The Swinburne industrial economics team has worked with government agencies to clean and link government datasets.
Swinburne is working to unlock the evidence to support sound business policy for Australia.
Government policy change is generally slow and difficult to achieve, often because objective and robust evidence for change is not available. At the same time, many government departments collect detailed administrative datasets. But these datasets are large and unwieldy, and often contain confidential data.
The arrival of cheaper computing power and mechanisms to de-identify confidential data has made it possible to convert government datasets into valuable tools to inform policy debate and support policy decisions.
Cleaning data to develop effective policy
The Swinburne industrial economics team, along with the Swinburne Data Science Research Institute – has worked with government agencies to clean and link government datasets, and then to use the data to help government to develop effective policies.
Since 2011, the team has addressed 18 separate policy issues in collaboration with four government organisations: the Australian Bureau of Statistics; IP Australia (the government agency responsible for patents, trade marks, designs and plant breeder rights); the Australian Department of Industry, Innovation and Science; and the Victorian Department of Economic Development, Jobs, Transport and Resources.