Underdevelopment of Deep Tooling for Economic Modeling and Future Forecasting
Current economic models are often too simplistic to capture the intricate dynamics of our global economy, limiting effective policy-making and forecasting. Experimentation with innovative economic models—such as those incorporating universal basic income or alternative market systems—is rare, leaving us unprepared for emerging trends. The inherent complexity of global systems further complicates accurate forecasting, underscoring the urgent need for more sophisticated, adaptive tools that can better predict and navigate the economic landscape of tomorrow.
Foundational Capabilities (4)
Develop and refine prediction markets augmented by AI to improve future forecasting accuracy and better inform policy decisions.
Utilize techniques from chaos and complex systems theory to develop more realistic economic models that account for non-linear dynamics.
Create complex simulation models using AI agents that mimic real-world economic dynamics, providing a richer framework for policy analysis.