Faces of Family Violence

Supported By: 
Victorian Government - Dept Premier and Cabinet

How might we use the information from the Family Violence Royal Commission submissions to better understand the factors that will reduce family violence? Family violence is a major issue in our community. The Victorian government held a Family Violence Royal Commission. The Commission released over 200 recommendations. A number of people and organisations told their story to the commission. The objective of this challenge to is to find ways of expanding the reach of these submissions and helping to gain better understanding of factors that will reduce family violence.


Eligibility Criteria

Nominate the Theme in the entry is competing in. Use at least two data sets (at least one must be Victoria government data with a strong preference for multipliable Victorian government datasets from different departments and agencies.) Other openly licensed data may be used.


Team Name: 

Project Description

Data analysis and data journalism project, focussed on the causal factors of Family Violence within Victoria.

These informed data findings, discussed in a high level overview, data journalism format, will allow stake holders to gain an in depth understanding of key factors that drive the reduction of family violence incidents.

This data analytics and predictive modeling research will be utilized to visually depict relevant factors, trends and recommendations in family violence issues.  


Team Name: 

A web application for recording, predicting, and tracking family violence

DANK - Royal Commission into Family Violence

Team Name: 
Fully Registered

Project Overview:

Data Analysis Networking Knowledgebank (DANK) is a new way of accessing the Royal Commission into Family Violence Submissions. Improved accessibility and data visualisation have unlocked ways to easily explore the submissions to help better understand factors that reduce family violence. Meta data and text mining techniques have been used to help utilise that data and change the way the submissions can be compared to other government datasets.