DARE Thriving in Uncertainty and Quantifying Change in Natural Resources

The annual DARE Symposium is a fantastic opportunity to showcase the impactful research conducted by our HDRs, ECRs and Chief Investigators, who are addressing environmental challenges in biodiversity, mineral resources, and water security using sophisticated Data Science methodologies.

This year’s focus – Thriving in Uncertainty: Change Quantification in Natural Resources – allowed for a diverse range of topics at the intersection of data science and domain science.

The day began with an insightful keynote by Professor Scott Sisson (of UNSW Data Science Hub), exploring the nuances of data analysis within distributions. Professor Sisson featured the innovative work of his recent PhD students, offering glimpses into symbolic data analysis through simulation studies and real-world applications.

Following the keynote, four of our talented PhD candidates presented a 10-minute thesis, highlighting their research applying data science methodologies to environmental challenges. This cohort commenced their studies in June 2021 and are due to finish their candidature at the end of 2024. It was certainly a challenge for them to condense two years of research into a short presentation – but very enlightening for the audience.

  • Ratneel DeoDeep Dive: Leveraging Deep Learning for Deep-Sea Biota Identification in the Great Barrier Reef
  • Kim BenteAntarctic Bed Topography Super-Resolution via Transfer Learning
  • Dilani KaveendriBayesian Variable Selection for Spatial-Temporal Quantile Regression
  • Vihanga GunadasaEcological Forecasts of Fauna Species Response to Fire, Drought and Heatwaves

The event continued with thought-provoking presentations by DARE researchers, Associate Professors Fiona Johnson and Tongliang Liu.

Fiona discussed the intersection of climate change and water resource systems, employing data-driven and process-based approaches to understand impending challenges.

Meanwhile, Tongliang navigated the landscape of causal information extraction from observational data, shedding light on evolving causal discovery methodologies in the era of big data.

The Symposium was a very successful day, highlighting the importance of interdisciplinary collaboration shaping the future of research and environmental stewardship.

Thank you to all our attendees for their support and insightful questions. We look forward to seeing you at our next event!