📚 Research Toolkit

Tools, notes, and side projects I’ve put together over time—mostly beginner-friendly, designed as useful starting points for research workflows. I’ll keep updating this space as I systematize more of my work.

Topic:

📊 R Package: tscsdep

Tools for analyzing country-year TSCS data with spatial and temporal dependence
Authors: Hays, Jude C., Valentina González-Rostani, Scott Cook, Robert Franzese, and Wooseok Kim (2022). Version 0.1.0.

This package provides functions for creating geographic spatial weights matrices and estimating spatial models. It supports unbalanced data up to 2019 and includes wrappers for SAR, SEM, and SAC models.

Spatial TSCS R
Installation 📥
library(devtools)
devtools::install_github("judechays/STADL", dependencies = TRUE)

🎓 Starting Your PhD

Notes based on my experience—things I wish I had known before starting

A set of notes focused on the summer and weeks leading up to the PhD, with practical advice on routines, expectations, and early decisions that matter.

Grad School Planning

📢 Presentation Tips

How to structure research presentations effectively

Prepared for final paper presentations at the MPE Summer Methods Camp, with strategies for narrative flow, slide discipline, and delivery.

Slides Communication

🎤 Job Talk Tips

Notes on how to structure and deliver a strong job talk

A collection of notes based on feedback I’ve received and observed from others. Disclaimer: not a definitive guide—just consolidated lessons that tend to help.

Job Market Talks

📝 LaTeX Tips

Useful LaTeX tips and tricks to streamline your workflow

A collection of snippets and small patterns I reuse frequently (tables, figures, Beamer, macros, and workflow conveniences).

LaTeX Overleaf Writing

🐙 Getting Started with GitHub

A beginner-friendly guide to using Git and GitHub effectively

Notes and examples to help you build a simple workflow: clone, commit, push, branches, and common troubleshooting.

Git Workflow

🤖 Introduction to SVM & Scikit-Learn

Support Vector Machines (SVM) and how to implement them in scikit-learn

An accessible walkthrough of the intuition behind SVMs, plus implementation examples and a tutorial video.

ML Python SVM

🔍 Data Access & Research Transparency in Political Science

Professionalization guide on transparency and accessibility

A short guide focused on concrete steps for ensuring transparency, reproducibility, and data accessibility in political science research.

Transparency Replication