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The impact of scientific networks, affinity bias and scientific uncertainty on the public uptake of science (1.0.0)

Ferrari, S., Lammers, W., Wenmackers, S. (forthcoming) How the structure of scientific communities could impact the public uptake of uncertain science. Philosophy of Science.

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The impact of scientific networks, affinity bias and scientific uncertainty on the public uptake of science 1.0.0

Submitted by Sacha Ferrari Published Jan 23, 2025 Last modified Jan 23, 2025

Ferrari, S., Lammers, W., Wenmackers, S. (forthcoming) How the structure of scientific communities could impact the public uptake of uncertain science. Philosophy of Science.

Release Notes

First commit

Cite this Model

Sacha Ferrari (2025, January 23). “The impact of scientific networks, affinity bias and scientific uncertainty on the public uptake of science” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/a0db6176-e1a4-4450-ac7e-a6cd78b9b235/releases/1.0.0/

Replication of a previously described model

Zollman, K. J. (2007). The communication structure of epistemic communities. Philosophy of science, 74(5), 574-587.

References

Ferrari, S., Lammers, W., Wenmackers, S. (forthcoming) How the structure of scientific communities could impact the public uptake of uncertain science. Philosophy of Science.

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Contributors
Sacha Ferrari
DOI
No assigned DOI
Model Version
1.0.0
License
GPL-3.0
Programming Language
Python
Software Framework
Jupyter Notebook Python
Operating System
Windows
Publish Date
Thursday, January 23, 2025
Last Updated
Thursday, January 23, 2025
Downloads 3
Peer Review
Unreviewed
Version Submitter First published Last modified Status
1.0.0 Sacha Ferrari Thu Jan 23 18:33:24 2025 Thu Jan 23 18:33:24 2025 Published

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