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|CSDMS meeting abstract presentation=The Sustainable Development Goals and of the Paris Agreement declare global commitments to climate stabilization and shared prosperity, but specific pathways for their simultaneous achievement remain unclear. On smaller time scales, governmental, agricultural, and economic systems require climate adaptation solutions. Integrated assessment models (IAMs) are essential tools for managing complex systems to meet these simultaneous imperatives, but are subject to theoretical, computational, and personal limitations. In this presentation, I will discuss the role of three IAMs (GLOBIOM, FeliX, and the Resilience Indicator Multihazard Model) in service of decision making under uncertainty for science and policy. | |CSDMS meeting abstract presentation=The Sustainable Development Goals and of the Paris Agreement declare global commitments to climate stabilization and shared prosperity, but specific pathways for their simultaneous achievement remain unclear. On smaller time scales, governmental, agricultural, and economic systems require climate adaptation solutions. Integrated assessment models (IAMs) are essential tools for managing complex systems to meet these simultaneous imperatives, but are subject to theoretical, computational, and personal limitations. In this presentation, I will discuss the role of three IAMs (GLOBIOM, FeliX, and the Resilience Indicator Multihazard Model) in service of decision making under uncertainty for science and policy. | ||
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Latest revision as of 16:33, 11 June 2025
CSDMS 2017 annual meeting: Modeling Coupled Earth and Human Systems - The Dynamic Duo
Integrated Assessment Models for decision making under uncertainty
Abstract
The Sustainable Development Goals and of the Paris Agreement declare global commitments to climate stabilization and shared prosperity, but specific pathways for their simultaneous achievement remain unclear. On smaller time scales, governmental, agricultural, and economic systems require climate adaptation solutions. Integrated assessment models (IAMs) are essential tools for managing complex systems to meet these simultaneous imperatives, but are subject to theoretical, computational, and personal limitations. In this presentation, I will discuss the role of three IAMs (GLOBIOM, FeliX, and the Resilience Indicator Multihazard Model) in service of decision making under uncertainty for science and policy.
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Of interest for:
