The march of science is stumbling and easily sidetracked, fraught with bias, fads and dead ends. A new research initiative based at the University of Chicago and the Computation Institute will use the latest computational tools to scrutinize this imperfect path and better understand how knowledge was and is created. Such understanding could transform the process of research, calling out past missteps while revealing unanticipated new directions for the future.