GSAISS-07: 7th Global Symposium on AI and Social Sciences

December 25–29, 2026 | Tokyo

We warmly welcome scholars, researchers, and professionals worldwide to join the 7th Global Symposium on AI and Social Sciences (GSAISS-07), held from December 25 to 29, 2026, in the vibrant and innovation-driven city of Tokyo. This global academic event gathers thought leaders and interdisciplinary researchers to exchange knowledge, explore the rapid evolution of Artificial Intelligence, and tackle the complex challenges it presents across the social sciences.

Conference Objectives

GSAISS-07 serves as a premier platform for scholars and experts to engage in meaningful dialogue, fostering interdisciplinary collaboration between AI technology and social humanistic research. We encourage participants to actively engage in discussions, providing insights that will enhance collective understanding of how AI is reshaping the future of our society and education systems.

Keynote Speaker

To be announced soon.

Why Participate?

Your participation is vital for promoting interdisciplinary innovation and collaboration, which are key to solving global challenges. Join us in Tokyo, where new ideas will be explored and effective solutions developed to advance education and social sciences. Together, we can make a lasting impact in these fields and contribute to their evolution on a global scale.

Publication Opportunities

All accepted papers will be included in the conference proceedings. After the conference, these proceedings will be published in the International Science Index and submitted for indexing by Thomson Reuters, CiteSeerX, Google Scholar, SSRN, ResearchGate, and Academia.edu. Additionally, Best Paper Award winners will have the opportunity to publish their work in renowned Scopus-indexed journals, such as:

• Business Systems Research (BSR)

• International Journal for Quality Research (IJQR)

• Proceedings on Engineering Sciences (PES)

• Other journals from Emerald Publishing

These journals cover a broad range of disciplines, including science, engineering, technology, management, business, and education.

Conference Tracks

GSAISS-07 welcomes a wide range of submissions across all subfields of AI-enhanced education, social sciences, and natural sciences, including but not limited to:

• AI in Education and Learning Technologies

• Business & Economics

• Management and Finance

• Literature & Communication Studies

• Policy and Education

• Natural Sciences and AI Applications

• Multidisciplinary Research

We accept theoretical, applied, and cross-disciplinary research contributions.

Presentation Procedures

For Listeners (No Submission Required)

Listeners may directly proceed to payment and complete registration immediately. No abstract, paper, or poster submission is required.

For Presenters (Authors)

Presenters must first submit:

• Abstract

• Full Paper

• OR Poster

Upon acceptance, you will receive instructions for payment and registration. We accept theoretical, applied, and cross-disciplinary research contributions.

Submission Format Guidelines

Presentation Formats

• Oral Presentations: Authors will be allocated 15 minutes, including 5 minutes for Q&A. Presentations will be grouped by related topics into thematic sessions.
  
  
• Poster Presentations: Authors may present interactive posters in a designated session. Handouts may be provided for interested attendees.

Best Paper, Excellent Paper, and Student Awards

Awards and Publication Opportunities

We recognize groundbreaking research through Best Paper, Excellent Paper, and Student Awards. All original submissions (abstracts, papers, and posters) undergo blind peer review. All accepted submissions (abstract-only and full papers) are published in our ISBN-assigned digital proceedings, accessible via the AASE website. Selected full papers may additionally be recommended for publication in Scopus-indexed journals. We value diverse perspectives and aim to inspire new research frontiers in a supportive, multicultural setting.

Key Dates

• Abstract/Full Paper Submission Deadline: October 25, 2026

• Notification of Abstract Review: Within one week of submission

• Early Bird Registration Deadline: September 15, 2026

• Registration Deadline: November 10, 2026

• Conference Dates: December 25–29, 2026

Conference Program

The Organising Committee is committed to delivering a valuable, inclusive, and memorable experience for all attendees. AASE is pleased to present the confirmed segments of the program for the 5-day conference. Please be advised that the schedule and session timings are subject to change. As additional speakers are confirmed, the program will be updated accordingly.

Tentative Schedule.pdf

Registration Information

The conference registration fee includes the following:

• Full access to all conference sessions

• A conference bag and printed participation certificate

• Access to the conference proceedings

• Complimentary coffee breaks and lunch on the presentation day

• Free membership with AASE

• Online publication of accepted papers in international journals post-conference.

For registration and detailed guidelines, please visit our official website.

Venue: To be announced (Tokyo, Japan)

The conference will be held at a venue in central Tokyo. Full venue details will be announced on this page and sent to registered participants by email.

Experience the Innovation of Tokyo

As one of the world’s leading centers of technology, research, and culture, Tokyo offers an inspiring setting for academic inquiry. The city seamlessly blends centuries-old traditions with cutting-edge innovation, from historic shrines and gardens to world-class robotics and smart-city initiatives.

Tokyo also serves as a “living laboratory” for observing how AI is reshaping society, education, and public policy. Its renowned universities, research institutes, and dynamic tech ecosystem offer unparalleled opportunities for networking, interdisciplinary collaboration, and advancing the global dialogue on AI and social sciences.

Join Us!

Take advantage of this unique opportunity to engage with top experts in the fields of education and social sciences. Collaborate with global scholars, present your work, and contribute to shaping the future of these critical disciplines.

Take Action to Submit and Register