This session walks through a connected workflow: using NotebookLM to upload and organize source material into interactive notebooks complete with summaries, FAQs, and audio overviews, then bringing that output into Claude to develop insights, run cross-comparisons, test hypotheses, and build artifacts like comparison matrices. The approach is geared toward US academic and professional research contexts - literature reviews, policy briefs, and similar work - with a strong emphasis on verification and proper source attribution throughout.
If you're buried in disorganized notes and AI-generated summaries you can't fully trust, while others around you are producing tightly sourced, defensible research briefs, this session addresses that gap directly. As 2026 funding increasingly favors data-rigorous proposals, and familiarity with tools like these becomes an expected baseline in hiring, relying on manual, solo research methods carries real risk - flawed insights, weaker grant outcomes, and slower progress in an increasingly source-heavy research landscape.
Unlimited Viewing Recorded Version for 6 months ( Access information will be emailed 24 hours after the completion of live webinar)