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The HoneyComb Paradigm for Research on Collective Human Behavior
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Choosing experiments to accelerate collective discovery.

Andrey Rzhetsky1, Jacob G Foster2, Ian T Foster3

  • 1Departments of Medicine and Human Genetics, University of Chicago, Chicago, IL 60637; Computation Institute, University of Chicago and Argonne National Laboratory, Chicago, IL 60637; Institute of Genomic and Systems Biology, University of Chicago, Chicago, IL 60637; arzhetsky@uchicago.edu jevans@uchicago.edu.

Proceedings of the National Academy of Sciences of the United States of America
|November 11, 2015
PubMed
Summary
This summary is machine-generated.

Scientists often choose safe research problems, which hinders overall scientific progress. Increased risk-taking and publishing failures could significantly accelerate discovery and improve knowledge exploration.

Keywords:
complex networkscomputational biologyinnovationscience of sciencesociology of science

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Area of Science:

  • Biomedical research
  • Network science
  • Scientometrics

Background:

  • Individual research problem selection impacts scientific careers and the overall direction of discovery.
  • Understanding these choices is key to optimizing scientific progress.

Purpose of the Study:

  • To infer and quantify the efficiency of research problem selection strategies.
  • To identify alternative strategies for more efficient scientific discovery.

Main Methods:

  • Representing research problems as links in a knowledge network.
  • Developing a generative model of discovery based on network properties (entity importance, problem difficulty).
  • Analyzing millions of publications and patents over 30 years.

Main Results:

  • The typical strategy involves conservative choices, focusing on well-known molecules, becoming more conservative over time.
  • This strategy is efficient for initial exploration but inefficient for overall scientific advancement.
  • Alternative strategies, involving higher risk-taking and publishing failures, were found to be much more efficient.

Conclusions:

  • Current research practices, while supporting individual careers, limit the pace of scientific discovery.
  • Institutional changes in funding, evaluation, and publication are needed to encourage more efficient and risk-tolerant research strategies.