
June 2025 Live Online Short Course
Generative-AI for Qualitative Research
Dr. Christina Silver
Session I: June 2-5 | 10:00 AM EDT – 3:00 PM EDT
Course Description
The CARMA Generative-AI for Qualitative Research course provides both a theoretical and practical understanding of the rapidly developing field of Qualitative-AI. The course begins by mapping the landscape of AI in relation to qualitative research processes, covering the principles, practices and ethics of using these technologies throughout the analytic workflow. This includes both traditional and generative-AI. A range of tools designed to facilitate qualitative research that harness AI in different ways are introduced and students have the opportunity to experiment with a selection of them, using sample data and their own research materials, if appropriate.
The emphasis of the course is to critically reflect on the potential role and appropriate use of AI-tools. Ethical issues are central, along with how to document the use of AI transparently, and best practices for integrating AI with human interpretation in qualitative studies. We also discuss the future of qualitative research in the generative-AI world, reflecting on the impact on methods of these technologies.
Students will leave the course with a clear understanding of the implications of employing AI in qualitative studies and with practical experience of several tools. The qualitative AI space is evolving quickly, so the tools focused on during this course are subject to change, depending on what is available at the time of the course, but will include tools from across the qualitative-AI space. Students will have free access to all the tools used for the purpose of the course, and will be provided access ahead of the first sessions.

Meet the Instructor
Christina Silver, PhD, is a researcher and facilitator of qualitative data analysis methods and digital tools, specializing in all the major programs, including ATLAS.ti, CoLoop, Dedoose, Discovertext, f4analyse, MAXQDA, QDA Miner, Qualrus, NVivo, and Transana.
She is Associate Professor (Teaching) in the Department of Sociology at the University of Surrey, where she is also Director of the CAQDAS Networking Project which since 1994 has raised awareness and built capacity in the use of qualitative software amongst the global social research community. She is also Co-Director of the department’s Short Courses in Social Research programme.
Christina also undertakes research, training, and consultancy via QDA Services and is co-author of Using Software in Qualitative Research: A Step-by-Step Guide (SAGE 2014), and Qualitative Analysis Using ATLAS.ti / MAXQDA / NVivo: The Five-Level QDA® Method (Routledge 2018). Christina has trained many thousands of researchers and students in qualitative methods/software since 1998.