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@seema_econ An example (w. appreciation and respect to @gk_ben): “Here’s a fantastic dataset of COVID-19-related public library closures nationwide (with some geocoding!). This could also be a good proxy for other closures.” could be RTed rather than QTed @gk_ben/1244062845664464896
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@seema_econ @gk_ben Or, the amazing @cameron_pfiffer (thank you!) putting together an amazing public resource, but the “announcement” tweet includes some scary tech details that would ideally have been broken into another tweet. @cameron_pfiffer/1242854897394937857