Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Unblocking Recognition: A Token System for Acknowledging Academic Contribution

Version 1 : Received: 12 September 2022 / Approved: 14 September 2022 / Online: 14 September 2022 (08:41:28 CEST)

A peer-reviewed article of this Preprint also exists.

Lee, J.; Moroso, M.; Mackey, T.K. Unblocking Recognition: A Token System for Acknowledging Academic Contribution. Frontiers in Blockchain 2023, 6, doi:10.3389/fbloc.2023.1136641. Lee, J.; Moroso, M.; Mackey, T.K. Unblocking Recognition: A Token System for Acknowledging Academic Contribution. Frontiers in Blockchain 2023, 6, doi:10.3389/fbloc.2023.1136641.

Abstract

Here we present a blockchain-backed token recognition system to reward the contributions that academics make to the scientific ecosystem. Recognition is important in science but current methods, systems and incentives are limited. Specifically, the traditional focus on narrow publication metrics means diverse contributions are not captured, while bias toward senior, established scientists is common. To tackle this challenge, we explore the potential of harnessing blockchain’s collaborative, decentralised and trust-brokering properties to develop a token reward system for use by research funders. Academics would be awarded tokens for undertaking common but vital tasks such as peer review, sitting on funding committees and submitting reports. These tokens would not be tradable or specifically monetisable but would serve as a validated record of scientific contribution. They would have value in professional recruitment and job placement, support grant and award applications, and inform performance appraisals and file reviews. Coordination and cooperation across multiple funding agencies in developing the platform would provide an opportunity to aggregate and standardise recognition, given academics often work with several funders. This system’s goals are to expand recognition metrics, promote efficiencies, improve the robustness of professional assessments and enable cross-funder collaboration, thereby optimising research processes and practices in a decentralised and democratised manner.

Keywords

Blockchain; Token; Recognition; Reward; Peer Review; Research Management; NIHR

Subject

Computer Science and Mathematics, Information Systems

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