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 LISA collaborator. Due to lack of funding, changes in curriculum within the Applied Math department, and LISA Director Dr. Eric Vance's Fulbright research sabbatical in Indonesia, LISA is running at low capacity for the 2023-24 academic year. We are still accepting collaboration requests. Collaborations are open to faculty, staff, students, and select community members.

Thanks to funding from CRDDS, LISA is resuming its co-hosting of 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 (when non-summer classes are in session). Walk-in Hours 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 (the hours and links below might not be correct for the 2023-24 academic year, check the CRDDS website linked elsewhere):

  • 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 2023 and Spring 2024, LISA is resuming its partnership with CRDDS and Research Computing to teach the "Coding in R Workshop Series" to improve statistics and data science skills and increase statistical literacy generally. The series will resume (maybe it will be renamed) in Fall 2023. Recordings of past semester's short courses are linked from our Short Course page.

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

LISA Posters of Sample Projects