Services

Collaboration

Our statistics and data science collaborators are trained to help design experiments, analyze and plot data, run statistical software, interpret results, and communicate statistical concepts to non-statisticians. Our assistance is free for University faculty, staff, and students on academic research projects. The collaborators are faculty and students in the Department of Applied Mathematics and other departments. The earlier in your research you request statistical advice, the better; so learn more about our collaboration service ´Ç°ùÌý. We are currently accepting requests for Fall 2025. During the Fall 2025 semester meetings may occur remotely via Zoom or similar technologies or in-person. Request an in-person meeting if that's your preference. 

Interdisciplinary Research Consult Hours

LISA is continuing our partnership with the Center for Research Data and Digital Scholarship (CRDDS) to conduct free Walk-in or Zoom-in hours to help researchers with statistics and data science every Tuesday noon-1PM and Thursday 1-2PM when classes are in session in the Spring and Fall semesters (not Summer).

  • Tuesdays, 12:00-1:00 pm in-person and via Zoom, Thursdays 1:00-2:00 pm Zoom only
  • If you would like to drop in on Tuesdays at Norlin E206, registration is not recommended but not required. Registration is required to receive the Zoom link for online consultations on Tuesdays and Thursdays. If you are unable to attend our consultation hours and would like to set up a call, email crdds@colorado.edu.

Walk-in or Zoom-in to discuss your domain problem and get solutions to the statistical issues you are facing. Visits are open to all researchers – from undergrad to faculty and beyond. Note: LISA assists with research, not class projects or homework.

Short Courses

For many years, LISA and CRDDS taught a "Coding in R Workshop Series" to help researchers (especially graduate students) use statistics and R in their research. Recordings and materials for past courses, including our "Statistics in Python" short course series, are available on the .