Last January I wrote that the purpose of phonetic transcription is to talk about differences in pronunciation. Last December I introduced accent tags, a fascinating genre of self-produced YouTube videos of crowdsourced dialectology and a great source of data about language variation. I put these together when I was teaching a unit on language variation for the second-semester Survey of Linguistics course at Saint John’s University.

When Timm, Laura, Elber and I first ran the @everytreenyc Twitter bot almost a year ago, we knew that it wasn’t actually sampling from a list that included every street tree in New York City. The Parks Department’s 2015 Tree Census was a huge undertaking, and was not complete by the time they organized the Trees Count! Data Jam last June. There were large chunks of the city missing, particularly in Southern and Eastern Queens.

In January I wrote that I believe online learning is possible, but I have doubts about whether online courses are an adequate substitute for in-person college classes, let alone an improvement. One of those doubts concerns trust and intellectual honesty. Any course is an exchange. The students pay money to the college, the instructor gets a cut, and the students get something of value in return. What that something is can be disputed.

Since July 2016 I have been working as Associate Application Systems in the Teaching and Learning Applications group at Columbia University. I have developed several apps, including this Photo Roster, an LTI plugin to the Canvas Learning Management System. The back end of the Photo Roster is written in Python and Flask.

The Problem You’ve probably heard the joke about the two people camping in the woods who encounter a hungry predator. One person stops to put on running shoes. The other says, “Why are you wasting time? Even with running shoes you’re not going to outrun that animal!” The other replies, “I don’t have to outrun the animal, I just have to outrun you.” For me this joke highlights a problem with the way some people argue about climate change.

There’s been a lot of talk over the past several years about online learning. Some people sing its praises without reservation. Others claim that it doesn’t work at all. I have successfully learned over the internet and I have successfully taught over the internet. It can work very well, but it requires a commitment on the part of the teacher and the learner that is not always present.

Imagine that you belong to a category, like “tourist.” You fit all the necessary conditions for membership in that category: you are traveling to another part of the world for recreation. But that category has a bad reputation – literally a bad name. What do you do? You split the category.

Diversity is notoriously subjective and difficult to pin down. In particular, we tend be impressed if we know the names of a lot of categories for something. We might think there are more mammal species than insect species, but biologists tell us that there are hundreds of thousands of species of beetles alone.

In 1936, Literary Digest magazine made completely wrong predictions about the Presidential election. They did this because they polled based on a bad sample: driver’s licenses and subscriptions to their own magazine. Enough people who didn’t drive or subscribe to Literary Digest voted, and they voted for Roosevelt. The magazine’s editors’ faces were red, and they had the humility to put that on the cover.

For the past five years I’ve been working on a project, the Digital Parisian Stage, that aims to create a representative sample of Nineteenth-century Parisian theater.