We are delighted to welcome our six new Chief Investigators who have recently joined the DARE team. They are experienced researchers with proven track records of multi-disciplinary research and industry collaborations, and sought-after mentors and HDR Supervisors.   Prof John Close, Australian National University, School of Physics:...

On Thursday 17th February 2022 we presented our 2nd annual DARE Symposium. 7 Investigators from the DARE Training Centre presented to a hybrid audience across Australia. Partner Investigators from McKinsey & Co and WaterNSW joined our researchers in showcasing how Data Science is Solving Domain Challenges. Check...

The DARE 2022 Symposim: Data Science Solving Domain Problems is just a week away. The DARE ARC Training Centre is taking on the grand challenges that face Australia's biodiversity, mineral and water domains by taking a multidisciplary data science approach. Previously an in-person event, the Symposium will...

DARE ARC Centre was proud to be a Gold Sponsor of the 24th International Congress on Modelling and Simulation (MODSIM2021) held from December 5-10 at the University of Sydney and International Convention Centre Sydney. The conference was a hybrid event with over 150 in-person attendees...

Congratulations to our team on their latest achievements: Tongliang Liu had the following 4 papers published in NeurIPS Confident-Anchor-Induced Multi-Source-Free Domain Adaptation Instance-Depdendent Label-Noise Learning under Structural Causal Models Probabilistic Margins for Instance Reweighting in Adversarial Training Understanding and Improving Early Stopping for Learning with...

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 purposes, such...

Thursday, 27th May 2021 A recent paper by Dr Rohitash Chandra and colleagues has helped to close large gaps in the knowledge of environmental change over time, by harnessing the power of machine learning. This cutting-edge research utilises machine learning to reconstruct precipitation for the last 250 million years based on coal deposits - contributing...

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 partnership with the University of New South...