Document Type
White Paper
Publication Date
5-2-2022
Pages
25 pp.
Abstract
I propose a method for tracking and assessing scientific progress using a prediction consensus algorithm designed for the purpose. The protocol obviates the need for centralized referees to generate scientific questions, gather predictions, and assess the accuracy or success of those predictions. It relies instead on crowd wisdom and a system of checks and balances for all tasks. It is intended to take the form of a web-based, searchable database. I describe a prototype implementation that I call Ex Quaerum. The main purpose of the present document is to motivate the project, to explain it's underlying philosophy, to explain the details of the consensus protocol on which it is based, to describe plans for its future development, and ultimately to attract additional collaborators.
Rights
© 2022 The Author. All rights reserved.
Included with the kind written permission of the author.
Original Publication Citation
Rogers, T. C. (2022). A self-regulating system for assessing scientific predictive power [White paper]. Old Dominion University College of Sciences. https://cs.odu.edu/~cpi/old/411/yellos22/proposaldoc.html
ORCID
0000-0002-0762-0275 (Rogers)
Repository Citation
Rogers, Ted C., "A Self-Regulating System for Assessing Scientific Predictive Power" (2022). Physics Faculty Publications. 944.
https://digitalcommons.odu.edu/physics_fac_pubs/944
Included in
Scholarly Publishing Commons, Technology and Innovation Commons, Theory and Algorithms Commons
Comments
411 Yellow: Ex Quaerum Whitepaper.