Computing platforms shape our interactions with other people: how we collaborate, how we socialize, and even how we govern. By changing these computing platforms, we change human behavior: as Winston Churchill said, “We shape our buildings; thereafter they shape us.” How do we design these computing systems effectively and responsibly? My research in human-computer interaction advances systems, designs, and models for social computing systems. In doing so, I aim to shed light on long-standing research questions: How do we cross the gap between social scientific knowledge and concrete system designs that manifest this knowledge into pro-social interactions? How can we model human attitudes and behavior to help us craft technology and social policy? How should we design our computational tools if we want them to be successfully embedded into society?
Bio: Michael Bernstein is an Associate Professor of Computer Science at Stanford University, where he is a Bass University Fellow and Interim Director of the Symbolic Systems program. His research focuses on designing social, societal, and interactive technologies. This research has been reported in venues such as The New York Times, Wired, and TED AI. Michael has been recognized with an Alfred P. Sloan Fellowship, the UIST Lasting Impact Award, and the Computer History Museum's Patrick J. McGovern Tech for Humanity Prize. He holds a bachelor's degree in Symbolic Systems from Stanford University, as well as a master's degree and a Ph.D. in Computer Science from MIT.
Publications