Theory of the Digital

Bad Graphs, or, I Have a BA in English

Bad Graphs, or, I Have a BA in English

Not to brag, but it’s almost impressive how many times I got something so simple so profoundly wrong, in so many odd ways.

z, p, t, d, and counting

z, p, t, d, and counting

I made the a list the other day of all of the letters, names, and new terms I have had to learn to undertake the computational study of literature and culture. It was very long. It made me realize that when researchers speak of the […]

Rethinking the Table of Contents

Rethinking the Table of Contents

I wanted to share an experiment that I worked on with Mark Algee-Hewitt to reconstruct the table of contents of our new collaboratively authored book, Interacting with Print. The book was written by 22 co-authors around the theme of interactivity. Mark and I thought it […]

1000 Words

1000 Words

Lab member Fedor Karmanov has created a beautiful new project that combines machine vision, machine learning, and poetry. It is called “1,000 Words,” and takes the self-portraits of Van Gogh and generates poems based on the colours and items in the portrait. The poems consist […]

The Danger of the Single Story – Why Quantity Matters

The Danger of the Single Story – Why Quantity Matters

I listened to a beautiful podcast the other day by Chimamanda Ngozi Adichie on “the danger of the single story.” Her point was that when we only tell one kind of story about a person or a place we cheapen our understanding. She began with […]

AI across the Generations

AI across the Generations

I gave a talk today with Paul Yachnin to the McGill Community for Lifelong Learning on “Conscientious AI.” The idea for the event was to give the audience some understanding of how machine learning works and what you might do with it. We then asked […]

Think Small: On Literary Modelling

Think Small: On Literary Modelling

This is the name of a new piece I have out in PMLA in a section called “Franco Moretti’s Distant Reading.” The first point I try to make is that calling it “Moretti’s Distant Reading” is indicative of literary studies’ continued penchant for great men. […]

Why are non-data driven representations of data-driven research in the humanities so bad?

Why are non-data driven representations of data-driven research in the humanities so bad?

One of the more frustrating aspects of working in data-driven research today is the representation of such research by people who do not use data. Why? Because it is not subject to the same rules of evidence. If you don’t like data, it turns out […]