This Reddit post uses data analysis techniques to distinguish between cookies, pastries, and pizzas in order to win an office party argument. And there’s data too — “1931 recipes from the Food Network that contain the keywords cookies (my group of interest), pastry, or pizza (two control groups).”
As things continue to deteriorate here in Louisiana, and it becomes increasingly obvious that what our administration wants from faculty, especially humanities faculty, is for us to become teaching bots, I find myself more and more interested in non-academic alternatives. And, the fact is that I really enjoy my current work on the small end of the big data revolution, or however it’s termed these days.
Mostly, it seems increasingly to be termed *data science*, but what people mean by that can vary. As I try to understand this emergent field, both from the removed position of a humanist just trying to track how ideas and practices play out in history as well as a humanist who maybe wants to play on those fields himself, I find myself looking at various data science programs. UC Berkeley’s School of Information offers a more traditional program, but there is also [Zipfian Academy](http://www.zipfianacademy.com/). They offer 12-week intensive programs and the possibility of some tuition relief. (And that sounds pretty good to a poor Southern humanist, or is a Southern humanist poor by definition?)