Decentralized Science

Web3 is a constantly developing sector, gaining more and more interest from users and bringing together a large community. Such a force can very effectively support science and technology development. By testing, providing data and giving feedback. This is mainly due to machine learning, which, based on the actions performed by the community, obtains a lot of data for further analysis and growth.

Our plans for DeSci will focus on:

A/B/C Testing Within NPC Interactions:

• Integrate experimental design principles into NPC interactions, quests, and content creation tools. Collect and analyze user engagement data to refine and optimize the user experience, making informed adjustments that enhance engagement and satisfaction.

User Contribution to Scientific Research

• Encourage and facilitate user contributions of data and insights for scientific research within the DeSci framework. Ensure privacy and consent are paramount, allowing users to opt-in to share anonymized data that contributes to studies in behavior, technology interaction, and digital sociology.

• User contribution for scientific purposes is always Opt-In, valuing privacy and making the data itself more reliable by implementing the KYDC process (Know Your Data Contributor) but also attempting to use the zero-knowledge proofs for the sake of sensitive data anonymity.

Decentralized Governance and Data Analysis

• Implement decentralized governance mechanisms that allow the community to vote on platform developments, research directions, and the utilization of collected data. This ensures that the platform evolves in alignment with user values and scientific integrity.

Reinforcement Learning Platform

• Use reinforcement learning to continuously improve AI models and NPC interactions based on real-world data. This not only enhances the user experience but also contributes valuable insights to the field of AI, particularly in the context of user engagement and digital content creation.