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Australian Research Data Commons

The Australian Research Data Commons (ARDC) is a transformational initiative that enables Australian research community and industry access to nationally significant, leading edge data intensive einfrastructure, platforms, skills and collections of high-quality data. In partnerships with organisations, the ARDC leads facilitations that work towards a coherent research environment to enable researchers to find, access, contribute to and effectively use services to maximise research quality and impact. The ARDC is funded by the Australian Government's National Collaborative Research Infrastructure Strategy (NCRIS).


Provides geoscientists with a world-class research ‘toolkit’ to help tackle Australia’s key geoscience challenges and improve Australian life and the environment. AuScope is funded by the Australian Government's National Collaborative Research Infrastructure Strategy (NCRIS).


The National Computational Infrastructure (NCI) is Australia’s leading high-performance data, storage and computing organisation, providing expert services to benefit all domains of science, government and industry. NCI brings the Australian Government and the Australian research sector together through a broad collaboration involving the largest national science agencies, universities, industry and the Australian Research Council. NCI is supported by the Australian Government's National Collaborative Research Infrastructure Strategy (NCRIS).

Geoscience Australia

Geoscience Australia is Australia's pre-eminent public sector geoscience organisation. We are the nation's trusted advisor on the geology and geography of Australia. We apply science and technology to describe and understand the Earth for the benefit of Australia.

Principal Investigators

D. Rhodri Davies

... is an associate professor at the Research School of Earth Sciences at the ANU. He is recognised for developing and integrating state-of-the-art tools that simulate mantle and lithosphere dynamics, with a diverse range of observational datasets. His long-term vision is to develop a new paradigm for solid Earth evolution with the overarching goal of reconstructing the thermo-chemical structure and flow history of Earth’s mantle and its evolution through space and time (4-D).
Rhodri Davies

Sia Ghelichkhan

... is a postdoctoral research fellow at the Research School of Earth Sciences at the ANU. His main research interest is convection within Earth’s mantle and constraining the rheological and thermodynamic parameters of mantle rocks, by means of numerical and analytical methods to solve the forward and inverse problem of mantle convection. Sia is specifically interested in comparisons of inverse models against the observations of topographic changes at Earth’s surface and the subsequent change in gravity in response to convection within the mantle.
Sia Ghelichkhan

Angus Gibson

... is a research software engineer at the Research School of Earth Sciences at the ANU. His key interest is in synthesising the need for high performance computing with the demands of science, in the fields of geodynamics and geophysical fluid dynamics. This happens through the development, maintenance and support of tools for modelling and analysis, and optimisation of models to run efficiently on current and future supercomputers.
Angus Gibson

Stephan Kramer

... is a research felllow at the department of Earth Science and Engineering at Imperial College London. He is an expert in the development of tools integrating state of the art numerical and computational techniques that enable cutting edge research in a variety of fields within the Earth Sciences, ranging from geodynamics to coastal oceanography. One of his key interests is the combination of modern automatic programming approaches and adjoint techniques to solve PDE-constrained inversion and optimisation problems.
Stephan Kramer

David Ham

... is a Reader in Computational Mathematics at Imperial College London, Department of Mathematics. He leads the Firedrake project, a large project on the automatic generation of scientific models for multiple different massively parallel architectures from a single high-level mathematical specification in a domain specific language.
Stephan Kramer