Data Feminism

Data Feminism is an approach that examines how data collection, analysis, and use can reinforce social inequalities, particularly around gender and power. It advocates for fairness, inclusivity, and transparency by questioning biases, ensuring diverse representation, and promoting ethical practices. The goal is to use data to challenge existing injustices, champion marginalized voices, and create more equitable outcomes, recognizing that data practices are inherently political and can either reinforce or dismantle systems of oppression.