Event schedule

Programme

24 November

Day 1
Registration (in the foyer)
Welcome to Country (Auditorium)
What is the CVL? An introduction to the Characterisation Virtual Laboratory (CVL) for processing large imaging and characterisation data sets using GPU processing on HPC
  • Sharron Stapleton

Software Carpentry with Python
  • Amanda Miotto

Collecting Data from the Web
  • Sam Hames

Getting started with HPC
Research Profiles: working hard or hard work?
Morning tea (in the foyer)

The best time to talk with speakers and attendees

Key Story - Exploring Australian GLAM data
  • Associate Professor Tim Sherratt The University of Canberra

Lunch (in the foyer)

The best time to talk with speakers and attendees

Open Mic
Software Carpentry with Python
  • Amanda Miotto

Topic Modelling for Qualitative Content Analysis
  • Dr Aneesha Bakharia

Introduction to Machine Learning for Imaging
  • Dr Nicholas Hamilton

The Ecocommons: its history, and what is coming
Welcome by Professor Joe Shapter (Auditorium)
  • Professor Joe Shapter

Free
Software Carpentry with Python
  • Amanda Miotto

Open Mic
Introduction to Machine Learning for Imaging
  • Dr Nicholas Hamilton

Open Mic
Free
Software Carpentry with Python
  • Amanda Miotto

Gale Digital Scholar Lab - Humanities
Introduction to Machine Learning for Imaging
  • Dr Nicholas Hamilton

Free
Evening Reception

25 November

Day 2
Setting up an account to access CVL
  • Sharron Stapleton

Software Carpentry with Python
  • Amanda Miotto

Galaxy workshop
SAGE Research Methods
Introduction to Jupyter Notebooks
  • Dr Sara King AARNet

Morning tea (in the foyer)

The best time to talk with speakers and attendees

Key Story - Soils 4 Science
  • Soils 4 Science UQ Institute of Molecular Bioscience

Key Story - Survey Design
  • Associate Professor Sama Low-Choy Arts Education and Law

Software Carpentry with Python
  • Amanda Miotto

Top tips
Graduate Digital Research Fellows
Advanced image processing and analysis with FIJI
Free
Software Carpentry with Python
  • Amanda Miotto

Graduate Digital Research Fellows
Free
Advanced image processing and analysis with FIJI
Open Mic
Software Carpentry with Python
  • Amanda Miotto

Gale Digital Scholar Lab - Social Sciences
The Ecocommons: its history, and what is coming
Create an Open CV
  • Amanda Miotto

26 November - Brisbane

Day 3
Data transfer methods for CVL
  • Sharron Stapleton

Copyright considerations for researchers
Network Know-how & Data Handling
  • Dr Sara King AARNet

Software Containers for Reproducible (Neuro) Science

This course will introduce software containers for reproducible data analysis. We will first introduce what containers are (you might have heard of Docker or Singularity already?). Then we will show examples from the neuroimaging domain how such containers can be built and used on different operating systems and high-performance computing environments. We will close with showing our open-source project `neurodesk` which combines all these technologies in a user-friendly way and makes reproducible neuroimaging accessible for a wide audience. Some command line and linux experience is of advantage, but we will cover everything that's needed.Bring a laptop with Docker installed.

Morning tea (in the foyer)

The best time to talk with speakers and attendees

Key Story - Nature conservation
  • Professor Hugh Possingham The University of Queensland

Lunch (in the foyer)

The best time to talk with speakers and attendees

Knowledge Bazaar (in the foyer)
Stalls in the foyer
Key Story - Dr Peter Binks: Engagement
  • Dr Peter Binks

Stalls in the foyer
Open Mic
Open Mic
Hacky Hour
Open Mic

26 November - Gold Coast

Day 4
Gold Coast registration - G11 3.56
Gold Coast Welcome and icebreaker session - G11 3.56
Gold Coast only: Text Mining and Analysis - G11 3.56
Gold Coast only: An introduction to digital texts and tools for HASS research - G11 4.29
Gold Coast Key Story - Dr Stephanie Chaousis
  • Dr Stephanie Chaousis

Gold Coast only: Introduction to data wrangling with OpenRefine - G11 3.56
Gold Coast only: Data visualisation basics - G11 4.29