The first Conference on the Psychology of Technology was held at the University of Southern California in Los Angeles on October 21st and 22nd, 2016. The majority of the conference took place at the Davidson Conference Center and attendees took a day trop to USC's Institute for Creative Technologies. This gathering was sponsored by the USC Marshall School of Business, with assistance from the UC Berkeley Center for Cybersecurity and USC’s Institute for Creative Technologies.
The inaugural conference was held primarily at the Davidson Conference Center at the University of Southern California.
Special Acknowledgments: The organizers wish to acknowledge the following people, without whom this conference would not have been possible: Chloe Autio, Connor Cook, Tom Cummings, Marie Dolittle, Magi Gordon, Gareth James, Jennifer Lim, Martha Maimone, Queenie Taylor, Brittany Torrez, and Mindy Truong.
Nathanael Fast, University of Southern California
Nathanael Fast received his Ph.D. in Organizational Behavior from Stanford University and is an Associate Professor of Management and Organization at the University of Southern California’s Marshall School of Business. He is interested in the tools people use to lead, organize, and influence others. His primary lines of research examine the psychological determinants and consequences of organizational hierarchies, social networks, and the adoption of new and emerging technologies.
Juliana Schroeder, University of California, Berkeley
Juliana Schroeder is an Assistant Professor of Management of Organizations at UC Berkeley’s Haas School of Business. She holds a Ph.D. in Psychology and Business from the University of Chicago, M.A.s in social psychology and advanced methods from the University of Chicago, and an M.B.A. from The Chicago Booth School of Business. Juliana is an experimentalist who studies mind perception: how people make judgments about others’ mental capacities and mental states. She is particularly interested in the effect of social media on mind perception, and in understanding predictors of dehumanization and anthropomorphism.