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Outline of the Graduate Research Program
The School of Knowledge Science creates an education and research system by restructuring and integrating disciplines in the fields of natural science and social science from material science, life science, cognitive science, information science and system science through sociology, organizational science, business administration and economics, and searches for the mechanism of knowledge creation.
The School of Knowledge Science also targets the nurturing of problem identification and resolution skills in the human resources who will carry the knowledge society into the future, "the pioneers of the knowledge society."
Research subjects of the School of Knowledge Science are concentrated mainly in the following 3 fields:
- "Molecular Knowledge Systems, Complex Systems including chaos and fractals" in the natural world;
- Individual "Cognition and Intelligence, Genetic Knowledge, Knowledge Systems, and Knowledge Creation;"and
- "Organizational Dynamics, Decision-Making Processes, Social Systems, Creativity Support Systems, and R&D Processes" in organizations and societies.
Moreover, it also includes such wide-ranging social phenomena as
- "Network Society, Cyberspace, the Virtual Laboratory, the Virtual Corporation, the Cyber-Metropolis, and the Knowledge Society."
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Our research activities include the aggressive conduct of joint research and fieldwork from the perspective of placing great emphasis on research regarding events and phenomena in daily life and the real world, and the utilization of the intellectual technology including computer networks and simulations targeting both regional and overseas corporations and organizations.
Against the background of such an approach to research and, as a graduate school that strives to create and pass down advanced science and technology that responds to ever-changing social needs, the School of Knowledge Science designs education curriculum integrating "knowledge" of natural science, system science, information science & cognitive science, business administration and organizational science, and nurtures human resources with a high level of professional ability and the research skills to engage in the design of new social systems, the development of new technologies and to seek after a mechanism of knowledge creation.
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Organization of Departments and Chairs
The School of Knowledge Science consists of 2 departments: the Department of Social Knowledge Science and the Department of Knowledge System Science. Each department includes 6 chairs.
Department of Social Knowledge Science |
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The Department of Social Knowledge Science conducts both basic and applied research into the processes of social and organizational knowledge creation and the nature of individual and group creativity in order to develop innovative knowledge-creating methods, thereby solving managerial and societal problems. |
| Chair |
Education and Research |
Organizational
Dynamics |
A study of the knowledge that exists in organizations and the process in which it is created, transferred, transformed and upgraded without resorting to a specific methodology.
Laboratory:Kondo Laboratory,
Toyama Laboratory |
Decision-
Making
Processes |
A study of methodology for decision making and the determinants of the quality of decisions through diverse methods such as statistical analysis and case studies.
Laboratory:Nagai Laboratory |
Social
Systems |
An investigation of the social process in which knowledge is created, shared, and utilized, for the design of social systems that promote the knowledge process.
Laboratory:Umemoto Laboratory,
Ito Laboratory |
Creativity
Support
Systems |
A study of the principles of knowledge-based system and knowledge creating environment building, and the application of those principles to real world intellectual problems. The aim of this chair is to research and develop a creativity support system for the knowledge society.
Laboratory:Kunifuji Laboratory,
Fujinami Laboratory |
R&D
Processes |
A study of organizational dynamics and decision making that arise in the field of research and development, and design supporting systems.
Laboratory:Ikawa Laboratory |
Socio-
Technical
Systems |
Research on the principles and methodologies of the modeling and control of large-scale and complex systems; for example, scientific, ecological, technical and social systems.
Laboratory:Yoshida Laboratory |
Department of Knowledge System Science |
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The Department of Knowledge System Science conducts both basic and applied research into the nature of knowledge itself and both natural and artificial intellectual mechanisms to develop knowledge systems, thereby solving various large-scale, complex problems. |
| Chair |
Education and Research |
Knowledge
Creating
Methodology |
Research on the methodology of knowledge creation: the machine learning approach to knowledge discovery from large amounts of numerical, symbolic and linguistic data (data and text mining) and the cognitive approach to communication, such as discourse/dialogue analysis.
Laboratory:Ho Laboratory |
Knowledge-
Based
Systems |
Research on theory and design methodology for evolving knowledge systems. We are particularly interested in two collateral but complementary systems: networked information systems in Internet Webology and social networks in human relations, which are studied from analytical and synthetical points of view.
Laboratory:Ikeda Laboratory,
Hayashi Laboratory |
Knowledge
Structure |
A study of knowledge structure in terms of concept making based on the hierarchization, abstraction, and instanciation of concepts, and theory and methodology in the representation, acquisition, and utilization of knowledge.
Laboratory:Sugiyama Laboratory,
Yuizono Laboratory |
Genetic
Knowledge
Systems |
Reserch on various topics in bioinformatics: search and integration of bio databases, sequence analysis, structure analysis, expression analysis, pathway and network analysis, text analysis, Grid computing for bioinformatics, and so on.
Laboratory:Sato Laboratory |
Molecular
Knowledge
Systems |
An investigation of knowledge systems for the analysis of scientific activities, i.e. scientometoric analysis, computer simulation for chemical systems, and so on. This chair also involves the study of fundamental principles that enable the creation of molecule knowledge systems through which essential knowledge is discovered from an enormous knowledge database.
Laboratory:Honda Laboratory |
Complex
Systems
Analysis |
An investigation of principles and methods of estimating and controlling large-scale and/or complex systems, which may exhibit chaotic or fractal behavior. This is achieved by means of theoretical analysis and computer simulations. Investigational achievements are applied to such issues as environmental problems in social systems and evolution and development in biological and cognitive systems.
Laboratory:Nakamori Laboratory,
Hashimoto Laboratory |
In addition to these chairs, there are collaborative chairs and an MOT (Management of Technology) Comprehensive Program.
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