James Doss-Gollin’s research focuses on understanding how assumptions and uncertainties about the future shape system design and investment in water systems and climate adaptation. His approach uses space-time statistical modeling, operations research methods, and a physics-based understanding of the climate system. He plans to build on research focus to address impactful and policy-relevant challenges in three core areas: (i) statistical-dynamical modeling of high-impact phenomena, such as atmospheric rivers, to inform spatially clustered hydroclimatic risks; (ii) scaling decentralized water and energy services and assessing their resilience; and (iii) identifying and optimizing trade-offs between investments in storage, transmission, and generation in renewable energy systems.  

James’ teaching experience and exploration of rigorous evidence have helped to define his teaching mission to create an inclusive and interactive environment in which students develop rigorous quantitative and qualitative analytical tools and apply them to the study of problems in complex systems.