Prediction fairness will be evaluated across types of models, training datasets (mobility), lookaheads and phases.

Prediction fairness will be evaluated across types of models, training datasets (mobility), lookaheads and phases.

<p>(A) Model types and mobility used counts (B) phase demarcation where P0 represents Phase 0.</p>

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Bibliographic Details
Main Author: Saad Mohammad Abrar (21162498) (author)
Other Authors: Naman Awasthi (21162501) (author), Daniel Smolyak (21162504) (author), Nekabari Sigalo (21162507) (author), Vanessa Frias Martinez (21162510) (author)
Published: 2025
Subjects:
Science Policy
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
higher prediction errors
critical centralized resource
specific social groups
comprehensive fairness analysis
19 forecast hub
forecast hub
ethnic groups
19 pandemic
19 modelers
19 forecasts
19 communications
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urbanization level
potential harms
minority racial
disease control
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