Jennifer (Jenn) Logg is Post-Doctoral Fellow at Harvard University. She received her Ph.D. from the Management of Organizations department at the University of California, Berkeley’s Haas School of Business. Prior to graduate school, Jenn worked at Columbia University as a Lab Manager and then Program Coordinator for CRED.
Her work examines why managers fail to view themselves and their work realistically. Her research focuses on how people can view themselves and the world more accurately by using advice and feedback produced by algorithms (scripts for mathematical calculations). She calls her primary line of research, Theory of Machine. In it, she use a psychological perspective to examine how people respond to the increasing prevalence of information produced by algorithms. Broadly, this work examines how people expect algorithmic and human judgement to differ.