Open Source for Open Science Workshop 2026
Welcome to Ecology & Evolutionary Biology’s (EEB) page for our popular Open Source for Open Science (OSOS) workshop. This year’s workshop is August 29-30 in the ILSB Auditorium on the Texas A&M University campus.
Thank you to the Good Bull Fund and the Texas A&M Institute of Data Science (TAMIDS) for their financial support!
About
OSOS is a free two-day workshop which introduces participants to the use of free, open-source tools for data analysis, statistical analysis and visualization, particularly via the statistical programming language R. No previous experience with programming or statistics is required or expected.
Graduate students can earn 1 credit hour by registering for EEBL 612 for the Fall 2026 semester. This must be completed by August 21.
While OSOS is aimed at new graduate students in the life sciences, the event is open to all, including undergraduates, faculty, staff, etc. as long as they RSVP. Many previous attendees have found the OSOS workshop to be a great introduction to a new world of programming and data analysis, and many others have found it to be a great refresher of already acquired skills.
Registration
View/download registration flyer
Click here to register for OSOS 2026
or
Scan the QR code below.
Course Links
Module 1: Introduction to R & Rstudio | Etherpad Google Drive
Module 2: Managing Data & Tables in R | Etherpad Google Drive
Module 3: Beginner Graphics in R | Etherpad Google Drive
Module 4: Publication Graphics using ggplot2 & tidyplots | Etherpad Google Drive
Module 5: Data Analysis & Statistics in R, the Beginning | Etherpad Google Drive
Module 6: Data Analysis & Statistics in R, the Sequel | Etherpad Google Drive
Module 7: Navigating Your Operating System by Command (Unix Shell / Bash) | Etherpad Google Drive
Module 8: Branch & Batch: Programming in R | Etherpad Google Drive
Module 9: Checking Your Robot Partner’s Homework: Programming with AI | Etherpad Google Drive
Specialized Cheat Sheets
Schedule
| Day 1: Saturday, August 29, 2026 | |
| 8:00 a.m. | Doors Open |
| 9:00 a.m. – 10:50 a.m. | Module 1: Introduction to R & Rstudio – Emmarie Alexander |
| 11:00 a.m. – 12:30 p.m. | Module 2: Managing Data & Tables in R – Leonardo Collazos |
| 12:30 p.m. – 1:30 p.m. | Lunch |
| 1:30 p.m. – 2:50 p.m. | Module 3: Beginner Graphics in R – Adekola Owoyemi |
| 2:50 p.m. – 3:05 p.m. | Coffee break |
| 3:05 p.m. – 5:00 p.m. | Module 4: Publication Graphics using ggplot2 & tidyplots – Destiny Mullens |
| 5:00 p.m. | End of Day 1 |
| Day 2: Sunday, August 30, 2026 | |
| 8:00 a.m. | Doors Open |
| 9:00 a.m. – 10:20 a.m. | Module 5: Data Analysis & Statistics in R, the Beginning – Pradip Sapkota |
| 10:30 a.m. – 12:00 p.m. | Module 6: Data Analysis & Statistics in R, the Sequel – Matthew Marano |
| 12:00 p.m. – 1:00 p.m. | Lunch |
| 1:00 p.m. – 2:20 p.m. | Module 7: Navigating Your Operating System by Command (Unix Shell / Bash) – Elek Nagy |
| 2:30 p.m. – 3:50 p.m. | Module 8: Branch & Batch: Programming in R – Nadya Kandel |
| 3:50 p.m. – 4:10 p.m. | Coffee break |
| 4:10 p.m. – 5:30 p.m. | Module 9: Checking Your Robot Partner’s Homework: Programming with AI – Trevor Millar |
| 5:30 p.m. | End of Day 2 |