Rethinking of management strategies for water, energy, and human networks is key for meeting future demands under changing socio-economic and climate conditions. Modeling water, energy, and human networks, and their interconnections across spatial and temporal scales and heterogeneous future scenarios is essential to inform systems governance and operations. A growing body of work aims to capture these elements by analyzing the role of data analytics to inform policies in water and energy networks management, relying on high-resolution data, emerging technologies, analytics, and modelling techniques. This session provides an active forum to discuss emerging frameworks, methods, risk assessment, and technologies for water, energy, and human networks analysis and policy at different spatial and temporal scales. Topics of interest include demand management, big-data analytics, individual and aggregate consumer behavior, risk-based decision-making, water-energy nexus, regulations, conservation strategies, and multi-sector and/or multi-scale system resilience to cascading impacts.