Overview
Computational approaches are made in diverse fields, used in diverse methods, and applied to various phenomena. In research, optimization and simulation is the most popular method used for understanding phenomena in the natural and social sciences. In Data Sciences, computational approaches led to the construction of the DIKW pyramid; big data (D) is transformed into information (I), the information is organized as knowledge (K), and finally knowledge is integrated to wisdom (W) to solve a problem.
Even though computational approaches are varied, there are many cases where the same mathematical models, algorithms, and methods are used in different research fields. A commonality can also be found in the platforms used, where the same programming language, software, and hardware is utilized to address phenomena in different fields. In such a situation, it can be expected that cooperations between researchers from various fields has the potential to yield surprising findings.
Therefore, in this project, while taking advantage of the Faculty of Social Sciences’ unique features, researchers in various fields will have the opportunity to interact and exchange information with each other while improving their knowledge and skill in computational approaches. We strive to make great contributions to the field of computational approaches.
Members
Project Organizer: Yasunori Katsurayama
Affiliated Researchers: Tota Suko, Wataru Nakahashi
Adjunct Researcher: Hiroshi Wako (former professor of Waseda University)
Project Period
July 2, 2018 – March 31, 2028
IASS Research Project
| Research Category | Principal Investigator | Research Project | Project Period (FY) |
| Grant-in-Aid for Scientific Research (C) | Katsurayama Yasunori | Research on R&D investment decision-making | 2022-2025 |
