Scott McManus

Dr Scott McManus

Spatial Science and Indigenous Data Sovereignty

Agricultural, Environmental and Veterinary Sciences

Biography

Scott McManus is a Ngiyampaa man, who has completed a PhD focusing on uncertainty assessment of spatial domains in early-stage mining projects using pXRF and Bayesian methods. He has over 25 years of consulting experience in data, data science, spatial science, quality control, Geostatistics and mineral resource estimation using geostatistical methods. Scott is a Registered Professional Geologist (Australian Institute of Geoscientists), MAIG, and a Member of the International Association for Mathematical Geosciences.

Current research interests include implementing Machine Learning in Health Administration, Responsible AI, Digital Data Sovereignty, Ethical considerations with First Nation’s Statistics, Deep learning techniques to identify river blockages in Southeast Asia, Geostatistics to quantify uncertainty in geological models and fire impacts on mangrove vegetation and regeneration on the mid-north coast NSW.

Scott teaches in the fields of spatial statistics, spatial analysis, data, data modeling, and machine learning and ethics around data and data sovereignty.

Research
  • Data Science
  • Bayesian applications to a range of problems and areas
  • Data Sovereignty and Ethics when working with First Nations People
Publications
Full publications list on CRO

Recent Publications

  • Cochrane, T., Strevens, C., Jeffries, P., McManus, S., Baumgartner, L. J., & Knight, A. (2024, March). Reconciliation in Science: Analysing Australian environmental case studies that combined Indigenous and Western science and methodologies. In University of Oxford: BCM Research Symposium.
  • McManus, S., Rahman, A., Coombes, J., & Horta, A. (2023). Computational statistical methods for uncertainty assessment in geoscience. In Computational statistical methodologies and modeling for Artificial Intelligence (pp. 220-241). CRC Press.
  • Cochrane, T., Krebs, G. L., McManus, S., Castle, S., & Spooner, P. G. (2023). Effect of soil treatment on the growth and foliage chemistry of three Eucalyptus species grown in a plantation as a food source for koalas. Australian Journal of Zoology, 71(1),
  • Cochrane, T., Jeffries, P., & McManus, S. (2022, December). Action for more ethical data science in regional policy when working in Indigenous Country or with Indigenous data. In Australia and New Zealand Regional Science Association International 45th Annual Conference 2022: ANZRSAI 2022.
  • McManus, S., Rahman, A., Coombes, J., & Horta, A. (2021). Comparison of interpretation uncertainty in spatial domains using portable x-ray fluorescence and ICP data. Applied Computing and Geosciences, 12, 100067.