Michael R. Springborn

Michael R. Springborn Photo
Associate Professor

Mike Springborn’s areas of interest include resource and environmental economics, econometrics with Bayesian and spatial inference, decision-making under uncertainty, the value of information, Bayesian learning processes and general equilibrium models.  Recent and current projects include estimating and mitigating invasive species risk from international trade, adaptive management of environmental risk, econometrics for decision-making applied to screening of potentially hazardous imports, analysis of greenhouse gas control policies under uncertainty and voluntary policies for storm water pollution control. 

Mike advises graduate students in the Graduate Group in Ecology and Agricultural and Resource Economics PhD program.