Fall Meeting 2022

December 12 - 16, 2022

The representation of human action in MultiSector Dynamics (MSD) models is often highly abstracted and simplistic. For example, many integrated energy-water-land models often assume human resource demands that are fixed relative to exogenous drivers such as population or technology input and that are uniform across demographic characteristics. Additionally, MSD models tend to ignore or largely abstract institutional dynamics in resource systems, commonly adopting rules that implicitly presume centralized, non-adaptive management of resources and infrastructure. The session seeks to address these limitations in MSD modeling, highlighting state-of-the-art modeling approaches that can improve representation of human adaptation, ranging from individual consumer decisions to widescale societal transformations. We broadly invite submissions across disciplinary and methodological modeling approaches (e.g., agent-based, economic, optimization, AI/ML, etc.) and domains (water, energy, transport, etc.), illustrating the diversity of approaches to represent adaptive human actions that can be applied to MSD research on coupled human-natural system dynamics.