Results 261 to 270 of about 182,782 (306)

Data Feminism

2021
Data Feminism, by Catherine D'Ignazio and Lauren F. Klein, aims to demonstrate to readers how data can be used to "remake the world." Building upon scholarship on intersectional feminism, data science theory, and examples of data projects, the authors formulate seven principles of data feminism aimed at exposing and addressing forces of structural ...
Hale, Meredith L., Wratschko, Karina
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Data Feminism Influence on Data Visualization

Atas da 23ª Conferência da Associação Portuguesa de Sistemas de Informação, 2023
Data Visualisation is currently seen as a powerful communication tool, as the human mind is more receptive to visual information than words or raw data. However, most existing visualisations are done from an androcentric perspective. This article proposes Data Visualisation from a feminist perspective.
Beatriz Oliveira, Jorge Sá
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Enacting Data Feminism in Advocacy Data Work

Proceedings of the ACM on Human-Computer Interaction, 2023
In this paper, we present the results of a study that examines the role of data in nonprofit advocacy work. We conducted semi-structured interviews with 25 individuals who play critical roles in the data work of 18 different advocacy organizations. Our analysis reveals five key stakeholders in advocacy data work-beneficiaries, policymakers, funding and
Shiva Darian, Aarjav Chauhan, Ricky Marton, Janet Ruppert, Kathleen Anderson, Ryan Clune, Madeline Cupchak, Max Gannett, Joel Holton, Elizabeth Kamas, Jason Kibozi-Yocka, Devin Mauro-Gallegos, Simon Naylor, Meghan O'Malley, Mehul Patel, Jack Sandberg, Troy Siegler, Ryan Tate, Abigil Temtim, Samantha Whaley, Amy Voida   +20 more
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Data Feminism: Teaching and Learning for Justice

Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1, 2021
As data are increasingly mobilized in the service of governments and corporations, their unequal conditions of production, their asymmetrical methods of application, and their unequal effects on both individuals and groups have become increasingly difficult for data scientists--and others who rely on data in their work--to ignore.
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The feminization of psychology: Data from South Africa

International Journal of Psychology, 2009
In many countries, women outnumber men in psychology, both as students and as professionals. Much of this information is drawn from Europe and the USA, and the information available about the situation in developing countries is a lot less detailed. The steady increase in the presence of women in psychology in South Africa is examined, via access to ...
Kerry, Skinner, Johann, Louw
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Data Feminism: D'ignazio and Klein Call Out Inequality in Data

IEEE Women in Engineering Magazine, 2021
Ph.D. candidate Daniene Byrne recently read a book that she says is a must read for people in science, technology, engineering, and mathematics. It?s Data Feminism, a book by data scientists Catherine D'Ignazio and Lauren Klein that presents a way of thinking about data that is informed by both intersectional feminism and a commitment to action.
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New ways of activism: design justice and data feminism

Social Movement Studies, 2021
Design Justice: Community-Led Practices to Build the Worlds We Need by Sasha Costanza-Chock and Data Feminism by Catherine D’Ignazio and Lauren F.
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Approaching “Data Feminism”: Visualizations to Shed Light on Inequality

Journal of Communication Inquiry, 2022
Data feminism theory believes data visualization that embraces feminism can be used to reshape the world and powerfully reveal inequalities around women, people of color, and other disadvantaged groups. This paper seeks to find visualization works that are close to the thrust of data feminism and discusses their rhetorical, narrative, and other ...
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Materialising Data Feminism – How Textile Designers Are Using Materials to Explore Data Experience

Journal of Textile Design Research and Practice, 2021
In our increasingly technology driven world, many human experiences are at risk of falling into the hands of Big Tech who trade, manipulate and design with our data.
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Does bad pay cause occupations to feminize, Does feminization reduce pay, and How can we tell with longitudinal data?

Social Science Research, 2007
Abstract Predominantly female occupations pay less than “male” occupations, even after adjusting for skill demands. The devaluation perspective says that this is because gender bias influences employers’ decisions about the relative pay of occupations.
England, Paula, Allison, Paul, Wu, Yuxiao   +2 more
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