Grants and Contributions:

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Title:
Convolutional Neural Networks for pan-Canadian mineral prospectivity: automatically tuned and explainable maps of Zn-Pb, Ni (+/-Cu +/- Co +/-PGE) and Li potential
Agreement Number:
GC-130292S
Agreement Value:
$100,000.00
Agreement Date:
Apr 25, 2023 - Mar 31, 2025
Description:
This project is focussed on supporting the dissemination of TGI public geoscience knowledge to the Canadian mineral exploration community and other stakeholders (e.g., conferences, workshops, field and short courses, seminars, databases, publications, etc.).
Organization:
Natural Resources Canada
Expected Results:

TGI public geoscience knowledge and new methodologies relevant to the discovery of new Canadian mineral resources is made available and industry and other stakeholder groups.

Location:
TORONTO, Ontario, CA M5S 1S8
Reference Number:
115-2023-2024-Q1-14003
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Type:
Academia
Additional Information:

Grant or contribution awarded and spanning more than one fiscal year.

Recipient's Operating Name:
Dr. Andrei Swidinski
Recipient's Legal Name:
THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO
Research Organization:
Department of Physics
Program:
Targeted Geoscience Initiative
Program Purpose:

Targeted Geoscience Initiative will continue to address significant public geoscience gaps by expanding the industry toolkit for exploration, with further innovative geoscience tools, exploration models and new techniques to more efficiently and effectively detect the presence of buried mineral deposits that will provide better returns on private sector investments.