The Behavioral Data Science lab is a research group in the UTS Data Science Institute at the University of Technology Sydney, Australia.
Our research aims to make sense of large amounts of behavioral data, to understand online behavior and its offline effects. We develop core methods in machine learning and optimization in order to distill heaps of raw data into meaningful insights in areas including
Two 1-Year Postdoc and multiple funded PhD positions available in detecting and modelling mis-/dis-information spread. If you are interested in working with us, please get in touch.
LinkedIn's most recent experiment shows a causal relation between weak link formation and job mobility.
SAGE Research Methods produced a full-length interview on our interdisciplinary approach on fighting online problematic speech.
ICWSM 2022 paper: “Slipping to the Extreme: A Mixed-Method to Explain How Extreme Opinions Infiltrate Online Discussions”