Sensitivity analysis (SA) is usually an overlooked steps in agent based modeling exploration (according to [3], 95% of sim- ulation models reviewed do not use statistical validation techniques). This lack of scrutiny includes: to determine arbitrarily the number of replicates to flatten stochastic processes impact on simulation outcome, fixed arbitrary parameter values to lower the dimension of the problem to explore, empirical scenario search to find points of interest in the parameter space, weak evaluation and validation of simulation outcomes and parameter contribution; among other issues. Potential explanation includes lack of knowledge, duration of the procedure, computational power required, lack of generic techniques, algorithmic complexity and accessibility of methods [1].