Unleashing the Future of Science: ResearchDao a DataDao built on FVM.
Introducing Research Dao: Revolutionizing Research Funding and Peer Review
Research Dao is an innovative Data DAO built on top of FVM, poised to tackle the challenges of the decentralized scientific ecosystem (DeSci Problem). This cutting-edge platform offers a comprehensive suite of features aimed at revolutionizing the funding and peer review processes for researchers worldwide.
At the core of Research Dao is its quadratic voting system, empowering the Dao's participants to collectively determine the significance and value of research papers. This novel approach ensures a fair and democratic evaluation process, where each vote carries a weight proportional to its square root.
Polybase, an integral component of Research Dao, provides an NFT-gated peer review system. By leveraging NFTs, researchers can engage in collaborative discussions, share insights, and provide constructive feedback on each other's work. This fosters a vibrant community and promotes knowledge exchange among peers.
To ensure the privacy and security of research papers, Research Dao implements the Lit Protocol's Public Key Pinning (PKP) encryption mechanism. By utilizing Lit Protocol's P2P keys, all documents within the platform are encrypted, safeguarding sensitive information and intellectual property.
The Research Dao platform is built on the robust foundation of FVM (Filecoin Virtual Machine), guaranteeing decentralized and secure storage of scientific data. Through a DataDAO Market, researchers can openly share their research papers while maintaining ownership and control over their intellectual property.
TableLand, a powerful data management solution, empowers Research Dao with data mutability. Researchers can easily manage and manipulate the data stored within the platform, enhancing collaboration and facilitating data-driven insights.
In the fight against AI-generated content infiltrating research papers, Research Dao utilizes a sophisticated deep fake detection-on-images-and-videos model trained on Bacalhau. This advanced screening process ensures the integrity and authenticity of the research papers, preserving the high standards of scientific rigor.
To facilitate user authentication, Research Dao leverages Lit Protocol with Google OAuth integration, providing a seamless and secure login experience for researchers accessing the platform.
Additionally, Research Dao integrates with Ceramic, allowing researchers to securely store their PKP-encrypted research papers. This integration provides researchers with the flexibility to access their papers across multiple platforms while maintaining the highest levels of data privacy.
With its holistic approach to research funding and peer review, Research Dao empowers researchers to collaborate, innovate, and contribute to the advancement of scientific knowledge. By combining cutting-edge technologies such as Polybase, FVM, Lit Protocol, TableLand, and Bacalhau, Research Dao offers an unparalleled platform for researchers to connect, share ideas, and push the boundaries of scientific exploration.
Join Research Dao today and unlock a new era of collaborative research, where funding and peer review challenges are elegantly solved, propelling the scientific community forward towards greater discoveries and breakthroughs.
Building Research Dao involved a meticulous integration of various technologies to create a robust and efficient platform for research funding and peer review. Here are the nitty-gritty details of how this project was developed:
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In summary, Research Dao was built by combining technologies such as Polybase, FVM, Lit Protocol, TableLand, and Bacalhau. These technologies were intricately pieced together to create a secure, decentralized, and collaborative platform for research funding and peer review. Integration with Ceramic and Google OAuth further enhanced the platform's functionality and security. The implementation of quadratic voting and the deep fake detection model showcased innovative and notable approaches to address specific challenges in the research domain.