Decision Making under Deep Uncertainty

By V. Marchau, Warren E. Walker, P. Bloemen, Steven W. Popper. 2019

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Revised Estimates of the Impact of Climate Change on Extreme Poverty by 2030 (2020, background): “The main idea behind this approach is to understand the consequences of various combinations of uncertainties to the system of interest (Bankes, Walker, & Kwakkel, 2013; Kwakkel & Haasnoot, 2019).”
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges (2020, background): “There are few wellknown theories such as three-way decisions [481] and Info-Gap (IG) decision [482], [483] which can”
The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020, unknown): “Robustness is particularly recognized as useful in addressing uncertainty arising from the existence of multiple plausible futures (Maier et al., 2016; Iwanaga et al., 2020), and other forms of ‘deep uncertainty ’ (Marchau et al., 2019).”
Climate change attribution and the economic costs of extreme weather events: a study on damages from extreme rainfall and drought (2020, background): “Furthermore, cascading impacts—impacts in which anthropogenic climate change effects are mediated by other systems—present additional challenges for climate change attribution frameworks (Otto et al. 2017; Challinor et al. 2018; Lawrence et al. 2019).”