The purpose of this course is to introduce students to a range of quantitative methods used in policy and decision analysis, focusing on applications in environment and energy. These methods are used to help structure and provide guidance to decision-makers on “messy problems”, especially those that require synthesizing technical information, balancing different priorities and accounting for uncertainty. This course focuses on decision-tree analysis, value of information, benefit-cost analysis, multi-attribute analysis, data synthesis techniques, and uncertainty analysis. By the end of the course, students will understand the strengths and limitation of different quantitative methods, be able to construct simple models using DecisionTools, and communicate the results and uncertainties to decision-makers.
-Gain a working knowledge of a range of formal quantitative methods for policy analysis and their strengths and limitations.
-Understand issues of estimation, uncertainty and coping with multiple objectives in decision-making.
-Construct, assess, and explain methods and models to aid in public decision-making.