pith:LKWCACME
Structural Diversity Drives Disruptive Scientific Innovation
Structural diversity in teams predicts and drives disruptive scientific innovation.
arxiv:2605.12514 v1 · 2026-04-02 · cs.SI · cs.CV · cs.CY · cs.DL · stat.AP
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Claims
SD is a powerful and robust predictor of disruptive innovation, outperforming traditional team novelty indicators such as team freshness and edge density. Moreover, SD positively interacts with team size and is able to mitigate the well-known 'curse of scale' by transforming scale from a liability into a resource for creative synthesis.
The quasi-natural experiment based on the 2012 NSF policy change validly isolates the causal effect of structural diversity without residual confounding from unobserved team or field characteristics, and that the operational definition of 'distinct knowledge communities' from the collaboration network is stable and not sensitive to clustering choices.
Structural diversity in a team's prior collaboration network predicts disruptive scientific innovation more strongly than team freshness or edge density and turns large team size from a liability into an advantage via better disciplinary integration.
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| First computed | 2026-05-18T03:10:02.936150Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/LKWCACMELG2BONKNV2INDPZAJH \
| jq -c '.canonical_record' \
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# expect: 5aac20098459b417354dae90d1bf2049c0f5c622c2cf1aa00901375090ce4021
Canonical record JSON
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