ML4STS lab

We study how ML works for science, technology, and society. This means we apply data science using ML models to understand the world with other scientists, study and evaluate those ML systems directly and build tools to help them intervene. Most of our work right now focuses on building more fair AI and some includes collaboration with other scientists.

News

See the news page for a more complete list.

• 2024-03-04 : Dr. Brown gave a keynote at Middlebury College Women in Data Science conference

  title Data Science Skills in Unexpected Places

  abstract Data science is a highly interdisciplinary pursuit, combining computer science and statistics with domain expertise to make sense of data. This means as data scientists we must work closely with domain experts or develop enough domain expertise of our own for each project. In this talk, I will share the story behind a few data science projects I have done: how high school social studies helped me develop a learning PTSD diagnosis, undergraduate advanced writing helps me measure understanding of fairness in AI, and how student leadership experiences help me design tools for data scientists to build better models.

• 2024-01-23 : Welcome to new undergraduates Lani, Noah, Trevor, and Rohan

  Lani will be working on understanding how problem formulation is/not described in current ML research.

  Trevor and Noah will be joining Brendan to work on internal tooling for the lab.

• 2024-01-18 : Dr Brown presented on What is AI at the Academic Summit for URI Faculty

• 2023-09-10 : Welcome to new Undergraduate Researchers Kyle and Brendan

  Kyle will be working on applying ML to Antimicrobial Peptide (AMP) design.

  Brendan will be working on softare improvements to internal tools used in the lab.

• 2023-09-06 : New PhD Student Puja Ghosh

  Welcome to new PhD student Puja Ghosh!