The continuously increasing availability of digital trace data has made the digital space a potent "socioscope" available to social scientists in their explorations of human behavior and social systems. A pioneer and founder of the field, Professor Michael Macy has witnessed the rapid growth of computational social science since the 1990s. What attracts and drives him to focus on the computational approach to social science? What does he think about this thriving field? What does he think about the future of the computational approach in social science research? In this dialogue, Professor Macy will discuss his academic career and research experience, his understanding of the computational approach and its methods, his views on cultural sensitivity in computational social science, the relationship between computational experiments and real-world phenomena, as well as his opinions about academic training in computational social science.