Peer consulting program pairing trained undergraduates with UCLA researchers for data and computational support.
Role: Program lead Focus: Workforce development, research consulting capacity, student professional development
Overview
Consulting demand consistently exceeded what DSC staff could handle. Rather than hire more staff proportionally, we built a workforce development model that multiplies capacity while providing genuine professional development.
DataSquad trains undergraduates as research data consultants. The result is a program with dual impact: researchers get support, students get real experience.
What we built
We adapted the DataSquad model from Carleton College (pioneered by Paula Lackey) to UCLA’s scale and research profile:
- A recruiting and training pipeline for undergraduate consultants
- Tiered skill development across statistics, programming, data visualization, GIS, and 3D imaging
- Matching and project management infrastructure
- Integration with DSC consulting workflows and Redivis for restricted data projects
How it works
Students are recruited, trained in core tools (R, Python, SPSS, Stata, QGIS, Blender), and matched to research projects. They work alongside DSC staff on real consulting cases — not simulated exercises.
More complex or sensitive work stays with senior staff. Students build toward that level over time.
Outcomes
During the review period:
- 1,175 documented service interactions
- 190 consultations handled by DataSquad students (24% of total)
- 100% placement rate for a full cohort
- Students contributed to two 2024 Public Impact Research Award–winning projects
Collaborators
- Paula Lackey, Carleton College (model originator)
- UCLA Library colleagues
- Faculty research partners across disciplines