Forecast hub fairness dashboard showing the average error ratio (AER) distribution across different COVID-19 prediction models, organized by model type.

Forecast hub fairness dashboard showing the average error ratio (AER) distribution across different COVID-19 prediction models, organized by model type.

<p>Within each model type, teams are sorted in ascending order based on their median AER values. Since the user has selected “Only Race" as the variable of interest (see bottom left box) and “Hispanic" as the protected variable (see bottom center box), the AER values compare predicti...

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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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