GenAI 303 Qualitative Analysis

Generative artificial intelligence (GenAI) is one of the newest and most powerful tools in the researcher toolbox, however many researchers feel uncertain about the ethics and practicality of using GenAI for tasks such as literature searching, summarising, and manuscript writing.

This workshop series aims to build skills, knowledge, and capability among researchers in the use of GenAI. The series overall will cover:

• Introduction to GenAI in research, including types, benefits and limitations of GenAI models (e.g. ChatGPT, Claude, Microsoft Copilot; local models including Llama);
• GenAI for engaging with the literature and writing
• GenAI for qualitative and quantitative data analysis.
• Ethical considerations and limitations;
• Best practices for crafting effective AI prompts;

This session will focus on GenAI for Qualitative Data Analysis, what it can do, what it can’t do, and how to use it.

Lead Trainer: Dr Angus Fisk, Data Science Trainer, Sydney Informatics Hub (SIH)

Format: This is an online only session, held over Zoom

Prerequisites: Learners are HIGHLY recommended to attend SIH’s GenAI 101 workshop as content in this session will refer to the foundational concepts and principles covered in that module.

Who the workshop is for: This workshop is for Academic and ProfessionalStaff, research students, and affiliates of The University of Sydney (with a valid UniKey).

Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc

If you have any questions, please contact the training team at sih.training@sydney.edu.au

This workshop is part of a series of data science training events. If you'd like to hear when registrations open for other events, please subscribe to Sydney Informatics Hub newsletters.