UVA Data Points

Rafael Alvarado and Allison Bigelow discuss the Multepal project, which focuses on decolonization and the digital humanities through encoding the Popol Vuh, the Mayan book of creation, and other indigenous texts. Their research connects the humanities to data science by framing digitization and data design as interpretive acts that can have far reaching consequences for our understanding of history and society.   Multepal Links: Digital Edition of the Popol Vuh: https://multepal.github...

This bonus episode features Matthew Thomas, a data scientist at Inclusively and a graduate of the UVA M.S. in Data Science program. He talks about how Inclusively works to create and maintain a job board designed specifically for job seekers with disabilities. Matthew explains how typical job boards come with many built-in biases that can screen out qualified individuals without them even knowing...

UVA Data Points sits down with Cathy O'Neil, author of Weapons of Math Destruction, and Brian Wright, Assistant Professor of Data Science at the University of Virginia. The candid dialogue ranges from O'Neil's new book The Shame Machine to her work as an algorithm audit consultant. The two also draw comparisons between data science problems and knitting, as well as discuss educating future data scientists. Links: https://mathbabe.org (Cathy O'Neil's website)  https://datascience.virginia...

Before diving into the complex world of data science it seemed to wise to establish a shared definition of the field. Here at the UVA School of Data Science, we have defined data science with the 4 + 1 Model. This model serves an outline for the first series of UVA Data Points. It also serves as a guiding definition within the School of Data Science, touching everything from research to course planning...