# 🍄 Engineering for Resilience with Primary Issuance Markets As the token engineering space continues to evolve, bonding curves are emerging as a powerful tool for creating dynamic token economies, providing projects with native revenue and additional price stability. The research, education, and development of token engineering primitives has profound potential and implications for token ecosystems; these tools are poised to play a key role in shaping the future of token economics. While initial results are promising, the [Bonding Curve Research Group](https://auspicious-cap-b5c.notion.site/Bonding-Curve-Research-Group-a0fe00e81d84435a8fddd547a7888063) is planning further research, development, and education to build on these findings and continue to explore the potential of dynamic supply tokens, Primary Issuance Markets, and primary and secondary market interactions with partners [Inverter ](https://www.inverter.network/)and [BlockScience](https://block.science/).\ \ This article shares more on the bonding curve modeling infrastructure we are building and our work in identifying further research questions to enable better design, engineering, and operational decision-making in dynamic supply token economies: {% embed url="" %} In addition to exploring bonding curve performance and parameterization, the Bonding Curve Research Group also plans to explore the technical and economic risks of using yield-bearing tokens as collateral, expanding our models of agent behavior and market interactions, and studying the effects of a ‘nested control system’ with the primary issuance market as a [passive filter](https://www.wevolver.com/article/difference-between-active-and-passive-filters#:~:text=passive%20filters%20find%20applications%20in%20sensor%20signal%20conditioning%2C%20which%20help%20remove%20noise%20from%20sensor%20outputs%20before%20processing%20or%20display.) and an arbitrage bot as an [active filter](https://www.wevolver.com/article/difference-between-active-and-passive-filters#:~:text=In%20signal%20conditioning%2C%20active%20filters%20play%20a%20crucial%20role%20in%20improving%20signal%20quality%20and%20reducing%20noise.%20For%20example%2C%20an%20anti%2Daliasing%20filter), acting together to ‘smooth’ otherwise more volatile token price changes. Continuing research and experimentation is key in unlocking the potential of these novel economic primitives that are redefining liquidity and market making in Web3. We look forward to continuing our research and welcome further collaboration with ecosystem partners to study the use of bonding curves in creating more resilient token economies. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://bonding-curve-research-group.gitbook.io/bonding-curve-research-group-library/engineering-for-resilience-with-primary-issuance-markets.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.