Data Analytics for Identifying and Addressing Biases

Using data analytics, educators and policymakers can identify gender biases and gaps in STEM education and employment. This insight allows for the implementation of targeted interventions to increase female participation and retention in STEM fields, creating a more inclusive environment.

Using data analytics, educators and policymakers can identify gender biases and gaps in STEM education and employment. This insight allows for the implementation of targeted interventions to increase female participation and retention in STEM fields, creating a more inclusive environment.

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