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In this live panel at ETHBoulder, researchers and builders explore the current state and future of DeSci (Decentralized Science). Featuring coral reef ecologist Rodrigo, AI-native open science builder Eva (@Aura_Sci), and Joshua (bonfires.ai / DeSci World), the discussion dives into why DeSci has struggled to scale and what must change next. The conversation explores: • Why DeSci is currently dormant • The 2021–2022 hype cycle & capital inflow • Trust breakdown between science & society • Institutional capture of research • Funding bottlenecks & milestone-based grants • AI agents as auditors & accelerators • Reputation systems for researchers • Citizen science & coral reef conservation use cases • Knowledge as an asset in the AI era • Decentralized reputation vs institutional prestige • IP extraction & AI model training risks • Knowledge-backed economies • Onboarding researchers beyond Web3 natives • Coordination vs purely technical solutions • What blocks DeSci adoption: tech or trust? • Why social systems matter more than smart contracts • How to rebuild trust in scientific funding This isn’t just about blockchain for science. It’s about redesigning how knowledge is created, funded, verified, and trusted. ETHBoulder isn’t just about protocols. It’s about rebuilding systems from first principles. https://ethboulder.xyz/ https://x.com/ethereumboulder https://x.com/1vayou https://x.com/Cypherpunkfish1 https://x.com/jb87ua Timestamps 00:00 – Opening & Introduction to DeSci 01:20 – Speaker Backgrounds (Open Science + Blockchain) 03:10 – Bonfires & Early Funding Experiments 05:20 – The Current State of DeSci 07:10 – Why Early DeSci Failed to Gain Adoption 09:10 – Rebuilding Trust in Science Using Blockchain 11:00 – Research Incentives: Funding, Reputation & Citations 12:40 – Decentralizing Knowledge Access 14:20 – Citizen Science & Real-World Examples 16:00 – What Makes DeSci Different from Academia 17:40 – Social Coordination vs Technical Solutions 19:40 – Institutional Dependence Problem 21:20 – AI + Milestone-Based Funding 23:10 – Storage, Coordination & Credibility 24:50 – AI Agents in Research Verification 26:20 – Knowledge Graphs & Bonfires System 28:00 – Redefining “Who Is a Researcher?” 29:30 – AI Auditing & Independent Researchers 31:00 – Biggest Barrier: Trust vs Technology 32:20 – Funding Mechanisms & Allocation Experiments 33:20 – Reputation Systems & Attribution Layers 34:30 – Final Thoughts & Workshop Invite