Feminist Data Visualization. D'Ignazio, C. and Klein, L. F. IEEE Vis conference on Feminist Data Visualization, IEEE VIS 2017, October 1-6, 2017(http://ieeevis.org/ (tbd)):5. einführend: https://civic.mit.edu/feminist-data-visualization
Feminist Data Visualization [pdf]Paper  abstract   bibtex   
In this paper, we begin to outline how feminist theory may be productively applied to information visualization research and practice. Other technology- and design-oriented fields such as Science and Technology Studies, Human-Computer Interaction, Digital Humanities, and Geography/GIS have begun to incorporate feminist principles into their research. Feminism is not (just) about women, but rather draws our attention to questions of epistemology – who is included in dominant ways of producing and communicating knowledge and whose perspectives are marginalized. We describe potential applications of feminist theory to influence the information design process as well as to shape the outputs from that process.
@article{dignazio_feminist_nodate,
	title = {Feminist {Data} {Visualization}},
	volume = {IEEE VIS 2017, October 1-6, 2017},
	url = {http://www.kanarinka.com/wp-content/uploads/2015/07/IEEE_Feminist_Data_Visualization.pdf},
	abstract = {In this paper, we begin to outline how feminist theory may be productively applied to information visualization research and practice. Other technology- and design-oriented fields such as Science and Technology Studies, Human-Computer Interaction, Digital Humanities, and Geography/GIS have begun to incorporate feminist principles into their research. Feminism is not (just) about women, but rather draws our attention to questions of epistemology – who is included in dominant ways of producing and communicating knowledge and whose perspectives are marginalized. We describe potential applications of feminist theory to influence the information design process as well as to shape the outputs from that process.},
	language = {en},
	number = {http://ieeevis.org/ (tbd)},
	journal = {IEEE Vis conference on Feminist Data Visualization},
	author = {D'Ignazio, Catherine and Klein, Lauren F.},
	note = {einführend:
https://civic.mit.edu/feminist-data-visualization},
	keywords = {act\_Collaborating, act\_Visualizing, activity: Assess, activity: Gather, activity: Reflect, obj\_Data/Databases, obj\_DigitalHumanities, obj\_Humanities, obj\_Maps},
	pages = {5},
}
Downloads: 0