24 Oct 25

Western Hemisphere Webinar, Part 2

UTC

15.00 – 15.05

Session chair

Welcome and starting the webinar

15.05 – 15.25

INRS

KEYNOTE
Machine learning as a tool for mineral exploration

15.30 – 15.40

Shiva Tirdad

Geological Survey of Canada

Development of deep learning methodologies: from geophysical modeling to predictive mapping

15.45 – 15.55

BREAK

15.55 – 16.05

Jean-Phillipe Paiement

VRIFY

How AI could change how we communicate about Geosciences

16.10 – 16.20

Andrei Swidinsky

University of Toronto

Impact of geologically confirmed negative training labels on prospectivity modelling of Canadian magmatic Ni (±Cu ±Co ±PGE) sulphide mineral systems

16.25 – 16.35

Glen Nwaila

University of Witwatersrand

Building confidence in mineral prospectivity mapping through scientific inquiry

16.40 – 16.50

BREAK

16.50 – 17.00

Ina Storch

Beak Consultants GmbH

Exploration Information System (EIS): Open-source toolkit & QGIS plugin for mineral system modelling and mineral predictive mapping

17.05 – 17.15

Francisca Maepa

BHP

Finding new search spaces with data science and mineral systems in the Abitibi Greenstone Belt

17.20 – 17.50

Interactive Session and General Discussions

17.50 – 18.00

Johanna Pesonen

Geological Survey of Finland

Part 2 Webinar Closing Remarks