This project will develop a national framework and strategy to enable Australian research to exploit opportunities and overcome challenges arising from the revolution in open and big data technologies, and from developments in data science and machine learning. By consulting broadly across disciplines and connecting with international big data initiatives, the project will identify common and discipline-specific practices, challenges and strategic developments, map existing data science capability and infrastructure within and across disciplines, identify opportunities for efficiencies, and assess technology, infrastructure, training and collaboration priorities for the future.
The project’s Expert Working Group is jointly led by Professor Michael Barber AO FAA FTSE and Associate Professor Jane Elith FAA, together with the Academy’s National Committee for Data in Science.
The Expert Working Group is committed to taking a broadly consultative approach. We will engage with a broad cross-section of Australia’s research community, including those not commonly associated with data science, to develop the plan and to seek feedback and input. To do that, we will hold a number of targeted meetings, attend professional society functions and university-based open forums, and interview key decision makers.
The current process for plan development involves:
The Expert Working Group will seek input from the wider research community at various points throughout the process of plan development. This will involve both widespread community engagement activities as well as formal consultation once a draft plan is developed. Opportunities to be involved in these activities will be advised on this page, and via professional associations, newsletters, and the EMCR Forum.
If you have specific input or would like to engage with the committee please do not hesitate to get in touch via e-mail to firstname.lastname@example.org or with Alistair Usher (Senior Policy Analyst) at 02 6201 9439.
This project is funded by the Australian Research Council under the 2017 Learned Academies Special Projects scheme.
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