Dr Ashley Buchanan appeared as a guest on season 3 of the podcast Casual Inference. She discusses the importance of correctly estimating causal effects in dependent data structures, such as networks. Fun fact, this is how our Research Associate, Gabrielle Lemire, heard of the Avenir team!   

You can find the episode here, or take a listen below: