D’Ignazio and Klein formulate data feminism as a methodological and political critique of the claim that numbers become neutral when they are technically well produced. The iconic idea is that data science must examine power, challenge power, elevate emotion and embodiment, rethink binaries, embrace pluralism, consider context and make labour visible. Its theoretical contribution lies in translating intersectional feminist theory into an operational framework for data work without reducing feminism to representational balance. Methodologically, the book assembles cases from activism, design, science, visualisation, public health and civic technology, treating data practices as situated epistemic performances. Its conceptual operation is accountable counting: data becomes credible only when its conditions of production, exclusion, interpretation and use are made visible. The bridge to the wider field joins STS, critical data studies, feminist epistemology, information design and public-interest technology.
