Machine learning can help get COVID-19 aid to those who need it most

December 09, 2020

Joshua Blumenstock | Nature

COVID-19’s spread and lockdowns in low-income countries are leaving hundreds of millions of poor and vulnerable people without work or income. Policymakers are scrambling to find ways to help their citizens survive the next few months. UC Berkeley Professor and DTI grantee Joshua Blumenstock explains how big data and artificial intelligence can help.

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