CYBELE generates innovation and create value in the domain of agri-food, and its verticals in the sub-domains of PA and PLF in specific, as demonstrated by the real-life industrial cases to be supported, empowering capacity building within the industrial and research community. Since agriculture is a high volume business with low operational efficiency, CYBELE aspires at demonstrating how the convergence of HPC, Big Data, Cloud Computing and the IoT can revolutionize farming, reduce scarcity and increase food supply, bringing social, economic, and environmental benefits. CYBELE intends to safeguard that stakeholders have integrated, unmediated access to a vast amount of large scale datasets of diverse types from a variety of sources, and they are capable of generating value and extracting insights, by providing secure and unmediated access to large-scale HPC infrastructures supporting data discovery, processing, combination and visualization services, solving challenges modelled as mathematical algorithms requiring high computing power. CYBELE develops large scale HPC-enabled test beds and delivers a distributed big data management architecture and a data management strategy providing 1) integrated, unmediated access to large scale datasets of diverse types from a multitude of distributed data sources, 2) a data and service driven virtual HPC-enabled environment supporting the execution of multi-parametric agri-food related impact model experiments, optimizing the features of processing large scale datasets and 3) a bouquet of domain specific and generic services on top of the virtual research environment facilitating the elicitation of knowledge from big agri-food related data, addressing the issue of increasing responsiveness and empowering automation-assisted decision making, empowering the stakeholders to use resources in a more environmentally responsible manner, improve sourcing decisions, and implement circular-economy solutions in the food chain.

The TEFSI project supported cooperation between 9 European universities to develop, implement and widely disseminate innovative teaching approaches, materials, methods and tools, and thus to increase university teachers’competences and innovation, and to improve the quality and effectiveness of university teaching. Usage of innovative teaching methods in TEFSI was illustrated for the subjects covering various aspects of sustainable food systems, in order to increase teachers awareness about the importance of including sustainability issues into their everyday lecturing, and therefore could be seen as a step of food science, human nutrition, agriculture, and related life science education towards sustainability. The project began with an in-depth analysis of the level of inclusion of food system sustainability issues in higher education by European University lecturers, the lecturing tools being used and perspectives for innovation in this area, followed by the development of quality training materials on the innovative teaching tools & concepts (presentations, handbook, short video lectures) and by sharing them during 5 international staff training events, implementing them in everyday teaching activities at participating universities, and finally disseminating during project Multiplier Events and other dissemination activities. Transnationality of the project allowed the biggest strengths of teaching approaches and strategies of all participating Universities to be extracted, analysed & put together in the project activities and outputs.

The stated goal of RHAPSODY is to define a molecular taxonomy of type 2 diabetes mellitus (T2D) that will support patient segmentation, inform clinical trial design, and the establishment of regulatory paths for the adoption of novel strategies for diabetes prevention and treatment. To address these goals, RHAPSODY will bring together prominent European experts, including the leaders of the diabetes-relevant IMI1 projects to identify, validate and characterize causal biomarkers for T2D subtypes and progression. Our plans are built upon: (a) access to large European cohorts with comprehensive genetic analyses and rich longitudinal clinical and biochemical data and samples; (b) detailed multi-omic maps of key T2D-relevant tissues and organs; (c) large expertise in the development and use of novel genetic, epigenetic, biochemical and physiological experimental approaches; (d) the ability to combine existing and novel data sets through effective data federation and use of these datasets in systems biology approaches towards precision medicine; and (e) expertise in regulatory approval, health economics and patient engagement. These activities will lead to the discovery of novel biomarkers for improved T2D taxonomy, to support development of pharmaceutical activities, and for use in precision medicine to improve health in Europe and worldwide.

The overarching goal of MUMMERING is to create a research tool that encompasses the wealth of new 3D imaging mo-dalities that are surging forward for applications in materials engineering, and to create a doctoral programme that trains 15 early stage researchers (ESRs) in this tool. This is urgently needed to prevent that massive amounts of valuable tomogra-phy data ends on a virtual scrapheap. The challenge of handling and analysing terabytes of 3D data is already limiting the level of scientific insight that is extracted from many data sets. With faster acquisition times and multidimensional modali-ties, these challenges will soon scale to the petabyte regime. To meet this challenge, we will create an open access, open source platform that transparently and efficiently handles the complete workflow from data acquisition, over reconstruction and segmentation to physical modelling, including temporal models, i.e. 3D “movies”. We consider it essential to reach this final step without compromising scientific standards if 3D imaging is to become a pervasive research tool in the visions for Industry 4.0. The 15 ESRs will be enrolled in an intensive network-wide doctoral training programme that covers all aspects of 3D imag-ing and will benefit from a varied track of intersectoral secondments that will challenge and broaden their scope and ap-proach to research. The ESRs will exit the MUMMERING network as highly attractive and employable PhDs with a practical and qualified take on industrial research.

PHERECLOS builds upon the theory of science capital and the experience that Children’s Universities (CUs) have made in the Third Mission of universities. With their engagement with children and young people, they became intermediaries between various actors in the educational and social landscape. As translators of the concerns, messages and knowledge of other parties (incl. business and industry, the state, civic society organizations etc.) they help to dismantle institutional boundaries of universities towards a wider society. The project will establish 6 "Local Education Clusters" (LECs), which bring together schools and further relevant actors in the education ecosystem of a particular pilot region, supported by a peer mentoring programme. The LECs will be incubators for enabling a dialogue between various parties and help to set up joint activities in (formal and non-formal) education, which help to develop collaborative learning environments as experimental testbeds for schools. At the same time they impact on the quality of science engagement opportunities in these areas. PHERECLOS will implement a digital “OpenBadge” ecosystem which labels institutions as reliable and responsive actors and showcases all LEC parties to become real change agents in education. At the same time, this ecosystem will testify individual achievements with respect to STEAM engagement in formal or non-formal settings or even unintended learning outcomes. The regional effectiveness and impact will be monitored by academic transfer and implementation research and lead to the development of implementation guidelines and policy briefs to enhance the sustainability of the overall approach. PHERECLOS promotes the territorial dimension of local education clusters in all their manifold facets and their catalyzing role relating to access to STEAM and higher education, critical thinking and informed decision making in a wider societal context – including competitiveness and sustainable growth.