Just over a decade ago, I left one Ph.D. program to join another. I was working on a lot of traditional questions in Psychology, and approaching them in relatively traditional ways — nothing about it was especially satisfying to me. Well, okay, nothing about it was satisfying at all. But that’s another story. So, I found myself jumping ship, heading down to Texas to pick up a Psychology Ph.D. while working with someone who was, at the time — and, frankly, still is — one of my heroes, both intellectually and personally: Jamie Pennebaker.
I arrived with a solid foundation in traditional psychology — inferential statistics, study design, all the standard tools of the trade. But, very quickly, I realized that those things weren’t as crucial as I thought they would be. Jamie told me to go talk to some folks over in the computer science department and get trained in machine learning. I was deeply hesitant about whether I would be able to actually learn something that sounded so completely alien and complicated. So, I told him point-blank, something along the lines of “I don’t even know what machine learning is.” His response was refreshingly blunt — with a characteristic Jamie smirk, he shrugged and said “Me neither. But you probably should.” And just like that, I found myself plunging into a whole new world.
Continue reading “On Being Interdisciplinary”