VesselAI comprises a consortium of renowned actors in maritime and ICT domains, providing a perfect mix of high-level expertise in both domains and readily accessibility to huge volumes of data to industry-leading research and innovation in the project. The expected outcome from the project will be a unique maritime Big Data framework for processing extreme volumes of data from different sensors, ship systems, weather services, AIS data, cameras, radars, and other relevant data needed for the pilots and established digital twins that will be integrated into maritime applications. End users are fleet operators, port and coastal authorities, autonomous vessel operators and policy and decision makers.

TAPAS will make use of eXplainable Artificial Intelligence (XAI) techniques, together with Visual Analytics, which will help to explore trade-offs between efficiency of AI implementations and the suitability for deployment in certain applications in terms of explainability. Not all use cases present similar requirements: an Air Traffic Controller will need a deeper understanding in the solutions provided by an AI-based functionality than an operator in a non safety-critical scenario. Not everything needs to be explained in all situations – this is the balance to be explored in TAPAS research.

CHOROLOGOS is a research project that is funded by the Hellenic Foundation for Research and Innovation (HFRI) and the General Secretariat for Research and Technology (GSRT), under grant agreement No [HFRI-FM17-81]. The instrument aims to support research of Academic Staff and Researchers, and the principal investigator of CHOROLOGOS is Christos Doulkeridis. The project is hosted at the Department of Digital Systems in the University of Piraeus.

CYBELE: Fostering Precision Agriculture and Livestock Farming through Secure Access to Large-Scale HPC-Enabled Virtual Industrial Experimentation Environment Empowering Scalable Big Data Analytics

The goal of the AMINESS project is to promote shipping safety in the Aegean Sea through a web portal offering different levels of access to relevant stakeholders such as ship owners, policy makers, the scientific community and the general public.

datAcron addresses core challenges related to the European Big Data Vision towards increasing our abilities to acquire, integrate, process, analyse and visualize data-in-motion and data-at-rest in integrated manners.