Data Digest: Collecting Data, Spreading Information, and Forecasting During COVID-19
The dangers of misleading data, how hoaxes are evading technology designed to catch them, and guidance for using 2020 data in predictive models.
- By Upside Staff
- May 5, 2020
The data used to model the COVID-19 pandemic is full of inconsistencies and questions. Like any data, it would be more useful if it were collected consistently and defined clearly.
Read more at LinkedIn
Deleting online content that spreads lies or misinformation about the coronavirus doesn't necessarily stop it from spreading.
Read more at MIT Technology Review
When building models to help with recovery planning, data scientists need to know how to use 2020 data in new forecasts.
Read more at KD Nuggets