This is research project to survey academic literature, courses, and other materials related to ethics in data science.
Very much a work-in-progress.
We use semantic web technologies to chart:
Goals of this research project include:
Structure of this Repository
~/aoir-abstract/~: abstract for the project, for the AoIR conference.
~/data/~: the main graph data, in [[https://www.w3.org/TR/turtle/][Turtle]]-format [[https://en.wikipedia.org/wiki/Resource_Description_Framework][RDF]].
~/notes/~: an [[https://github.com/org-roam][org-roam]] [[https://en.wikipedia.org/wiki/Zettelkasten][Zettelkasten]], containing mostly hand-written notes for each source in the bibliography, and for additional concept notes, as needed.
~/papers~: contains PDFs of papers themselves, if available. Each paper should be named according to its bibliographic key. These may be withheld from the Git repository, for the moment.
~/turtleize/~: a set of Python scripts for generating the graph, manipulating the data, and visualizing it.
~bibliography.bib~: a BibLaTeX file containing a manually-collected bibliography
Hacking
To run the code in this project:
See [[./turtleize/README.org][the README in the turtleize/ directory for more details.]]