Novel algebraic modeling approach improves causal mapping and sensitivity analysis for social systems, supporting more effective sustainable development strategies.
Key Points
ALMODES offers a clear framework for causal mapping in social systems, addressing data limitations while enhancing model transparency.
Two case studies demonstrate its effectiveness in sustainable development—highlighting critical policies for urban health and human capital.
The method allows easy integration with various modeling techniques, including agent-based and discrete-event models, enhancing its adaptability.
Future research will focus on uncertainty quantification and optimizing integration with hybrid simulations, potentially broadening its application.