Daniel Lobo on "Why Black Representation in Data Science Training Matters"

PhD student Daniel Lobo has published a Sage MethodsSpace blog post on "Why Black Representation in Data Science Training Mattershttps://www.methodspace.com/blog/sicss-howardmathematica-2022-participant-talks-about-why-black-representation-in-data-science-training-matters."

"To know that there are Black researchers and professionals interrogating big data collection methods, working to minimize algorithmic bias, and ensuring that the metaverse does not simply reproduce the racial inequality of our physical world is to know that I, too, can do such work. We should not underestimate the power of Black role models, in computational social science or otherwise. Instead, we should appreciate what it means to learn data science in a Black-centered environment as a Black scholar. " [read more]