AI-enhanced Collaborative Qualitative Analysis with Atlas.ti Web

Term: Fall 2026

Date: October, 8th, 2026

Time: 12:00 to 3:00 p.m.

Location: Online Only.

Instructors: Nathaniel Porter

Presented By: University Libraries (LIB)

Description:

Learn to use the popular qualitative data analysis software Atlas.ti via its web version, which enables easy collaboration on projects. The workshop will cover basics of managing projects, coding, mixed-methods analysis tools, and some of the AI functionality embedded in Atlas.ti, as well as discussing additional features available in desktop versions for Windows and Mac.

Participants will need access to a computer with Atlas.ti (free trial available at https://atlasti.com/free-trial-versionLinks to an external site.) and will be asked to create a free researcher account on the Qualitative Data Repository to download the practice data.

 

Learning Objectives:

    Practice common qualitative workflows in atlas.ti.
    Evaluate collaboration options in qualitative research.
    Discuss the potential value of AI in qualitative research.