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.
LISA hosts a research service called LISA Statistics Walk-in Hours at the Center for Research Data and Digital Scholarship (CRDDS) in Norlin Library E206 on Tuesdays and Thursdays 12-2PM when classes are in session (August 27 - December 12, 2019, excluding Thanksgiving Week). Walk-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 Fall LISA will co-teach a "Coding in R Workshop Series" with CRDDS and Research Computing to improve statistics and data science skills and increase statistical literacy generally. Our schedule for this semester is posted on our Short Course page. Workshops started on September 4 and run from 10AM-noon every Wednesday until the end of the series on October 23. Immediately following is our "Statistics in Python Short Course Series". These two-hour short courses will be on Wednesdays from 10AM-noon on October 30, November 6, and November 13.