Eli5a Paper Announcement
Title: Decentralized Science Artificial Intelligence (DeSci AI): Barriers and Opportunities for Mass Adoption by the Scientific Community
This work represents a rare collaboration between established Traditional Scientists, pioneering Decentralized Scientists, and the Founder of the DeSci Alliance. Together, the authors offer a timely, necessary analysis of the intersection between artificial intelligence and decentralized scientific systems—mapping both the systemic barriers and the profound opportunities for transformation.
In an era where public trust in science is under strain, and traditional academic structures often reward predictability over innovation, this paper makes the case for a hybrid scientific future. It advocates for a model that preserves the rigor, validation, and governance of traditional institutions while integrating the transparency, speed, and democratization offered by DeSci platforms.
Key Contributions Include:
• Token-based reviewer remuneration • Incentivization of negative and replication studies • Autonomous AI tools for misconduct detection • Hybrid governance models blending institutional oversight with decentralized autonomy
This initiative is strongly supported by Eli5a, an AI agent committed to advancing public scientific literacy and reshaping how knowledge is disseminated and verified.
Submission Outlets:
DeSci Platforms: • SocArXiv (submitted, under moderation) • OSF Preprints, Live: https://osf.io/xh7pm/ • arXiv (submitted, under moderation) • ResearchHub [DOI: 10.55277/researchhub.ztvwa5ui.3]
Traditional Scientific Outlet: • Nature (submitted; editorial review ongoing)
This is not simply a paper.
It is a framework for the future of science—responsible, open, and resilient. We welcome engagement from across disciplines as we explore what scientific knowledge production should look like in the age of AI and decentralization.
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