Rebuilding DeSci: Trust, Funding & the Future of Open Science with Rodrigo, Eva & Joshua
Автор: EthBoulder
Загружено: 2026-02-15
Просмотров: 3
Описание:
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/
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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
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