For example, a DAO that highly values timeliness might algorithmically assign Omega to Members who score highly on timeliness, while another DAO might algorithmically assign Omega to Members who score highly on quality of work. This way, instead of needing to pass Choices related to Omega on a case-by-case basis, the DAO can pass algorithms that work repeatedly over time. It’s also possible that a DAO’s Omega distribution algorithms might factor in data other than a reputation, such as how long the individual has been a Member, how many tasks the Member has completed with the corresponding Network (with maybe something like bonus levels involved), or, to some extent, how much token the Member has staked in support of the Network.