Despite the progress of traditional social science, modern social science is facing a serious paradigm shift due to the development of computer and Internet technologies. Human behavior and social phenomena is possible to be quantified by big data digitall y tracing online activities and mobility records at a granular level. In some cases, big data can be analyzed using technologies evolving in the natural sciences, such as physics, chemistry, and biology. Experimental data and multiple results from theoreti cal and computational simulations complement them. Both theoretically and analyticall y grounded insights may open new doors of computational social sciences. From this pe rspective, we hold a series of annual workshops on application of big data for comput ational social science for several years. The scope of the workshop includes, but is not limited to, big data applications, big data collection and use, an integrated fra mework for theory, simulation, statistics, and experiments.