数据可视化、图形医学和COVID-19大流行的批判

Ishan Joshi, Sathyaraj Venkatesan
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引用次数: 0

摘要

在2019冠状病毒病大流行之后,数据集得到了大量使用。尽管数据集被用于文件编制、政策制定、路线修正和研究等方面,但它们无情地将人类简化为数字,并掩盖了我们在COVID-19大流行期间的情感和情感体验。图形医学与数据的这种去语境化、去个性化和霸权化的影响争论不休,在不完全无视数据的执行权威的同时,对数据进行批评和补充,最终得出一个复杂的数据模型。通过仔细阅读由Andy Warner, Sarah Firth和Randall Munroe创作的漫画,本文展示了图形医学如何通过包含社会/个人和感觉结构来想象不同的参与数据的方式,以传达我们存在的具体本质。换句话说,图形医学通过一个我们称之为“重绘”的过程,从数据集中重新物质化和回收个体。重绘是一种文本实践和与视觉/语言话语的权威及其相关技术的战略接触,通过反讽,讽刺和类型混合等修辞操作。文章最后强调需要人性化、语境化和敏感地呈现数据,以传达我们存在的集体性、纠缠性和情感性。QScience Connect的版权归哈马德·本·哈利法大学出版社(HBKU出版社)所有,未经版权所有者明确书面许可,其内容不得复制或通过电子邮件发送到多个网站或发布到listserv。但是,用户可以打印、下载或通过电子邮件发送文章供个人使用。这可以删节。对副本的准确性不作任何保证。用户应参阅原始出版版本的材料的完整。(版权适用于所有人。)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Critique of Data Visualisation, Graphic Medicine and the COVID-19 Pandemic
Data sets were plentifully used in the wake of the COVID-19 pandemic. Although they were utilized for documentation, policy formulation, course correction, and research among others, data sets relentlessly reduced human beings to mere numbers and glossed over the affective and emotional experiences which characterize our lived experience of the COVID-19 pandemic. Quarrelling with such decontextualized, depersonalized, and hegemonic impacts of data, graphic medicine while not entirely dismissive of the performative authority of data, criticizes and supplements data only to arrive at a complex model of data. Using close reading of comic panels created by Andy Warner, Sarah Firth, and Randall Munroe, the present article demonstrates how graphic medicine imagines different ways of engaging data through enfolding the social/individual and structures of feeling to convey the embodied nature of our existence. Put differently, graphic medicine rematerializes and reclaims the individuals from datasets through a process which we call "redrawing." Redrawing is a textual practice and strategic engagement with the authority of visual/verbal discourses and its attendant technologies through rhetorical operations of irony, satire and genre blending among others. The article concludes by emphasizing the need to humanize, contextualize, and sensitively present data so as to convey the collective, entangled and affective nature of our existence. [ FROM AUTHOR] Copyright of QScience Connect is the property of Hamad bin Khalifa University Press (HBKU Press) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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