We have focused on helping regional communities fill employment opportunities by making open source data available in a user friendly format. This enables underemployed and unemployed people access to the information that they need to make informed decisions regarding their future employment.
Our teams project was born from our inexperience and inefficiency with data gathering and preparation. From this experience, we envisioned a more friendly way for government data to be utilised by everyday individuals to make decisions that will benefit society by standardising and centralising data to allow Machine Learning Algorithms to perform data augmentation on a more detailed and human level, and enable augmented analytics.
We cross referenced data from the ATO, ABS and the LMIP datasets to project future growth opportunities for for individual industries, regions and wage growth.
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