AI FAQ for Confused Academics
A quick FAQ for academics and administrators making decisions about AI. 20 questions, 90% understanding, intentionally brief.
Thoughts on cultural analytics, data science, and digital humanities
A quick FAQ for academics and administrators making decisions about AI. 20 questions, 90% understanding, intentionally brief.
ImageSpace uses AI to turn any image collection into an interactive scatter plot. OpenAI's CLIP vision model generates embeddings, t-SNE arranges them by visual similarity, and HDBSCAN clusters them automatically—all viewable in the browser with no backend required.
tidylens brings validated image and video analysis algorithms into the R tidyverse ecosystem, making computational visual culture research accessible to humanities scholars.
Building a new website theme with Astro and AI tools. Turns out modern web development isn't as scary as I thought.
My new book 'Cultural Analytics in R: A Tidy Approach' published by SpringerLink bridges humanities and computational methods.
Announcement of two new published articles: one on Topps WWE trading cards and another on visualizing urban demographic data.
Article published in the International Journal of Digital Humanities advocating for the General Linear Model and reproducible research compendiums.
Using Facebook's Prophet library to analyze time series trends in FBI NICS firearm background check data.
Using spatial statistics (Anselin Local Moran's I) to analyze clusters and outliers in unaccompanied migrant children data.
Using CNNs and HDBSCAN clustering to automatically categorize handwritten archival materials from the CWRGM project.