How to Use AI for Your Literature Review: From Finding Papers to Synthesis
A high-quality literature review is one of the most important — and most demanding — elements of academic research. In addition to navigating the sheer volume of publications, conducting a review that is truly rigorous, well-organised, and reflective of your own scholarly voice and critical thinking remains an ongoing challenge.
In this webinar, we will explore how artificial intelligence, with a specific focus on SciSpace, can support researchers in conducting more thorough, better-structured literature reviews — without replacing the critical judgment that is at the heart of good scholarship. The session focuses on practical methods for identifying relevant research, extracting meaningful insights, and synthesising evidence in a way that strengthens your understanding of the field rather than bypassing it.
Rather than treating AI as a shortcut, we will demonstrate how it can be integrated into a systematic research workflow as a powerful thinking partner — one that enhances your capabilities and frees up your cognitive energy for the work that matters most: analysis, interpretation, and original thought.
In this session, you will learn how to:
Discover relevant research papers more thoroughly and efficiently using AI
Analyse and understand academic papers with greater depth and confidence
Identify key theories, concepts, and research gaps in your field
Organise and synthesise literature into a well-structured, rigorous review
Use AI responsibly, in ways that strengthen your scholarly skills
Build the habits and capabilities of an independent, confident researcher
This session is designed to give you practical workflows you can apply immediately, while deepening your understanding of the field and building the independent research skills that no AI tool can replace.