uofthcdslab/hcds-pedagogy-toolkit: v0.1.0 – Module 1 beta
Guha, Shion; Chui, Victoria; Silver, Mara; Irfan, Md;
uofthcdslab/hcds-pedagogy-toolkit: v0.1.0 – Module 1 beta
First beta release of the HCDS Pedagogy Toolkit.Includes Module 1: What is Human-Centered Data Science? (slide deck, slide notes, instructor guide, codebook notebook).Feedback is welcomed via GitHub Issues or the feedback form linked in the repository README.
responsible data science, model evaluation, human-centered data science, Teaching Materials, Pedagogy, Data Science/education, algorithmic bias
responsible data science, model evaluation, human-centered data science, Teaching Materials, Pedagogy, Data Science/education, algorithmic bias
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
selected citations
Citations provided by BIP!
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average