Factors required to achieve sustainable economic growth have eluded economists and policy makers for generations. In this work, written in residence at Harvard University, former Microsoft Program Manager Sven Simon presents a quantitative analysis of a combination of thousands of macroeconomic and geopolitical data points spanning over fifty years using state of the art neural network data mining analytics. While providing an introduction to related scholarly work in neural network biological theory, statistics, and economic growth, this book presents a quantitative analysis conducted using the latest data mining tools. Definitively correlating the impacts of policy choices on the welfare of all people is one of the most important tasks currently faced by civilization. This work moves beyond traditional case studies to present a more quantitative approach to understanding the complex links among the numerous factors that impact economic growth.