The “Midja” project (Midja, 2016) is a multi-disciplinary collaboration between data scientists, social scientists and community housing experts from the University of Queensland School of ITEE (eResearch Lab), School of Architecture (Aboriginal Environments Research Centre) and Institute of Social Science Research (ISSR). The aim of the project is to improve researchers’ understanding of regional factors that impact on homelessness and overcrowding in Indigenous communities, in order to deliver more targeted and effective Indigenous housing programs and services. It adopts a data-driven approach that involves providing researchers with: (i) access to relevant quantitative and qualitative datasets (e.g., Australian Bureau of Statistics, AHURI reports, Government agency data) via a common Web Portal, and (ii) innovative mapping and statistical analysis services that enable the integration, spatial overlay, interpretation and correlation of datasets and indicators, to inform policies and programs. The project is helping government agencies responsible for housing assistance programs in Aboriginal and Torres Strait Islander communities, to identify regions with the greatest need and to understand regional patterns, in order to target services tailored for urban, regional and remote communities.
The first goal of this project is to provide researchers (and in the longer term planners and policy makers) with a Web Portal to a more comprehensive integrated knowledge-base that aggregates data from multiple organizations into a single data model (or ontology) and online searchable repository. Sources of data include:
Given this integrated knowledge-base, the second aim is to develop innovative search, retrieval, visualization and analysis services that enable the domain experts to:
Figure 1 illustrates the Midja Portal, designed to enable researchers and program planners, to quickly and easily analyse, overlay and visualize integrated datasets.
Figure 1: The Midja User Interface: Dataset selection, overlay, mapping and analysis
This research has been funded through an Australia Research Council (ARC) Indigenous Discovery Project IN140100033.
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