The course introduces the use of open-source large language models (LLMs) from the Hugging Face ecosystem for research in the behavioral and social sciences.

Curated research at the intersection of causal inference and natural language processing.

An R package to load, explore and work with the most recent V-Dem (Varieties of Democracy) dataset.

Data and code for manuscript "Boosting people’s ability to detect microtargeted advertising".

A minimalistic R wrapper for the Reddit API

Developing a news app with different recommender systems

Data and analysis for the BuzzFeed News article, "Hyperpartisan Facebook Pages Are Publishing False And Misleading Information At An Alarming Rate."

A dataset with political datasets

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

A single-serving-site that provides a reference for Python's strftime formatting options

The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"

A course in the fundamental skills for data science. Primarily python coding, web scraping and data wrangling along with some special topics in LaTeX, research ethics and research questions.

Fundamentals of Social Data Science - Michelmas 2019

an R package for structural equation modeling and more

Some useful R-Ladies files 💜 🌍

This repository provides some tools to get your chat data (from Facebook) into an analysable format.

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

Developmental version of qgraph

An implementation of the Grammar of Graphics in R

Python Data Science Handbook: full text in Jupyter Notebooks

Python client library for Google Maps API Web Services