Embeddings of Nation-Level Social Networks
For nation-scale networks, we present a layer-sensitive random walk, temporal alignment and partitioning techniques and evaluate them on 13 downstream tasks.
Population-Scale Network Embeddings Expose Educational Divides in Network Structure Related to Right-Wing Populist Voting
We create network embeddings of the Dutch population, use them to predict voting behavior, and explore interpretability techniques for network embeddings.
Networks in the market for researchers
We study the role of collaboration networks for placing PhD students in the U.S. We observe a sizable citation premium for graduates placed through the advisor’s network. However, when comparing graduates hired at the same university, the productivity premium is fully explained by public information on the productivity at the time of graduation.
Empirical Privacy Evaluations of Generative and Predictive Machine Learning Models -- A review and challenges for practice
We review the empirical testing of privacy in machine learning. We discuss whether and how these tests could be used when evaluating generative algorithms for deployment at statistical agencies and in the health care system.
The Equilibrium Effects of Workers’ Outside Employment Options: Evidence from a Labour Market Integration
We study a reform that eased cross-border commuting from France to the high-wage Swiss labor market. The results show that if labour supply is elastic enough, the local labour market can expand and absorb additional competition for workers.