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Digital government needs to better take women s digital needs into account

Digital government needs to better take women s digital needs into account
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PSU to do internal deep dive to identify systemic inequalities among STEM faculty

PSU to do internal deep dive to identify systemic inequalities among STEM faculty
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Why Data Science Needs Feminism

The entanglement of data and power makes feminism a necessity for this growing field. B Data Feminism Excerpted from Data Feminism by Catherine D’Ignazio and Lauren F. Klein. Reprinted with Permission from The MIT PRESS. Copyright 2020. The act of collecting and recording data about people is not new at all. From the registers of the dead that were published by church officials in the early modern era to the counts of Indigenous populations that appeared in colonial accounts of the Americas, data collection has long been employed as a technique of consolidating knowledge about the people whose data are collected, and therefore consolidating power over their lives.  The close relationship between data and power is perhaps most clearly visible in the historical arc that begins with the logs of people captured and placed aboard slave ships, reducing richly lived lives to numbers and names. It passes through the eugenics movement, in the late nineteenth and early twent

Intersectionality, Inequity And Imminence Of AI: A Human Perspective

Intersectionality, Inequity And Imminence Of AI: A Human Perspective
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The Afrofeminist Power Dynamics of Data Governance for African Women

The Afrofeminist Power Dynamics of Data Governance for African Women By Guest Writer on April 6, 2021 Data is a powerful resource to address the myriad of challenges that women face across the African continent. What is counted often becomes the basis for the development of appropriate programs and policies, and resource allocation. However, in a continent where gender data remains under collected and the analysis of available gender data is largely biased, women’s needs are not adequately planned for. Furthermore, the collection of basic data for marginalized groups such as LGBTQI+ people and migrants is often ignored, meaning women bearing these identities are further invisibilized.

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