The Evolution of DeSci: From Cognition to Practice

Understanding and Grasping DeSci

The research and knowledge sectors have long faced issues related to outdated infrastructure concerning IP maintenance, outreach, ownership rights, and revenue distribution. In this complex field of knowledge sharing and discovery, balancing security, transparency, reward mechanisms, and accessibility has always been a challenge. The centralized verification systems that traditional models rely on limit inclusivity and broad participation, while also failing to adequately reward knowledge contributions.

The core concept of DeSci is to provide everyone with equal access to various levels of science and knowledge, and to make the research process open and transparent for all. It aims to create an ecosystem that encourages knowledge contributors to share research findings, while allowing anyone to browse and iterate on this content without permission.

This new type of scientific research system has the following characteristics:

• The allocation of funds is determined by the public through mechanisms such as DAOs, rather than being controlled by closed centralized groups.
• Promote dynamic cooperation of resources globally, breaking through the cooperation limitations of traditional science.
• Capital flow is more transparent and efficient, emphasizing the value of token and reputation incentives as well as peer review.
• Knowledge contributors can transparently allocate intellectual property, encouraging the sharing of all research data, including failed attempts.

Limitations and Development Directions of DeSci

The initial concept of DeSci may have been too limited to the academic field, making it difficult to fully leverage the community effects and economic system advantages of web3. To make DeSci more sustainable, it is necessary to expand the participant base, not just limited to scientists, but also to lower the barriers for ordinary people to engage with science.

The concept of "science" should be expanded to the broader notion of "knowledge," encompassing data in any form and field. This expansion makes community participation possible and maximizes the value of web3.

The ideal DeSci should be a pyramid structure, dividing participants and contributors in the knowledge-sharing full chain into different levels. At the top are scholars, contributing core value; at the bottom are community users, maintaining the efficient operation of the ecosystem and economic system.

BIO Protocol: The Cornerstone of DeSci

BIO Protocol, as a decentralized scientific financial infrastructure, aims to promote biotechnology innovation through community collaboration. It provides tools for the global community to fund, develop, and govern scientific intellectual property, accelerating the commercialization of biotechnology research.

The core functions of the BIO Protocol include:

1. Support biotechnology decentralized organizations ( BioDAOs )
2. Ensure the transparency and security of biotechnological techniques and processes through a customized public chain.
3. The IP-Token mechanism based on smart contracts enables the tokenization and trading of IP assets.
4. Governance and Fund Management System based on DAO Architecture

BIO Protocol provides funding, liquidity support, governance frameworks, IP commercialization mechanisms, and standardized frameworks for BioDAOs, helping them enter the market faster and operate effectively.

The Future Development of DeSci

The potential of DeSci goes far beyond scientific research or drug discovery. By expanding its scope to the broader concept of knowledge co-creation, a vast dynamic database can be constructed. This approach complements the community attributes of web3, facilitating the organization of data across different fields.

The combination of DeSci+AI can fragment knowledge and create a system where everyone can participate in knowledge co-construction. By collecting fragmented data through community co-construction, a large-scale dataset can be formed, resulting in a 1+1>2 effect.

The key to this model lies in building a strong community and enhancing the user base to create a viral effect. The motivation for user participation comes from joining data organizations through staking, contributing data, and receiving incentives or staking income. Contributing valuable data can bring in more external revenue and native incentives, thereby promoting the improvement of data quality.

This vast system allows various types of users to participate, even those who contribute less can receive basic incentives through staking. This inclusive mechanism ensures the continuous operation and development of the system.