Reporter：Xiao Fang
Abstract：The US National Science Foundation (NSF) classifies AI research into two categories: fundamental AI research and use-inspired AI research. The former aims to develop theory and methods that are independent of any particular domain of application whereas the latter seeks new methods and understanding in AI by situating the research in a domain of application to simultaneously inform progress in AI and solve particular use cases. NSF emphasizes that use-inspired AI is not applied AI because it develops novel AI algorithms and methods inspired by important business, societal, scientific, and engineering problems. Positioned at the intersection of technology and business, researchers in the field of Information Systems (IS) are well-suited to carry out use-inspired AI research. In particular, computational design science research, which is concerned with solving business and societal problems by developing novel computational algorithms and methods, is use-inspired AI research in the IS field. In this talk, I will discuss what computational design science research is and why it is unique (especially in comparison to machine learning research in the field of Computer Science). I will also illustrate computational design science research with an example.
