Overview

The workshop equips participants with the knowledge and skills to leverage Generative AI (Gen AI) in the analysis phases of qualitative and quantitative research. Participants will explore AI-powered tools for data processing, statistical analysis, thematic coding, sentiment analysis, and data visualisation. The session includes practical demonstrations, hands-on exercises, and discussions on how to responsibly integrate AI into research while addressing ethical considerations, biases, and academic integrity. Participants will also gain insights into how Gen AI can assist in summarisation and pattern identification, enhancing the efficiency and accuracy of their research processes.

Learning outcomes

By the end of the workshop, participants will

• utilise AI tools for data analysis, including statistical computations, visualisation (e.g., charts, graphs), and thematic coding in both qualitative and quantitative research.
• apply Gen AI tools (e.g. Gemini & ChatGPT) to create custom Python scripts for statistical analysis and graphical visualisations of research data.
• employ AI-enhanced qualitative analysis software (e.g. QInsights, NVivo, MaxQDA) to conduct thematic analysis, generate visual representations (e.g. word clouds, thematic maps), and identify patterns in qualitative data.
• integrate AI-powered techniques into their research workflow while ensuring ethical compliance, recognising potential biases, and maintaining academic integrity.

Note:

• Participants are asked to bring their laptops.
• Hands-on scenarios will be included, but academics will be encouraged to employ the Gen AI tools introduced to their area of specialisation.