Enhancing Decentralized Science with Dynamic Smart Contracts: A Blockchain-Based Reputation and Incentive System

Abstract

Blockchain has been increasingly adopted in various sectors to support transparent and tamper-proof data management. In the academic world, however, reputation systems remain centralized and often fail to represent the true contributions of researchers. Previous innovations such as Dynamic Smart Contracts (DSC) have enabled more flexible interaction models on blockchain, allowing logic and reward schemes to be updated without redeploying contracts. Building on this foundation, this paper introduces a blockchain-based reputation and incentive system tailored for the Decentralized Science (DeSci) ecosystem. The system records academic contributions such as publications, peer reviews, and experimental data into smart contracts that dynamically compute and update reputation scores. Each interaction is validated and permanently stored on-chain, enabling traceable, contribution-based recognition independent of centralized academic institutions. A series of tests conducted on the Ethereum testnet demonstrate that the system operates reliably, supports dynamic rule updates, and effectively tracks contribution-based reputation. This approach enhances transparency and fairness in scientific evaluation, strengthens community-driven validation, and supports the broader vision of DeSci by aligning incentives with openness, accountability, and verifiability.