Project Info

Team Name


Team Members

3 members with unpublished profiles.

Project Description

How do the suburbs of Sydney interact and evolve? We explore the city through the lens of data, generating new suburbs and evolving existing ones to compare and contrast with the existing social and cultural landscapes of the city.

Data Story

Our project combines multiple data sources to stitch together different aspects of the fabric of NSW, including census data, zoning and industrial data to build a rich visualisation of the connections between the different suburbs of NSW, and gain insights about the future development of the city.

Evidence of Work



Team DataSets

Zoning datasets (NEEDS LINK MATT)

SA1 boundaries (2016) (NEEDS LINK MATT)

SA1 census data, geography (2016) (NEEDS LINK MATT)

Businesses by Industry Division by Statistical Area Level 2 by Employment Size Ranges, June 2016, June 2017 & June 2018

Description of Use Used to determine prominence + density of commercial enterprise in various suburbs based on their ABN locality.

Data Set

NSW suburb/locality boundaries

Description of Use Needed these to create our "similar suburbs" map and grab the suburb names we use.

Data Set

Challenge Entries

Thrive or survive: how can we adapt for the future?

What will Australia in 2050 look like?

Go to Challenge | 38 teams have entered this challenge.

Ultimo: what are the building blocks of an innovative precinct?

What makes an innovative precinct? With huge infrastructural developments in the Ultimo community changing the way people live, work and play in and around the Ultimo area, how might we more accurately predict what the precinct will need in the future to ensure it is a hub for innovation, creativity and entrepreneurship?

Go to Challenge | 7 teams have entered this challenge.

Leveraging innovation precincts to drive economic prosperity.

How might we build on interaction between businesses and research institutions in Australian innovation precincts, to boost business capability, growth, and job creation?

Go to Challenge | 23 teams have entered this challenge.

šŸŒŸ The three Cā€™s of innovation ā€“ combination, collaboration, and chance.

How can we combine and use environmental data to gain new insights into New South Wales and tell a story of our diverse landscape?

Go to Challenge | 14 teams have entered this challenge.

šŸŒŸ Improving the customer experience of government services

How can government data be used to improve the experience of citizens interacting with government?

Go to Challenge | 24 teams have entered this challenge.

ATO for individuals

How can ATO and other Australian public data be used to help the community fill employment opportunities?

Go to Challenge | 27 teams have entered this challenge.