IC4e 2026|Tutorials

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Call for Tutorials

Tutorials at the 2026 17th International Conference on E-Education, E-Business, E-Management and E-Learning (IC4e 2026) will be hosting a series of Tutorial Sessions (half-day or one day) and therefore invites submission of Tutorial Proposals. Tutorials should provide a focused lecture highlighting new and emerging topics within the scope of communications. We seek for tutorial proposals in this call.

In order to propose a tutorial to IC4e 2026, please register your name, title of the tutorial and a summary of the tutorial via email and upload the details of your tutorial proposal. The tutorial proposal should describe concisely the content, importance and timeliness of the tutorial.

Each submission must include the following information:

Title
Duration: half day (3 hours) or full day (6 hours)
Presenters: Names, affiliation, contact information (email and mailing address), and short bio for each presenter.
Description: A description of the tutorial topic, providing a sense of both the scope and depth of the tutorial, along with a tutorial outline.
Expected audience: Include the background of audience and expected number of attendees.
Recent publications: List recent publications from the speakers in the past 3-5 years.

Presentation material: If a draft of the tutorial material (to be distributed to tutorial participants) is available that can aid in assessing the proposal and also enable the committee to provide more constructive suggestions for the content.
Inquiries should be sent to: IC4e@academic.net before the deadline.

Each tutorial proposal must include the following sections:

Title of tutorial
Abstract of the tutorial
Length of the tutorial: Half-day or One day
Intended audience
Objective and motivation
Outlines

Names, addresses, and a short CV (no more than 300 words) of tutorial speakers and the specific parts they will cover in the tutorial
A brief description (up to 1 page) of the technical issues that the tutorial will address, emphasizing its timeliness
Prior history of the tutorial presentations
Lecture experience of the tutorial speaker(s).
If appropriate, a description of past versions of the tutorials, including number of attendees, etc
and other information that helps us to decide the best proposals

Deadlines
Tutorial Proposals Due: February 20, 2026
Notification of Tutorial Acceptance: March 20, 2026

OECD Trade in Value Added (TiVA) Database: Unlocking the Power of Global Value Chain Analytics for Everyone

⏱️ Duration: Half day (2.5 hours) | 2026/4/2 13:30 – 16:00

🎤 Presented by: Prof. Yukari Shirota, Prof. Basabi Chakraborty

The OECD–WTO Trade in Value Added (TiVA) database is one of the most potent yet underused open resources for understanding how value is created and distributed across global industries. While many e-business and e-management studies still rely on gross export values, the more precise and meaningful approach is to analyze global value chains (GVCs) through domestic value added (DVA)—the true measure of how each country contributes to international production. Few researchers realize that this data-driven foundation for global industrial analysis is already freely available through TiVA.

This tutorial introduces TiVA’s conceptual structure, its key indicators (e.g., DVA, FFD_DVA, EXGR_INT_DVA_PSH), and practical access methods, followed by a hands-on demonstration using real OECD data. Participants will learn to retrieve, visualize, and interpret TiVA data for applications in e-management, e-education, and policy analysis.

📋 Tutorial Outline (2.5 hours)

Time	Session	Content
13:30 – 14:50	Part I – What You Can Do with TiVA (Concepts & Case)	Overview of OECD TiVA framework and key indicators; Case Study: Indian Automotive Suppliers GVC (1995–2014); HRP clustering demonstration; Discussion on integrating insights into research
14:50 – 15:00	Break	—
15:00 – 16:00	Part II – Hands-on TiVA Analysis (Practice)	Download TiVA datasets; Excel data organization; Compute & interpret indicators; Guided discussion on research/teaching applications

👥 Expected Audience

This tutorial targets researchers, educators, and students in e-management, e-business, economics, and data analytics who are interested in applying open international datasets. No prior knowledge of econometrics is required; basic familiarity with spreadsheets or Python is sufficient.

Tutorial Speakers

Prof. Yukari Shirota

Gakushuin University, Tokyo, Japan

Prof. Yukari Shirota earned her D.Sc. in Computer Science from the University of Tokyo in 1998. After 13 years of industry research, she joined the Faculty of Economics at Gakushuin University in 2001 and was promoted to full professor in 2002. She was an academic visitor at the University of Oxford from 2006 to 2007. She is a Fellow of the Information Processing Society of Japan. She serves on the boards of the Japan Society of Business Mathematics and the Japanese Operations Management and Strategy Association. Her research focuses on industry analysis using AI, web-based data visualization, and visual learning in business mathematics. Recently, she has been analyzing how Maruti Udyog (Maruti Suzuki) successfully developed its local supplier network in India. She also explores the educational applications of AI. In her research, she shows how ChatGPT can solve complex financial mathematics word problems and generate educational graphics. By visualizing the deductive reasoning process as a graph, AI-generated teaching aids help students grasp concepts and verify their understanding. This method has already been successfully applied in her classes.

Prof. Basabi Chakraborty

Iwate Prefectural University, Morioka, Japan

Basabi Chakraborty received B.Tech, M.Tech and Ph. D degrees in RadioPhysics and Electronics from Calcutta University, India and worked in Indian Statistical Institute, Calcutta, India until 1990. From 1991 to 1993 she worked as a part time researcher in Advanced Intelligent Communication Systems Laboratory in Sendai, Japan. She received another Ph. D in Information Science from Tohoku University, Japan in 1996. From 1996 to 1998, she worked as a postdoctoral research fellow in Research Institute of Electrical Communication, Tohoku University, Japan. In 1998 she joined as a faculty in Software and Information Science department of Iwate Prefectural University, Iwate, Japan and worked as Head of Pattern Recognition and Machine Learning laboratory until her retirement in March 2022. She worked as Dean of School of Computer Science, Madanapalle Institute of Technology and Science, AP, India for 3 years until June 2025. Currently she is Professor Emeritus and Distinguished Professor in Iwate Prefectural University, Japan. Her main research interests are in the area of Pattern Recognition, Machine Learning, Soft Computing Techniques, Biometrics, Time series analysis, Text Mining, Social Media Data Mining and Quantum Machine Learning. She is a senior life member of IEEE, member of ACM, Japanese Neural Network Society (JNNS) and Japanese Society of Artificial Intelligence (JSAI). She served as the chair of IEEE JC WIE affinity group during 2010-2011. She was also the founding chair of IEEE Sendai section WIE affinity group in 2017-2018. She served as the committee member of IEEE R10 SPINIC from 2020 - 2024. Currently she is serving as a secretary of IEEE Sendai LMAG.