Designing AI-Assisted Qualitative Research Worklows

This one-day course will be offered via Zoom only. Attendance is required as it will not be recorded.

This interactive, hands-on workshop will introduce participants to a framework for considering the consequences of using generative AI in qualitative research designs and workflows (Paulus, 2023; Paulus & Lester, 2024). We will start by acknowledging inherent risks and ethical dilemmas posed by the development of large language models and how generative AI is challenging the essence of what it means to do qualitative work (Paulus & Marone, 2025; Paulus, Lester & Davis, 2025). We will learn how to distinguish between methodological strategies and technological tactics, i.e. why researchers must first know how they want to work with their data before choosing the best tools to do so (Woolf & Silver, 2018). We will then discuss the current ‘state of play’ regarding the various genres of AI-assist technologies available to qualitative researchers and how to select the most appropriate platform. We will then compare and contrast several AI-assist platforms for managing and analyzing qualitative data. Finally, we will discuss best practices for how to report the use of AI in research studies (Lester & Paulus, forthcoming) and how to reflexively consider the consequences of doing so. Sample interview data will be used for the practice exercises. Workshop time will alternative between short lectures and demonstrations, small group discussions, practical hands-on activities, and application of principles learned to the participants’ own research studies and data.

Registration and a refundable deposit for students is required to receive Zoom link. Deposit will be refunded upon attendance of course.

To learn more and register, click HERE.