Navigating Qualitative AI: Ethical, Methodological and Practical Considerations - Module 2: Harnessing Generative-AI tools for qualitative analysis - Online
Date:
12/10/2026 - 13/10/2026
Organised by:
NCRM, University of Southampton
Presenter:
Dr Christina Silver, PhD. SFHEA, FAcSS
Level:
Intermediate (some prior knowledge)
Contact:
Jacqui Thorp
Training and Capacity Building Coordinator, National Centre for Research Methods, University of Southampton
Email: jmh6@soton.ac.uk
Venue: Online
Navigating Qualitative AI: Ethical, Methodological and Practical Considerations
This course provides an introduction into developments, debates and practicalities in the role and use of Generative AI in Qualitative Research. The course is split into three modules combining synchronous and asynchronous learning to provide a comprehensive introduction to the principles, practices and ethics of using AI tools to facilitate the analysis of qualitative materials.
Module 1: Mindsets for considering the use of AI for Qualitative Research
Module 2: Harnessing Generative-AI tools for qualitative analysis
Module 3. Integrating Generative-AI tools into qualitative analysis processes
Choose from three pathways through the course according to your interests and needs (note, to take Module 2 or 3 it is a pre-requisite to have first completed Module 1):
- Pathway 1 – Module 1 only
- Pathway 2 – Module 1 and 2
- Pathway 3 – Module 1 and 3
Module 2. Harnessing Generative-AI tools for qualitative analysis
(Synchronous Delivery = hands-on guided exercises using selected tools, and discussion)
This module comprises demonstrations and hands-on exercises using selected 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. The tools-focus in this module is on general-purpose Generative-AI tools and new online Apps designed for GenAI-driven qualitative analysis.
The course covers:
Using general-purpose Generative-AI tools - 12 October 2026 (13:30-16:45)
- Overview of the capabilities of general-purpose Generative-AI tools
- Hands-on exercises following process of Query-Based Analysis (Morgan 2025)
- Chatbots – e.g. ChatGPT, Claude, Gemini etc.
- AI Research Assistant platforms – e.g. Notebook LM
Generative-AI driven analysis with bespoke online Apps - 13 October 2026 (13:30-16:45)
- Overview of the capabilities of bespoke online Apps for qualitative analysis
- Hands-on exercises using Reveal platform (analysis of transcripts)
- Hands-on exercises using Blix platform (analysis of open-ended survey responses)
By the end of the course participants will:
- Understand the potential uses 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
This course is aimed at students and researchers interested in qualitative analysis, within any sector or discipline. Participants must have attended Module 1 in order to attend this module.
The course takes place over two afternoons and equates to one teaching day for payment purposes.
Cost:
The fee per teaching day is:
• £60 per day for students registered at any University.
• £150 per day for staff at academic institutions, Research Councils researchers, public sector staff and staff at registered charity organisations and recognised research institutions.
• £350 per day for all other participants
All fees include event materials and morning and afternoon refreshments. Fees do not include lunch, travel or accommodation costs.
In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date.
If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of its cancellation of a course, including but not limited to any travel or accommodation costs.
The University of Southampton’s Online Store T&Cs also continue to apply.
Website and registration:
Region:
South East
Keywords:
Qualitative Data Handling and Data Analysis, Qualitative Software, Qualitative AI, Qualitative Data Analysis, Qualitative methods, Artificial Intelligence (AI), Generative AI
Related publications and presentations from our eprints archive:
Qualitative Data Handling and Data Analysis
Qualitative Software
