Abstract: In the disclosure of the present innovation the system utilizes artificial intelligence, machine learning, and data analytics for practical and robust digital democracy applications to dynamically predict the most important states to survey in a process. In the present invention, beneficiaries are surveyed about their preferences over various options in these surveyed states. In the current invention, when a state that has not been surveyed occurs, Bayesian methods are used to dynamically predict what a user's ballot would have looked like if that state had been surveyed and Bayesian prediction is then tested, and if the result is found to be robust then a decision is reached using voting logic and economic theory. In the system of the current invention, if the results are not robust, then the process is rerun to determine the most important states to survey.