The course focuses on the regulatory issues and concerns when the governments take data science as a paradigm to enhance the capacity of public policy. Advance in data science radically transforms the way data can be handled and utilized, and inevitably generates new regulatory concerns and debates due to the clash of competing values and interests. For example, while privacy and citizen rights advocates strive to decrease unexpected uses of data, many scientists and institutions may attempt to use data to design and evaluate public policies in order to maximize its effectiveness. This course discusses theoretical approaches to regulations from multidisciplinary and transdisciplinary approaches for the analysis of regulatory institutions, practices and ideas in data regulation as well as the dillemma between utilization of data and its protection, accessibility and transparency.