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.

• 2025-06-18 : 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.

• 2025-03-05 : Dr. Brown will be at NSBE Gold

  She will teach a full day Python training as well as host an AI Mythbusting Workshop

• 2024-10-30 : Funding from the Survival and Flourishing Fund

  We received funding from the SFF Fairness Track to fund work developing a benchmark for fair data-driven decision making with LLMs. We will develop a benchmark for both data analytics style decision-making and training fair models on data. Then we will assess state of the art AI systems engaging in these tasks across various levels of AI agency.

• 2024-10-08 : Dr. Brown is speaking in the Digital Defense Fund fall seminar series

  She is co-leading a session on AI basics titled, “Unmasking AI: the Mysteries and Magic of Artificial Intelligence”.

• 2024-08-23 : Dr. Brown is presenting at NSBE PDC

  NSBE’s Professional Development conference is a venue for working professionals to skill up. She is presenting the building a portfolio website workshop by invitation