The Governauts Rewards Systems Research Initiative is a 3-months program to explore incentives in a DAO context. Rewards Systems are a key element for DAOs to grow the ecosystem value, reward contributors, and grant decision-making power (governance tokens) to those who provide value to a DAO. In this program, we'll explore different DAO cases, analyze data, design mechanism improvements and verify our assumptions with experiments in real-DAO environments.

To celebrate reaching 100K followers, Delphi is giving out a commemorative POAP! We couldn't be more grateful to everyone who has supported Delphi since we started in 2018!

This POAP signals successful participation for the RAI Workshops. Successful participation criteria includes 1 github submission for any of the 3 challenges posed during the course. -- The Token Engineering Academy is partnering with Reflexer Labs and BlockScience to host a 3-session workshop on the RAI protocol cadCAD digital twin. The recently open sourced model is ripe for exploration and tinkering. These workshops will cover an introduction to the RAI Protocol and a walk-through on how to execute & modify the model itself.

HydraDX is a cross-chain liquidity protocol managing all assets in one shared liquidity pool. It is being built under a rigorous engineering process, collaborating with BlockScience, whose work includes the design and evaluation of economic and ecosystem models based on simulation and analysis. In this research group, aspiring token engineers will create new insights, develop simulation infrastructure, and validate protocol design choices — learnings that are accessible and re-usable for the entire DeFi ecosystem.

HydraDX is a cross-chain liquidity protocol managing all assets in one shared liquidity pool. It is being built under a rigorous engineering process, collaborating with BlockScience, whose work includes the design and evaluation of economic and ecosystem models based on simulation and analysis. In this research group, aspiring token engineers will create new insights, develop simulation infrastructure, and validate protocol design choices — learnings that are accessible and re-usable for the entire DeFi ecosystem.