
The R Users Group at Bucknell, rugB (pronounced “rugby”), brings together members of the Bucknell Community to discuss all things data and R-related. All (students, faculty, staff, alums) are welcome and no prior R experience is required! Sign up below to be invited to attend our monthly meetings and added to the rugB channel of the bucknell-data-science Slack Workspace.
September 16th, 2026, 12:00 – 12:50pm – Welcome, Yearly Planning, and Data Viz Discussion, Taylor 212
October 21st, 2026, 12:00 – 12:50pm – Intro to Data Viz with ggplot2, Taylor 212
November 18th, 2026, 12:00 – 12:50pm – Topic coming soon, Taylor 212
March 25, 2026 – R Show and Tell with Austin Carroll, Kacy Alejo-Rios, Sienna Henry, and Rebecca Beneroff
February 10, 2025 – Code a Valentine in R
September 22nd, 2025 – Scrollytelling with Closeread with Sara Stoudt
October 15th, 2025 – Data in R
November 7th, 2025 – Vignettes with Guest speaker, Chester Ismay
April 17th, 2025 – Interfaces, IDEs, and environments that you can use with R
March 20th, 2025 – LLMs and R with Keegan Kang
February 11th, 2025 – Code a Valentine in R
November 21st, 2024 – Demos on Engaging with Music and Text Data in R with Sara Stoudt and Todd Suomela
October 23rd, 2024 – R Tutorials on git/GitHub and R Packages with Ken Field
September 25th, 2024 – R Hacks
Co-facilitators: Kelly McConville and Abby Flynt
Co-sponsored by the Department of Mathematics and Statistics

The Data Science and AI Staff Group is a collaborative community connecting staff across Bucknell. Meeting two to three times per semester, the group explores how data, analytics, and artificial intelligence supports Bucknell’s administrative workflows and institutional operations. Please fill out the interest form below if you’d like to join the group.
August 21st, 2026, 12:00 – 12:50pm – Welcome and EAB Presentation, Taylor 212
Next fall meetings coming soon!
Co-facilitators: Kelly McConville and Kevork Horissian
Co-sponsored by the Office of Institutional Research & Analytics

The Academics and AI Community of Practice discusses navigating AI in pedagogy. During our monthly meetings, members discuss ways they are redesigning pedagogical and assessment practices and share practical classroom strategies related to AI. All faculty and staff are welcome, regardless of experience level or stance on AI. Please fill out the interest form below if you’d like to join the group.
Details coming soon! If you would like to join this group, please fill out the interest form above.
Co-facilitators: Kelly McConville and Crystal Donlan
Co-sponsored by Library Services