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README.md

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@@ -78,3 +78,10 @@ In this hands-on tutorial we will bridge the gap between research and practice,
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- [Aequitas](http://www.datasciencepublicpolicy.org/projects/aequitas/): Bias Audit Toolkit
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- Bias and Fairness in ML [draft book chapter](https://textbook.coleridgeinitiative.org/chap-bias.html)
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### Acknowledgements
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- Aaron Dunmore
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- Beatriz Malveiro
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- Catarina Belem
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- David Polido

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