📚 Research Toolkit

Welcome! This page contains research tools, notes, and side projects I’ve put together over time. Most of them are beginner-friendly, but I aim to provide useful starting points for anyone interested in these topics. I’ll keep updating this space as I systematize more of my work. I hope you find it helpful!


📊 R Package: tscsdep

Tools for Analyzing Country-Year Time-Series-Cross-Sectional 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.
🔗 GitHub Repository

This package provides functions for creating geographic spatial weights matrices and estimating spatial lag models. It supports unbalanced data up to 2019 and includes an easy-to-use wrapper for estimating:

Installation 📥

library(devtools)
devtools::install_github("judechays/STADL", dependencies = TRUE)

📖 Guides & Resources

Starting Your PhD 🎓

A set of notes based on my experience—things I wish I had known before starting my PhD, especially in the summer and weeks leading up to it.
📄 Read the guide

Presentation Tips 📢

Presentation skills matter. This guide offers strategies for structuring research presentations effectively. It was prepared for final paper presentations at the MPE Summer Methods Camp.
📄 Download the guide

Job Talk Tips 🎤

A collection of notes on how to structure and deliver a strong job talk, based on feedback I’ve received and observed from others. Disclaimer: I am not an expert—this is a summary of insights gathered from conversations and feedback sessions.
📄 Read the guide

LaTeX Tips 📝

A collection of useful LaTeX tips and tricks to streamline your workflow.
📂 GitHub Repository
📄 Overleaf Project

Getting Started with GitHub 🐙

A beginner-friendly guide to using Git and GitHub effectively.
📂 GitHub Repository

Introduction to SVM & Scikit-Learn 🤖

An introduction to Support Vector Machines (SVM) and how to implement them using Scikit-learn.
📂 GitHub Repository
🎥 Tutorial Video

Data Access & Research Transparency in Political Science 🔍

A professionalization guide focused on ensuring transparency and accessibility in political science research.
📄 Read the document