A data science blog by Caitlin Hudon
This past week, Stanford hospital administrators used an algorithm to decide who should be in the first group to receive a COVID-19 vaccine. It didn't go well. https://twitter.com/MikeIsaac/status/1340015667114733569?s=20 The algorithm's output clearly didn't prioritize frontline workers, including the ~1,300 hospital residents who work closely with COVID-19 patients. Only about 7 of the 5,000 available first-round… Continue reading On Stanford’s COVID-19 Vaccination Algorithm
Our intake form is opinionated. Years of designing and carrying out analyses has taught me that the more context I have up-front, the better my analysis will be. So, our intake form is designed to gather as much context as we can reasonably get in a few questions.
Over the past year, I’ve gone through pregnancy, experienced childbirth, took maternity leave, went back to work (while pumping), and worked from home while taking care of a baby during a pandemic. It’s been quite a ride, and while I still love tech and data science and don’t have any plans to change the general… Continue reading N=1: My Experience with Motherhood in Tech
Focusing on these points has led to my continuous adoption of a query library -- a git repository for saving and sharing commonly (and uncommonly) used queries, all while tracking any changes made to these queries over time.
The scariest ghost stories I know take place when the history of data -- how it’s collected, how it’s used, and what it’s meant to represent -- becomes an oral history, passed down as campfire stories from one generation of analysts to another like a spooky game of telephone. These stories include eerie phrases like… Continue reading Field Notes: Building Data Dictionaries
