Climate Risk Management in the Anthropocene: From Basic Science to Decisionmaking and Back.
Abstract:
This presentation reviews current and suggests improved approaches to designing and analyzing climate risk management strategies. Choosing a strategy involves complex trade-offs across diverse objectives and risk management instruments. In addition, this problem is imbued with deep uncertainty, where decisionmakers disagree about the appropriate problem framing, model structure, parameter values, and objectives. Neglecting this deep uncertainty can lead to considerable biases in risk assessments. Furthermore, deep uncertainty can render the typically applied model of expected utility maximization a poor description of actual decisionmakers’ preferences. Applying a robust decisionmaking framework can improve decision support, identify mission-critical basic science questions, simplify the integration of new scientific findings, and provide avenues to analyze coupled epistemic-ethical questions.
