What’s missing? Reduce bias by addressing data gaps in your analysis process (opens in new tab)

We live in an uncertain world. Facing an ongoing global pandemic, worsening climate change, persistent threats to human rights, and the more mundane uncertainties of our day-to-day lives, we try to use data to make sense of it all. Relying on data to guide decisions can feel safe. But you might not be able to trust your data-driven decisions if data is missing from your data analysis process. If you can identify and address gaps in your data analysis process, you can reduce the bias introduce...