People in partnerships are more similar to one another than random pairs. However, it is currently unclear what causes this similarity: mate choice, confounding, indirect assortment? Does similarity change with time? In this work, we use ~52000 couples from the UK Biobank to answer these questions.

Social tipping interventions offer an indirect way to trigger change at scale, ranging from social justice to climate change. Yet, what happens when social tipping interventions meet ordinary but ingrained group identities? To examine this, we implemented an experiment around the 2020 US election.

Our recent paper In Nature Human Behavior (https://www.nature.com/articles/s41562-022-01372-0) presents a new learning framework to precisely forecast crime in the urban environment, and simultaneously demonstrates how such precise predictors may be used to reveal signatures of enforcement biases.