

Welcome you to The 2nd International Symposium on Machine Learning and Social Computing (MLSC 2026), a premier interdisciplinary forum dedicated to advancing the integration of machine learning and social computing research. This event will be held from October 26 to 28, 2026 in Bangkok, Thailand.
This symposium serves as a vital platform for researchers, practitioners, and innovators to exchange cutting-edge ideas, explore interdisciplinary collaborations, and address the profound impact of machine learning on social sciences and real-world social systems. Amid the rapid evolution of AI and data-driven technologies, MLSC 2026 aims to bridge theoretical advancements with practical applications, fostering in-depth discussions on ethical norms, policy frameworks, and the development of human-centric AI that aligns with social needs.
Bangkok, a vibrant metropolis blending rich cultural heritage with global innovation, provides an exceptional backdrop for this convergence of minds. We encourage you to engage in dynamic academic sessions, build connections with peers from around the world, and draw inspiration from renowned keynote speakers and specialized workshops designed to spark transformative dialogue and collaborative initiatives.
![]() | October 26-28, 2026 Conference Dates |
![]() | June 5, 2026 Full Paper Submission Date |
![]() | October 16, 2026 Registration Deadline |
![]() | July 5, 2026 Final Paper Submission Date |


Supervised, unsupervised, and semi-supervised learning
Deep learning and architecture design
Reinforcement learning and meta-learning
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Social network analysis and evolution
Swarm intelligence and multi-agent systems
User behavior and emotion computing
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Digital manufacturing
Digital economy
Digital management
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Integration of social networks and machine learning
Multi-modal data fusion
Adaptive social system algorithms
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Intelligent transportation systems
Autonomous driving and vehicular networks
Urban traffic congestion optimization
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Smart cities and public services
Social analysis in healthcare
Intelligent educational learning systems
...
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
MLSC 2025: Publication | EI Compendex | Scopus
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.