Catherine D’ignazio is an Assistant Professor and Director of the Data + Feminism Lab at the MIT. She is also an artist and software developer who focuses on feminism and data literacy.  Catherine has also co-authored a super interesting and eye-opening book, Data Feminism, about what I call the female data gap.   I fo

How can data be biased? Isn’t it supposed to be an objective reflection of the real world? We all know that these are somewhat naive rhetorical questions, since data can easily inherit bias from the people who collect and analyze it, just as an algorithm can make biased suggestions if it’s trained on biased datasets. A

Cohost Erica Chidi is joined by the coauthors of Data Feminism: Catherine D’Ignazio (an assistant professor of urban science and planning at MIT) and Lauren F. Klein (an associate professor of English and quantitative theory and methods at Emory University). They explore the limits and uses of data, how data can reinfo

The increased datafication our interactions and permeation of data science into more aspects of our lives requires analysis of the systems of power surrounding and undergirding data. The impacts of the creation, use, collection, and aggregation of data are such that individuals from various communities face disparate,