To configure DAS for specific use-case or discipline, an agent-based simulations framework is developed as part of the system.
It allows to simulate different scenarios and find the optimal starting configuration depending on discipline/domain population, current expertise distribution, average number of contribution for a given period of time and more.
Such precise configuration and tuning of the system ensure optimal and smooth operation and absence of incorrect and inaccurate assessment results and reward distribution artifacts.