  The paper addresses some fundamental and hotly debated issues for high-stakes
event predictions underpinning the computational approach to social sciences.
We question several prevalent views against machine learning and outline a new
paradigm that highlights the promises and promotes the infusion of
computational methods and conventional social science approaches.
