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 you should 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