DeSci: From Cognition to Doubt to Understanding

1. The Evolution of DeSci

1.1 Introduction to DeSci

Pain Point:

The academic community has long faced the problem of lagging infrastructure for the maintenance, dissemination, and distribution of research成果IP. In the field of knowledge sharing and discovery, balancing security, transparency, incentive mechanisms, and accessibility has always been a challenge. Traditional models rely on centralized verification, which limits inclusivity and broad participation. Existing systems also struggle to adequately reward knowledge contributions, impacting the development of a comprehensive knowledge base.

Solution:

The core concept of DeSci is to allow everyone to have equal access to scientific knowledge at all levels, with the research process being transparent and open to all. It aims to establish an ecosystem that encourages knowledge contributors to share their research findings, allowing anyone to browse and even iterate on this content without barriers.

This new model is significantly different from the traditional scientific research system:

• Fund allocation is determined by the public through mechanisms such as DAOs, rather than being controlled by a small closed group.
• Promote dynamic cooperation of resources globally, breaking through the limitations set by traditional institutions.
• Fund circulation is more transparent and efficient, with greater emphasis on tokens and reputation incentives.
• Knowledge contributors can transparently allocate IP, encouraging the sharing of all research data including failure cases.

1.2 Questions about DeSci

The original intention of DeSci is to create an ecosystem for scholars to share research and obtain IP ownership, with ordinary users mainly being able to more easily access this research. Essentially, the academic ivory tower has not been broken, and the core players are still top scholars.

For ordinary people, there are very few scenarios outside of school where they need to easily access academic reports. It must be acknowledged that the ability to contribute valuable academic IP is held by a select few.

This is precisely the problem with DeSci - it is too elitist, making it difficult to fully leverage the community effects and efficient economic system advantages of web3. The foundation of DeSci should be an active ecosystem based on efficient token mechanisms and strong community effects, rather than a purely open knowledge contribution platform. If users lack motivation to participate and demand for token transactions, it will not support a sustainable economic system.

Therefore, it is obviously unreasonable to only have scientists as the core players, and it cannot form a sustainable mechanism.

2. Redefining DeSci

2.1 Understanding the Essence of DeSci

Science ≠ Knowledge

DeSci should not be limited to scientists, but should lower the threshold for ordinary people to access science. It should avoid using "science" solely and emphasize "knowledge" more. "Science" sets a threshold for DeSci, while "knowledge" can be data in any form and field.

Contributing knowledge in professional or areas of interest is inherently attractive and easy to create a ripple effect. Therefore, expanding the framework of "science" makes community participation possible and can maximize the value of web3.

DeSci should be a pyramid structure, dividing participants in the full knowledge-sharing chain into different levels, where each role is indispensable. Scholars, at the top, contribute core value and bring breakthroughs to projects. Community users, at the bottom, maintain the efficient operation of the ecosystem and economic system.

2.2 The Cornerstone of DeSci - BIO

2.2.1 Introduction to BIO

BIO Protocol is a decentralized scientific financial infrastructure aimed at promoting biotechnology innovation through community collaboration. It provides tools for funding, developing, and governing scientific IP for the global community, accelerating the commercialization of biotechnology research.

Core Features: Support for Decentralized Organizations in Biotechnology - BioDAOs

2.2.2 In-depth Analysis of BIO

1) Technical Details

The tech stack and architecture design of Bio Protocol support the tokenization of biotechnology IP and on-chain governance:

• Develop customized public chains to ensure transparency and verifiability in biotechnology development, commercialization, and transaction processes.
• The IP-Token mechanism is based on smart contracts, with each IP asset having an independent token that defines ownership and trading rules.
• Based on the DAO architecture, members vote to manage and fund research projects using BIO tokens.

2) Operational Model Analysis

BioDAO

BioDAOs are decentralized autonomous organizations within the BIO Protocol ecosystem, focusing on specific scientific fields. The BIO Protocol provides BioDAOs with:

1. Startup capital support
2. On-chain liquidity support
3. The governance layer participates in decision-making.
4. IP Commercialization Support
5. Standardized Framework

Curation Mechanism

The curation mechanism of BIO Protocol selects and supports the most promising BioDAOs to join the ecosystem:

• Submit Application
• Vote Support
• Curation Rewards
• Join the ecosystem

Reward Mechanism

Bio/Acc provides rewards in the form of BIO tokens, including:

• Initial Token Auction
• Research Funding
• Launch of IP-related consumer products
• Product enters clinical trials

IP-Token

• BioDAOs develop and hold ownership of IP tokens
• IP Token holders can gain governance rights and priority access.

2.2.3 Reasons to Invest in BIO

BIO has built the largest DeSci platform to date, financializing scientific research results with financial value, and commercializing the value created by users through community-selected subnets, sharing profits with users. $BIO continuously captures the value created by all DeSci subnets, making it the most valuable token in this field. In the long term, demand for health and longevity will continue to rise, and BIO has significantly lowered the entry barriers in related fields, making it worthy of long-term attention.

The product has undergone long-term accumulation and iteration, with star projects like vitaDAO appearing in the ecosystem, proving that the operational model is feasible and there is market demand. The founding team has rich experience in the research and web3 fields and holds top influence in the DeSci domain.

3. Future Prospects of DeSci

The imaginative space that DeSci brings to the industry is not limited to research or drug discovery. Introducing the concept of co-building knowledge, the process of constructing DeSci resembles building a vast dynamic database.

The Potential of DeSci + AI

DeSci should fragment knowledge and create a system for everyone to participate in the co-construction of knowledge. This complements the community attributes of web3 and promotes the organization of data in different fields, such as fitness, longevity, and various DAOs.

By gathering fragmented data into large-scale datasets through community co-construction, a 1+1>2 effect is created. To truly establish a knowledge base based on web3, the primary task is to develop the community and expand the user base. This approach is more crypto native.

User participation motivation comes from joining data organizations through staking, contributing data to receive incentives. Valuable data is cited and associated more frequently, and the corresponding data organization receives more income and incentives, promoting the improvement of data quality.

In this vast system, users who contribute very little are allowed to provide data to participate in staking and receive the minimum tier of community incentives. This inclusivity does not affect the overall operation; rather, it benefits the development of the system.