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Data, Knowledge and Decisions

The extraction and interpretation of information from vast quantities of data is now a fundamental part of advanced inquiry, transforming research in areas as diverse as particle physics through to digital humanities, environmental monitoring, health and finance.

Researchers at the University of Tasmania are collecting and analysing huge data sets to build new models to improve community, environmental and economic outcomes, providing a better foundation for policy and business practice. These new approaches are significant not only for Tasmania, but across international jurisdictions.

Drawing on our strengths in fundamental sciences and information technology, the University has formed close collaborations with a wide range of disciplines across the University, as well as government and industry partners.

We aspire to establish Tasmania as a reference source of globally unique, high-quality, longitudinal, integrated data sets covering our social, economic, environmental and health systems.

Research outcomes include: Establishing Sense-T, a world-first, economy-wide sensor network and data resource that creates a digital view of Tasmania; improving maths education in the classroom and the investigation of data relating to descendants of colonial penal systems to provide longitudinal insights into health.

For more information about the Data, Knowledge and Decisions Research Theme please send an email to

Fast Facts

The $8.75 million Tasmanian eResearch cloud, launched in collaboration between the University, CSIRO and the Australian Antarctic Division was ranked in 2014 as being among the 500 most powerful computer facilities in the world.

The Integrated Marine Observing System, led by the University of Tasmania, operates a system of sensors in waters around Australia, providing a huge range of insights into our oceans, helping to inform understanding of climate change, our fisheries and the undersea environment.

Research Focus

Data Technologies

Investigating and developing the fundamental technologies, tools and methods needed to collect, synthesise and interpret complex, real-world information.

Data Integration

Examining how data is integrated into evidence-based policy and development.

Models and Methods

Examining how the integration of data stimulates new models and methods in the social, economic and human sciences.

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