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:
- Train statisticians and data scientists to become interdisciplinary collaborators
- Provide research infrastructure to enable and accelerate quantitative research around the campus community
- 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 (via Zoom for the Fall 2020 semester).
Update (8/18/2020): We are offering Zoom-in services for Fall 2020! LISA hosts a research service called "LISA Statistics and Data Science Zoom-in Hours" with the Center for Research Data and Digital Scholarship (CRDDS) on Tuesdays 12-1PM and Thursdays 12-2PM when classes are in session (Aug. 25 - Dec 3, 2020, excluding Fall Break). You may make request this service on Tuesdays (noon-1PM) and Thursdays (noon-2PM) by filling out a short survey.
The Zoom link for Tuesdays' Interdisciplinary Data Consult Hours from noon-1PM will be sent to those completing this survey/form.
Zoom-in to discuss your domain problem and get solutions to the statistical issues you are facing. Consults are open to all researchers – from undergrad to faculty and beyond. Note: LISA assists with research, not class projects or homework.
This Spring 2020, LISA taught the "Statistics in Python Short Course Series". These two-hour short courses were on Wednesdays from 10AM-noon on January 22, January 29, and February 5. LISA co-taught a "Coding in R Workshop Series" with CRDDS and Research Computing to improve statistics and data science skills and increase statistical literacy generally. Recordings for the short courses are posted on our Short Course page.