Barton is a complex systems scientist who combines anthropology, archaeology, earth science, and information technologies to study long-term dynamics and interactions of people and landscapes in the Anthropocene.

Rice studies archaeology: complex social organizations, community systems, the Hohokam and Mogollon regions.

Gall is a hazards geographer and studies how natural hazards and society interact. She utilizes geospatial analytics and disaster metrics (vulnerability indices, losses, etc.) to capture these interactions.

Yan's research develops machine learning methods for high-dimensional, spatio-temporal, and sequential data, including reinforcement learning, generative models, anomaly detection, and causal and tensor-based learning.

Tong's research primarily focuses on the use of spatial analytics including spatial optimization, geographic information systems, and spatial statistics to support sustainable urban and regional planning.

Dr. Lu's research interests are climate change and adaptation, agricultural community engagement, disaster and risk management, and parks & protected areas. He integrates advanced quantitative methodologies in his research.

His primary research interests include reinforcement learning, data mining, and urban computing, with a focus on trustworthy machine learning, multi-agent reinforcement learning, and spatio-temporal data mining.