To identify biases, begin by collecting detailed demographic data within women’s tech groups, including race, age, education, and career level. This allows for measuring representation gaps and understanding which subgroups may be underserved or face barriers. Accurate data collection is essential for highlighting discrepancies and tailoring interventions effectively.
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