Including: a spatiotemporal review of five COVID-19 datasets, by Dylan Halpern, Qinyun Lin, Ryan Wang, Stephanie Yang, Steve Goldstein & Marynia Kolak https://t.co/gfLFIaOqXm
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We published new peer-reviewed research on data uncertainty across popular pandemic data sources, by @dchalpern @lin_qinyun @MaryniaKolak, Steve Goldstein, Ryan Wang, Stephanie Wang https://t.co/c53c1ztpQS
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The first of a selection of articles on #COVID19 Dimensions of uncertainty: a spatiotemporal review of five COVID-19 datasets, by Dylan Halpern, Qinyun Lin, Ryan Wang, Stephanie Yang, Steve Goldstein & Marynia Kolak https://t.co/MP4PwJO5KU
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RT @dchalpern: It’s no secret that COVID-19 data have had issues. Lots of incredible work went to clean up messy data. If we simply label t…