CollabLearn is a decentralized platform for research collaboration, where users stake EDU tokens to contribute to projects. Contributors earn rewards, reputation, and NFTs for accepted contributions.
The current academic research landscape faces several critical challenges:
Fragmented Collaboration: Researchers work in silos across institutions with limited tools for seamless collaboration.
Recognition Gap: Contributors to research often go unrecognized, especially those making smaller but valuable contributions.
Funding Inequity: Research funding is concentrated among established institutions and researchers, creating barriers to entry.
Verification Challenges: Tracking research provenance, contributions, and version history is difficult and often relies on trust.
Limited Access: Research papers are typically locked behind expensive paywalls, restricting knowledge dissemination.
Incentive Misalignment: Current incentive structures reward publication quantity over quality and collaboration.
CollabLearn is a decentralized research collaboration platform built on Layer 3 blockchain technology. It functions as a "GitHub for Research," allowing researchers to collaborate, contribute, verify, and monetize their work in an open, transparent ecosystem.
For Researchers: Gain recognition and rewards for all contributions, collaborate globally, and build verifiable reputation.
For Institutions: Access a global talent pool, verify research integrity, and streamline collaboration across organizations.
For the Public: Greater access to research, transparency in funding allocation, and participation in research direction.
Version Control: Track changes and evolution of research papers
Forking & Branching: Create derivative works and research extensions
IPFS Integration: Decentralized storage of research papers and data
Granular Contribution Tracking: Every contribution is recorded on-chain
Staking Mechanism: Stake EDU tokens to contribute, get them back with rewards if accepted
NFTs for Significant Contributions: Recognition through non-fungible tokens
On-chain Reputation: Build verifiable research credibility
Decentralized Peer Review: Community-driven review process
Stake-Based Voting: Higher stakes and reputation give more weight to reviews
Auto-acceptance Thresholds: Contributions accepted after sufficient positive votes
Access Control: Freemium model for research access
Revenue Sharing: Automatic distribution to all contributors
Citation Rewards: Earn from downstream citations of your work
Institutional Subscriptions: Premium access for organizations
Research Direction Voting: Community decides on research priorities
Parameter Adjustment: Democratic setting of platform parameters
Fund Allocation: Transparent distribution of platform resources
The decentralized Research Repository was done before the hackathon and during the hackathon the contribution and reputation system and peer review & validation feature were added during the hackathon.