In a science DAO (Decentralized Autonomous Organization), funding decisions are made collectively — but the exact mechanism depends on the DAO’s governance design. Unlike traditional grant systems controlled by agencies or university committees, science DAOs rely on token-based governance, on-chain voting, and community review ⚙️
Governance Token Holders
In most science DAOs, governance token holders decide how funds are allocated.
- Each token typically equals one vote
- Proposals are submitted on-chain
- Token holders vote to approve or reject funding
This model is common in blockchain-native organizations like VitaDAO and Molecule.
How It Works
- Researcher submits a proposal.
- Community discussion occurs (forum + Discord).
- Token holders vote.
- Smart contracts release funds automatically if approved.
This creates transparency and auditability 🔍
Delegated Governance
Some science DAOs use delegated voting (similar to representative democracy).
- Token holders delegate voting power to trusted experts.
- Domain specialists review technical proposals.
- Final decisions are executed on-chain.
This improves decision quality in complex fields like biotech or AI research.
Scientific Review Committees
Many science DAOs integrate peer-review-like layers:
- Expert panels screen proposals before public vote.
- Review scores may influence funding weight.
- Reputation systems track reviewer performance.
This hybrid approach combines Web3 governance with traditional scientific rigor.
Quadratic or Retroactive Funding
Certain DAOs experiment with advanced funding mechanisms:
- Quadratic voting: reduces whale dominance.
- Retroactive public goods funding: rewards projects after measurable impact.
For example, Gitcoin pioneered quadratic funding models later adapted in scientific ecosystems.
Treasury Structure
Funding ultimately comes from a DAO treasury:
- Token sales
- NFT/IP licensing
- Donations
- Protocol revenue
The treasury is controlled by smart contracts, not individuals.
Key Difference from Traditional Funding
| Traditional Grants | Science DAO |
|---|---|
| Closed committees | Open token voting |
| Opaque decisions | On-chain transparency |
| Institutional gatekeeping | Permissionless participation |
| Multi-year review cycles | Rapid proposal cycles |
Conclusion
Funding in a science DAO is decided by its governance structure, usually:
- Token holders
- Delegated experts
- Hybrid peer-review systems
The defining feature is programmable transparency — rules are encoded in smart contracts, and decisions are publicly verifiable on-chain.
In short: funding power shifts from institutions to network participants 🌐
👉 But in AI Internet-Meritocracy app funding is decided by an impartial AI for maximum funding efficiency and fairness. Human voting is however used to prevent scams such as prompt injection. Donate.
👉 Help fund the next public test of AIIM.
Help Test a New Way to Fund Science
AI Internet-Meritocracy (AIIM) is an operational beta designed to allocate available donations to researchers and open-source developers using AI-assisted evaluation of documented contributions. Payment transactions are already recorded on-chain.
The next major evidence milestone is a proposed five-month public adversarial test of the allocation model, with $1,000 distributed to eligible funding recipients. Donations help pay for the development, infrastructure, reviewer and participant recruitment, outreach, and operating work needed to reach and evaluate that milestone.
You do not need to assume AIIM is already proven to support the project. Your donation helps turn the proposal into evidence: what works, what fails, and what should change.
Support the next testing milestone → Read the test proposal →
Independent review
Researchers and technical reviewers: independent criticism is welcome, including negative conclusions. Review AIIM’s assumptions, governance, failure modes, and testing plan →
Research status: AIIM remains experimental. AI-generated evaluations can contain factual errors or biases, and decentralized governance and non-custodial components remain under development. That uncertainty is why public testing, auditability, and external criticism are central to the project.