Scholarlink

We study how decentralized autonomous organizations (DAOs) evolve in an AI education developer community. We propose a four-stage evolution path, a “5D + O” governance principle set, and a 70-20-10 resource structure. We combine case evidence, qualitative interviews, and social network analysis. We show that decentralized screening, transparent voting, and contribution based allocation help early incubation, risk dispersion, and fast coordination. We also highlight the role of community education onboarding, capability building, and norm internalization in sustaining governance at each stage. We discuss limits and future research.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

AI Education Developer Community: A Study on the Evolution of DAOs

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Caiyan Tang,
  • Chengzu Dong,
  • Qin Wang,
  • Qi Cai,
  • Shiping Chen,
  • Yuhui Huo

摘要

We study how decentralized autonomous organizations (DAOs) evolve in an AI education developer community. We propose a four-stage evolution path, a “5D + O” governance principle set, and a 70-20-10 resource structure. We combine case evidence, qualitative interviews, and social network analysis. We show that decentralized screening, transparent voting, and contribution based allocation help early incubation, risk dispersion, and fast coordination. We also highlight the role of community education onboarding, capability building, and norm internalization in sustaining governance at each stage. We discuss limits and future research.