We are in the midst of two revolutions in psychological methodology. Wearable technologies and the Internet of Things provide us with ways of quantifying the environments in which individuals operate, while social network data for the first time allows us to record the relationships and interactions between group members in situ. The Complex Human Data Hub aims to build a more comprehensive, ecologically valid and translationally relevant psychological science by drawing big data from wearable sensors, the internet of things, ecological momentary assessment and online social networks; building big models of psychological processes using advances in Bayesian techniques, machine learning and computational linguistics; and crossing different levels of analysis - from individuals to groups to populations.