Scrutinizing Data Collection and Analysis Practices

Tech spaces often rely on data to make decisions, but the way data is collected and analyzed can have built-in biases. Inclusion audits review these practices to ensure they're not inadvertently reinforcing stereotypes or excluding perspectives. This might involve questioning who the data represents, who is interpreting it, and whether diverse viewpoints are considered in its analysis.