Reviewing the literature is one of the most intellectually demanding stages of research – it requires not only mapping what has been done but also making sense of where your work fits. Generative AI can support this process in ways that go beyond automation: helping you clarify your research focus, uncover connections across bodies of work, and experiment with different framings and theoretical angles.

This workshop introduces practical techniques for using GenAI to support – not replace – the critical thinking that a strong review demands. We’ll explore how to prompt effectively, how to evaluate and refine AI-generated outputs, and how to integrate GenAI into a workflow that maintains scholarly rigour.

Whether you’re just getting started or stuck in the middle of your review, this session will offer concrete tools to move your thinking forward.

Presented by Dr Maylis Saigot, Lecturer in the School of Business.

About Writing skills

The ability to write well is critical to success in your research degree and a ‘top 10’ skill sought by employers. Learning the strategies for good writing will help you write efficiently.  Knowing not only what to write, but how to write it for a particular audience, will help you communicate your research effectively.

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