Builds a novel dataset combining full Danish population registry data (1980-present) with large-scale social network data (online social networks, mobile payment transactions, telecommunication records) to study how an individual's social network position contributes to life outcomes such as wealth, education, crime, and employment trajectories at a population scale.
Related papers: Unveiling the Social Fabric Through a Temporal, Nation-Scale Social Network and its Characteristics·Fairness Over Time: A Nationwide Study of Evolving Bias in Dropout Prediction·Trading off performance and human oversight in algorithmic policy: evidence from Danish college admissions·Engineering Social Networks: How Initial Group Assignment Shapes Student Social Interactions·The Origins of Large-Scale Structure in Family Networks·Statistical inference in social networks: how sampling bias and uncertainty shape decisions·Comparing AI-led to Human-led Chat-based Interviews: Motivations, Initial Results, and Challenges·Reducing annotator bias by belief elicitation·Attendance Boundary Policies and the Limits to Combating School Segregation