阅读理解When I first heard about the improv(即兴表演) classes, I was torn. As an introvert, I feared getting on stage and improvising in front of strangers. However, I knew I wanted to work as a science communicator after finishing my Ph.D. , so it seemed like the perfect opportunity to improve my speaking ability and gain confidence thinking on my feet.
During our first class, we learned a core concept of improv: "yes, and." It means that, as improvisers, we accept what fellow performers say. If someone says that rhinos(犀牛) are librarians, for example, then rhinos are librarians. We do not question the logic; we say "yes" and continue with the scene as if no him is wrong.
I got a taste of how difficult that was when acting out my first scene. My classmate turned to me and said, "Mom is going to be so mad." Mad about what? My mind spun out ideas, and my inner critic shot them all down. We broke the car? No, that's too easy. We failed a test? No, you don't want your classmates thinking you're stupid on the first day. I finally landed on an answer: "Yes, we're going to be late for dinner." The scene proceeded from there, and we eventually finished as two sisters who lost their way on a hiking trail.
The first few scenes were hard, but as weeks turned into months, I became more comfortable thinking on my feet and even started to enjoy our classes. I never silenced my inner critic entirely, but over time, I didn't police my words with quite so much effort. I also became better at listening, relating to my conversation partners, and communicating clearly in the moment.
That training proved useful 6 months ago, when my experiments generated unreasonable data. Early on in graduate school, I would get stuck when this happened; my inner critic would assume I had made a mistake. But then, after embracing the "yes, and" concept, instead of getting discouraged, I kept exploring the data and ended up identifying a new type of cell—one that wasn't behaving as expected. If I hadn't accepted the possibility that the results were real, I would have missed out on the most exciting finding of my Ph.D. so far.
All scientists can benefit from this lesson. If the data say rhinos are librarians, then it's worth investigating whether rhinos are, in fact, librarians. Our job as scientists isn't to generate data that support a preconceived(预想的) story. Our job is to say "yes, and."