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Agile and Resilient Workforce

Building an agile and resilient workforce:

The impacts of developments in digital technology have been building slowly over time, bringing increasing disruption to global labour markets. Where previously the impacts of automation were felt in low-skilled and less well paid jobs, artificial intelligence now encompasses tasks being performed in well-paid and skilled jobs. New roles are already emerging in response to challenges and opportunities created by new forms of digital technology. However, workers’ agility and resilience – their ability to upskill, reskill and transition to new roles – will be crucial to ensure that Australian businesses and workers benefit from the opportunities created by these new technologies.

We bring new sources of information to bear to inform career transitions, investigate the potential to automate the identification of skills and expertise, explore new models for delivering education and training (needed to meet demand for lifelong learning) and test ways of designing more efficient labour markets.
 

Current projects:

Adaptive Skills Taxonomy:

To take advantage of the productivity gains enabled by these new technologies, human workers will need to reskill and upskill, to either focusing their effort on delivering existing tasks which are not readily automatable or to deliver new services that are enabled by the technology. In the context of these changes, it becomes increasingly important for job seekers, employers, educators and employment services providers to understand how demand for skills (within a geographic region or industry sector) are changing over time. This research aims to represent the way in which skills demand and supply is changing within local and national labour markets.

NDIS Workforce (Jobs Queensland, CSIA, Central Queensland University, Global Community Resourcing):

This research aims to identify jobs growth and training needs in response to the roll-out of the NDIS across Queensland.

Ribit Student Employability:

This research is designed to explore how the Ribit speed dating events support students’ career outcomes. These outcomes are obtained through student interviews across diverse Ribit speed networking events.
 

Completed projects:

Growing opportunities in the Fraser Coast (Jobs Queensland, TAFE Queensland):

Commissioned by Jobs Queensland, CSIRO undertook the research report drawing on literature reviews, employment data and stakeholder interviews, to reveal how the demand and supply of skills is changing over time in the region. The report focuses on identifying employment patterns and skills in demand to maximise future economic opportunities for the Fraser Coast’s workers and businesses.
 
 
 
 
 

The VET Era (TAFE Queensland):

This report is the product of a joint project undertaken by CSIRO and TAFE Queensland which investigates how the Vocational Education and Training (VET) sector can best support Australia’s future workforce in the context of evolving skill needs and forthcoming digital disruption.
 
 
 
 
 
 

Lifelong Participation through Digital Technology:

As has always been the case, our ability to flourish into the future will derive from the way in which we harness technology to overcome our challenges and create new opportunities. This report seeks to convey this potential, capturing insights from international experts and high level representatives from across Australian society to understand how the capacity and energy of older Australians can be enabled by digital technology.
 
 
 
 

Tomorrow’s Digitally Enabled Workforce (Federal Department of Employment, Australian Computer Society more here):

This report examines plausible futures for jobs and employment markets in Australia over the coming twenty years. The narrative of the future is based on a structured process of strategic foresight which identifies megatrends and scenarios.
 
 
 
 
 
 
 
 

Relevant expertise:

  • Stakeholder engagement
  • Psychometrics
  • Human factors
  • Technology acceptance
  • Economics and market design
  • Natural linguistic processing
  • Topic modelling
  • Social network analysis