What Data Visualization Reveals: Elizabeth Palmer Peabody and the Work of Knowledge Production. Marston, R. A., Gillespie, B. M., Haire, D. H., Rigge, M., Meyer, D., Bunde, B., Klimek, S., Müller, R., Shokrana, M. S. B., Ghane, E., Brantley, S. L., Eissenstat, D. M., Marshall, J. A., Godsey, S. E., Balogh-Brunstad, Z., Karwan, D. L., Papuga, S. A., Roering, J., Dawson, T. E., Evaristo, J., Chadwick, O., McDonnell, J. J., Weathers, K. C., & Klein, L. Harvard Data Science Review, 2020. 🏷️ /unread![What Data Visualization Reveals: Elizabeth Palmer Peabody and the Work of Knowledge Production [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex This essay offers the chronological charts of Elizabeth Palmer Peabody (1804–1894), the 19th-century educator and intellectual, as early examples of how data visualization can reveal a range of forms of knowledge. It challenges the universality of the goals of clarity and efficiency when designing data visualizations, and argues for the value of visualizations that encourage sustained reflection and imaginative response. Drawing from feminist and Black studies scholarship, it confirms how visual knowledge is informed by the social, cultural, and political contexts that surround it, and how an awareness of those contexts can lead to more intentional and more effective visualization design. It concludes with a call to expand the archive of data visualization so that visualization designers, in the present, might be prompted to imagine a wider and more capacious array of visual and interactive forms. 【摘要翻译】本文以19世纪的教育家和知识分子伊丽莎白-帕尔默-皮博迪（Elizabeth Palmer Peabody，1804-1894年）的年表为例，展示了数据可视化如何揭示各种形式的知识。文章对设计数据可视化时追求清晰和高效的普遍性目标提出了质疑，并论证了鼓励持续思考和想象力反应的可视化的价值。该书借鉴了女权主义和黑人研究的学术成果，证实了可视化知识是如何从其所处的社会、文化和政治环境中获得启发的，以及对这些环境的认识又是如何促使可视化设计更加用心、更加有效的。最后，该书呼吁扩大数据可视化的档案库，从而促使可视化设计师在当下想象出更广泛、更丰富的可视化和互动形式。
@article{marston2020,
title = {What {Data} {Visualization} {Reveals}: {Elizabeth} {Palmer} {Peabody} and the {Work} of {Knowledge} {Production}},
volume = {4},
issn = {1726-4189},
shorttitle = {数据可视化揭示了什么？伊丽莎白-帕尔默-皮博迪与知识生产工作},
url = {https://hdsr.mitpress.mit.edu/pub/oraonikr},
doi = {10.1162/99608f92.5dec149c},
abstract = {This essay offers the chronological charts of Elizabeth Palmer Peabody (1804–1894), the 19th-century educator and intellectual, as early examples of how data visualization can reveal a range of forms of knowledge. It challenges the universality of the goals of clarity and efficiency when designing data visualizations, and argues for the value of visualizations that encourage sustained reflection and imaginative response. Drawing from feminist and Black studies scholarship, it confirms how visual knowledge is informed by the social, cultural, and political contexts that surround it, and how an awareness of those contexts can lead to more intentional and more effective visualization design. It concludes with a call to expand the archive of data visualization so that visualization designers, in the present, might be prompted to imagine a wider and more capacious array of visual and interactive forms.
【摘要翻译】本文以19世纪的教育家和知识分子伊丽莎白-帕尔默-皮博迪（Elizabeth Palmer Peabody，1804-1894年）的年表为例，展示了数据可视化如何揭示各种形式的知识。文章对设计数据可视化时追求清晰和高效的普遍性目标提出了质疑，并论证了鼓励持续思考和想象力反应的可视化的价值。该书借鉴了女权主义和黑人研究的学术成果，证实了可视化知识是如何从其所处的社会、文化和政治环境中获得启发的，以及对这些环境的认识又是如何促使可视化设计更加用心、更加有效的。最后，该书呼吁扩大数据可视化的档案库，从而促使可视化设计师在当下想象出更广泛、更丰富的可视化和互动形式。},
language = {en},
number = {2},
urldate = {2022-05-03},
journal = {Harvard Data Science Review},
author = {Marston, Richard A. and Gillespie, Ben Marcus and Haire, David H. and Rigge, Matthew and Meyer, Deb and Bunde, Brett and Klimek, Sonja and Müller, Ralph and Shokrana, Md Sami Bin and Ghane, Ehsan and Brantley, Susan L. and Eissenstat, David M. and Marshall, Jill A. and Godsey, Sarah E. and Balogh-Brunstad, Zsuzsanna and Karwan, Diana L. and Papuga, Shirley A. and Roering, Joshua and Dawson, Todd E. and Evaristo, Jaivime and Chadwick, Oliver and McDonnell, Jeffrey J. and Weathers, Kathleen C. and Klein, Lauren},
year = {2020},
note = {🏷️ /unread},
keywords = {/unread},
}
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