Applications:
Behavioral Science, Computer Science, Healthcare Research, Social Science
Methodologies:
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.

Accomplishments and Awards

Additional Information

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