Planners should treat design parameters such as prediction investment and capacity as optimizable variables upstream of standard policy targeting in resource allocation problems.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Sensitivity analyses of NYC heat emergency indices show that reasonable variations in input variables and spatial scale lead to substantially different risk scores affecting downstream government decisions.
Prioritization algorithms in public services generate relative disparities among intersectional groups as resources become scarce, intensifying perceptions of inequality.
citing papers explorer
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On the Meta-Design of Allocation Problems
Planners should treat design parameters such as prediction investment and capacity as optimizable variables upstream of standard policy targeting in resource allocation problems.
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Scrutinizing Index-Based Risk Assessments: A Case Study in NYC Decision-making for Heat Emergency Management
Sensitivity analyses of NYC heat emergency indices show that reasonable variations in input variables and spatial scale lead to substantially different risk scores affecting downstream government decisions.
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The Paradox of Prioritization in Public Sector Algorithms
Prioritization algorithms in public services generate relative disparities among intersectional groups as resources become scarce, intensifying perceptions of inequality.