Inaugural Australian Data Science Network Conference 2022

Event date:  21-22 November 2022

ADSN Conference group photo 2022

The inaugural ADSN Conference was hosted by the Centre for Data Science at Queensland University of Technology in Brisbane. Around 90 people from around Australia attended the two-day, face-to-face get together, and all agreed it was a resounding success. The Conference featured keynote addresses by Dr Tomasz Bednarz, Director of Strategic Researcher Engagement at NVIDIA (Santa Clara, California), and Richard Fox, Data & Analytics Manager for the Australian Football League (Melbourne).

Two of the invited speakers were from Monash University - Professor Joanna Batstone (Director, Monash Data Futures Institute) spoke about “AI and Data Science for Social Good” and Dr Emi Tanaka (Monash Econometrics & Business Statistics) gave a talk entitled “Towards a unified language in experimental designs”.

ADSN Conference group photo 2022

An additional conference highlight was the Day 1 Industry Panel Discussion moderated by Professor Michael Rosemann, Director of the QUT Centre for Future Enterprise. Panellists included Dr Iain McCowan (Dubber AI), Dr Matt Aburn (WearOptimo), Emma Black (BlackBox Co), and Professor Mark Harvey (QUT Vice-President of Business Development).

Full list of invited speakers -
  • Professor Joanna Batstone (Monash Data Futures Institute), AI & Data Science for Social Good
  • Becki Cook (QUT Centre for Data Science), Indigenous Data Science: co-designing a framework for best practice enhancement of data literacy
  • Professor Lewis Mitchell (The University of Adelaide), Data science and mathematical modelling
  • Professor Richi Nayak (QUT Centre for Data Science), Neural natural language processing methods with added context
  • Associate Professor Yoni Nazarathy (The University of Queensland), Julia as a data science research tool
  • Dr Emi Tanaka (Monash Econometrics & Business Statistics), Towards a unified language in experimental designs
  • Dr Ides Wong (CSIRO), Healthcare tech-celerated: using data to power an open and equitable health system
  • Associate Professor Andrew Zammit Mangion (University of Wollongong), Deep learning for facilitating parameter estimation in statistical models
  • Dr Astrid Zeman (Melbourne Centre for Data Science), Analysing images using Deep Convolutional Neural Networks to supplement human decision making