This new tutorial introduces an AI-driven workflow for conducting literature reviews, outlining how AI tools can streamline the traditionally time-consuming process of surveying existing research. It highlights that literature reviews are essential for identifying research gaps, contextualizing studies, and avoiding redundancy, and notes that AI-powered assistants can support brainstorming research ideas, summarizing findings, and drafting initial reviews.
The tutorial walks researchers through using the “Interactive assistant” AI Action to generate structured queries, obtain tailored summaries, and propose workflows aligned with specific research topics. It describes interactive steps such as exploring potential research gaps, requesting semantic searches, and leveraging citation networks to map influential works and relationships within the field. Additionally, it shows how to customize AI Actions for purposes like grant proposals or drafting paper ideas, empowering scientists to overcome initial hurdles and uncover novel insights efficiently.
Read the full tutorial: How to start a literature review using AI.
