Professor Webster is interested in exploring the interface between formal quantitative models and the policy process. His research focuses on environmental and energy systems analysis and decision-making under uncertainty. His work aims to analyze the uncertainty in assessment models of environmental and energy systems to produce insights that are useful to the policy community — including addressing the role of learning in the future on today's decisions, the effect of uncertainty on multi-stakeholder negotiations, and better means of communicating results to non-experts.

Projects:

The Interface of Infrastructures, Markets, and Natural Cycles—Innovative modeling and control mechanisms for managing electricity, water and air quality in Texas
An Improved Model of Endogenous Technical Change Considering Uncertain R&D Returns and Uncertain Climate Response
Air Pollution, Health and Economic Impacts of Global Change Policy and Future Technologies: An Integrated Model Analysis