Behavioral Science, Computer Science, Healthcare Research, Social Science
Artificial Intelligence, Causal Inference, Data Mining, Machine Learning, Natural Language Processing, Statistics

Justine Zhang

Assistant Professor

School of Information

Assistant Professor of Information, School of Information

I develop computational methods to study conversations. I am interested in study how conversationalists use language to do things with and to each other, and how they navigate often-challenging interactions. I’m particularly interested in settings where people have conversations on behalf of institutions, and in analyzing conversations as a window into how these institutions work in practice. Drawing on techniques from natural language processing, computational social science, and causal inference, I examine large datasets containing conversation transcripts. Past and present work has considered settings such as political discourse, mental health counseling, and law enforcement.

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