Geodata and AI is an international journal that is focused on the development of machine learning and artificial intelligence for scientific discovery in geo-disciplines (research) and creation of novel digital service over the life cycle of natural or engineered geo-systems (practice). Geo-disciplines include soil science, geotechnical engineering, rock engineering, earthquake engineering, geoenvironmental engineering, engineering geology, mining, geo-hazard, geophysics and others. Geodata can be broadly defined as data produced by the characterization of the constituent ground and observation of the processes emerging from these disciplines. The heterogeneous spatial/temporal features and complex sampling characteristics (multi-source, multi-modal, uncertain, sparse, incomplete, potentially corrupted) of geodata are common in these disciplines with potential for data fusion. They are pivotal to the training of machine learning and artificial intelligence that are transformative business drivers when combined with other digital technologies.