To create new scientific, social, and economic values by using data produced in various scientific fields and the industrial world, the creation of a new concept and approach in which mathematics, mathematical science, and information science cooperate and integrate is essential. Through the creation of an innovative information usage method in which the mathematical model-type approach, which extracts dynamics, and the data driven-type approach make complementary use of each upside, the acceleration and high-level application of information usage in the real society are expected.

　In this research area, we support young researchers who contribute to the future with information and mathematical sciences and the research and development that integrate and apply the two fields; we also promote the research and development for the creation of new values. Specifically, we call for challenging research concepts based on new ideas in the application to a wide range of special fields related to information and mathematical sciences, as well as any other field including not only conventional research challenges in the conventional information science but also the data usage methods, using the knowledge from both information and mathematical sciences such as data assimilation, topological data analysis, compression sensing, and differential privacy.

　To promote research, we, placing importance on the viewpoint of the development of human resources, provide opportunities in which young researchers communicate and mutually stimulate each other; thus, we aim to construct a network of researchers, which may result in the development of human resources in the research that advance the research to contribute to the future and in future cooperation. This research area is managed in the course of “AIP Network Lab,” which constructs the AI, big data, IoT, and the AIP Project.