People are sharing more and more information about themselves and their lives with others, through an increasingly elaborate array of Internet applications and mobile technologies. Dr. Rader’s research focuses on understanding the effects and implications of feedback loops between human and algorithm behavior in socio-technical systems. A socio-technical system involves people, technology and information; these parts all interact and influence each other, and without all three parts, the system would not function as it should. Some keywords to describe her research interests are: algorithmic curation, personalization, automation, information privacy, feedback loops, sociotechnical systems, user-contributed content, human computer interaction.
Dr. Rader received her Ph.D. from the School of Information at the University of Michigan, and a Master’s in Human Computer Interaction from Carnegie Mellon University. She was a 2009-2010 recipient of the highly competitive Computing Innovation post-doctoral fellowship award from the Computing Research Association and the National Science Foundation. Before earning her Ph.D., she spent five years working with an interdisciplinary team of researchers at Motorola Labs, designing and evaluating next-generation applications for mobile technologies. Her work is funded by grants from the National Science Foundation and an endowment from AT&T.