Part of the “big-data struggle” is to have more computer scientists interacting with social scientists:

The emerging problems highlight another challenge: bridging the “Grand Canyon,” as Mr. Lazer calls it, between “social scientists who aren’t computationally talented and computer scientists who aren’t social-scientifically talented.” As universities are set up now, he says, “it would be very weird” for a computer scientist to teach courses to social-science doctoral students, or for a social scientist to teach research methods to information-science students. Both, he says, should be happening.

Both groups could learn quite a bit from each other. Arguably, programming skills would be very useful in a lot of disciplines in a world gaga over technology, apps, and big data. Arguably, more rigorous methodologies to find and interpret patterns are needed across a wide range of disciplines interested in human behavior and social interaction. Somebody has to be doing this already, perhaps even within individuals who have training to both areas. But, joining the two academic bodies together on a more formal and institutionalized basis could take quite a bit of work.