Data and Society

Digital innovation enables modern life, and has the power to provide insights into solving a broad range of societal problems. Ever-increasing quantities of data, of diverse types and complexity, are being generated. We need strategies for managing and organising this data, leveraging it for predictive purposes, and exploring its impact on human society. With a critical mass of researchers in this field, our research encompasses the full data science stack from cloud computing and databases for managing large datasets, to machine learning, data mining and natural language processing, for delivering actionable insights in applications ranging from security, privacy, social media analysis, data infrastructures, transport, enterprise systems, and health.

Case study: Big data tools have big application in cancer health risk analysis

Research Program Leader: Professor Lars Kulik, T: +61 3 83441348, E: