This workshop led by Ian Farmer will explore current possibilities for using AI in qualitative research – how human curiosity can combine with AI to recognise patterns, notice themes and generate deeper insights. It will cover visual and audio data analysis as well as deriving meaning from textual data. Cautions relating to ethics, bias and data privacy will be discussed, before considering where AI and qualitative analysis futures are heading. Examples of qualitative studies in which AI has been used will be shared.

About Ian Farmer:

A distinguished academic and industry professional, Ian Farmer has been at the forefront of technological innovation throughout his career. With an undergraduate degree from Monash University and a long tenure with the Mars corporation, Ian's expertise spans IT, business change, and emerging technologies across Australia and the Asia Pacific.

After 10 years in advertising and business consultancy, Ian's pursuit of knowledge led him back to academia, where he recently submitted his research master's in feedback literacy.

Now teaching in FEIT and Business at UTS and UNSW, Ian's focus on leveraging technology for better student experiences makes him an authoritative voice in the field of AI and higher education.

This is the ninth workshop in the Qualitative Data Analysis series for 2023, led by Dr Nick Hopwood and Dr Erin Turbitt. It will be held both online and in-person, and it may be recorded.

If you are interested in further workshops in the series, check out the offerings below:

Me, the data, and theory - 14 February 2023
Understanding Thematic Analysis - 14 March 2023
Diverse Approaches to QA Panel - 4 April 2023
How we show the value of Qual Res: Post-qualitative - 16 May 2023
How we show the value of Qual Res: Numbers - 13 June 2023
Project Dive 1 - 11 July 2023
Project Dive 2 - 15 August 2023
Project Dive 3 - 12 September 2023
Revolutionising Qualitative Research through AI - 17 October 2023

This is a UTS Aspire event. UTS Aspire is a program of pan-university research development opportunities led by the Research Capability and Development Team.