blog navigation

Illinois Featured Content
Impact

blog posts

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

    How machine learning can improve food insecurity predictions

    Feb 2, 2022 2:15 pm

    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. 

  • Graduate student George Watson, first author on the study, holds a sign and a soil analyzer in a Chicago backyard.

    Lead lurking in your soil? New Chicago project maps distribution

    Jan 26, 2022 10:30 am

    Lead exposure in early childhood can cause brain damage, developmental delays, and learning and behavioral disorders. Preventing these outcomes means avoiding lead, but that’s only possible if you know where to find it.

  • MiMi Aung, center. JPL-CALTECH/NASA/The New York Times/Redux

    Alumna MiMi Aung on Time's 100 Most Influential list

    Jan 19, 2022 11:45 am

    Making a helicopter fly in Mars' low atmospheric pressure is no small feat, especially considering it has to pilot itself- communication latency between Earth and Mars makes direct control impossible. MiMi Aung led the team that made it happen.