UTC
15.00 – 15.05
Session chair
Welcome and starting the webinar
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