In this session, we'll explore how to transform the often-tedious grant-writing process by using Google NotebookLM as a strategic 'grant-alignment engine'. You'll learn how to leverage source-grounded AI to identify structural gaps in your research narratives, ensuring that they align perfectly with specific agency requirements – such as the NSF's 'Broader Impacts' or 'Socio-technical Integration' criteria. We'll practise using NotebookLM to perform a meticulous gap analysis between your draft abstracts and complex RFPs, helping you refine your terminology and framing to meet reviewer expectations without sacrificing the intellectual heart of your research.
Begin by working through the learning materials. Then take the short quiz to earn a completion badge.
Profile of an AI-ready graduate
The profile identifies six core roles that students should be comfortable taking on – with AI – to maximise their human potential. As you engage with this course, think about ways that you can model AI usage to show students how to work with AI creatively, thoughtfully and strategically. Click here to learn more.