Workshops and Special Sessions

Accepted Special Session List

Submitted special session proposals were rigorously reviewed and accepted the following workshops and special sessions. When you submit your paper to special session, please choose one topic of session at the paper submission system.

ESKM 2019 Special Session
  • ESKM-WSS1: D-Case: Dependability Assurance Case (Organizers: Shuichiro Yamamoto and Yutaka Matsuno)
    • System assurance for new emerging systems becomes very important. For example, components or systems implemented by using machine learning techniques have intrinsic difficulties caused by uncertainty. Specifically, it is impossible to logically or deductively conclude what they can(not) do or how they behave for untested inputs. In addition, such systems are often applied to the open real world with uncertain requirements and environments. As a result, it is more unlikely that we can have strong confidence on completeness of the arguments on system dependability (e.g.,assurance case models). In other words, arguments should be target of continuous validation and update through tests and operations. This workshop facilitates discussion for new assurance method of such emerging systems
LTLE 2019 Workshops and Special Sessions
  • LTLE-WSS1: E-Learning Strategies and Applications (ELSA 2019) (Organizers: Gwo-Jen Hwang, Jie Chi Yang, and Carol Hui-Chun Chu)
    • The aim of this workshop (E-Learning Strategies and Applications, ELSA 2019) is to provide a forum where international participants can share knowledge on the latest developments in e-learning strategies and applications. Topics of this workshop include, but not limited to: Emerging tools and technologies for learning, Learning strategies for technology-enhanced learning, Assessment strategies for technology-enhanced learning, Development of digital content for learning, Domain-specific applications of technology-enhanced learning, e.g., language, arts, engineering, science and social science.
  • LTLE-WSS2: Programming education (Organizer: Shimpei Matsumoto)
    • Information engineering education has faced an extremely important issue of how to support learners not good at programming. To efficiently educate novice programming learners like this, the instructors have to clarify the cause preventing the understanding of programming, and also develop a new teaching method appropriate for each learner’s understanding degree. As far as the authors’ survey, the development of an instructional method for learners not good at programming is insufficient. One main cause of this could be that programming requires various skill such as logical thinking, language, imagination, ingenuity, and of course, mathematical ability. On the other hand, we are not still sure what and how much skill is necessary to master programming. Additionally, there is no method to indicate learner’s skill level in each knowledge domain, so learner is also not sure what kind of skill should be trained to overcome the difficulty of programming. Therefore, to show the appropriate direction for learning, it is necessary to clarify what kind of basic skill is trained by reading/writing program code. Besides, programming lecturer also should provide opportunities enabling novice learners to touch source codes easily by providing some kind of tool such as a learning management system (LMS). Since LMS can not only support daily programming education but also effectively collect learning log data which will contribute to defining the understanding degree in each skill field, it would be effective for supporting a learner not good at programming. This session contributor will provide papers discussing programming education for not only higher education institutions but also for primary schools. Examples of the techniques to improve programming education include mathematical/statistical approaches, cognitive science, information system engineering, survey methods, presentation of case studies, problem finding technique, and so on.
  • LTLE-WSS3: Learning support for a new educational paradigm (Organizers: Jingyun Wang and Kosuke Kaneko)
    • Over the last decades, various new learning support techniques, tools or systems have emerged based on all kinds of old or new learning theories. Diverse factors are incorporated into new learning environments to enhance learning motivation and encourage active learning. Under those new learning environments, a wealth of learner data can be exploited for exploring learner cognitive processing from different perspectives. A new educational paradigm is expected to be formed for knowledge modeling and learning support designing.
  • LTLE-WSS4: Trends in Technology-Enhanced Language Learning (Organizer: Yuichi Ono)
    • The rapid advancement of technology has transformed our daily lives and has open many new doors for instructional designs and curriculum materials that engage language students and improve learning. This Special Session welcomes contributions that concern rationale, theories, pedagogies, and best practices for the use of computers for language teaching and learning. The goals are to stimulate discussion among Technology-Enhanced Language Learning (TELL) scholars/practitioners about the advantage and issues of current research and practices in the use of advanced technology in language education, and to provide insights into the design, development, and evaluation of language learning environment using technology for successful language instruction.
DSIR 2019 Workshops and Special Sessions
  • DSIR-WSS1: Developments in Open Science and Research Data Management (Organizers: Takaaki Aoki, Miho Funamori, and Eiri Ono)
    • Open Science and research data management have been gaining traction since the joint declaration of G8 Science Ministers in 2013. The idea is to make academic research output openly available for the sake of humankind, with a strong focus on making research data available. Research data denotes any data obtained during the research process and encompasses raw data as well as cleansed and/or processed data. In the data-intensive age, research data and its handling play an important role in the excellence of research achievements and innovations. Thus, Open Science and research data management have become an important agenda for researchers and policymakers.
      Although still at its infancy, Open Science and research data management have seen some developments by various stakeholders. Citizen science initiatives have started; researchers are becoming aware of the importance of research data management and also research transparency and reproducibility; research data management tools are developed and applied; new standard for research data management set up; funding agencies are set to establish policies for their publicly-funded research outputs, data management plans are especially in play; governments are also setting policies for Open Science and also for preventing scientific misconducts.
      Open access of research publications, where there has been movement since the 1990s already, has also seen a new and very bold developments in the last several months. Eleven European funding agencies proposed the so-called “Plan S” which requires immediate open access for all research articles published. It aims to publish all research articles in open access journals prohibiting to publish in hybrid journals which are closed and subscription-based and makes the research articles openly available upon payment of article processing charge by the respective researchers. Hybrid journals are only allowed when they have agreed on the so-called transformative agreement and are going to transform themselves to open access journals within three years. Such enforcement to the publishers as well as researchers is strongly debated.
      This session will cover these various efforts around Open Science. Since there are not many academic venues on this topic, the session will be a valuable venue for the community.
  • DSIR-WSS2: Case Studies of Institutional Research and Learning Analytics in Medical Education – Current Trends and Issues – (Organizer: Yoshikazu Asada)
    • Nowadays, institutional research (IR) and learning analytics (LA) have become a trend in medical education.
      For instance, the Japan Accreditation Council for Medical Education (JACME) evaluates medical universities in Japan based on the Japanese specifications of World Federation for Medical Education (WFME) global standards for quality improvement. In these standards, “program monitoring” is defined as “the routine collection of data about key aspects of the curriculum for the purpose of ensuring that the educational process is on track and for identifying any areas in need of intervention.” Data collection is also defined as being “part of the administrative procedures in connection with admission of students, assessment and graduation.” These definitions indicate the need for IR, including enrollment management and curriculum evaluation.
      In the global standards, “program evaluation” is defined as follows: “the process of systematic gathering of information to judge the effectiveness and adequacy of the institution and its program.” This would imply the use of reliable and valid methods of data collection and analysis to demonstrate the qualities or core aspects of educational programs in relation to the mission and the curriculum, including the intended educational outcomes. The involvement of external reviewers from other institutions and experts in medical education would further broaden the base of experience for quality improvement of medical education at the institution.
      Another trend is learning analytics, which is based on technology-enhanced learning. For instance, some lectures and exercises are conducted through correspondence education, such as e-learning, in the training system for nurses pertaining to specified medical acts. Since this training system is accredited by the Japanese Ministry of Health, Labour and Welfare, each institution has to submit the results of education every year. In this situation, the final scores of the course as well as the formative assessment data from LMS and e-portfolios are needed. Although this is for the evaluation of education, these educational data are also useful for formative assessments and for supporting at-risk learners.
      Thus, IR and LA are used for several purposes in medical education. However, although many previous studies and works on institutional research exist, this knowledge and information may sometimes not be suitable for medical education because of the particularity of the medical education system.
      This special session will cover the following topics about data management in medical education and discuss current trends and issues:
      (1) Global standards and the current situation of medical education program evaluation
      (2) Case studies of IR and LA for program evaluation
      (3) Discussion about trends and issues of IR and LA
  • DSIR-WSS3: Direction of Changes in Higher Education Toward the Coming Era (Organizer: Yoshihiko Shoji, Michiyo Shimamura)
    • In the last 20 years the higher education system of the world has changed significantly in terms of its educational goal and educational skill with new technology. Although it is still in the midst of that change, it is also a time to think further educational form in the medium to long term up to “Singularity”. In this session, we will focus on the current higher education system and its direction of change, thereby advancing discussion about the future image of higher education. In order to deepen understanding and discussion, we sincerely welcome contributions of researchers from LTLE. We expect opinions from the view point of new educational technology, where researchers from DSIR would contribute from the side of educational institutions that make full use of this technology.
      The current changes in the goals of higher education are due to the arrival of a knowledge-based society and globalization of our society. With the development of various technologies, many occupations have disappeared and new professions are about to be born. Disappearing is a simple work done effectively by machines and computers, and newly born is a profession where human intellectual ability is required. The ability to be sought after this change would be a more flexible intellectual capability that is not easy in AI at least in the very near future.
      For example, in medical diagnosis, AI will propose the necessary examination from the database of symptoms and also propose treatment plans. Doctors are required to use AI under control and make further judgment if necessary. The capabilities required by globalization are also the same. When one needs a simple transmission or reception of information between international, the translation function of AI will be sufficient. Then as for foreign language ability, it is supposed to be used for more than just information exchange. These are only examples of various occupational changes. Higher education would aim to acquire capabilities that exceed the traditional value or to have different kind or quality.
      Also the information technology has brought a change in educational technology and methods. We can not draw a future image without taking direction of technology. That change is not just IT equipment and network as new educational tools. Analysis of various big data on students and educational outputs will make applications of, for example, statistics of modern test theory and knowledge of educational psychology much easier. Also through the quality assurance of education and visualization of student mobility, the possibility of ensuring equality of “educational opportunities” will increase.
      We are approaching to a transformation that may bring new educational base beyond just a new educational program. Higher education institutions will be expected to undergo major organizational changes in the future. For faculty members, ability to respond to new educational methods and systems is required. The introduction of a new educational framework is a major investment and will be a problem in management of the university. The generalization of education using AI would require the introduction of human assets into the difficult part of AI. Education that gives priority to cost tends to be more uniform. Then the demerit of losing variation of education would be another discussion theme, that already started in philosophy education.
      The change is already in progress, and even bigger changes can be expected. Although we cannot predict our exact future, in order to prepare for the change, it is necessary to clarify the present situation and its change vectors, and hopefully a perspective from a mid- to long-term scape. In this joint session we expect to examine the difficult task from a compound eye viewpoint up to “Singularity”.
      This Multi-Conference IIAI has functioned as a forum for information exchange and discussion among researchers from different fields. Again we emphasize that with this common theme, contributions from LTLE, DSIR and other conferences would accelerate the the move toward more exchange of informations and opinions among researchers in multiple fields.
  • DSIR-WSS4: Eduinformatics (Education + Informatics) of Higher Education (Organizer: Kunihiko Takamatsu)
    • About 15 years ago, the human genome consortium, that consists of many researchers from all over the world, had sequenced the whole human genome. The human genome includes about three Giga base pairs. Many informaticians joined the human genome project adding the two fields of computers and informatics to this project because the original researchers found it impossible to analyze the data manually. This phenomenon led to the creation of a novel interdisciplinary field called bioinformatics, which is so named because it combines the two fields of biology and informatics.
      Recently, research on higher education has increased greatly. Additionally, the establishment of Institutional Research (IR) has been promoted in Japanese universities. This situation is similar to the era when bioinformatics was being developed. This is especially true since a lot of educational research is “evidence-based” similar to evidence-based medicine. However, this type of research is extremely difficult with conventional pedagogical techniques alone. Higher education can develop dramatically if researchers can apply informatics to their data, for example, statistics, machine learning (AI), data science, and so on, just as biology developed dramatically with the advent of bioinformatics.
      In this special session, I would like to discuss the “Eduinformatics” of higher education. I would also like to use this opportunity to enable the improvement of higher education.
  • DSIR-WSS5: Statistical Methods for Institutional Research (Organizers: Gen Hori, Yoshihiko Shoji)
    • Emerging techniques in applied mathematics including statistics and natural language processing such as machine learning and text mining play essential roles in practical problems in the real word. Those techniques are also expected to solve present problems in institutional research such as dropout prediction, analysis of examination results and information retrieval from questionnaire text data.
      Prospective authors are invited to submit original works that employ mathematical methods including but not limited to the above-mentioned ones to solve problems in institutional research.
  • DSIR-WSS6: The Education of “Transferable Skills” for the Graduate School Students, Specialists and Professionals (Organizer: Michiyo Shimamura)
    • The social demands to the specialists and professionals have been changed significantly in the last two decades because of the globalization. In the present “Knowledge-based Society”, the role of the higher education, especially graduate school level, becomes more important than ever with respect to the development and promotion of the society, economy and culture.
      The graduate schools had been considered to be the platform to provide highly specialized and research-oriented education based on the undergraduate-education for the students. Its significance in the society is continuously expanding in today’s world as a “Hot Spot of Knowledge Creation”. This knowledge creation leads to creation of new discipline and innovation by the fusion of the research fields. Therefore, huge social resources have been spent to maintain this education system.
      However, the universal abilities such as the “transferable skills” are not targeted of the learning outcomes. Because of this situation, Ph. D holders who have “low transferable skill-high specialty” become a problem in the compatibility with the labor market in Japan. These issues make the need of additional education even after get Ph.D.
      In this special session, I would like to have the “Evidence Based” discussion about the education of “Transferable Skills” for the graduate school students, specialists and professionals. Also I hope to make this opportunity as a place to improve graduate education itself.
SCAI 2019 Workshops and Special Sessions
  • SCAI-WSS1: Energy efficient embedded AI processor (Organizer: Kazutami Arimoto)
    • Embedded AI applications with sensor fusion will be expanding. Especially, energy efficient AI processors are the key elements. The compact DNN model with power managements, effective pre and post processing for DNN processing, high density circuits and memory techniques with parallel and/or pipeline archtecture, and implementation technique on ASIC and/or FPGA, are the main scope of this special session.
      Additionally, the compress sensing processing for the data volume reduction and light learning process are also the key factors for many kinds of sensors output.
      These embedded AI processors and sensing processing are adopted in the edge computing with high energy efficiency and are connected with cloud computing in the cyber physical systems.
  • SCAI-WSS2: Practical Financial Informatics (Organizers: Hiroki Sakaji, Kiyoshi Izumi, Hiroyuki Sakai)
    • In recent years, artificial intelligence methods and technologies have been applied to various aspects of the financial market. For example, a method of analyzing large amounts of financial information to support investment decisions has attracted much attention. In addition, the number of individuals investing in securities markets is increasing, leading to an increasing need for technology to support the investment decisions of these individual investors.
      Artificial markets are often used for analyzing effects of new regulations. Investors are beginning to acquire information from financial texts using text mining methods. These practical approaches are needed by market participants.
      Therefore, we propose a new specialized session that can widely recruit and publish practical research on finance. In this session, we will actively recruit presentations from corporate researchers as well as university researchers. We believe that a specialized session for addressing these technologies is strongly required.
  • SCAI-WSS3: Digital Lives – Scenarios at the edge of technological singularity (Organizer: Thomas Keller)
    • A fundamental question in dealing with digital change is whether the relationship between human and machine can be deliberately shaped or whether, sooner or later, human destiny will inevitably be determined by superior machine intelligence. If we choose the constructive path and decide to accept our digital future as a design challenge, how can we formulate our vision and our requirements for a desirable state? And what is “desirable,” or at least “acceptable” or “bearable”? What is “risky” or even “dangerous” – and from what perspective? What can be done to enable human and social sciences to articulate such perspectives and requirements?
      Technological singularity is a hypothesis that conjures up an era in which exponentially advancing technological development will outpace human development and lead to superior machine intelligence, which will then optimize itself continuously and ultimately make human destiny unpredictable. The nature and arrival of technical singularity have been discussed (and continuously postdated) since the 1950s. The first predictions of information theorists and science fiction authors were vague, but with the achievements of the Internet age and artificial intelligence (AI), in particular, they became increasingly concrete and imaginable, including computers that are “awake” and superhumanly intelligent, distributed computer networks joining forces to form an intelligent entity, intimate human-computer interfaces that emulate or even replace social interactions. The terms trans- or posthumanism extend this vision to include technologies that enhance human biology and intelligence considerably, all the way to a complete fusion of human and machine existence. And there are equally extreme counter-propositions that foresee a collective storm of “neo-Luddites” in the face of technological totalitarianism, as the only salvation for human self-determination. Whether these potential realities of our digital future are utopias or dystopias, they have always triggered reflections as to whether technological singularity is avoidable, desirable, and, ultimately, shapeable from a human perspective.
BMOT 2019 Workshops and Special Sessions
  • BMOT-WSS1: Tourism sciences in the business of hospitality and travel (Organizer: Hidekazu Iwamoto)
    • This special session offers tourism-related studies for the business of hospitality and travel. Based on all aspects (theory, applications and tools) of computer and information science, the special session will discuss the practical challenges and future prospects of the business of hospitality and travel.
  • BMOT-WSS2: Service Design and Sustainable Society (Organizer: Hidehiko Hayashi)
    • In recent years on the emerging service-based view, there has been progress in developing smart and high-end information technologies based on intelligence infrastructure. It has been used widely in various areas like community, platform, media,traffics,information and intelligence system in sustainable society. There are a few key elements of IT systems for service design in the service/knowledge-based society. Their systems used active technologies have been discussed. In this session, we focus on service design and sustainable society. Service design is an important concept which engendering the future of service-based society with advanced knowledge and practical wisdom. We are expecting the latest IT, AI, VR, IoT and service design could be extensive discussed. Field of research in this session includes business management,management strategy,supply chain management, digital plat former, big data, organization learning, digital marketing,intelligent system, high-presence system, advanced information system and so on.
  • BMOT-WSS3: Mathematical optimization for industrial applications (Organizer: Satoshi Takahashi)
    • Mathematical optimization is the core technology of machine learning and data science. Mathematical optimization has been used historically in the industrial world for production planning, procurement, quality control, and the like. In recent years, research on efficient algorithms for machine learning and data science and research on algorithms for large-scale real problems are popular. Research topics on D2C ( Direct to Customer ), which is a framework of new corporate transactions, are also actively researched. Among them, academic contribution to mathematical optimization technology’s auction theory is very large. In this special session, we will address lectures on application of mathematical optimization to the industry, examples of application to concrete technological development, latest topics of machine learning algorithms, latest research topics on commercial transactions etc.
EAIS 2019 Workshops and Special Sessions
  • EAIS-WSS1: Customer Value and Open Dependability (Organizers: Junkyo Fujieda and Shuichiro Yamamoto)
    • The digital technologies are rapidly changed the business and technology infrastructures environment of enterprises. Enterprises need to create customer values by adapting the digital technologies. It is necessary to establish approaches to design new business models using digital technologies. This new trend also causes the evolution of Enterprise Architecture and information systems. The digital technology may introduce another difficulties such as privacy and security problems. Therefore, the dependable evolution of EA is necessary. Enterprise Architecture is expected to support the value creation in a dependable manner.
      We need to tackle such difficulties on value creation and dependability for complex digital systems in an uncertain world with a dependable way.
      This special session aims to bring together researchers and practitioners in the areas of customer value chain modelling, digital business patterns, customer value creation and dependable enterprise architecture development for the complex and uncertain digital enterprise systems to exchange values. Especially, we would like to discuss how to create and assure customer values in enterprise architecture at the special session.
      The objective of the special session reveals (1) important problems to be tackled for creating business values on Digital Enterprise Systems and (2) research challenges through presentations and the discussion. The topic includes customer value models, pattern-based dependability modelling, dependability assurance, reliability modeling, business pattern modeling, and experiences for Enterprise Architecture and Information systems development.
  • EAIS-WSS2: Management Issues in Social Systems Science (Organizer: Motoi Iwashita)
    • Economics, enterprise activities, ecology, local activities etc. in our daily life become more multifaceted and complicated based on accelerating development of information technology such as broadband networks, cloud computing technology, wearable devices, virtual coin and so on. Therefore, it is necessary to understand such kind of issues as social system and to apply systematic and systemic approaches against various issues of these fields. Moreover, it is expected that new ideas/approaches/theories are produced by the interaction of the conventional research fields as interdisciplinary researches. In other aspects, the information system and network are expected to solve a sense of stagnation such as economic recession, environmental load, global heating, and coming aging society.
      The aim of this session is sharing ideas and technologies to cope with these issues. 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.
  • EAIS-WSS3: The Trends of Information System on the Perspective of Disruptive Technology on the Industry 4.0 (Organizer: Ford Lumban Gaol)
    • Nowadays, a lot of information systems which use/utilize a sort of kind of infrastructure and data are invented. In the past, it was not easy to use big data, connect network and machine, apply AI techniques and optimization techniques due to lack performance of computers in information systems. However, in this decade, as many types of technologies are matured, invented techniques and developed information systems need to synchronize to run and cooperate well with each other. When this synchronization is done well, the value of service and support becomes high quality. In this special session, we concentrate the emerging technologies in Industry 4.0 era. Industry 4.0 focuses on the “smart” with cyber-physical systems. The cyber-physical system is to provide and maintain about harmony between real world and cyber world. For example, each machine has sensors to monitor external environment to make a decision and help and support people well. Furthermore, in some well-designed system, several machines cooperate with each other based on data captured and obtained by sensors, stored past data, decision making by learning technologies, and operation by human. This session provides current information systems towards Industry 4.0 and their future perspectives.
  • EAIS-WSS4: Corporate Risk of Information Leakage: Risk Visualization with ArchiMate (Organizer: Natsuko Fujikawa and Shuichiro Yamamoto)
    • In recent years, cases have frequently arisen that companies leak information such as customer data. Despite the fact that information leakage greatly diminishes the reliability of a company, measures to protect important customer information are not sufficient. Therefore, in this research, we analyzed cases of corporate information leakage using ArchiMate, and tried to visualize corporate risk of information leakage. First, the causes of information leakage were classified as internal and external factors. Second, the cause of information leakage was classified as individual (actor) level, physical level, organization level. As mentioned above, through analysis of the cases of information leakage in the past, it became clear that enterprise information leakage can identify six types. We concluded as to what kind of countermeasure is required for each type.
  • EAIS-WSS5: Goal oriented architecture inspections (Organizer: Shuji Morisaki)
    • The goal-oriented framework gained effectiveness and efficiency in the areas of requirement engineering. Several studies investigated the goal-oriented architecture design. The next steps of the goal-oriented framework include architectural reviews and inspections. The proposed special session aims at discussing the goal-oriented architecture and its reviews and inspections as verification and validation approaches. The topics of the proposed special session include:
      (a) The difference between the previous reviews and inspections techniques such as inspection scenarios defined in defect-based reading and perspective-based reading techniques,
      (b) Approaches to extend usage-based reading (prioritized use cases as goals),
      (c) Metrics to measure the effectiveness and efficiency of the goal-oriented architecture reviews and inspections,
      (d) Types and criterion of the target architectures that are appropriate for goal-oriented architecture reviews and inspections,
      (e) Relationships and correspondences between the goal-oriented architecture reviews and inspections and the following testing, and
      (f) Modeling approaches and notations for the goal-oriented architecture reviews and inspections.
  • EAIS-WSS6: Alignment of Organization’s Goals, Strategies and Data (Organizer: Hironori Washizaki and Katsutoshi Shintani)
    • For any enterprise, it is important to align organization’s goals, strategies and data. There are various approaches proposed for this objective such as GQM+Strategies, which was developed by Basili et al. as an extension of Goal-Question-Metric (GQM) paradigm. GQM+Strategies aligns and assesses the organizational and business goals at each organizational level to the overall strategies and goals of the organization. This special session addresses the state-the-of-art of such approaches and discusses future directions. Topics include but not limited to: new alignment techniques, extension of existing alignment techniques, combination of existing techniques with other related approaches such as systems modeling, and, empirical study and case studies of existing techniques.
  • EAIS-WSS7: Holography and 3D imaging techniques (Organizers: Tomoyoshi Shimobaba, Takashi Kakue, and Tomoyoshi Ito)
    • This special session discusses holographic 3D display, holographic imaging (digital holography), and related technologies (e.g. holographic projection, holographic memory, optical encryption). In recent years, holography attracts attention not only from universities but also from companies, in order to record and reproduce 3D information of light faithfully. For example, since the conventional head-mounted display is a stereo system, it is difficult to use for a long time. Since the holographic head mounted display can reproduce the wave-front of light, it has the potential to provide virtual reality and augmented reality with realistic sensation over a long time. Regarding holographic imaging, since measurement targets can be visualized in three dimensions at the wavelength order of light, it is drawing attention in bio-imaging and industrial fields. This session is a place to present research on hologram calculation algorithms, optical techniques, and holographic applications. We also welcome to present other 3D display and imaging techniques; e.g. integral imaging.



How to propose your Workshops and Special Session

  1. An applicant for an IIAI-AAI special session organizer must submit a proposal via the website ( ). The proposal should include the following 7 items:
    • Organizer’s Name
    • Organizer’s Email address
    • Organizer’s Affiliation
    • Country
    • Title of Special Session
    • Theme(*)
    • Abstract of Special Session (between 150 and 500 words)

    (*) If the applicant was asked by some sub-conference chair to be a special session organizer of the sub-conference, please select the name of the sub-conference. Otherwise, please select “Others”.

  2. The IIAI-AAI 2019 committee will review the proposal after receiving it, and notify the result to the applicant in about one week. If accepted, the applicant to the special session organizer is requested to submit the reviewer list to the special session chair in one week. Moreover, the special session organizer must pay attention to followings.
    • The special session requires at least 5 papers.
    • Please select the best paper of your special session. The best paper will be invited to submit special issues of post conference publications.
    • All papers will be peer reviewed and accepted papers will appear in the Conference Proceedings to be published by CPS and Conference Proceedings will be submitted to be indexed by EI, INSPEC, DBLP and Thomson ISI.
    • The special session organizer must register to the conference.
    • Special session organizer chairs your special session in the conference.
    • Please pick the “certificate of organizing special session” up at the reception desk of the conference venue.
  3. Call-for-paper or other information about the special session will be shown in the following website ( ).
  4. The organizer will receive the information of schedule and procedures about paper submission and review, publication of the proceedings, and conference management. The organizer is requested to utilize the IIAI-AAI 2019 website for paper submission. In the website, the organizer can assign papers to reviewers, and report review results to IIAI-AAI 2019 committee.

Benefit for special session organizers

The organizers can gather people who are interested in the theme you are also interested in, and referee the submitted papers based on your criteria. Some papers in each special session can be nominated for journals.

Workshop and Special Session Proposal


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Title of Workshop and Special Session (required)

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(*) If the applicant was asked by some sub-conference chair to be a special session organizer of the sub-conference, please select the name of the sub-conference. Otherwise, please select “Others”.

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