Causal Inference over Stochastic Networks

Claiming causal inferences in network settings necessitates careful consideration of the often complex dependency between outcomes for actors. Of particular importance are treatment spillover or outcome interference effects. We consider causal …

Some New Models for Social Networks

This is the Keynote Address at the Australian Social Network Analysis Conference 2023. In it I discuss classes of exponential-family models that extend the range and realism of traditional classes.

Introduction to Computational Social Science

In this talk we start with the question: Why Computational Social Science? Traditionally, science has followed the mode of theory and experiment. The approach in a computational science is to gain insight via the analysis of mathematical models …