Teaching & Resources
Graduate Courses
Computational Tools for Social Science SPE 489
Visualizing Data SPE 487
Previous Teaching Experience
Instructor
- Graduate Bootcamp in R Statistical Programming (2016–2019)
- PS6: Intro to Data Analysis (Summer 2018)
- Cluster 60A: Intro to Data Analysis — Public Opinion in the 1960s (Spring 2019)
Teaching Assistant
- Political Communications, UCLA (Fall 2018; Winter 2018)
- American Politics, UW (Fall 2014; Winter 2014; Spring 2015)
Resources
Graduate Student Advice
- Navigating a successful dissertation — my talk to CGU graduate students
- Skills building in graduate school — my talk to CGU graduate students
- The hidden curriculum: what you should learn in grad school (but might not) — my talk to CGU graduate students
- Arthur Spirling: Advice on being a graduate student
- UCLA REPS Lab Manual — establishing a writing routine, building theoretical frameworks, managing failure as a professional researcher
- Michael J. Nelson: How to read papers like a professor
- On writing academic papers
- On writing academic papers (cont.)
- On navigating an R&R from APSR editors
- On doing research — Paul Niehaus
- OUP guide to academic writing
Programming & Data Science
- GitHub Student Developer Pack — free access to tools and courses
- Statistical Inference via Data Science: A ModernDive into R and the Tidyverse — free online book
Experimental Methods
Public Data Sources
Text as Data
- text package in R — HuggingFace transformer models in R
- Ben Noble's text-as-data course (2024) — taught at Syracuse University
Difference-in-Differences
Shapefiles & Spatial Data
- Historic U.S. shapefile boundaries, 1629–2000 — USAboundaries R package
- Bridging census tracts over time
- Applied spatial data analysis with R — free book
MRP Guides & Software
- Guide by Rob Williams
- MRP primer by Jonathan Kastellec — with data
- AAPOR presentation by Doug Rivers
- MRP with rstanarm — Lauren Kennedy & Jonah Gabry
- MRP using brms and tidybayes — Tim Mastny
- Target estimation and adjustment weighting — Caughey et al. 2019
- Multilevel modeling with post-stratification — Leemann & Wasserfallen book chapter
- Introduction to MRP for estimating constituency opinion — with replication data
- DGO R package — with method paper