Behavioral Data Science lab

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

social and information network analysis,
information diffusion across social networks,
mis- and dis-information spreading,
tomorrow's labour markets and labour transitions,
machine learning,
computational social science,
data mining, and
natural language processing

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.

Recent News

see news archive

Sep 2022
Andrei published a The Conversation piece on LinkedIn's experiment linking weak ties to labour modiblity, and gave radio interviews on Radio Adelaide and ABC Tasmania.
Jul 2022
Andrei was interviewed by SAGE Research Methods for the Doing Online Research case study collection. Check out the blogpost and video
Jul 2022
Join us in fighting online misinformation! We have multiple funded PhD positions available for (computational) social scientists, applied statisticians and machine learning & data scientists. Get in touch.
Jul 2022
Two 1-Year Postdoc available in detecting and modelling mis-/dis-information spread. If you are interested in working with us, please get in touch.
May 2022
Check-out the presentation video for our paper Slipping to the Extreme: A Mixed Method to Explain How Extreme Opinions Infiltrate Online Discussions, soon to be presented at ICWSM'22.