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), Department 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
Registration
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