Acknowledgement of Country
The Centre for Information Resilience (CIRES) acknowledges the Traditional Owners and their custodianship of the lands on which the University of Queensland and Swinburne University of Technology operate. We pay our respects to their Ancestors and their descendants, who continue cultural and spiritual connections to Country. We recognise their valuable contributions to Australian and global society.
Centre establishment
As technological advancements outpace societal expectations and legislative frameworks, the ARC Industrial Transformation Training Centre in Information Resilience (CIRES) is responding to an urgent need to build workforce capacity in Australia that can ensure responsible, secure, and agile value creation from data.
Headquartered at The University of Queensland in Brisbane, the Centre is a collaboration with Swinburne University of Technology in Melbourne, and current partners: Aginic, Astral Consulting, Allianz Worldwide Partners (AWP) Australia, Health & Wellbeing Queensland, Queensland Department of Education, Queensland Health, and the Queensland Police Service.
The Centre was established in July 2021 and will run for 5 years, training a cohort of Higher Degree Research students, Postdoctoral Research Fellows, and Data Engineers, during its lifetime. These researchers will be embedded in industry projects, working collaboratively with our Partners on real-world problems and solutions.
CIRES will build workforce capacity in Australian organisations to create, protect and sustain agile data pipelines, capable of detecting and responding to failures and risks across the information value chain in which the data is sourced, shared, transformed, analysed, and consumed. Building on strong foundations of responsible data science, the Centre will bring together end-users, technology providers, and cutting-edge research, to reduce the socio-technical barriers to data driven transformation and develop resilient data pipelines capable of delivering game-changing productivity gains that position Australian organisations at the forefront of technology leadership and value creation from data assets.
Partners
Governance
The governance structure of CIRES is designed to facilitate integrated, high quality and efficient operations.
The Executive Committee supports the executive function and oversight of the centre operations, partner engagements and research program.
CHAIR
Centre Director
MEMBERS
Research Director, Centre Manager, Theme Leaders, and Research Staff and Higher Degree Research student representatives
The Strategy Board provides high-level strategic advice and recommendations to the CIRES Executive Committee on the implementation of the Centre operations, partner engagement and research program while also promoting Centre activities and outcomes at a national level.
CHAIR
Appointed by the Centre Director
MEMBERS
Centre Director, Leaders from industry, government and research sectors
The International Expert Advisory Panel provides trainees and partner organisations with a global outlook in the field through their participation in CIRES PhD schools and involvement in the overall scientific program.
CHAIR
Appointed by Centre Director
MEMBERS
International research leaders in the field
The Data Governance Committee will provide high-level oversight and guidance to the CIRES Executive Committee on risks relating to data sharing and data use and ensure all research and commercial activity in the Centre has been adequately reviewed.
CHAIR
Appointed by the Centre Director
MEMBERS
Research Director, Chief Investigator representatives, Research staff representatives
Research Themes
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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.