People traverse life in different ways, impacted by an interconnected array of biological, psychological, social, and ecological factors. How can we study and understand the complexity of human life? The rise of big data provides insights about human emotions, thoughts, and behaviours, at a scale and speed atypical of psychological research, but provide little explanation of psychosocial mechanisms and moderators. Longitudinal studies provide rich insights into individual trajectories, but are less generalisable across other populations. The complexity of human experience requires a diversity of methodologies, which the combination of the computational and psychological sciences now makes possible. This talk will illustrate some of the fascinating insights that arise from different approaches. Together, the combination of methodologies offers exciting opportunities for understanding and impacting upon the complexity of human life, both individually and collectively.