Editing Human Centered Data Science (Fall 2019)/Schedule (section)

=== Week 3: October 10 ===
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;Interrogating datasets: ''causes and consequences of bias in data; best practices for selecting, describing, and implementing training data''

;Assignments due
* Week 2 reading reflection

;Agenda
* Reading reflection review
* Sources and consequences of bias in data collection, processing, and re-use
* In-class activity

;Homework assigned
* Read both, reflect on one:
:* Wang, Tricia. ''[https://medium.com/ethnography-matters/why-big-data-needs-thick-data-b4b3e75e3d7 Why Big Data Needs Thick Data]''. Ethnography Matters, 2016.
:* Kery, M. B., Radensky, M., Arya, M., John, B. E., & Myers, B. A. (2018). ''[https://marybethkery.com/projects/Verdant/Kery-The-Story-in-the-Notebook-Exploratory-Data-Science-using-a-Literate-Programming-Tool.pdf The Story in the Notebook: Exploratory Data Science using a Literate Programming Tool]''. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI’18, 1–11. https://doi.org/10.1145/3173574.3173748

;Resources
* Bender, E. M., & Friedman, B. (2018). [https://openreview.net/forum?id=By4oPeX9f Data Statements for NLP: Toward Mitigating System Bias and Enabling Better Science]. To appear in Transactions of the ACL.
* Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Daumeé III, H., & Crawford, K. (2018). [https://www.fatml.org/media/documents/datasheets_for_datasets.pdf Datasheets for datasets]. arXiv preprint arXiv:1803.09010.
* Olteanu, A., Castillo, C., Diaz, F., Kıcıman, E., & Kiciman, E. (2019). ''[https://www.frontiersin.org/articles/10.3389/fdata.2019.00013/pdf Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries].'' Frontiers in Big Data, 2, 13. https://doi.org/10.3389/fdata.2019.00013
* Rose Eveleth ''[https://www.vox.com/the-highlight/2019/10/1/20887003/tech-technology-evolution-natural-inevitable-ethics The biggest lie tech people tell themselves — and the rest of us].'' October 8, 2019, Vox.com.
* Rani Molla ''[https://www.vox.com/2019/2/8/18211794/government-data-internet The government is using the wrong data to make crucial decisions about the internet].'' February 8, 2019, Vox.com.
* Isaac L. Johnson, Yilun Lin, Toby Jia-Jun Li, Andrew Hall, Aaron Halfaker, Johannes Schöning, and Brent Hecht. 2016. Not at Home on the Range: Peer Production and the Urban/Rural Divide. DOI: https://doi.org/10.1145/2858036.2858123 
* Leo Graiden Stewart, Ahmer Arif, A. Conrad Nied, Emma S. Spiro, and Kate Starbird. 2017. Drawing the Lines of Contention: Networked Frame Contests Within #BlackLivesMatter Discourse. CSCW 2017. DOI: https://doi.org/10.1145/3134920 
* Lada A. Adamic and Natalie Glance. 2005. The political blogosphere and the 2004 U.S. election: divided they blog. (LinkKDD '05). DOI=http://dx.doi.org/10.1145/1134271.1134277 
* Cristian Danescu-Niculescu-Mizil, Robert West, Dan Jurafsky, Jure Leskovec, and Christopher Potts. 2013. No country for old members: user lifecycle and linguistic change in online communities. (WWW '13). DOI: https://doi.org/10.1145/2488388.2488416 
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