News

We invite you to submit workshop proposals for the International Congress on Modelling and Simulation (MODSIM2021). For MODSIM2021, the term “workshop” broadly refers to a session of more than two individuals that is not accompanied by a formal paper(s) submission. Workshops can serve multiple p...

Data analytics for resources and environments Bringing together industry and government, as well as data scientists, geoscientists, hydrologists, and ecologists from across Australia, DARE is the first cohort-based data science PhD training program in Australia. The University of Sydney in partnersh...

A big congratulations to our talented and prolific CIs for their latest round of publications and conference papers: Aaron Greenville Carcasses attract invasive species and increase artificial nest predation in a desert environment in Global Ecology and Conservation Dacheng Tao Affordance Transfer L...

A big congratulations to our talented and prolific CIs for their latest round of publications and conference papers: Hadi Afshar, Rafa Oliveira and Sally Cripps Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers accepted at the 2021 Artificial Intelligence and Statistics Conference ...

Please join the annual AOGS meeting this year at session “IG17: Novel Approaches to Constructing Multidisciplinary Geoscientific Models and Understanding Their Uncertainty”. The importance of diverse sources of data and knowledge is well recognized in the geosciences. Using multiple datasets...

A big congratulations to our talented and prolific CIs for their latest round of grants and publications: Grants Roman Marchant has been successful in LIEF grant for which he is a CI Nyingarn: a platform for primary sources in Australian Indigenous languages “This project aims......

We are delighted to share some of the achievements that our DARE team has accomplished recently: Link to papers: Towards plausible lithological classification from geophysical inversion: honouring geological principles in subsurface imaging Convex Optimization for Blind Source Separation on a Statis...