ABSTRACT

This chapter reviews the prospect of big data–based new policy sciences as evidence-based policymaking and then examines their opportunities and challenges based on selected cases. In particular, the technological advancement of informatics and artificial intelligence has opened new doors to the future of information tools. The chapter reviews the definition and characteristics of big data and, introduces several cases using big data in policy decision-making worldwide. Since understanding and analyzing big data require a complex methodology and a high level of technological knowledge, adopting big data in policy decision-making can be the exclusive property of highly-skilled technocrats. Herbert A. Simon is most famous for his contribution in adopting the concept of rationality to understanding human behavior. The chapter summarizes the characteristics of related components of bounded rationality and strategies using big data informatics to overcome these bounded rationalities within Simon’s decision-making process model stage.