The conference will review opportunities and challenges associated with the usage of mathematical, statistical, and computational models in science, technology, and innovation (STI) decision making. This conference will bring together leading experts from economics, social science, scientometrics and bibliometrics, information science, physics, and science policy that develop mathematical, statistical, and computational models of different types (stochastic, agent-based, epidemics, game-theoretic, network. etc.). The conference is poised to address the current and future needs of policy makers and hence major model users, such as representatives from funding agencies, university administrators and other science policy makers. Policy makers will take a major role in helping the modeling community to identify grand challenges for future research and development.