From f5701134427764d5c5c7e74613919e0ae99fa185 Mon Sep 17 00:00:00 2001 From: andrei-rizoiu Date: Sun, 21 Jul 2024 12:42:46 +0000 Subject: [PATCH] Publishing Site www.behavioral-ds.science at 74b6cab45a346e91c87a149c9a28972a4f44bd8b on Sun Jul 21 12:42:46 UTC 2024 --- index.html | 2 +- news/index.html | 2 +- publication/publications.bib | 17 ++++++++++++++++- researchproject/project1/index.html | 2 +- 4 files changed, 19 insertions(+), 4 deletions(-) diff --git a/index.html b/index.html index 9100766e..8823b9b5 100644 --- a/index.html +++ b/index.html @@ -5,7 +5,7 @@ gtag('js',new Date());gtag('config','G-983V3P8SQ2',{});document.addEventListener('click',onClickCallback,false);Behavioral Data Science

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

Recent Posts

see post archive

Oct 13, 2023 +The labour markets of tomorrow
  • News
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  • Contact

    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

    Recent Posts

    see post archive

    Oct 13, 2023 Research, blogpost

    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.

    Feb 2, 2023 Research, blogpost

    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.

    Sep 19, 2022 Post

    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.

    News | Behavioral Data Science

    News archive – Updates and media coverage

    Noteworthy updates from the group.