Unblocking recognition: A token system for acknowledging academic contribution

James Lee, M. Moroso, T. Mackey
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引用次数: 1

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.
解锁识别:一种用于确认学术贡献的令牌系统
在这里,我们提出了一个区块链支持的代币识别系统,以奖励学者对科学生态系统的贡献。承认在科学中很重要,但目前的方法、制度和激励措施是有限的。具体来说,传统上对狭隘的出版指标的关注意味着没有捕捉到不同的贡献,而对资深、知名科学家的偏见很常见。为了应对这一挑战,我们探索了利用区块链的协作、去中心化和信任经纪特性来开发代币奖励系统的潜力,供研究资助者使用。学者们如果完成了同行评议、参加资助委员会和提交报告等常见但重要的任务,就会获得代币。这些代币不能交易,也不能特别货币化,但可以作为科学贡献的有效记录。它们在专业招聘和就业安置、支持拨款和奖励申请、为绩效评估和文件审查提供信息方面具有价值。多个资助机构在开发该平台方面的协调与合作,将为学术界经常与多个资助机构合作提供一个汇总和标准化认可的机会。该系统的目标是扩大识别指标,提高效率,改善专业评估的稳健性,并实现跨资助机构的合作,从而以分散和民主化的方式优化研究过程和实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
7.00
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0.00%
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