Authors who are willing to submit your paper to the special session, please choose the special session at the topic in the paper submission phase.
Accepted Special Sessions
ESKM-SS1: Next Generation Information Systems Connecting People, Things and Businesses(Cancelled. )- ESKM-SS2: Information Management in Human-Centric Systems
- LTLE-SS1: Technology-Enhanced Learning (TEL)
- DSIR-SS1: Advancing Data Accessibility for Institutional Research
- DSIR-SS2: Current trends and issues of institutional research and learning analytics in healthcare professional education in Japan after the COVID-19 pandemic
- DSIR-SS3: Institutional Research in universities to encourage students to qualify for the national examinations
- SCAI-SS1: Applied Informatics in Finance and Economics (AIFE)
- SCAI-SS2: Shapley Value Technology for Business Data Analysis
- SCAI-SS3: Information Systems and Artificial Intelligence in Society
- BMOT-SS1: Business management system for the revitalization of regional economies
- BMOT-SS2: Latest Issues for Business Management
- DSTM-SS1: Decision Analysis in Human Activities
- DSTM-SS2: Decision Science on Decision Making Process
AAI 2023 Special Sessions
ESKM-SS1: Next Generation Information Systems Connecting People, Things and Businesses (Cancelled).
Organizer: Rao Mikkilineni (Golden Gate University; Dominican University, USA)
Abstract: Recent advances in three areas are impacting the design, development, and deployment of intelligent information systems that enable real-time knowledge management and decision support:
1. Recent applications of the tools derived from the General Theory of Information are being used to develop self-regulating software systems that utilize distributed computing resources offered by many cloud vendors,
2. New advances in AI using large language models are transforming the way we process information and use it, and
3. New computing models going beyond the Church-Turing thesis are enabling next-generation digital automata that are both autopoietic and cognitive mimicking more c closely various degrees of intelligence exhibited by biological systems.
This session is aimed at inviting leaders in these areas to present their work and share their knowledge and experience. Topics include:
1. Application of AI and LLMs in bridging the knowledge gap between patients and healthcare providers to provide patient-centric healthcare,
2. integrating business process automation and real-time decision support using intelligent knowledge management,
3. Improving security and assuring privacy of data using real-time information processing architectures,
4. Designing, developing, and deploying self-managing software using distributed computing resources independent of infrastructure management systems, and
5. Development of federated services using edge computing, and federated AI to connect people, things and businesses.
ESKM-SS2: Information Management in Human-Centric Systems
Organizer: Evgeny Pyshkin (University of Aizu) and John Blake (University of Aizu)
Abstract: The special session on Information Management in Human-Centric Systems (IMHCS’23) is a meeting point for researchers, scholars, students, and IT-industry professionals interested in advancing computer science and technology towards serving societal expectations of the day in the digitally transformed world. The session addresses the topical problems and achievements in information acquisition, representation and processing aimed at developing human-centric systems and applications. The session builds on the successful implementations of previous editions organized in 2017 (Exeter, UK) and 2019 (Shenyang, China). In 2023, we expect to foster an international multi-cultural platform for cross-disciplinary discussion particularly welcoming contributions on such topics as User-Centered and Collaborative Environments, Speech Processing and Visualization, Computer-Assisted Learning and Digitalized Educational Environment, Human-Centric Design and Architectures, Informatics in a Digitally Transformed World, Information Retrieval, Data Modeling and Visualization, Recommendation Systems, Software and User Interface Personalization, Ambient User Experience, Mobile Interfaces and Applications, Informatics and Computational Approaches for Fine Arts, Humanities, and Music.
LTLE-SS1: Technology-Enhanced Learning (TEL)
Organizer: Charuni Samat (Khon Kaen University, Thailand)
Abstract: Technology-Enhanced Learning (TEL) is concerned with using technologies to support learning. Learning can be considered as a process whereby the learner accesses concepts and ideas, assimilating these through practice and ultimately demonstrating mastery. Enhancements of learning seek to improve parts of this practice and learning process. With the progress of technologies, such enhancements are achieved through the facilitations of fundamental activities of learning by technology in various forms. Thus, what technology-enhanced learning ultimately offers are scalability, flexibility, and new methods of facilitating.
Technology Enhanced Learning (TEL) that following characteristics: (1) using technology to motivate learner, (2) using technology to enrich learning resources or learning environment, (3) using technology to implement learning and instructional strategies, and (4) using technology to assess and evaluate learning goals. These four uses of technology make a learning environment technology enhanced. A technology enhanced learning environment uses technology to motivate people, especially its learners. Through the use of technology, learning tasks, learning activities and problems to be solved are presented in such away that it creates a strong curiosity for its learners to learn as well as strong needs to learn. Besides, many learning tasks challenge learners on their way to achieve their learning goals. Technology that provides learner with clear guidance, instant feedback, and immediate satisfaction on their learning efforts is highly appreciated by both learners and teachers.
We found ” Technology Enhanced Learning (TEL) ” research, and invite researchers, professors and students to share the research achievements, application cases, teaching strategies and relevant experimental analysis of designing and implementing of various emerging learning environment. Through mutual exchanges and discussions, it is expected to create renewed development strategies and a new era for the field. We cordially welcome all papers regarding application and design of Technology Enhanced Learning (TEL).
DSIR-SS1: Advancing Data Accessibility for Institutional Research
Organizer: Shotaro Imai (Tokyo Institute of Technology)
Abstract: This special session aims to discuss ways to improve the data flow structure in universities to ensure high-quality Institutional Research (IR). IR is intended to provide essential reports to meet the demands of university executives and stakeholders. The IR process typically begins with gathering the necessary information and data. During this first phase, studies on IR focus on data handling, including data storage systems and methodologies for data analysis and visualization. These systems and techniques are indispensable tools for IR to create reports. In this discussion, information and data are considered the ingredients of IR, and the availability and accessibility of data are often implicitly assumed, which underestimates the difficulty of ensuring data quality. However, people who conduct IR face challenges with gathering data and ensuring its quality, and this has been a longstanding problem in the IR community, particularly in Japan. We focus on this problem and discuss new approaches to data gathering and collecting flow to make IR activities more effective. Additionally, creating a better data flow structure within an organization is recognized as a way of achieving Digital Transformation (DX), a hot topic in universities today. Therefore, the special session will also cover approaches to DX that can improve data utilization.
DSIR-SS2: Current trends and issues of institutional research and learning analytics in healthcare professional education in Japan after the COVID-19 pandemic
Organizer: Yoshikazu Asada (Jichi Medical University)
Abstract: In DSIR 2019(Toyama), the organizer conducted the DSIR-SS for current trends and issues of IR(institutional research) and LA(learning analytics). After the session, some years have been passed and several important matters have arisen. One of the IR topic is about the accreditation of medical education. The evaluation of the medical education based on the global standard is done by JACME(the Japan Accreditation Council for Medical Education). Accreditation results are valid for a maximum of seven years, and as this period has passed in some universities, they have begun to request a second evaluation. The revision of the Model Core Curriculum is another important topic, especially in medical, dental, end pharmaceutical education. The Model Core Curriculum is defined as the “model” which is formed by extracting the core parts of the curriculum that should be commonly addressed by all Japanese universities when formulating their own healthcare education curricula. As the IR, it will be important to relate two curriculum before and after the revision, and analyze the changes. In addition, the impact of COVID-19 has been affected widely both for the IR and LA, especially by the increasing of technology enhanced education, such as for synchronous / asynchronous education. For these reasons, the organize suggest that the SS for the opportunity to deepen our knowledge of the current status and issues of IR and LA, especially in the field of medical education, before and after COVID-19.
DSIR-SS3: Institutional Research in universities to encourage students to qualify for the national examinations
Organizer: Kenjiro Sakaki (Tenshi College), Kunihiko Takamatsu (Tokyo Institute of Technology)
Abstract: In 2012, the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) proposed the establishment of Institutional Research (IR) in Japanese universities. Most universities have since launched this department. One of the objectives of the IR department is to reform the education system in order to advance higher education. Universities can be classified into two categories. The first type is designed to enable students to qualify for the national examination. The second type includes the universities excluding those under the first type. We can refer to the former as a national license-type university. MEXT promotes higher education reforms in universities. However, the curriculum of the national license-type university has to conform with the rules in order to obtain a qualification for the national examination from the corresponding ministry. Hence, there should be a difference between the IR in a license-type university and a non-license-type university. We will discuss the differences and similarities between the IR in license and non-license-type universities.
SCAI-SS1: Applied Informatics in Finance and Economics (AIFE)
Organizers: Masanori Hirano (The University of Tokyo), Kei Nakagawa (Nomura Asset Management Co, ltd), Yoshiyuki Suimon (Nomura Securities Co., Ltd.); Hiroki Sakaji (The University of Tokyo)
Abstract: With the recent development of informatics and AI technologies, they now play a key role in financial markets and economics. For example, for analyzing a large amount of financial information, computational informatics is necessary to handle them. Moreover, artificial market simulations, computational economics, natural language processing for finance and economics, and deep learning applications for many financial-related and economics-related challenges are also popular. More recently, alternative data exploration for wider informatics approaches is also gaining popularity in the financial and economic industries. Those new technologies have been developed not only by academic researchers but also by market participants. For more development, the collaboration of many participants having various backgrounds is now necessary. In this session, we aim to give them the specialized opportunity to gather and discuss new challenges in finance and economics. We highly appreciate paper submissions from wider financial and economic topics and participation from the wider area, including academic and industrial areas.
SCAI-SS2: Shapley Value Technology for Business Data Analysis
Organizers: Yukari Shirota (Gakushuin University), Basabi Chakraborty (Madanapalle Institute of Technology and Science), Junichi Tomita (Toyo University)
Abstract: In the field of business data analysis, machine learning technologies have been more and more used. The analysis target includes economic, managerial, financial, social, and environmental data. However, in some conferences concerning economics, there is not enough discussions on the data analysis technologies. Especially concerning the latest machine learning analysis methods, there is quite few comments because the audience have not enough knowledge on the machine learning technologies. This special session focuses on the machine learning based regression analysis. In almost all fields in business data analysis, regression analysis is used. As the technology for interpretation of the regression result, Shapley values are essential and has been widely used.
The organizers will propose the special session so that we can discuss the business data analysis method and the interpretation of the Shapley value results. The special session will contribute a lot to business data analysts, because they will be able to know other researcher Shapley value usage methodologies. Therefore, the papers are limited to be business data analysis that uses machine learning regression methods with Shapley value interpretation of the result. As far as the approach uses Shapley values, however non-business data analysis is welcome.
SCAI-SS3: Information Systems and Artificial Intelligence in Society
Organizer: Kazunori Iwata (Aichi University), Nobuhiro Ito (Aichi Institute of Technology), Takeshi Uchitane (Aichi Institute of Technology)
Abstract: Contents: In recent years, there have been numerous technologies in information systems and artificial intelligence for real-world society. They are profoundly and widely adopted by humans living in infrastructures and in their social lives. In the background of their developments, revolutionary and intelligent technologies are still developed for making the following excellent software systems.
This session discusses the research on applied information systems and artificial intelligence and their evaluation when applying the results of the research in these fields to actual society.
BMOT-SS1: Business management system for the revitalization of regional economies
Organizer: Hidekazu Iwamoto (Josai International University)
Abstract: This special session offers business management system for the revitalization of regional economies. Based on all aspects (theory, applications and tools) of business management system, the special session will discuss the practical challenges and future prospects of the topic.
BMOT-SS2: Latest Issues for Business Management
Organizer: Hiroyuki Ono (Chiba Institute of Technology)
Abstract: In recent years, with the development of ICT, companies are required to carry out activities in all aspects such as improving business efficiency and collaborating with other companies and so on. Furthermore, it is necessary to create new services for the future based on various information not only from companies but also from outside. In addition, as we enter the corona era and our lifestyle is changing rapidly, we need to build an enterprise structure that quickly responds to the external environment. The purpose of this session is to share information on solutions and evaluation methods by taking up various problems in management work that are necessary in various aspects of business management. Moreover, we expect to accelerate the studies and to create a new research field through the introduction of best practice, failure case, and work-in-progress issues by contributed papers.
DSTM-SS1: Decision Analysis in Human Activities
Organizer: HIroyuki Maruyama (Takushoku University)
Abstract: With the development of information and communication technology in recent years, the information-oriented society is advancing. For example, we usually carry smartphones (like iPhones and Androids) and use the apps in them. Among them, we use the map function to check our current location and purpose, and use the payment app to pay for shopping. This made it possible to obtain information on various behaviors of an individual, such as when and where the person was and what he or she bought. As a result, we have been able to use the data to make more complex and detailed analyzes of decision making and human behavior.
These analyzes have various application fields such as marketing. This session will provide an introduction to research on decision analysis in human activities such as business and personal. In particular, we will discuss practical topics in the above areas, utilizing several statistical methods and several decision-making theories.
DSTM-SS2: Decision Science on Decision Making Process
Organizer: Takaaki Hosoda (Advanced Institute of Industrial Technology)
Abstract: The special session focuses on the decision making process for human activity, including business, individual and so on. Based on several theories, this session aims to discuss various topics about decision making.