Chancellor builds and critically evaluates human-centered artificial intelligence (AI) for high-risk health behaviors in online communities. Using machine learning, she uses digital trace data from millions of interactions on social media to identify high-risk behaviors. At the same time, she critically evaluates these predictive approaches and develops more ethical and compassionate research practices for computer science. She is especially interested in dangerous behaviors like pro-eating disorder, opioid use disorder and recovery, and suicidal ideation and crisis.

Research Division
Human-Centered Computing

Current Research
Google Scholar
GroupLens Research Lab

Visit Stevie Chancellor's Experts@Minnesota profile page

Education

Ph.D. in Human-Centered Computing, Georgia Institute of Technology (2019)
M.A. in Communication, Culture and Technology, Georgetown University (2014)
B.A. in Media Studies, University of Virginia (2012)

Professional Background

Stevie Chancellor joined the Department of Computer Science & Engineering in 2021 as an assistant professor. She received her M.A. (2014) in communication, culture and technology from Georgetown University and her Ph.D. (2019) in human-centered computing from the Georgia Institute of Technology. Chancellor received Best Paper Honorable Mentions in 2016, 2018, 2019, and 2022 for her publications. Prior to her time at the University, she was a postdoctoral researcher at Northwestern University from 2019-21.

Recent News

CS&E in the News - Chancellor Shares Thoughts on the Reddit Blackout
CS&E’s Stevie Chancellor and Ashlee Milton Lead First-of-its-kind TikTok Study
Stevie Chancellor Earns Amazon Grant for Machine Learning and Mental Health Project
Chancellor and Terveen Partner with Cisco to Fight Online Conferencing Bias
Chancellor contributes to Reddit study
GroupLens research shines at CSCW 2021
Tune in: Radical AI podcast with CS&E's Stevie Chancellor
Chancellor gives keynote at MAISoN 2021 workshop
Stevie Chancellor interviewed on TWIML AI Podcast
New research introduces the concept of ‘data leverage’
New professor brings focus on human-centered machine learning

Teaching Subjects

• Human-Computer Interaction
• Human-Centered Machine Learning
• Social Computing

Honors and Awards

Selected Grants
Safe and Compassionate ML Recommendations for People with Mental Illnesses
Chancellor, S., Terveen, L.; Northwestern Center for Assessing the Safety of Machine Intelligence, 2023-2024

Beyond the Individual: Community-Engaged Design and Implementation of a Framework for Ethical OnlineCommunities Research
Yarosh, L., Chancellor, S., Konstan, J. A., Lu, K. & Terveen, L. G.; National Science Foundation; 1/1/23 - 12/31/25

Detecting and Reducing Bias in Collaborative Virtual Meetings
Chancellor, S. & Terveen, L. G.; CISCO SYSTEMS; INC, 7/1/21 - 5/31/23