Advancing the Inclusion of Womxn in Research Practices

Key Insights

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  40% of countries restrict women’s property rights, and it will take 130 years to reach gender parity in political leadership.

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  Car crash test dummies and PPE are often designed without considering women’s bodies, leading to higher risks for women.

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  Separating men and women in research can reinforce stereotypes; combining their voices often yields more balanced insights.

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  Time poverty and social desirability bias must be addressed by researchers particularly when engaging marginalized women.

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  In crisis or conservative settings, hiring local women as researchers increases trust, safety, and richer data collection.

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  Intersectionality is a critical research lens to understand multiple, overlapping discriminations affecting women of color and others.

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  Semiotic analysis reveals cultural narratives that shape gender perceptions and emotional roles in subtle but powerful ways.

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  Participatory approaches in AI research foster adoption of responsible AI principles and ensure diverse perspectives influence outcomes.

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  Quantitative data often excludes non-binary people by default, requiring more nuanced data collection strategies.

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  Measuring success in inclusive research includes hearing participants feel seen and sharing honest feedback to improve practice.

Notable Quotes