JAIST International Symposium on Knowledge Science (ISOKS)
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The JAIST International Symposium on Knowledge Science (ISOKS) is a two-day symposium, organized by the Academic Field of Knowledge Management of the Japan Advanced Institute of Science and Technology’s School of Knowledge Science. It is to explore new dimensions of Knowledge Science specially focusing on Systems Science, Innovation Management, and Service Science.
Conference History:
JAIST International Symposium on Knowledge Science (ISOKS), March 14-15, 2016, Kanazawa, Japan
- Session: Service science and knowledge Science
”Entanglement” of Knowledge Science and Service Science: a personal perspective
Service Capability in the Context of Japanese Creative Services
Knowledge and Value: A Service Marketing Perspective
Transformative service research for improving collective well-being
On Business Ethnography: Anthropological methods for identifying
customers hidden needs
Framework for Sharing the Design Processes of Peer Support Services for Diabetics
Understanding How We Learn: A Case Study on Learner-Mentor Interaction Model
Developing a Service Communication Base based on Business Process Modeling: Description of Exception Handling in Service Encounters
Knowledge in Philosophy and X-Phi
Session: Systems science and knowledge science
Creativity and Systems Methodology
From Systems Thinking to Systems Intelligence – Bringing Human Behavior into the FocusRecent Development of Games with Unawareness
Language and communication in knowledge co-creation from the viewpoint of language evolution
A Shape of Agent-Based Modeling to Come
Integrated Uncertainty Modelling for Data Mining and Decision Making
Session: Innovation management and knowledge science
Innovation Design and Management for Advanced Smart Society (Society 5.0)
Software Engineering of Uncertainty in the Third Economic Revolution Era
Community resource development: Role of knowledge in ensuring biocultural diversity
Formal Modeling of Systems and Its Applications
Industrial Big Data Analytics and Industry 4.0 for Future Manufacturing & Service Innovation
Technology and Innovation Management: Research, Teaching and Integration in Practice
Integration of Theoretical, Experimental, Computational and Data-Centric Sciences: The case of Materials Informatics
Panel discussion:
The future of knowledge science