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Statistics Department, Building, Harvard University, The Australian National University
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The shift to differential privacy could redefine how National Statistical Organisations balance data utility and individual privacy in the age of big data.
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.
