Systematic Exploration of the Coordination Mechanism Design Space

[DisruptionJoe]

@owocki

i can see four types of rounds (one real + three simulated):

0. [high level of effort] - live - real humans doing their JTBDs
1. [medium level of effort] - simulated + human action needed - data created by real people, staffed by someone who wants experimental data results
2. [low level of effort] - simulated + computer agent action - data created by simulated people, staffed by someone who wants experimental data results
3. [very low level of effort] - simulated + data analysis - takes data created by rounds types 1 and 2 and tries to derive new analytic insights from them.

The prioritization through impact and feasibility here is great. I think the entire community can help and that this is likely something the Open Data Community will be perfectly set up to execute!

I see the OODA loop your refer to involving the following pieces:

• Crafted experimentation using the Gitcoin Program - Based on business intelligence and understanding of optimal capital allocation
• Prioritized wish lists for DevRel to help get built - Based on business intelligence combining our highest impact levers and our program managers most pressing needs
• Simulation experimentation where funding mechanism code can basically be swapped from simulation to live round calculations with ease

I’m sure there are plenty of others. Exciting time to be building Supermodular on the Gitcoin ecosystem.

I also just posted this growth and revenue forecasting model.