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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Opinion Market Model: Stemming Far-Right Opinion Spread using Positive Interventions

We introduce the Opinion Market Model (OMM) as a testbed to measure the impact of positive interventions on online opinion dynamics.

Detecting extreme ideologies in shifting landscapes

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.

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.