Artificial Intelligence (AI) is increasingly used in research, yet we know little about how to integrate it effectively and transparently into social science experiments. Using one of my working papers as an illustrative example, I discuss how AI can streamline and advance the methodological aspects of experimental research in three ways. First, I explain how researchers can design simulation-based power analyses that account for parameters and assumptions often overlooked by baseline tools such as G*Power.
Universities and Trump: Lessons Attacking the Wrong Problems for the Wrong Reasons...
Nearly everything the Trump administration has brought to universities has been destructive, including policies that turn away the world's scientific talent from U.S.