We present a methodology for evidence based design of cryptoeconomic systems, and elucidate a real-world example of how this methodology was used in the design of a blockchain network. This work provides a rare insight into the application of Data Science and Stochastic Simulation and Modelling to Token Engineering. We demonstrate how the described process has the ability to uncover previously unexpected system level behaviors. Furthermore, it is observed that the process itself creates opportunities for the discovery of new knowledge and business understanding while developing the system from a high level specification to one precise enough to be executed as a computational model. Discovery of performance issues during design time can spare costly emergency interventions that would be necessary if issues instead became apparent in a production network. For this reason, network designers are increasingly adopting evidence-based design practices, such as the one described herein.

中文翻译：

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区块链经济系统中的循证决策：从理论到实践

我们提出了一种基于证据的加密经济系统设计方法，并阐明了如何在区块链网络设计中使用这种方法的真实示例。这项工作为数据科学和随机模拟和建模在令牌工程中的应用提供了难得的见解。我们演示了所描述的过程如何能够发现以前意外的系统级行为。此外，据观察，该过程本身为发现新知识和业务理解创造了机会，同时将系统从高级规范发展为足够精确以作为计算模型执行的规范。在设计时发现性能问题可以避免成本高昂的紧急干预，如果问题在生产网络中变得明显，这将是必要的。出于这个原因，网络设计者越来越多地采用基于证据的设计实践，例如本文所述的设计实践。