ICIS 2024-Summer III Special Sessions
Special Session 1: Analysis, Evaluation, and Usage of Web Information, System Behaviors, and Human Action
Topic Description:
Advance of information and communication technologies has been brought tremendous benefits to us. Diverse kinds of information are available on the Web and the amount of data is growing very rapidly. It has become very difficult to manage such data for computer systems and human beings. This special session focuses on information, systems, and humans on the web. It aims to clarify the relations and interactions among them through analysis and evaluation, and to find better system behaviors and human actions for increasing the benefits of web information.
Topics of interest include, but are not limited to:
– Internet Applications & Performances
– Information Retrieval and Recommendation
– Multimedia Data Analysis and Processing
– Affective Computing
– Positive Computing
– Emotional and Facial Expressions
– Database and Data Warehousing Systems
– Data Mining and Knowledge Discovery
– Knowledge Management and Decision Making
– Human Computer Interaction
– Cloud Computing
– Big Data Management and Analysis
– High Performance Computing
– Mobile and Ubiquitous Computing
– E-Commerce, E-Government, and E-Learning
– Information Security, Integrity, and Reliability
– Systems and Software Engineering
Special Session Organizers:
Yuya Yokoyama, Advanced Institute of Industrial Technology, Japan, Email: yokoyama-yuya@aiit.ac.jp
Special Session 2: Application of Computer and Information Science for business management
In the rapidly evolving business landscape, the role of computer and information science has become increasingly critical. The ability to effectively manage and use data is central to business strategies and operations. This special session will explore the application of computer and information science to business management. It seeks to uncover how the principles and technologies of information science can optimize business processes, improve decision making, and foster innovation. By bridging the gap between theoretical knowledge and practical application, this session aims to provide insights into the effective use of information technologies in the business world.
Topics of interest include but are not limited to:
- Business Intelligence and Analytics
- Web3 Technology for Business Management
- Marketing Analytics and Consumer Behavior Analysis
- Information systems strategy and governance
- Risk Management and Compliance Technologies
- Privacy, Security and Ethics in Business Information Systems
- Innovation Management and Digital Product Development
- Artificial Intelligence and Machine Learning for Business Solutions
Special Session Organizer:
Special Session 3: Practical Application of Data Science and IT Systems in Society
The remarkable development of data science and IT systems is fundamentally changing our living and working environments. These changes involve not only speeding up and simplifying our lives and work but also encompass innovative “transformations” through the fusion of diverse products, services, processes, and cultures. In this special session, we will address practical reports on how data science and IT systems have “transformed” business, administration, education, and daily life. The following are examples of keywords included in the research presentations for this session.
Digital Transformation
Data Science and Mining
Artificial Intelligence and Machine Learning
Business Intelligence and Analytics
Knowledge Management and Decision Making
e-Commerce, e-Government, and e-Learning
Social / Active Learning Utilizing IT
Organizational Transformation / Learning Utilizing IT
Information Systems Strategy and Governance
Marketing Analytics and Consumer Behavior Analysis
Leadership and Management for Innovation
Privacy, Security and Ethics in Information Systems
User Experience and Usability
Affective Computing
Special Session Organizer:
Hironori TAKUMA, Chiba Institute of Technology, Japan, Email: takuma.hironori@it-chiba.ac.jp
List of Reviewers:
(TBA)