Part One: Models as socially situated scientific tools.

Jan 18stage-settingRuha Benjamin’s keynote from Data for Black Lives conference (starts ∼14:45)
Jan 25model typesMichael Weisberg, Three Kinds of Models. 19 pages.
Feb 1symbolsDavid Kaiser, Pedagogy and the Institutions of Theory. 23 pages.
Feb 8objectivityTed Porter, Quantification and the Accounting Ideal in Science. 20 pages.
Feb 15dimensionsStephen Jay Gould, Factor Analysis and the Reification of Intelligence . 44 pages.
Feb 22reificationGould continued
Mar 1people typesIan Hacking, Kinds of People: Moving Targets. British Academy Lecture. 18 pages.
Mar 8 your choiceBowker–Star, To Classify is Human.
Bowker–Star, The Case of Race Classification and Reclassification under Apartheid.
Daston, Enlightenment Calculations.
Forber–Smead, Evolution and the Classification of Social Behavior.
Hayes, Follow the Money.
Latour, Visualisation and Cognition: Drawing Things Together.
Martin–Lynch, Counting Things and People: The Practices and Politics of Counting.
Oreskes et al, Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences.
Wigner, The Unreasonable Effectiveness of Mathematics in the Natural Sciences.

Part Two: Data and artificial intelligence.

Mar 15your choiceBrayne–Rosenblat–boyd, Predictive Policing.
Breiman, Statistical Modeling: The Two Cultures.
Buolamwini–Gebru, Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification.
Christin–Rosenblat–boyd, Courts and Predictive Algorithms.
Dawid, On Individual Risk.
Halevy–Norvig–Pereira, The Unreasonable Effectiveness of Data.
Hurley–Adebayo, Credit Scoring in the Era of Big Data. (Sec I–III)
Llamas-Rodriguez, Building the Virtual Wall.
Noble–Roberts interview, Engine Failure: The Problems of Platform Capitalism.
Mar 29“Big Data”danah boyd and Kate Crawford, Critical Questions for Big Data. 18 pages.
David Auerbach, The Stupidity of Computers. 13 pages.
Apr 5
algorithmsTarleton Gillespie, The Relevance of Algorithms. 32 pages.
Apr 12
searchJames Grimmelmann, Some Skepticism About Search Neutrality. 25 pages.
James Grimmelmann, The Google Dilemma. 11 pages.
Apr 19learningMatthew Jones, Querying the Archive: Data Mining from Apriori to PageRank. 15 pages.
Zachary Lipton, The Mythos of Model Interpretability. 9 pages.
Apr 26randomnessPersi Diaconis, The MCMC Revolution (Intro). 3 pages.
Peter Norvig, On Chomsky and the Two Cultures of Statistical Learning.  15 pages.