ML4STS lab#
We study how to do Machine Learning for Socio-technical Systems. This means we apply data science using ML models to understand the world with other scientists, study and evaluate ML systems directly, and build tools to help data scientists to employ best practices. Most of our work right now focuses on fairness of automated decision making systems and some includes collaboration with other scientists.
News#
See the news page for a more complete list.
2025-09-10 : Surbhi Rathore achieved ABD (All-But-Dissertation) status in her PhD program.
Surbhi has successfully passed her dissertation proposal defense and achieved ABD (All-But-Dissertation) status in her PhD program.
2025-06-18 : ORCA-CAP Funding for Open Humanities
In Collaboration with Madison Jones and Jeremiah Dyehouse we recieved an award from the Open Research Community Accelerator Catalytic Awards Program to build a reusable open source curriculum and hold a workshop for humanties scholars on the basics of open source. Our goal is to help humanities scholars embrace digitial methods without being locked into expensive, corporate controlled platforms.
2025-06-09 : null
Document headings start at H2, not H1 [myst.header]
We’re excited to welcome our summer scholars who have joined the lab for the summer. They’ll be working on various projects related to machine learning for socio-technical systems.
2025-06-09 : NSF CAREER Award!
Dr. Brown recevied an NSF CAREER Award for her proposal titled, “CAREER: Realizing Sociotechnical Machine Learning through Modeling, Explanations, and Reflections.”
2025-03-05 : Dr. Brown will be at NSBE Gold
She will teach a full day Python training as well as host an AI Mythbusting Workshop