LISA is the University of Colorado Boulder’s Laboratory for Interdisciplinary Statistical Analysis (LISA). LISA is a statistical collaboration laboratory with a goal to increase the quantity and quality of statistics and data science applied to advance high-impact research at CU Boulder and expert decision making in the community.

LISA’s mission is to:

  1. Train statisticians and data scientists to become interdisciplinary collaborators
  2. Provide research infrastructure to enable and accelerate quantitative research around the campus community
  3. Engage with the community to improve statistical skills and literacy.

LISA trains statisticians and data scientists to communicate and collaborate with researchers to solve research problems and work with businesses and government agencies to make data-driven decisions. LISA statistical collaborators can help design experiments, studies, and surveys; collect, analyze, and plot data; run statistical software; interpret results; and develop strategies to communicate statistical concepts and results to non-statisticians.

LISA serves as research infrastructure by collaborating with researchers on campus on big and small projects that lead to a variety of outcomes such as co-authored publications, grant proposals, internal reports, preliminary data for future projects, theses and dissertations, etc. Submit a collaboration request to meet with a team of LISA collaborators (mostly via Zoom for the Spring 2023 semester). We are accepting requests for Spring 2022 projects until April 15, 2023. Please submit your collaboration request now. Collaborations are open to faculty, staff, students, and select community members.

LISA previously hosted a research service called "LISA Statistics and Data Science Walk-in/Zoom-in Hours" with the Center for Research Data and Digital Scholarship (CRDDS) on Tuesdays 12-1PM and Thursdays 1-2PM (Jan 17 - May 4, 2023, excluding Spring Break). LISA doesn't have the personnel or funding to continue that service, though this is a fluid situation that may change. An alternative to the walk in hours to discuss your domain problem and get solutions to the statistical issues you are facing is to submit a collaboration request to meet with a pair of LISA collaborators. When we have the Walk-in Hours, they are open to all researchers – from undergrad to faculty and beyond. Note: LISA assists with research, not class projects or homework.

For the Walk-in and Zoom in hours:

  • 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, no registration is 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

In Fall 2022, LISA has continued to teach the "Coding in R Workshop Series" in collaboration with CRDDS and Research Computing to improve statistics and data science skills and increase statistical literacy generally. The series started in October 2022. Recordings of this semester's short courses are linked from our Short Course page. A Spring 2023 workshop series is still to be determined.

Review our policies and request a meeting with a LISA statistical collaborator.

LISA Posters of Sample Projects