My name is John Paul Helveston and I am an Associate Professor in EMSE @ GWU.

On GitHub you'll usually see me contributing to research projects, R packages, courses I develop / teach, or other fun side projects. I speak English, Chinese, R (base + tidyverse), and Python fluently as well as some moderate CSS and HTML. 😄

If you've found anything I've contributed to helpful and want to support me, feel free to make a donation.

• Personal Website
• Linkedin
• Blue Sky
• Research Gate
• Google Scholar
• orcID

Each of these repositories contain the data and code to reproduce analyses for research projects:

• smart-charging-preferences-2025: Replication code for our 2025 paper "Measuring electric vehicle owners’ willingness to participate in smart charging programs" Environmental Research Letters. DOI: 10.1088/1748-9326/ae2597.
• science-2025: Replication code for my 2025 paper "How collaboration with China can revitalize US automotive innovation" Science. DOI: 10.1126/science.adz0541
• av_labor_cost_2024: Replication code for our 2024 paper "Modeling the Operational and Labor Costs of Autonomous Robotaxi Services" Transport Policy. DOI: 10.1016/j.tranpol.2024.10.010
• pev-resale-2024: Replication code for our 2024 paper “Battery-Powered Bargains? Assessing Electric Vehicle Resale Value in the United States” Environmental Research Letters. DOI: 10.1088/1748-9326/ad3fce
• vmt-2023: Replication code for our 2023 paper "Quantifying electric vehicle mileage in the United States." Joule. DOI: 10.1016/j.joule.2023.09.015
• solar-learning-2021: Replication for our 2022 paper "Quantifying the cost savings of global solar photovoltaic supply chains." Nature. DOI: 10.1038/s41586-022-05316-6
• pev-incentives-2021: Replication for our 2022 paper "Not all subsidies are equal: Measuring preferences for electric vehicle financial incentives.” Environmental Research Letters. DOI: 10.1088/1748-9326/ac7df3
• dcTravelSurvey: A conjoint survey about user trip travel preferences in the DC Metro Area conducted at George Washington University.
• pev-experience-2019: Replication for our 2020 paper "Electric vehicle adoption: can short experiences lead to big change?,” Environmental Research Letters. 15(0940c3). DOI: 10.1088/1748-9326/aba715
• tra2015: Replication for our 2015 paper "Will subsidies drive electric vehicle adoption? Measuring consumer preferences in the U.S. and China" Transportation Research Part A: Policy and Practice, 73, 96–112. DOI: 10.1016/j.tra.2015.01.002

• surveydown: A flexible, open-source platform for making markdown-based surveys with R, Quarto, Shiny, and PostgreSQL.
• logitr: logitr: Fast Estimation of Multinomial and Mixed Logit Models with Preference Space and Willingness to Pay Space Utility Parameterizations utility parameterizations. Accomanying JSS article here: DOI: 10.18637/jss.v105.i10
• cbcTools: An R package with tools for designing choice based conjoint (cbc) survey experiments and conduction power analyses.
• earmark: A Python command line tool that turns documents (PDF, DOCX, EPUB, ...) and article URLs into a private podcast feed, narrated locally with Kokoro-82M. No API keys, no per-minute cost.
• renderthis: Package for rendering media (e.g., xaringan slides) into multiple different formats. Co-authored with Garrick Aden-Buie.
• assess: A highly opinionated package I use for grading assignments for the courses I teach at George Washington University. It is not necessarily designed for others to use (there isn’t much careful documentation), but you’re welcome to use it if it’s helpful for you!

• vehicletrends: An R data package containing tidy formatted summary data on vehicle trends in the United States. The primary data source is vehicle listings from marketcheck.com, which have been processed into summary statistics including depreciation curves, mileage accumulation, market concentration, and share of listings breakdowns. For a live dashboard of the data, visit vehicletrends.us.
• oica: An R data package containing tidy formatted data on vehicle production and sales from the Organisation Internationale des Constructeurs d’Automobiles (OICA) (English Name: “International Organization of Motor Vehicle Manufacturers”). The data are also merged with standard country / area codes come from the United Nations Statistics Division.

• Quarto lexis template: My highly opinionated template for Quarto revealjs slides.

• vehicletrends.us: This site is an ongoing project designed to make publicly available information about trends in the U.S. automotive market. The site pulls together a variety of data sources to reveal trends. See the about page for more details on the data sources and calculations.
• charts: A bunch of various charts.
• quarto-dashboard: A demo site of how I use the Quarto website framework to build interactive, serverless websites.
• Data Centers vs. States: Dashboard comparing power from select data centers to that of entire U.S. states.
• POTUS Econ Scorecard: An interactive web app that compares economic performance indicators across different presidential administrations.

• EMSE 4571: Intro to Programming for Analytics: A course on the fundamentals of programming and computational thinking in R.
• EMSE 4572: Exploratory Data Analysis: A course on the foundations in exploring and visualizing data in R.
• EMSE 6035: Marketing Analytics for Design Decisions: A course on analyzing consumer choice data in R to inform design decisions in an uncertain, competitive, market.
• R for Analytics Primer: A self-guided tutorial for developing a foundation in programming in R for data analysis, including data input/output, data wrangling, and data visualization using the Tidyverse.

• GW Coders: A community organization co-founded by myself and Ryan Watkins that brings together students and faculty to apply computational and data analytics skills in research.
• The Distillery: A distill blog and showcase about building distill websites and blogs.

• splitKbCompare: An interactive tool for comparing layouts of different split mechanical keyboards.
• Wireless Corne: Build log and photo gallery for my Wireless Corne keyboard.
• Iris Rev 2: Build log and photo gallery for my Iris Rev 2 keyboard.

• magaScreener: This tool allows you to analyze documents for MAGA-targeted keywords or an uploaded list of keywords. It is useful to help identify words that might get screened by an entity (e.g., the federal government) so you can modify your language accordingly. Just upload a document, and the app will count occurrences of the keywords. Everything runs in the browser.