Five interrelated research themes form the basis of our research program and are collectively critical to achieve Information Resilience.
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Agility in value creation from data
To enable agile deployment of data driven solutions within IT landscapes and business processes.
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Data curation at scale
To build new data curation methods through machine learning, crowd-sourcing and human-in-the-loop techniques to achieve data curation at scale.
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Algorithmic transparency
To enable and promote interpretability, uncertainty quantification, unbiasedness, transparency and reproducibility into the design of learning algorithms.
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Trusted data partnerships
To improve data literacy and trust in data linking in the wider community towards reducing barriers in data sharing and flow of knowledge.
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Responsible use of data assets
To create and support capacity for responsible management of data assets through principled approaches to data governance, access and sharing.
Integrated research design
Although Information Resilience is usually considered in the context of risk assessment, incident management and interoperability, we have taken a broader and more integrated approach to the research design that ensures CIRES staff and students will be trained to tackle risks and failures in an end-to-end coverage of the information pipeline from data creation and acquisition, to data consumption.
Our research projects intersect across the Centre’s five research themes. In particular, we have designed a research program that does not silo the research activity into specific areas and instead allows individual projects to capitalise on the diversity of the research team across technology, business, and social dimensions and assist our industry and government partners to achieve authentic transformational outcomes. All CIRES projects involve multi-disciplinary supervisory teams and exploit cross-theme synergies.