My biggest complaint about the assessment culture that has set in across academia (and the overall rise of big quant that coincides with the monetization of big data) is that there are a lot more people with the tools to gather and measure the data than there are people who have the understanding, expertise, and rigor to tease out when the things we measure actually measure the right things.
I'm interested in reading Limits of the Numerical one of these days: https://press.uchicago.edu/ucp/books/book/chicago/L/bo146791774.html
It seems the sort of book that can take on the technocratic push for quantitative over qualitative data gathering and analysis. I find that the voices that most often get amplified in management meetings dealing in quantitative assessment are the voices that are on the wrong side of Einstein's admonition that everything should be made as simple as possible, but not simpler.
My biggest complaint about the assessment culture that has set in across academia (and the overall rise of big quant that coincides with the monetization of big data) is that there are a lot more people with the tools to gather and measure the data than there are people who have the understanding, expertise, and rigor to tease out when the things we measure actually measure the right things.
I'm interested in reading Limits of the Numerical one of these days: https://press.uchicago.edu/ucp/books/book/chicago/L/bo146791774.html
It seems the sort of book that can take on the technocratic push for quantitative over qualitative data gathering and analysis. I find that the voices that most often get amplified in management meetings dealing in quantitative assessment are the voices that are on the wrong side of Einstein's admonition that everything should be made as simple as possible, but not simpler.