Publisher's Synopsis
AusIMM's Mineral Resource Estimation 2025 proceedings bring together a global showcase of excellence in mineral resource estimation, featuring best practices, cutting-edge research, and applied case studies from leading geologists, geostatisticians, and other resource professionals worldwide.
Key themes include data science, input data, machine learning and AI, domaining and geological modelling, estimation, classification, RPEEE and reporting, as well as quantifying, integrating, and modelling. Contributions also explore the cultural aspects of resource estimation, highlighting both successes and failures as opportunities for learning.
The final program and proceedings feature 22 peer-reviewed papers, selected through a rigorous, multi-stage review process. Together, they reflect the latest developments in the field and aim to challenge practitioners to uphold and advance the highest standards in the resource industry.
