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: Information Fundamentals and Access Technologies in the Era of Artificial Intelligence
- ESKM-SS2: Smart Data Driven Technology and Sustainable Society
- ESKM-SS3: Practical use of ICT to solve social issues
- LTLE-SS1: Various learning systems with learning technologies
- LTLE-SS2: Practice-driven Research on Learning Environment and Learning Technology
- DSIR-SS1: Open Data and Popularization of Data Analysis
- DSIR-SS2: Institutional Research in universities to encourage students to qualify for the national examinations
- DSIR-SS3: Case Studies of Learning Analytics and Institutional Research in Healthcare Professional Education with / after COVID-19
- BMOT-SS1: Applications of Optimization for Best Choice
- BMOT-SS2: Business management system for the revitalization of regional economies in COVID-19 pandemic
- EAIS-SS1: Special Session on Software Reliability and Data Analysis
- EAIS-SS2: Latest Issues for Business Management
- EAIS-SS3: Improvement, Innovation and Change in Business and Society
- DSTM SS-1: Application of Stochastic Programming
- DSTM-SS2: Decision Science on Decision Making Process
- DSTM-SS3: Decision Analysis in Human Activities
Title: Information Fundamentals and Access Technologies in the Era of Artificial Intelligence
Organizer: Hidetsugu Nanba, Satoshi Fukuda, Hiroaki Ohshima, and Teruhito Kanazawa
Affiliation: Chuo University, University of Hyogo, and National Institute of Informatics
Abstract: Information fundamentals are fields for the study of basic problems inherent in data, knowledge, and information, which have been accumulated rapidly in accordance with the development of computers and networks. This session focuses on basic theories and applications related to information fundamentals and access technologies. Basic theories and applications in the following or related fields will be covered: (1) Modeling of Information and Users, (2) Organization, Structuring, and Management of Information, (3) Information Access and Mining (Information Retrieval, Question and Answering, Summarization, Classification, Extraction, Recommendation, Opinion and Trend Analysis, Visualization, etc.), (4) Multilingual, Web, and Mobile Information Processing, (5) Construction, Retrieval, Classification, and Management of Metadata/Content, (6) Electronic Libraries, Knowledge Discovery, Representation, Organization, and Utilization, and (7) User Interface
Title: smart data driven technology and sustainable society
Organizer: Hidehiko Hayashi
Affiliation: Hokusei Gakuen University
Abstract: In recent years on the interdisciplinary service-based view, there has been progress in developing smart and high-end information technologies based on intelligence sustainable infrastructure. It has been used widely in various areas like industry, education, medical information, and intelligence system. There are a few key elements of IT (Information Technology) systems for sustainable service in the knowledge-based society. Systems with sustainable progressive technologies have been discussed for all future generations. In this session, we focus on smart data driven technology and sustainable society. Sustainable society is an important concept which engendering the future of service-based society with advanced knowledge and practical wisdom. We have a discussion about the latest IT AI (Artificial Intelligence), DX (Digital Transformation) CI (Collective Intelligence), IoT (Internet of Things), XR (VR/AR/MR), RPA (Robotic Process Automation), HR tech, and service management study. Field of research in this session includes institutional research, data science, intelligent system, mobile application, high-presence system, data analysis, advanced information system, etc.
Title: Practical use of ICT to solve social issues
Organizer: Shiroh Itai
Affiliation: Hiroshima Institute of Technology
Abstract: In the future, rapid population decline, declining birthrates, and an aging population of a different dimension are expected to become global issues. In the face of such future challenges, attention is focused on what kind of solutions can be provided through the utilization of ICT services and technologies. Therefore, this special session targets the use of ICT to solve social issues such as education, medical care, aging society, and so on. In other words, researchers and practitioners who are interested in practical research such as the use of web systems, IoT, robotics, and sensing technologies in the field will introduce and discuss practical examples and prototypes for implementation. The topics of interest include, but are not limited to; (1) ICT systems to support educational activities; (2) Utilization of ICT and robots, sensing technology, and evaluation methods in the medical and nursing care fields; and (3) Automation and optimization systems to support human activities
Title: Various learning systems with learning technologies
Organizer: Noriko Uosaki, Kousuke Mouri, Takafumi Tanaka, Nehal Hasnine
Affiliation: Osaka University, Hiroshima City University, Tamagawa University, Housei Univerity
Abstract: Recently, many researchers have developed various learning systems with cutting edge learning technologies such as learning analytics, virtual reality and augmented reality. By using the developed learning systems, it is very important to consider visualizing and analyzing learning logs in order to enhance learning activities, learning performance and learning contents. This session wishes contributing learning analytics and educational data mining fields by sharing useful opinions and thinking among researchers about studies regarding software development, language learning, data analytics, virtual reality and augmented reality. We invite researchers to submit original research work in the following topics, but not limited to: (1) Learning analytics and educational data mining, (2) Artificial Intelligence (AI) , (3) Virtual Reality (VR) or augmented reality (AR) platforms or other content management systems integrating external tools, (4) language learning researches, (5) Practical examples: e-portfolios, quizzes, infographics, mind-maps, and mobile apps, etc, (6) Assessment and evaluation of technology enhanced language learning, (7) Learning styles and strategies for technology enhanced language learning, and (8) Innovative pedagogy and instructional methods via cutting-edge technology, such as PBL, flipped classrooms, and reciprocal teaching, etc.
Title: Practice-driven Research on Learning Environment and Learning Technology
Organizer: Yuichi Ono
Affiliation: University of Tsukuba
Abstract: This special session, Practice-driven Research on Learning Environment and Learning Technology, welcomes contributions that are relevant with research on effective practice of ICT innovation. Covid-19 empowered online learning environment and the post-Covid paradigm requires a fruitful defusion of academic findings into classroom instructions under the context of enhanced blended learning environment. This session includes the issues of ICT innovation in education, technological innovation, and their pedagogical and methodological concerns. This session further aims at explorations of technological innovation and enhancement of practice-driven research and evidence-based education in the context of sustainable practices in the classroom. Additionally, the goal of this session is to explore relationships of parents, students and teachers in the context of ICT in Education. This session welcomes the research papers of the following, but not limited to, topics: (1) ICT innovation in education, (2) Effective practices of ICT in education, (3) Pedagogical and methodological issues and other concerns in LTLE, (4) Innovations to support practice-driven research and evidence-based education, (5) Teachers’ professional development for promoting ICT in education, and (6) Initiatives, planning and analysis of policies on ICT in education
Title: Open Data and Popularization of Data Analysis
Organizer: Kahori Ogashiwa(1), Soichiro Aihara(2), Toru Sugihara(3), Kumiko Kanekawa(4)
Affiliation: (1)Ochanomizu University, (2)Shibaura Institute of Technology, (3)Kanto Gakuin University, (4)Research Organization of Information and Systems
Abstract: With the recent enhancement of open data and the spread of computers and technological innovation, the analysis of such data has become popular. In particular, statistical information from governments and local governments is structured, and it has become possible for the general public to verify policies made by governments and local governments. In this special session, based on this situation, we will introduce various examples of data analysis using open data, develop analysis methods, report on the use of data analysis, and discuss the potential of this topic.
Title: Institutional Research in universities to encourage students to qualify for the national examinations
Organizer: Kenjiro Sakaki, Yasuo Nakata, Kunihiko Takamatsu
Affiliation: Tenshi College
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.
Title: Case Studies of Learning Analytics and Institutional Research in Healthcare Professional Education with / after COVID-19
Organizer: Yoshikazu Asada
Affiliation: Jichi Medical University
Abstract: Because of the COVID-19, many universities have emphasized online-based education, both synchronous and asynchronous. There were several changes during the pandemic, such as the implementation of Learning Management Systems for online learning, and the substitution of the clinical clerkships with the Web Conference Systems or some Virtual Reality contents. Although they were the emergency response to COVID-19, they should be evaluated for continuous use of online education. In this session, the following topics about data management in medical education will be covered and be discussed current trends and issues for healthcare professional education with/after COVID-19: (1) Global standards and the current situation of medical education program evaluation, and (2) Case studies of learning analytics and institutional research under the pandemic. Note that sometimes the word “learning analytics” and “institutional research” are used separately; the former is for micro-level such as the formative feedback for students, and the latter for macro-level such as the program evaluation. Since both are important for the improvement of education, this session will cover the two of them.
Title: Applications of Optimization for Best Choice
Organizer: Koji Okuhara
Affiliation: Toyama Prefectural University
Abstract: In our special session, we will discuss the following topics in Business Management of Technology: Inventory Management, Risk Management, Production Management, Supply Chain and Supply Chain Management, Management, Decision Support, and Novel Frameworks for Innovation. The theme that brings the topics together is the application of optimization methods for best choices. In this session, we will present our research results on optimization methods for making optimal choices for cases in the fields of production, finance, evaluation, and chemistry and so on. For example, in the production field, in order to realize a resilient multi-product, multi-stage production and inventory system, the AVaR, a risk assessment index, can be optimized by selecting the allowed values according to the graph structure of the production process, and the AVaR can be optimized by selecting the allowed values according to the graph structure of the production process. In the field of finance, the optimal strategies are constructed by selecting time legs and indicator parameters that reconstruct high-frequency data based on the analysis of exchange and inter-market data. Furthermore, in the field of evaluation, the development of a system that supports rational comprehensive evaluation based on multiple evaluation criteria and about the field of chemistry, the results of chemoinformatics research using feature selection and clustering for predicting enzyme numbers in organic synthesis.
Title: Business management system for the revitalization of regional economies in COVID-19 pandemic
Organizer: Hidekazu Iwamoto
Affiliation: Josai International University
Abstract: This special session offers business management system for the the revitalization of regional economies in COVID-19 pandemic. Based on all aspects (theory, applications and tools), the special session will discuss the practical challenges and future prospects of the topic.
Title: Special Session on Software Reliability and Data Analysis
Organizer: Junjun Zheng, Chen Li
Affiliation: Ritsumeikan University, Kyushu Institute of Technology
Abstract: This special session aims to demonstrate the recent and advanced research in software reliability and data analysis. In software systems, especially mission-critical systems, the severity of consequences resulting from failure is very high, thus the development of highly reliable software becomes a vital concern for engineers and practitioners. On the other hand, data analysis is crucial in a variety of engineering tasks, such as quantifying the system’s reliability and characterizing failures. However, the rise of cloud computing makes applications, software, and networks produce massive amounts of numeric data, textual data, and log files every moment. The questions of how to judge the effect of different data on software reliability and how to analyze such data have become challenges that researchers must face. Academia and industry widely recognize the inherent potential of reliability and data analysis for assessing the reliability of software and computer systems. Data analysis in these specific areas poses many challenging research questions due to the heterogeneity, volume, and velocity of the collected data, the lack of systematic end-to-end analysis procedures, the increasing diversity of analysis objectives, and emerging application domains in critical areas. This special session seeks to provide a venue to discuss the advanced discoveries and emerging trends related to software reliability and data analysis in both the academic society and the industrial world.
Title: Latest Issues for Business Management
Organizer: Motoi Iwashita
Affiliation: 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 a 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.
Title: Improvement, Innovation and Change in Business and Society
Organizer: Hideto Ogasawara
Affiliation: Chiba Institute of Technology
Abstract: Modern society is facing many challenges. Many problems, such as declining birthrate and aging population, social fragmentation, growing disparities, employment, security, disaster prevention, climate change, pandemics, diplomacy and defense are all interrelated and difficult to solve. Furthermore, the accelerating globalization and the rapid development of digital and other technologies are making it difficult to predict our future. We are living in the midst of a VUCA era, where change is rapid and unpredictable. VUCA is an acronym that stands for Volatility, Uncertainty, Complexity, and Ambiguity. In these times, three perspectives are important: improvement, innovation, and change. First of all, we need to build on improvement activities to make the present better and lead to innovation. And, what is needed to transform society in a desirable direction is the ability to be flexible in the face of change, to recognize complex events, to accept diverse values, and to have a holistic outlook and to be able to explain everything at a glance. Then it is necessary to set appropriate desired values and to realize them. These are the concepts of program management. To consider and discuss such social change and program management will be of great significance for the future of business and society. In this session, we would like to discuss with the participants how we can contribute to better and sustainable future with this theme.
Title: Application of Stochastic Programming
Organizer: Takayuki Shiina
Affiliation: Waseda University
Abstract: Mathematical programming has been applied to various fields in everyday life. However for many actual problems, the assumption that the parameters involved in the problem are deterministic known data is often unjustified. These data contain uncertainty and are thus represented as random variables, since they represent information about the future. In this session, we consider a mathematical programming problem in which some parameters are uncertain.
Decision-making under conditions of uncertainty involves potential risk. For example, setting up too few new plants in the supply chain, may result in a shortage of capacity for future demand. On the other hand, excessive investment will cause an excess of capacity. Our problem is thus a strategic decision problem under uncertainty, and can be viewed as a stochastic programming problem. Some applications of stochastic planning to real problems are shown in this session.
Title: Decision Science on Decision Making Process
Organizer: Takaaki Hosoda
Affiliation: 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.
Title: Decision Analysis in Human Activities
Organizer: Hiroyuki MARUYAMA
Affiliation: Advanced Institute of Industrial Technology
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.