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Related Experiment Video

Updated: Nov 28, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

Quantifying simultaneous innovations in evolutionary medicine.

Deryc T Painter¹, Frank van der Wouden², Manfred D Laubichler^3,4

¹School of Complex Adaptive System, Arizona State University, Tempe, AZ, 85281, USA.

Theory in Biosciences = Theorie in Den Biowissenschaften

|November 26, 2020

Summary

This summary is machine-generated.

Simultaneous innovations in evolutionary medicine often occur independently. This suggests new ideas emerge from a shared knowledge pool, not just local collaborations, highlighting collective behavior in scientific discovery.

Keywords:

Evolutionary medicine Independence Keyword extraction Novelty Simultaneous innovation

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Area of Science:

Evolutionary Medicine
Scientific Discovery
Innovation Studies

Background:

Understanding the origins of simultaneous innovations is crucial for comprehending scientific progress.
Previous research has not systematically investigated the independence of simultaneous innovations in specific scientific fields.

Purpose of the Study:

To systematically identify simultaneous innovations in evolutionary medicine.
To determine the extent to which these simultaneous innovations are independent of each other.
To analyze the geographical distribution of co-authorship networks for simultaneous innovative papers.

Main Methods:

Utilized a novel persistent keyword framework to identify innovations in a corpus of evolutionary medicine papers (2007-2011).
Examined citation and co-authorship metadata to assess the independence of simultaneous innovative papers.
Compared the geographical concentration of co-authors for simultaneous innovative papers versus non-innovative papers.

Main Results:

Identified 22 instances of simultaneous innovative papers within the analyzed corpus.
Found that 19 out of 22 simultaneous innovative papers occurred independently.
Co-authors of simultaneous innovative papers showed no greater geographical concentration than co-authors of non-innovative papers.

Conclusions:

Simultaneous innovations in evolutionary medicine largely arise independently.
The findings support the theory that innovative work draws from a collective, dispersed knowledge pool.
New scientific ideas can emerge concurrently across multiple locations with geographically distributed collaboration networks, indicating collective behavior drives innovation.