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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 is the 91ÃÛÌÒ¸ó 91ÃÛÌÒ¸ó’sÌýLaboratory 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 91ÃÛÌÒ¸ó 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 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 aÌýÌýto meet with aÌýLISA collaborator. LISA is closed for the Summer and will re-open for the Fall 2026 semester. Submit your collaboration requests on or after August 20, 2026.ÌýCollaborations are open to faculty, staff, students, and select community members.

Because funding from CRDDS has run out, LISA will no longer be co-hosting a research service called "Interdisciplinary Data Consulting Hours" with the Center for 91ÃÛÌÒ¸ó Data and Digital Scholarship (CRDDS). Consider submitting a collaboration request as a replacement for visiting the consulting hours. Note: LISA assists with research, not class projects or homework.

LISA, via its partnership withÌýCRDDSÌýand 91ÃÛÌÒ¸ó Computing, taughtÌýtheÌý"" to improve statistics and data science skills and increase statistical literacy generally. Click on the to access past short course recordings and materials from our Short Courses page.

Review our policies and with a LISAÌýstatistical collaborator.

LISA Posters of Sample Projects
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PlayO2I – A better method for collecting data on children
Using permutation tests to find outliers in oscilloscope calibration readouts
LISA's research collaboration on Voles
Using spatial statistics to characterize the distribution of Osteocytes in Knee Bone
Colony habits of cliff swallows
Soil Classification via Random Forest
Understanding the African Diaspora: Modeling the Fall of the Oyo Empire
How does living in captivity affect the cranial morphology of Malagasy lemurs?
LISA helps CU researchers benefit from applying Statistics and Data Science