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Decolonizing Data yields valuable insights into the decolonisation of research methods by addressing and examining health inequalities from an anti-racist and anti-oppressive standpoint.
Decolonizing Data explores how ongoing structures of colonisation 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 colonisation 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.
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Decolonizing Data yields valuable insights into the decolonisation of research methods by addressing and examining health inequalities from an anti-racist and anti-oppressive standpoint.
Decolonizing Data explores how ongoing structures of colonisation 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 colonisation 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.