How to approach accessibility in academic data science | Academic Data Science Alliance

"Accessibility is about designing with usability for all people in mind. When we think about accessibility in data science most data scientists are familiar with using color-blind friendly colors in their data visualizations, but for many, thinking of examples and discussion beyond this is hard. We as data scientists need to design for more diverse populations to make a real impact on the world.  This post goes a bit deeper into understanding how data science can be more accessible to a broader audience, especially those with disabilities, based on a discussion which occurred this year at The Best Practices of Data Science Working Group at Berkeley Institute for Data Science (BIDS) guided by Accessibility and Data Experience Engineer Frank Elavsky...."