YGG is building a data science framework for injecting subject matter expertise signal into QF funding outcomes. Tunable QF is a data science framework web application that allows users to load up community token distributions, badges, credentials, and reputation systems that can be applied as signals to modify donation weights that get passed into the QF algorithm.

This allows for a community to boost the signal of it's members for determining which public goods should be funded for that community.

This application is currently being used by the Token Engineering Commons to do SME signal boosting for their community QF round. This gitcoin citizens round funding will enable the continued development of this application, and the generalization of the tool to be adopted by other communities.