Illinois Featured Content

  • How machine learning can improve food insecurity predictions

    Feb 2, 2022 2:15 pm by Marianne SteinImpact
    Erin Lentz, Hope Michelson, and Kathy Baylis conducted research on machine learning models for food insecurity predictions.

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    • Erin Lentz, Hope Michelson, and Kathy Baylis conducted research on machine learning models for food insecurity predictions.

    Accurately predicting when and where hunger crises occur is critical to effective humanitarian aid response. A new U of I study explores how machine learning can help  improve forecasting when used appropriately.