Jae Yeon Kim's Projects
Google AI Research
COMM 4940: Governing Human-Algorithm Behavior
Heterogeneous Treatment Effects
The Hitchhiker's Guide to Data Science for Social Good
Intersectional bias in hate speech and abusive language datasets
Short bio
Jae Yeon Kim's personal website
Teaching and Learning with Jupyter
Custom Jupyter Notebook Themes
A Los Angeles Times analysis of serious assaults misclassified by LAPD
Replication files for the reflection paper on linked fate (with Reuel Rogers)
D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python
R package for making a project computationally reproducible before sharing it
Measuring Racial Lived Experience Using Factor Analysis
Data and Model-based approaches for Mitigating Bias in Machine Learning Applications
Tutorial on model assessment, model selection and inference after model selection
All of our computational notebooks
Introduction to Computational Tools and Techniques for Social Research
Wikimedia Foundation operates some of the largest collaborative projects in the world. This is our Puppet repo. This repository is a mirror; see https://www.mediawiki.org/wiki/Developer_access for contributing.
An R package for the Quantitative Analysis of Textual Data
The joy and power of functional programming in R
Guide, reference and cheatsheet on web scraping using rvest, httr and Rselenium.
:chart_with_upwards_trend: Machine Learning from the perspective of a Statistician using R
Source for the Unofficial Rcpp API Documentation