Work within the AI, Machine Learning and Statistics cluster focuses on developing computational and methodological approaches to tackling big, and otherwise complex, datasets. At times, one finds that there is no pre-existing approach for the analysis of a given big or complex data set and so there is the need to develop new methodology. In addition, we commonly seek computational efficiency via, possibly simpler, algorithm formulations that are efficient and scalable for a well-defined class of instances.