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SBE 2020: Submission Detail

ID Number: 291
Title: Toward an Analytics of Gender
Lead Author: Johnson, Dominique E.
Abstract: In response to the call from the NSF/SBE 2020 Corpus, this white paper proposes and addresses the following two grand challenge questions: How will changing experiences of gender influence social science methodology and challenge fundamental assumptions behind disciplinary research? And why should survey design and data collection include rigorous operationalizations of gender in order to improve the quantitative data infrastructure? The conflation of sex and gender as a fundamental assumption of social research in the domain but not the data infrastructure is then discussed. It is then posited that in order for multiple variances are to be accounted for in both design and implementation of social research a quantitative measure of gender must emerge as an important objective aspect of the generally accepted dominant paradigm governing scientific research into the next twenty years.
PDF: Johnson_Dominique_291.pdf

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