Personal Site of Miles D. Williams

Political Science and Data Science Nerd

Follow me on GitHub

Welcome!

Data analysis and visualization are cornerstones of quantitative political science research. On this site, you’ll find a veritable portfolio of my various projects and analyses, as well as details about the nuts and bolts of my research and techniques used to analyze original datasets and create professional looking visualizations.

My interests encompass a wide variety of subfields and research questions, and my toolbox of methods is always expanding. Whether I’m applying Monte Carlo methods to measure the uncertainty of US foreign aid’s effect on bilateral migrant inflows into the US:

effect of aid on immigration

Or applying versatile tools such as dwplot() in R’s dotwhisker package to display results from OLS and Tobit estimation of gravity-type equations of the impact of numerous covariates on bilateral immigration using dyadic panel data:

OLS and Tobit Results

Or making use of unsupervised methods of machine learning for text analysis to identify latent topic structures and topical prevalence in primary and general election presidential debates:

continuous plot

I’ve used each research project as an opportunity to expand my skills.

Though my passion for quantitative methods was initially kindled my first semester as a graduate student in political science, much of what I’ve learned is self-taught. My desire to continually imporve and learn has proved a valuable asset that has always pushed me to greater heights. Hopefully this site (while a work in progress) will adequately display my persistent drive for improvement and exploration.

Recent Articles

Social Media and Partisanship

Monte Carlo Simulations

Making Better Graphics for Structural Topic Model Objects with R

How to Model the Gravitational Pull of Bilateral Foreign Aid on Bilateral Immigration

Machine Learning for Text Analysis with R

Resume/CV

My Resume.pdf

For More of My Work Check Out My Personal Blog and Plotly Account

The Political Scientist

Plotly