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.
Last November 2022, we presented to the Defence Human Sciences Symposium 2022 our novel ideology detection pipeline. In this post, we explain the technology and the big takeaways.
LinkedIn's most recent experiment shows a causal relation between weak link formation and job mobility.
ICWSM 2022 paper: “Slipping to the Extreme: A Mixed-Method to Explain How Extreme Opinions Infiltrate Online Discussions”