AI-assisted Qualitative Data Analysis: Harnessing Tools Appropriately – Oct. 28, 2025
Session Description
October 28 2025 @ 10:30 am - 12:00 pm
This session comprises demonstrations of a selection of AI tools for Qualitative Data Analysis, and discussion about their potential for research and evaluation. Using sample data, we consider a series of analytic tasks and methodological implications of use in different contexts, with different types of data and at different stages in the analytic process.
- Generative-AI capabilities and their application to Qualitative Research
- Automated Transcription
- AI Summaries
- AI coding and code suggestions
- Conversing with qualitative texts and coded data
- Demonstrations of three tools chosen to illustrate variety in capabilities
- MAXQDA – example of Gen-AI integrations into established suite of analysis tools
- Reveal – example of Gen-AI App for Qualitative Analysis – participant-based data
- AILYZE – example of Gen-AI App for Qualitative Analysis – variety of Qualitative Data
- Keeping the human in the loop using AI tools for Qualitative Research
- Integrating the use of GenAI features in the analysis process
- Pros and Cons of using general-purpose vs. bespoke AI tools for Qualitative Analysis
- Next steps in planning for the use of AI tools
Speaker: Dr. Christina Silver, Associate Professor (Teaching), Dept of Sociology, University of Surrey; Founder & Director, Qualitative Data Analysis Services (QDAS)
Intended audience: Researchers at any stage of their career with an interest in Qualitative Research
Learning Objectives
- Build awareness of the use of AI tools at different stages of the qualitative analysis workflow
- Understand the methodological consequences of using AI tools (potentials and risks)
- Identify skills in harnessing AI tools in ways that enable human-centred approaches
Additional Information
Note: This session is Part 2 of a two-part webinar series on using AI in qualitative research.
- Register or watch the recording for Part 1, which will take place on October 21st 2025 (UTORid login required to register)
- Recordings of Part 1 and Part 2 will be available after each session (UTORid login required to access the recording)
Technology requirements: This session is webinar-style comprising demonstration and discussion and therefore no specialized technology is required.