GenAI across data and analysis
GenAI in Academic Research: Tools, Ethics, and Good Practice—a 4-part workshop series for graduate students
Graduate students from both Memorial University and Athabasca University are invited to participate in an updated multi-session workshop series that helps graduate researchers thoughtfully integrate GenAI into their work.
Explore how GenAI can support different stages of the research process, from idea generation, literature review, to data analysis and writing, and experiment with tools for working with scholarly literature and data. Participants are invited to reflect on professional responsibilities, emerging institutional expectations, and the implications of GenAI use for students, supervisors, and reviewers.
The workshop sessions are hosted by AU's Faculty of Graduate Studies and will be facilitated in Microsoft Teams by Dr. Eliana El Khoury, AU Faculty of Humanities & Social Sciences.
Session 3: GenAI across data and analysis
In this session, we will look at how GenAI can support different stages of empirical work. We will identify which parts of data collection, cleaning, modelling, visualisation, and early results drafting might safely benefit from GenAI support, and which require more traditional approaches or closer oversight. We will experiment with prompts and tools on example datasets, and we will reflect on what good practice looks like when we combine human judgement with automated assistance.
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