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

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Recent Posts

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Acquaintances beat close friends for job connections, huge LinkedIn study shows

LinkedIn's most recent experiment shows a causal relation between weak link formation and job mobility.

Doing research online (by SAGE Research Methods): A Mixed-Method to Explain How Extreme Opinions Infiltrate Online Discussions

SAGE Research Methods produced a full-length interview on our interdisciplinary approach on fighting online problematic speech.

Slipping to the Extreme: A Mixed-Method to Explain How Extreme Opinions Infiltrate Online Discussions

ICWSM 2022 paper: “Slipping to the Extreme: A Mixed-Method to Explain How Extreme Opinions Infiltrate Online Discussions”