Research Contributions

Our current research develops a planning framework that classifies diverse uncertainties in the natural and social environments and assesses the potential to learn about uncertainty in the future.

This enables flexible yet reliable water infrastructure and climate change adaption decisions. I embed information uncertainties with hight potential for future learning into a multistage, stochastic optimization model. To do this, we characterize uncertainty by applying Bayesian inference to potential observations of future change with hydrological or climate models. This approach can be used to equitably and efficiently target climate change adaptation investments where they are needed most.