Embedding Large Language Models (LLMs) into qualitative research workflows

Qualitative research often  involves analysing large amounts of information, which can be very  time-consuming. Building on concepts showcased in the Introduction to AI-assisted workflows for qualitative analyses workshop, participants will build an AI-assisted workflow, leveraging Large  Language Models (LLMs) to extract features and identify themes in text  and image collections. These techniques enable you to scale up your analyses and derive insights from large collections of text and image data.

For all researchers, staff and research students, and research support staff.

Mode of delivery: Online

Dates:

• Tuesday 14 April
• Tuesday 6 October
  

• Build an LLM-assisted research workflow to aid analyses of qualitative data. 
• Practice effective prompting techniques to prepare, label, and analyse unstructured text and images.
• Identify and mitigate key ethical risks, such as biases and hallucinations. 
• Critically evaluate and interpret the outputs of LLM-assisted analysis methods.
  

Workshop materials will be made available after the workshop.

• Researchers and postdoctoral students are encouraged to engage with their peers by joining Hacky Hour to post questions and exchange ideas, and to contact Centre for eResearch (CeR) staff.

Research Data Support Services
Email: researchdata@auckland.ac.nz

Kyle Hemming
Senior eResearch Engagement Specialist, Centre for eResearch
Email: kyle.hemming@auckland.ac.nz