To effectively address intersectionality in women in tech impact assessments, it is essential to gather and analyze data that captures a wide range of identities, including race, ethnicity, disability, socioeconomic status, and LGBTQ+ status. This ensures that the nuanced experiences of all women are represented, revealing unique barriers and opportunities within the tech sector.

To effectively address intersectionality in women in tech impact assessments, it is essential to gather and analyze data that captures a wide range of identities, including race, ethnicity, disability, socioeconomic status, and LGBTQ+ status. This ensures that the nuanced experiences of all women are represented, revealing unique barriers and opportunities within the tech sector.

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