✳ THE GOVERNANCE OBSERVATORY VOL. 01
What happens when
the rules change?
Build a synthetic DAO community. Tune its behaviors and voting rules. Watch how decisions travel through a network of people.
ENTER THE LAB ↗A deterministic browser experiment, not a prediction of any real community.
01 / THE EXPERIMENT
Anatomy of a decision
Move one rule. See the entire social field respond.
A community in motion
Each node is one synthetic member with an opinion, turnout behavior, and network ties.
02 / PARALLEL WORLDS
Compare the paths
Save a run, change one variable, then place the outcomes side by side.
Your field notes will appear here.
Run a scenario and save it to begin a comparison.03 / THE METHOD
Not prophecy.
A better question.
Quorumfield helps communities see which assumptions drive an outcome. It is a small, transparent agent-based model for discussion, not a forecast or a governance oracle.
Twenty-four synthetic members start with reproducible opinions and network ties. No real wallet or DAO data is used.
Each round, opinions move toward connected peers. Participation is sampled from the configured base rate and member traits.
Votes are evaluated against quorum and approval thresholds. Optional delegation lets absent members assign one vote to a connected steward.
The model omits strategic campaigning, token weights, bribes, complex delegation, and real-world shocks. Outcomes are illustrative.
Inspired by the agent-based modeling approach of Mesa ↗, an Apache-2.0 Python framework. This site implements its own small JavaScript model; it does not run Mesa or use Mesa code.
VIEW LICENSE ↗