Editing HCDS (Fall 2017)/Bib
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:* Create a typology of open data | :* Create a typology of open data | ||
;Learning With Data | ;Learning With Data: Designing for Community Introspection and Exploration: Dasgupta and Hill | ||
* Allow users access to their own online community data | * Allow users access to their own online community data | ||
* How do we leverage data science to study, evaluate, and improve the design of systems that enable end-user data science? | * How do we leverage data science to study, evaluate, and improve the design of systems that enable end-user data science? | ||
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* Various ways that qual and quant methods combine for research good | * Various ways that qual and quant methods combine for research good | ||
* Some ml approaches (neutral networks) make it more difficult to say what features produced the results and whether those features should be questioned | * Some ml approaches (neutral networks) make it more difficult to say what features produced the results and whether those features should be questioned | ||
Qual methods can lead to biased inferences as well | |||
[[Category:HCDS_(Fall_2017)]] | [[Category:HCDS_(Fall_2017)]] |