Dr. Nathan TeBlunthuis is a computational social scientist who studies organizing in digital environments including Wikipedia, Reddit, and platforms for collective action. He focuses on understanding how relationships among organizations shape each other's success in these contexts, drawing from organizational ecology, and on advancing methods for doing so. He works with large datasets of behavioral digital traces and uses computational methods such as natural language processing, machine learning, and causal inference from observational data. He earned his Ph.D. from the University of Washington Department of Communication in 2021 and is currently a Postdoctoral Research Fellow at the University of Michigan School of Information. His first-authored works have been published or are forthcoming in top venues in both computing and communication and have won top paper awards from the Computational Methods Division of the International Communication Association in the past three consecutive years.
Areas of interest
Computational Social Science; Collective Action; Online Communities; Social Computing; Commons-based Peer Production; Social Movement; Complex Systems;
PhD University of Washington