4 other members
with unpublished profiles.
Unleash the power of machine learning to predict the causal factors of noncompliance.
The team delivered learning Algorithm model to predict the risk of noncompliance on case by case basis.
Our team built a complete machine learning model that harness large volume of government datasets from various organisations including: Australian Taxation Office, Australian Bureau of Statistics and Australian Government Financial Security Authority-non-compliance in personal insolvency data.
We are seeking to challenge the status quo. Moving from open data as a bi-product of government business, to active management of open data to better support reuse and innovation – hence open data with a purpose. To achieve this we want to trigger a conversation between developers and the data custodians.
How can open data be used to make a social impact, contributing to the betterment of society? How can we improve prospects for children, and education, using open data?
What sort of impact can be made on homelessness, mental health outcomes, or the environment, using open data?