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Slide outline

  1. Motivation — why study synthetic biology innovation trajectories?
  2. Research question and hypotheses
  3. Data — papers, patents, iGEM projects, and parts
  4. Methods — embeddings, UMAP, HDBSCAN
  5. Results — semantic clustering across artifact types
  6. Case study — carbon capture in synthetic biology
  7. City-level patterns
  8. Discussion and limitations
  9. Implications