Erica Chiang

Cornell PhD researcher and Siegel PiTech PhD Impact Fellow who personally designed and ran the 2025-26 randomized controlled trial that nudged NYC eighth-graders toward high-performing high schools they were likely to be admitted to. First-listed author of the resulting paper on recommendation-induced congestion in capacity-constrained matching markets. Matters to this vault beyond shared co-authorship with entity-nikhil-garg: her own first-person PiTech spotlight piece describing the fall-2025 deployment ("we successfully deployed the system to about 500 eighth-grade students... as part of a randomized controlled trial") is itself a sourced primary this vault cites, giving her standing as the deployment's own author-operator, not merely a co-author on someone else's paper.

References

• claim-no-independent-source-corroborates-nyc-nudge-rct-zero-rejection-result
• claim-recommendation-induced-congestion-erodes-offer-likelihood-guarantees · claim-balanced-capacitated-nudging-guarantees-safe-and-near-optimal-matches · claim-nyc-school-nudge-rct-significant-ranking-suggestive-matching-increase
• Capture: 10-inbox/raw/2026-10-12-does-an-independent-source-corroborate-the-nyc-school.md