Programme Thesis
The DeSci on Gitcoin Community Grants programme funds open-source, decentralized science projects that leverage blockchain and Web3 tools to make research more transparent, accessible, and community-driven. It exists to lower barriers for independent researchers and small teams, enabling them to build public goods in science without traditional institutional gatekeeping.
Selection Criteria
- Open-source ethos: All code and outputs must be publicly available under permissive licenses (e.g., Apache 2.0, MIT).
- Decentralization: Use of blockchain, DAOs, or other decentralized infrastructure for governance, funding, or data sharing.
- Community impact: Potential to benefit a broad, underserved community (e.g., LMIC researchers, addiction patients).
- Innovation: Novelty of the scientific or technical approach, especially if it challenges mainstream paradigms.
- Feasibility: Clear milestones and realistic budget for the requested amount ($1K–$10K).
- Transparency: Pre-registration, open data, and reproducible methods are strongly preferred.
- Eligibility: Open to individuals and teams globally; no formal academic affiliation required.
Past Winners / Cohort Profiles
Past winners include independent researchers and small collectives working on decentralized drug discovery platforms, open-access publishing tools, and community-run clinical trial registries. Examples: projects like 'Open Drug Discovery' and 'SciHub DAO' archetypes. Named winners are not listed on the Karma page, but typical profiles are early-career scientists or engineers with a strong GitHub presence and a clear public-good angle.
Ideal Candidate Fingerprint
The platonic ideal applicant is an independent researcher or small team with a fully open-source, reproducible project that uses decentralized tools (e.g., IPFS, Ethereum, DAOs) to solve a pressing scientific problem. They have a track record of public code contributions, pre-registered hypotheses, and a clear plan for community engagement and impact, especially in underserved regions.
Recommended Framing
Eniola should lead with his independent, pre-registered CCT model and open-source platforms (IMPRINT, TOPOLOGIX, GATE) as exemplars of DeSci principles: all code is on GitHub under permissive licenses, hypotheses are pre-registered, and the work targets addiction—a global health crisis with high unmet need in LMICs like Nigeria. He should emphasize that his provisional patent is a defensive public-good move, not a barrier, and that his collaborations with Berridge, Gershman, and Daw validate the science while his independent status embodies the decentralized ethos.
Watch Out
None. Eniola's independent status, open-source platforms, and LMIC focus are strong fits. The modest grant size ($1K–$10K) is appropriate for his current stage. The rolling deadline removes time pressure. One minor note: the patent application could be seen as counter to open science, but framing it as a defensive public-good patent (e.g., pledged for non-commercial use) would mitigate this.