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Data and discrimination: Representing marginalised communities in data

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Data and discrimination: Representing marginalised communities in data
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The right to be counted, or the right to be left alone?
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85
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
In the past, marginalised communities have often been left uncounted when it comes to institutional datasets. Some argue that the right to be counted is a crucial step to addressing the needs of marginalised communities; but for others, the exact opposite is true. Anonymity and not being reflected in data is exactly what some communities want, and need. In this talk, I'll discuss both sides of the argument, with concrete examples of how the different strategies have been used in various situations.