in their partner networks. The game companies in RAGE anticipate adding RAGE-based products to their portfolio, in order to improve their competitive advantage by opening a new product line for applied games and developing new revenue streams. Actual deployment of RAGE results will generate direct impact on the competitive positioning of the few thousand of European SMEs in the Applied Games market. Impacts from RAGE will be visible in terms of fulfilling new client needs by quicker and more challenging methods of skills acquisition, enabling new business models based on the usage of the assets repository and the Ecosystem, and in the strengthening collaboration across the entire Applied Games value chain.

The STOP project will bring together an interdisciplinary and intersectoral group of subject matter experts from industry and academia under one umbrella, to address the health societal challenge of obesity with the specific objectives of mitigating the enormous and growing Health Care costs of obesity and related health issues (like heart disease, diabetes, arthritis, liver disease, gallstones, cancer, dementia) that burden European citizens. The STOP project will address this need through the foundation of an innovative platform to support persons with obesity with a better nutrition under supervision of healthcare professionals. Therefore, the STOP platform will capture various PwO data from different kind of smart sensor streams and chatbot technology, manage and enrich available data with existing knowledge bases and fuse these by machine learned driven data fusion approaches for sophisticated AI data analysis. Essentially, this gathered and analysed data and knowledge is accessible and usable for Health Care professionals amongst others as input for a gamification approach to teach PwO healthier nutrition. In the STOP validation an app that establishes an analogy to Dorian Gray mirror, teaching healthier nutrition.

GenDAI will leverage metagenomic potential to deliver powerful diagnostic results facilitating the development of Personalized Medicine, addressing assay research and development as well as productive clinical diagnostics in a comprehensive way by creating a highly innovative medical diagnostics platform that supports microbiome profiling with novel biomarkers using Artificial Intelligence (AI). This innovative platform will allow clinicians to assess and monitor patients while complying with strict regulatory requirements of laboratory diagnostics. Ultimately, GenDAI will contribute to accelerate conversion of innovative ideas and technology solutions into breakthroughs in medical analyses services. Delivery of GenDAI tangible outputs will be driven by the following Research and Innovation Objectives: a) Create new metagenomic datasets containing microbiome samples from stool of patients under informed consent suffering from inflammatory bowel disease (IBD); b) Develop and integrate the GenDAI Diagnostics Workflow, focusing on implementing a fully automated data processing pipeline; c);Provide a robust, cloud-based foundation for the development of the platform that integrates advanced data management and knowledge infrastructure focusing on security, reproducibility and long-term archiving (GenDAI Safe); d) Develop and improve AI methods to identify relevant biomarkers and classify corresponding metagenomic sequences in order to characterise microbiome profiles to provide a personalised diagnostic result of patients’ state of health (GenDAI Discovery); e) Deliver innovative visual user interfaces and interactive clinical reporting (GenDAI Interactive Reporting) and f) Deliver the marketable, regulatory compliant GenDAI technology and tool suite.