Decolonizing Data Visualization: A History and Future of Indigenous Data Visualization

• 主要な著者: January O'Connor (著者), Mark Parman (著者), Nicole Bowman (著者), Stephanie Evergreen (著者)
• フォーマット: 図書
• 出版事項: The Evaluation Center at Western Michigan University, 2023-07-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.
• Notes: 10.56645/jmde.v19i44.783; 1556-8180
• Keywords: decolonization; indigenous; data visualization; Education; L; Social Sciences; H
• Source: Journal of MultiDisciplinary Evaluation, Vol 19, Iss 44 (2023)

On the whole, the field of data visualization is white. Contemporary views of historical data visualization tend to trace back to a few iconic visuals tied to European wars and conquests. The modern explosion of the field has been centered around the ideas of white men, as if they invented data visualization. Yet, Indigenous populations world-wide have been incorporating data visualization into their record keeping for centuries before anyone had heard of Edward Tufte. In this article, three Indigenous evaluators (Mohican/Munsee, Cherokee, and Tlingit) along with a non-Indigenous co-conspirator, will discuss their journeys creating space to weave together Western notions of data visualization best practices and Indigenous ways of knowing and storytelling. The authors focus their evaluative work on the support of Indigenous communities and will reflect on what has worked in communicating data, what hasn't, and how far data visualization has to go in all four directions.