Alexandra Paxton BITSS CatalystCognitive Science
Alexandra Paxton is a postdoctoral scholar working with Tom Griffiths in the Institute of Cognitive and Brain Sciences and a Moore-Sloan Data Science Fellow at the Berkeley Institute of Data Science, both at the University of California, Berkeley. In August 2018, she will join the Department of Psychological Sciences at the University of Connecticut as an assistant professor.
Her research program conceptualizes human social interaction as a dynamical system, exploring how interacting individuals change one another’s choices, language, emotion, and movement in large and small ways. To do so, she takes a data-rich approach to quantifying interaction and incorporates data from lab experiments and naturally occurring data (like Twitter or video game logs). She is also actively involved in helping cognitive scientists embrace large-scale data, open science, and reproducibility through her work at Data on the Mind.