Methods, AI & Data
The craft itself: visualization, causal inference, machine learning, and AI — methods explained with real data.
17 pieces
BlogAI’s Split-Screen Politics
Left-leaning channels cast AI as a classroom, a risk, and a governance problem; right-leaning channels cast it as a business engine, a productivity tool, and a national race.
AppInsight Digest
AI-generated book summaries to read or listen to — across philosophy, psychology, self-help, history, and geopolitics.
AppNewWorldlines — The World in Numbers
A cross-country indicators explorer — 85 measures of development, democracy, belief, and wellbeing across 217 countries (1750–2025), with country profiles, rankings, and peer benchmarking.
TeachingAn Index Autopsy
We rebuilt a deprivation index from scratch with PCA — no housing costs — and compared it to the canonical ADI. They agree on the gradient and disagree violently about New York.
AppResearch Data Gallery — SCRC & Dewey
A research-data gallery surfacing curated datasets for teaching and analysis.
Political books review corpus
Amazon-style political and business book reviews with ratings, text, review metadata, product description, category, price, and reviewer fields.
TeachingRegression Exercise: Did Southwest Lower Airfares?
The hands-on companion: download the route data, run the regression yourself, and read the coefficients the way a manager would. Built for a live class session.
AppAI Models & Benchmarks
A filterable, sortable comparison of frontier and open-weight models — context windows, pricing, modalities, and access.
TeachingThe Coefficient Zoo
Fifty-one regressions per health behavior: what doubling a neighborhood
TeachingThe Shape of Development — PCA, Factor Analysis & Clustering
Twelve numbers describe a country. It turns out you need barely one. A working note on principal components, factors, and clusters.
TeachingThe Slope Factory
We fit the deprivation–life-expectancy regression separately in 266 American metros. Every single slope came back negative. Many small models, one law.
Trump tweet device corpus
Tweet text with timestamps and iPhone/Android attribution labels, likely for authorship, source, or political text analysis.
AppLLM Prediction Arena
Can AI beat the crowd? Six LLMs make blind probability forecasts on live prediction markets — scored on calibration and skill against the market price, then pooled into an ensemble.
Beer acquisition tweet sentiment corpus
Tweet corpus around beer-brand acquisition events, with text, source, event timing, acquisition period, URL flag, and date fields.
TeachingDid Goose Island Sell Out?
On March 28, 2011, Anheuser-Busch InBev acquired Chicago’s Goose Island. This case treats the acquisition as a natural experiment: roughly 20,000 tweets mentioning Goose Island, split into the weeks b
TeachingTwo Thumbs, One Account
During the 2016 cycle, @realDonaldTrump was posted from two devices. The Washington Post noticed a pattern: warm, on-message tweets came from an iPhone (staff), while the combative ones came from an A
TeachingCounting, Discovering, Measuring — text analysis with and without LLMs
Three generations of text-as-data — dictionaries, topic models, and LLM measurement at scale — and what large language models add. A field guide for managers and analysts.