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Even with an impressive $R^2$ of 0.75, EO-ML methods can mislead policymakers due to inherent uncertainties, underscoring the need for robust uncertainty quantification in poverty mapping.
A shared commitment to explicit meaning can transform software development by aligning user and designer perspectives, enhancing modularity, and ensuring accountability.