Overview:

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.

Why should you Attend: 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.

Areas Covered in the Session:

• NotebookLM basics: uploading multiple source types (PDFs, videos, notes), generating auto-study guides, audio overviews, and FAQs/timelines to keep summaries anchored to the original source material
• Exporting NotebookLM output for use in Claude: taking NotebookLM summaries into Claude Projects, and using verification prompts to ensure outputs stay grounded in your actual sources
• Building a research pipeline: identifying gaps across documents, brainstorming hypotheses, and building comparison tables from conflicting studies
• Advanced synthesis techniques: chaining across formats (audio ? text ? visuals via Artifacts), and citation chaining to dig deeper into a topic
• Practical applications: assembling thesis chapters, drafting grant narratives, collaborating with teams through shared notebooks, and following ethical disclosure practices

• Graduate Students
• Academic Researchers
• Policy Analysts
• Research Professionals
• PhD Candidates