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Team Name:

Gold Coast Hackers


Team Members:


Evidence of Work

Covid in Control

Project Info

Team Name


Gold Coast Hackers


Team Members


Narayana Aditya Madineni , Rama Krishna , Siddhartha Ampolu and 1 other member with an unpublished profile.

Project Description


Better use of Covid affected area datasets and LGA boundaries in Risk assessment and decision making.
The Covid in Control App gives details of decision making for improving Government Services in affected Areas.

The NSW government is working to deliver better services to customers. Use NSW government open data to demonstrate how government services can be improved.
We want a reusable data story that demonstrates the value that can be drawn from open data. This could be produced as an interactive webpage, visualisation, dashboard, video or animation.


#covidincontrol

Evidence of Work

Video

Homepage

Team DataSets

Local government area boundaries - New South Wales

Description of Use Local government area boundaries - New South Wales for Covid Cases

Data Set

Covid Cases in NSW

Description of Use The data is for locations associated with confirmed COVID-19 cases that have been classified by NSW Health for action. Refer to the latest COVID-19 news and updates for information on action advice provided by NSW Health.

Data Set

Challenge Entries

Pandemic Survival

Help us survive a pandemic!

Eligibility: Must use data from data.qld.gov.au.

Go to Challenge | 7 teams have entered this challenge.

COVID-19 Economic / Social Recovery

How might we use data to assist our understanding of what a post-COVID-19 Victoria may look like?

Eligibility: Participants must use one or more datasets from data.vic.

Go to Challenge | 8 teams have entered this challenge.

Improving government services with open data

How can we improve government services by using open government data?

Eligibility: Create a data story in any format demonstrating how government services can be improved by making data-driven decisions. Teams can use any open datasets, but at least one must be a NSW Government dataset.

Go to Challenge | 14 teams have entered this challenge.