  Even though it is unrealistic to expect citizens to pinpoint the policy
implementation that they prefer from the set of alternatives, it is still
possible to infer such information through an exercise of ranking the
importance of policy objectives according to their opinion. Assuming that the
mapping between policy options and objective evaluations is a priori known
(through models and simulations), this can be achieved either implicitly
through appropriate analysis of social media content related to the policy
objective in question or explicitly through the direct feedback provided in the
frame of a game. This document focuses on the presentation of a policy model,
which reduces the policy to a multi-objective optimization problem and
mitigates the shortcoming of the lack of social objective functions (public
opinion models) with a black-box, games-for-crowds approach.
