I was reminded by that bizarre NYT opinion piece that interdiscplarity is all the rage, but people rarely talk about intradisciplinarity. How big is the discrepancy? Well, Google had about 27,500 documents for me when I search intradisciplinary, and over 17,000,000 for interdisciplinary -- over 600:1. (Naturally, Google suggested that I meant interdisciplinary when I searched for intradisciplinary.) On Google Scholar, it's still over 100:1; 4,050 to 697,000.
I'm a big fan of intradisciplinary work. I enjoy working with computer scientists (and EE people, who I'll add in the mix, as we're often working on the same problems) in a range of areas on different types of problems. I've designed my graduate class in networking algorithms to bring together systems and theory, with papers from both sides of the aisle represented. I find one of the benefits of being in a smaller department at Harvard is that it promotes intradisciplinary work, because you talk to a more varied mix of people.
I wish there was more attention given to intradisciplinary work, because from my standpoint, it's important and useful. It's great when computer science can influence the direction of biology, economics, and physics; but I think we also get amazing payoffs when networking people and theory people and machine learning people and architecture people work together too. While it does happen, and non-trivially frequently, thank goodness, on the whole I think the community could do a bit more to promote that kind of work.