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A Conversation with Virginia Eubanks
FromUVA Data Points
ratings:
Length:
71 minutes
Released:
Feb 1, 2023
Format:
Podcast episode
Description
This episode features a conversation between Lane Rasberry, the Wikimedia-in-Residence at the UVA School of Data Science, and Virginia Eubanks, an author, journalist, and associate professor of political science at the University of Albany, SUNY.
This conversation was recorded back in 2019, but it is still very relevant to our current moment. In many ways it is a discussion that looks towards the future, warning of the unintended, or at times intended, consequences of emerging technologies. The discussion largely focuses on the effects of algorithmic automation, as well as the practice, policies, and implementation of these algorithms. And, while the conversation lobs some heavy critiques at the tech world, it also provides many reasons for optimism. It’s a fascinating and multifaceted discussion.
Virginia Eubanks is the author the 2018 book Automating Inequality, which is a detailed investigation into data-based discrimination. She is also the author of Digital Dead End: Fighting for Social Justice in the Information Age and the co-editor, with Alethia Jones, of Ain’t Gonna Let Nobody Turn Me Around: Forty Years of Movement Building with Barbara Smith. She also writes for various outlets, including the Guardian, American Scientist, and the New York Times. Recently, Virginia began the PTSD Bookclub, an ongoing project that explores books about trauma and its aftermath. You can find this project and Virginia Eubank’s other projects at virginia-eubanks.com.
This conversation was recorded back in 2019, but it is still very relevant to our current moment. In many ways it is a discussion that looks towards the future, warning of the unintended, or at times intended, consequences of emerging technologies. The discussion largely focuses on the effects of algorithmic automation, as well as the practice, policies, and implementation of these algorithms. And, while the conversation lobs some heavy critiques at the tech world, it also provides many reasons for optimism. It’s a fascinating and multifaceted discussion.
Virginia Eubanks is the author the 2018 book Automating Inequality, which is a detailed investigation into data-based discrimination. She is also the author of Digital Dead End: Fighting for Social Justice in the Information Age and the co-editor, with Alethia Jones, of Ain’t Gonna Let Nobody Turn Me Around: Forty Years of Movement Building with Barbara Smith. She also writes for various outlets, including the Guardian, American Scientist, and the New York Times. Recently, Virginia began the PTSD Bookclub, an ongoing project that explores books about trauma and its aftermath. You can find this project and Virginia Eubank’s other projects at virginia-eubanks.com.
Released:
Feb 1, 2023
Format:
Podcast episode
Titles in the series (24)
4 + 1 Model of Data Science: 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. In this introduction trailer, host Monica Manney discusses the history, development, and function of the 4 + 1 Model of Data Science with its main author, Raf Alvarado. Below is a brief expect from An Outline of the 4 + 1 Model of Data Science by Raf Alvarado: “The point of the 4 + 1 model, abstract as it is, is to provide a practical template for strategically planning the various elements of a school of data science. To serve as an effective template, a model must be general. But generality if often purchased at the cost of intuitive understanding. The fol by UVA Data Points