We have a focus on the metrics and models used across health and social data science. We’re specifically interested – but not exclusively – in predictive methods (i.e., machine/deep learning, LLMs), because this is where most of the organiser’s shared interests overlap. However, we are broadly interested in all computational tools and techniques, including but not limited to the mathematical philosophy underpinning prediction, and efforts to make research more reproducible in general.