A self-governing, self-regulating system for assessing scientific predictive power
Ted C. Rogers

TL;DR
This paper introduces Ex Quaerum, a decentralized, web-based system that uses crowd consensus to evaluate scientific predictions, aiming to improve transparency and reduce reliance on centralized referees.
Contribution
It presents a novel, self-governing protocol for assessing scientific progress through crowd wisdom, eliminating the need for centralized referees.
Findings
Prototype implementation called Ex Quaerum described
System relies on crowd consensus and checks and balances
Designed to be a transparent, searchable database
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 its 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.
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Taxonomy
TopicsScientific Computing and Data Management · Philosophy and History of Science · scientometrics and bibliometrics research
