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“The US government’s response to coronavirus has been a case of missing data. There has been community spread, but the numbers are completely unreliable because kits are in short supply and people are having a hard time getting tests. And then poor people, which include many from immigrant backgrounds, will be less likely to seek tests because of lack of insurance, lack of ability to afford insurance co-pays and lack of paid sick time if they test positive.”

Data Feminism author Catherine D’Ignazio was interviewed by The Guardian about the importance of recognizing bias in technology and how to stamp it out.