Integrating FATE/critical data studies into data science curricula-Reference-Cited by-同舟云学术

Integrating FATE/critical data studies into data science curricula

Published:2020-01-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency
language:
Short-container-title:

Author:

Bates Jo¹,Cameron David¹,Checco Alessandro¹,Clough Paul²,Hopfgartner Frank¹,Mazumdar Suvodeep¹,Sbaffi Laura¹,Stordy Peter¹,de la Vega de León Antonio¹

Affiliation:

1. University of Sheffield, Sheffield, UK

2. University of Sheffield, Sheffield, UK and Peak Indicators, Chesterfield, UK

Funder

Horizon 2020

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3351095.3372832

Reference32 articles.

1. Boundary Crossing and Boundary Objects

2. An undergraduate degree in data science

3. J. Bates , P. Andrews , and E. Nunn . 2017. Learning with Data Scientists: reflections on teaching critical data studies to postgraduate Data Science students . In Proceedings of the 2nd Data Power Conference 2017 . https://carleton.ca/datapower/wp-content/uploads/DataPower 2017 _Program_FINAL-2-1.pdf J. Bates, P. Andrews, and E. Nunn. 2017. Learning with Data Scientists: reflections on teaching critical data studies to postgraduate Data Science students. In Proceedings of the 2nd Data Power Conference 2017. https://carleton.ca/datapower/wp-content/uploads/DataPower2017_Program_FINAL-2-1.pdf

4. A Data Science Course for Undergraduates: Thinking With Data

5. H. Chang F. W. Ngunjiri and K. C. Henandez. 2013. Collaborative Autoethnography. Taylor and Francis Oxon. H. Chang F. W. Ngunjiri and K. C. Henandez. 2013. Collaborative Autoethnography. Taylor and Francis Oxon.

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