FFC/2025: The 26th Federal Forecasters Conference

Forecasters rely increasingly on AI and machine learning to navigate rapidly evolving environments with complex and uncertain events.  From global pandemics and geopolitical conflicts to shifting trade dynamics, economic crises, and natural disasters, these events present both challenges and opportunities for forecasting.  AI and machine learning offer powerful tools to enhance predictive accuracy, identify emerging trends, and integrate vast and unconventional data sources.  However, they also may introduce new risks, biases, and difficulties in the interpretability of the results.  The 2025 Federal Forecasters Conference will explore how forecasters are leveraging AI and machine learning to improve forecasting in dynamic, rapidly changing environments.  Can these methodologies decrease forecast errors and enhance decision- making?  What best practices ensure transparency, reliability, and replicability for AI-driven forecasts?   How can AI-generated insights be effectively communicated to policymakers?

Plenary Speakers 

TBA