Dynamic Optimization Algorithm for Self-regulating Tokenomics
Designing dynamic, bot-regulated tokenomics to enhance decentralization and robustness against market shocks, using DSGE models, machine learning for a blockchain economy through a research project.User Review
AI Review
A1
Reviewed on 14 Feb 2024 07:05 PM
Be a public good.
The project contributes to public knowledge by researching and developing an optimization algorithm for decentralized tokenomics, which can be a resource for the broader community and future projects.
Be primarily focused on education, tooling or research of token engineering (tldr; economics and system design with crypto / design and analysis of cryptoeconomic systems).
The project is focused on the research and development of an autonomous algorithm for tokenomics, aligning with the interests of token engineering, modeling, and economic design.
Have a PoC/MVP - projects must have some proof of already existing work, even if small, to be included into the round.
The researcher has presented slides that summarize the current state of the model and previous work experience in related fields, indicating progress beyond the conceptual stage toward a working model.
Satisfy the program Eligibility Policy in addition to the requirements outlined above.
While the project meets the specific eligibility requirements listed above, there is not enough information provided to fully determine if the project meets all aspects of the overarching program Eligibility Policy.