Editing Human Centered Data Science (Fall 2019)/Schedule

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;Homework assigned
 
;Homework assigned
* Reading and reflect: Kenneth Holstein, Jennifer Wortman Vaughan, Hal Daumé, III, Miro Dudik, and Hanna Wallach. 2019. ''[https://arxiv.org/pdf/1812.05239.pdf Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?]''. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). ACM, New York, NY, USA, Paper 600, 16 pages. DOI: https://doi.org/10.1145/3290605.3300830
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* Reading and reflect: TBD (data science ethics survey paper)
* [[Human_Centered_Data_Science_(Fall_2019)/Assignments#A6:_Final project presentation|A6: Final project presentation]]
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* A6: Final project presentation
  
 
;Resources
 
;Resources

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