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Roderick.Dev

Tom Roderick, writing on applied machine learning, causal inference, and AI governance.

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Latest posts

All things are systems - the Idlewild Acres case

A qualitative case study of how sociotechnical system design results in vulnerable populations

Abbott's Systems of Professions

Reasoning on how AI will impact labor markets

Domain AI

Why Applications of AI are a fruitful field

Where the AI market will be won

Thought on the market upheavals from AI.

🚨🚨 Published Paper Alert 🚨🚨

When Vulnerability Drives Action: Designing Forward-Looking Frameworks for Disaster Preparedness.

Making Hackathons succeed

Some principles for making good hackathons.

🚨🚨 Published Paper Alert 🚨🚨

Integrating Mental Health and Juvenile Justice Outcomes: A Case Study of Model-Agnostic Interpretable Machine Learning.

AI Systems -- then and now

AI systems cost to build have dropped substantially

AI is a tool

Convergence can be scary, and yet the parts are still useful.

Make it.

Building in the age of AI.

Thoughts and impressions on vibe coding

Notes on testing Vibe Coding after several months.

Small LLM tricks

Short notes on useful things LLMs can do in practice -- a running list.

Thoughts on turning 40

Words to live by and goals to work toward, on the occasion of turning 40.

LLMs in the workflow: what the heck to call this?

A straw poll on naming the integration of generative models into products and services.

The limiting factor for AI

The Megaface incident as a case study in AI's data economics problem.

Niche datasets

Sources for discovering datasets that don't show up in standard searches.

Joining Mastodon

Notes on moving from Twitter to Mastodon following the Musk acquisition.

Topology as a data science tool

Why UMAP deserves a place in your segmentation toolkit, and where TDA goes next.

Introducing Roderick.Dev

An introduction to Tom Roderick -- economist, data scientist, and the mind behind Roderick.Dev.