Decolonizing Data
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Decolonizing Data
Author: Jacqueline M. Quinless
language: en
Publisher: University of Toronto Press
Release Date: 2022-02-15
Decolonizing Data explores how ongoing structures of colonialization negatively impact the well-being of Indigenous peoples and communities across Canada, resulting in persistent health inequalities. In addressing the social dimensions of health, particularly as they affect Indigenous peoples and BIPOC communities, Decolonizing Data asks, Should these groups be given priority for future health policy considerations? Decolonizing Data provides a deeper understanding of the social dimensions of health as applied to Indigenous peoples, who have been historically underfunded in and excluded from health services, programs, and quality of care; this inequality has most recently been seen during the COVID-19 pandemic. Drawing on both western and Indigenous methodologies, this unique scholarly contribution takes both a sociological perspective and the "two-eyed seeing" approach to research methods. By looking at the ways that everyday research practices contribute to the colonization of health outcomes for Indigenous peoples, Decolonizing Data exposes the social dimensions of healthcare and offers a careful and respectful reflection on how to "unsettle conversations" about applied social research initiatives for our most vulnerable groups.
Decolonizing Data
Author: Michael Filimowicz
language: en
Publisher: Taylor & Francis
Release Date: 2023-05-26
This book focuses on the values and effects that are operational in data technologies as they sustain colonial and imperialist legacies while also highlighting strategies for resistance to autocratic regimes and pathways towards decolonizing efforts. Systems and schemes for databases and automated data flow processing often contain implicitly Westernized, autocratic or even imperialist features, but can also be appropriated for resistance and revolt. Algorithms are not strictly mathematical but also embody cultural constructs. Values circulate in systems along with labels and quantities. This entails more critically reflective data practices whether in government, academia, industry or the civic sphere. The volume covers a critique of the data colonialism thesis which frames computer science as a colonizing science that uses data to classify and govern us, an alternate framing of metadata as ‘data near data’ to challenge seemingly neutral technical terms, and a case study of the use of social media platforms in the 2018 Sudanese uprising. Scholars and students from many backgrounds, as well as policy makers, journalists and the general reading public will find a multidisciplinary approach to questions posed by data decolonization research from the fields of Communication and Digital Media studies.
Decolonizing Data
Author: Jacqueline M. Quinless
language: en
Publisher: University of Toronto Press
Release Date: 2021-12-17
Decolonizing Data explores how ongoing structures of colonialization negatively impact the well-being of Indigenous peoples and communities across Canada, resulting in persistent health inequalities. In addressing the social dimensions of health, particularly as they affect Indigenous peoples and BIPOC communities, Decolonizing Data asks, Should these groups be given priority for future health policy considerations? Decolonizing Data provides a deeper understanding of the social dimensions of health as applied to Indigenous peoples, who have been historically underfunded in and excluded from health services, programs, and quality of care; this inequality has most recently been seen during the COVID-19 pandemic. Drawing on both western and Indigenous methodologies, this unique scholarly contribution takes both a sociological perspective and the "two-eyed seeing" approach to research methods. By looking at the ways that everyday research practices contribute to the colonization of health outcomes for Indigenous peoples, Decolonizing Data exposes the social dimensions of healthcare and offers a careful and respectful reflection on how to "unsettle conversations" about applied social research initiatives for our most vulnerable groups.