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Personal profile

Research Interests

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

Personal profile

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.


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

Professional Information

  • Registered Professional Geoscientist (Mining and Information Geoscience), Australian Institute of Geoscientists.
  • Member of the Australian Institute of Geoscientists.
  • Member of the International Association for Mathematical Geosciences

Education/Academic qualification

Data Science, PhD, Assessment of interpretation uncertainty in spatial domains using data science and bayesian approximation, Charles Sturt University

Award Date: 02 Dec 2022

Applied Statistics, Graduate Certificate, Charles Sturt University

Award Date: 22 Aug 2017

Applied Science (Information Science), Graduate Diploma, Charles Sturt University

Award Date: 08 Apr 2005

Archaeological Heritage, Graduate Diploma, University of New England

Award Date: 19 Mar 2004

Applied Science(Geology), Bachelor

Award Date: 28 Sept 1994


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