Flat Teams Drive Scientific Innovation
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Abstract (arXiv)
With teams growing in all areas of scientific and scholarly research, we explore the relationship between team structure and the character of knowledge they produce. Drawing on 89,575 self-reports of team member research activity underlying scientific publications, we show how individual activities cohere into broad roles of (1) leadership through the direction and presentation of research and (2) support through data collection, analysis and discussion. The hidden hierarchy of a scientific team is characterized by its lead (or L)-ratio of members playing leadership roles to total team size. The L-ratio is validated through correlation with imputed contributions to the specific paper and to science as a whole, which we use to effectively extrapolate the L-ratio for 16,397,750 papers where roles are not explicit. We find that relative to flat, egalitarian teams, tall, hierarchical teams produce less novelty and more often develop existing ideas; increase productivity for those on top and decrease it for those beneath; increase short-term citations but decrease long-term influence. These effects hold within-person -- the same person on the same-sized team produces science much more likely to disruptively innovate if they work on a flat, high L-ratio team. These results suggest the critical role flat teams play for sustainable scientific advance and the training and advancement of scientists.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Jan 2022.
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Citing papers per year: 2024: 1; 2025: 1; 2026: 3.
5 papers.
- 2024HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Predictioncited by 15
- 2026AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentationcited by 7
- 2026Agentic AI and the next intelligence explosioncited by 6
- 2025The Effect of Gender Diversity on Scientific Team Impact: A Team Roles Perspectivecited by 1
- 2026Exploring the relationship between team institutional composition and novelty in academic papers based on fine-grained knowledge entitiescited by 0
- 2026Exploring the relationship between team institutional composition and novelty in academic papers based on fine-grained knowledge entities30 Jun 2026
- 2026AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation27 May 2026
- 2026Agentic AI and the next intelligence explosion21 Mar 2026
- 2025The Effect of Gender Diversity on Scientific Team Impact: A Team Roles Perspective29 Dec 2025
- 2024HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction10 Oct 2024