
Fast Forward: Forecasting Global Emerging Threats
In 2024, the Canadian Department of National Defence and the Canadian Armed Forces (DND/CAF) invited research teams and innovators across the globe to take on the new Fast Forward – Forecasting Global Emerging Threats prediction challenge. Offered through the Innovation for Defence Excellence and Security (IDEaS) program, it called for expert teams to harness the power of publicly available data, statistical methods, and machine learning, to build forecasting models that could provide forecasts for fatalities in future armed conflicts, accompanied by machine-generated explanations of how the models work. Ten qualifying teams were invited to proceed in the contest following the application deadline on 10 December 2024.
Based on the performance of their respective predictions, and the intuitive documentation of their final models, the top three teams will be awarded prizes of up to $150 000. Their contributions will also help advance the use of data-driven forecasting methods by Canada’s Defense Team: “The longer-term goal is to integrate these models into methods and tools aimed at helping the Canadian Defence Team intelligence analysts to perform data-driven forecasting tasks while addressing the challenges of trust and accountability for analysts leveraging these novel forms of anticipatory intelligence. The aim will be to compare and eventually adopt systems that can help analysts to rapidly organize and exploit data from publicly available and private sources” (canada.ca).
Produce forward-looking forecasts to identify where violent conflict may emerge globally up to three years in advance.
Enhance innovate methodological tools for global and subnational conflict prediction.
Support the Canadian government with accessible, policy-relevant forecasts to enable early, targeted responses to future threats.
This contest is funded and hosted by the Canadian Department of National Defence and the Canadian Armed Forces (DND/CAF)
