Grants and Contributions:

Title:
Causally-Informed Spatiotemporal Modeling for Interpretable Fatality Forecasting
Agreement Number:
-
Agreement Value:
$25,000.00
Agreement Date:
Mar 11, 2025 - May 30, 2027
Description:
Funding will support research to National Defence's Fast Forward: Forecasting global emerging threats Challenge. The Department of National Defence (DND) and the Canadian Armed Forces (CAF) are seeking innovative forecasting models that leverage the power of publicly available information, statistical methods, and machine learning models to assist DND with forecasting flashpoints and emerging threats around the world.
Organization:
National Defence
Expected Results:

The objective of the Challenge is to incentivize Canadian innovators to create accurate and precise forecasting models for future use by the Canadian Defence Team.

Location:
Markham, Ontario, CA L3T 4V5
Reference Number:
018-2024-2025-Q4-CO2-033
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Type:
For-profit organization
Recipient's Legal Name:
Mindlab Inc.
Program:
Innovation for Defence Excellence and Security Program - Concept Development
Program Purpose:

Collaborate with academic and private sector partners to build a network of expertise to support Canada’s current and future defence and security needs.