The SSCC’s Slurm cluster has become the place to run big research computing jobs. If you’re still running big jobs on Linstat, it’s time to start submitting them to Slurm instead (it’s easy to do). Linstat will focus on interactive work going forward. We are committed to making large-scale computing as accessible and easy to use as possible. The SSCC’s computing Guide to Research Computing at the SSCC is a great tool to guide you in using Slurm. The SSCC’s Statistical Consultants are also happy to answer questions and help you navigate using the new servers.
Supporting Statistical Analysis for Research
Support
The SSCC’s staff is here to answer your questions, help you use our services, and solve your computing problems. The SSCC Help Desk is your first point of contact whether you need help logging into Winstat, a fix for your computer, or statistical advice.
Computing Resources
The SSCC provides powerful Windows and Linux servers with the most popular statistical software, plus a secure computing environment for working with HIPAA and other sensitive data.
Statistics and Data Science
The SSCC’s statistical consultants provide consulting and training for social science researchers on statistical and data science topics. They’ve also created an extensive statistical computing knowledge base.
Getting Started
If you’re new to the SSCC, start here to request an account, set it up, and learn about what we provide.
Students and Instructors
If you’re taking a class that uses SSCC’s resources, you can use our computer lab or log in to servers from home. You can also get help using statistical software from our consultants. Instructors, start here to learn about our support for instruction, request accounts for your students, or sign up to use our computer classroom.
Solution Center
Problem with your computer? Need to set something up? Solution Center is your quick and easy guide to the most common problems SSCC members run into and their solutions.
Upcoming SSCC Events:
- January
- January 10Introduction to R1:00 PM
- January 13Introduction to Stata9:00 AM
- January 13
- January 17Data Wrangling in Stata 9:00 AM
- January 17Data Wrangling in R10:00 AM
- January 17Data Wrangling in Python 10:00 AM
- January 18
- January 18
- January 18
- January 19
