Results 151 to 160 of about 9,095 (203)

Use of photovoice in health systems research: methodological considerations and experiences from Uganda. [PDF]

open access: yesHealth Res Policy Syst
Musoke D   +5 more
europepmc   +1 more source

Data Feminism Influence on Data Visualization

open access: yesAtas 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
openaire   +3 more sources

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   +20 more
openaire   +1 more source

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
openaire   +1 more source

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.
openaire   +2 more sources

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