Despite advances in water systems modeling, most approaches still struggle to represent how diverse water users and managers adapt their behavior under changing environmental and policy conditions. Micro-level behavioral adaptations are key determinants of system-level outcomes, as they determine water consumption and allocation, hazard exposure and vulnerability, and ultimately system reliability and resilience. This session focuses on emerging approaches that explicitly capture these micro-level adaptation dynamics to inform system-level decision making. We invite contributions that develop or apply behavioral digital twins and related approaches, including agent-based, data-driven, and AI-enabled frameworks, to simulate coupled human–water systems. We welcome studies that examine how micro-level behavioral dynamics shape system outcomes, including reliability, resilience, and equity, across a range of socio-technical and governance contexts. The session aims to bridge advances in modeling and high-resolution data with practical decision support, with applications spanning urban, agricultural, and industrial water systems under accelerating global environmental change.

• GC - Global Environmental Change