Efficient Visualisation
Immersive visualisation to understand data
Eligibility: Use any open dataset to support your entry and having experience in scientific visualisation
Go to Challenge | 11 teams have entered this challenge.
Team Name:
McBride Mob
Team Members:
Help with HELP
Project Info
Team Name
McBride Mob
Team Members
5 members with unpublished profiles.
Project Description
Use Education Department, ATO, and ABS datasets to enable user to visualise the demand for various occupations within industry sectors and see the level of Higher Education Loan Program (HELP) debt accumulated by people working in those occupations.
Team DataSets
This team does not currently have any datasets.
Challenge Entries
🌟 The Class of 2025
Considering the growing and emerging economic industries, how can data be used to assist tertiary education providers in developing courses that are relevant to, and supportive of future job creation?
Eligibility: Use any open dataset to support your entry.
Go to Challenge | 10 teams have entered this challenge.
ATO for individuals
How can ATO and other Australian public data be used to help the community fill employment opportunities?
Eligibility: The participants need to use ATO Taxation Statistics.
Go to Challenge | 27 teams have entered this challenge.
Australia’s Future Employment
Choose one of the following questions to address: 1. How can recent and future changes in the labour market help prepare young people for job opportunities? 2. What can we learn from case studies of regional labour markets? For example, what does rapid change in the industries or occupations within a region tell us about the needs of employers/workers in other regional labour markets
Eligibility: Use one or more datasets from the Labour Market Information Portal
Go to Challenge | 38 teams have entered this challenge.