Research

Generally, We do research (DBLP, GS) on digital democracy, bringing ideas from computational social choice, artificial intelligence, game theory, and combinatorial optimization to develop the foundations and design tools that enable groups and communities to collaboratively achieve their goals in a fair way, with an emphasis on the blockchain and the DAO ecosystem. 

Concretely, in our pursuit of digital democracy we observe the need for devising tools that enable communities to collaboratively decide on various topics; and to do so while taking into account the limitations and different goals that community members may have. 

For example:

• We consider aggregating preferences to select committees, to perform participatory budgeting, and to collaboratively produce texts (also for DAOs). This research is partially funded by ISF. 

• We study how the fact that some decisions are repeated may improve social welfare. This research is partially funded by BGU-NJIT.

• We investigate the effect of vote delegation on the decision process and how liquid democracy may be useful for improving the way democracy is implemented. This research is partially funded by the EU.

• We suggest new governance systems for DAOs and other blockchain applications. This research is partially funded by the Optimism collective.