many things in my brain with this assignment!
i keep thinking about catherine d’ignazio’s piece “what would feminist data visualization look like?” and especially the part where she asks “Can we ask of our data that it point to its own outsides?” she goes on:
“What if we visually problematized the provenance of the data? The interests behind the data? The stakeholders in the data? A single CSV file or streaming feed often has no reference to any of these more human, material elements that are nevertheless essential to understanding the where, why and how of data.”
i think yes! but how How HOW?!
she suggests: “Invent new ways to reference the material economy behind the data.”
in the process of researching all this rent stabilization stuff, it’s interesting to me that new york city beats its chest about open data, but does not make readily accessible a list of rent stabilized apartments. even though this data set certainly exists. same with the new york state department of finance, which definitely knows which landlords it gives tax abatements to (rent stabilization is partly a function of whether landlords receive tax abatements for making repairs to old units).
some data sets i did find:
what i really needed was the back end of the form below, a form that apparently exists in many disparate corners of the internet, pulling, in every corner, from the same secret database:
^^new york city department of finance
^^third-party, ny rent stabilized buildings
^^ new york city department of finance again
i also have a dream of creating my own little database/JSON file with names and photos of everyone who attended this atrocious real estate summit in brooklyn at the end of last year.