We’re a team of over 100 Skribbl.io enthusiasts, teaching fellows, ggplot experts, and design nerds. We welcome anyone who’s excited about making Harvard a more transparent place.
We run a completion-based comp during both the fall and spring semesters with dedicated tracks for all experience levels. Past members have used machine learning to analyze the Harvard Art Museums, tracked laundry machine usage patterns, and investigated faculty political donations.
If you’d like to join HODP, let us know by filling out the interest form. For questions or comments, email us at email@example.com.