In this work we offer an open and data-driven skills taxonomy, which is independent of ESCO and O*NET, two popular available taxonomies that are expert-derived. Since the taxonomy is created in an algorithmic way without expert elicitation, it can be quickly updated to reflect changes in labour demand and provide timely insights to support labour...

This report argues that both schools and industry play a role in ensuring all young people are given learning opportunities that enable them to reach their full potential.

This technical report outlines the collection and analyses of internet job-postings data, how they compare with other sources of data and their limitations.

This research summary brings together the findings from a Brotherhood of St Laurence study exploring how Australia’s jobactive employment services might better assist mature age jobseekers to get work.

Analysis of interviews with jobactive staff showed that employment services staff face considerable challenges and competing demands.