Data is central to all endeavours today, dealing with its acquisition, storage, curation, retrieval, and processing. By utilising Artificial Intelligence, Machine Learning, and Statistics data becomes the basis for our modelling of and reasoning about the world and society, to also gain understanding. We pursue a rigorous processing of data and its contexts and implications, engaging with domain experts in government, business, and the health and social sciences to build models that turn data into information into knowledge to then support effective and confident economic and social decision making. Our research focus on the design and construction of robust processes and models leads to new algorithms, prototypes, and deployed systems across multiple domains to derive new meaningful insights while being sensitive to bias. Our broad teaching portfolio includes both micro and macro credentialing, balancing theoretical techniques with domain-relevant project-based learning, aimed at researchers, practitioners, and decision makers.