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Hanoi Open University

Call for Papers

AI4SDF 2026

2nd International Conference on Artificial Intelligence and Data Science for a Sustainable Digital Future

About the conference

Hanoi Open University is pleased to announce the 2nd International Conference on Artificial Intelligence and Data Science for a Sustainable Digital Future (AI4SDF 2026).

The conference aims to bring together scholars, policymakers and industry experts to share interdisciplinary insights and discuss cutting-edge applications of AI and data science in promoting sustainability across education, healthcare, agriculture, environment and governance.

It provides a timely forum to explore the implications of AI and data science, promote responsible innovation, and propose solutions for a sustainable digital future.

Key themes and suggested topics

T1

AI & Data Science in the Sustainable Digital Era

Emerging technologies; AI and the UN SDGs; global and Vietnamese case studies for sustainability.

T2

Applications Across the Pillars of Sustainability

Environmental, social and economic sustainability, including sustainable agriculture and green supply chains.

T3

AI for Sciences & Predictive Analytics

Spatio-temporal analytics with GNNs and transformers; green supply-chain forecasting; generative AI for advanced materials.

T4

Digital Twins & Smart IoT Systems

Edge AI and TinyML; zero-trust IoT and blockchain security; smart-city and smart-grid twins.

T5

Ethics, Challenges, and Responsible AI

Algorithmic bias; data privacy; social justice; AI and data science skills; legal and ethical frameworks for responsible deployment.

Scope

Original research · Interdisciplinary perspectives · Responsible innovation

Cross-track submissions are welcome; indicate a preferred track at submission.

Submission format

Manuscripts must follow the conference template: one-column layout, English throughout, numbered sections and numbered display equations.

LanguageEnglish
Research paper8–15 pages
Survey paperup to 20 pages
Abstract70–200 words
Keywordslower case, alphabetical, comma separated

Download the paper template (Word, .doc)

How to submit

Papers are submitted through Microsoft CMT at cmt3.research.microsoft.com/AISDF2026

  • Sign in to Microsoft CMT, or create an account if you do not have one yet.
  • Open the AI4SDF 2026 page at the address above and select Create new submission. Going through this link avoids having to find the conference by name in the CMT list.
  • Enter the paper title, abstract, keywords and author information carefully.
  • Select the most appropriate conference track for your paper.
  • Upload your manuscript, prepared according to the AI4SDF 2026 template.
  • Review all submission information before clicking Submit.

Authors may update their submission through CMT until the submission deadline. Please ensure that all authors and their affiliations are entered correctly.

Important dates

MilestoneDate
Full paper submission deadline30 October 2026
Acceptance notifications1–15 November 2026
Registration deadline28 November 2026
Conference date12 December 2026
VenueHanoi (to be announced)

Publication opportunities

  • Conference proceedings: all accepted and registered papers will be published in the conference proceedings.
  • DOI: each paper will be assigned a digital object identifier from CrossRef.
  • Indexing: the proceedings shall be submitted to Google Scholar for indexing.
  • ISBN: the conference proceedings will be published with an ISBN number in soft form.
  • Selected papers: the best articles will be submitted for publication in the Journal of Computer Science and Cybernetics.

Conference at a glance

Format

Hybrid

In-person and virtual attendance combined.

Language

English

Presentations, papers and proceedings.

Venue

Hanoi, Vietnam

Specific venue to be announced.

Website

conf.hou.edu.vn/ai4sdf

Programme updates and speaker announcements.

Contact

General inquiries

ai4sdf@hou.edu.vn

Mr. Nguyen Thanh Huy · huynt@hou.edu.vn · +84 912 837 073

Paper-related inquiries

thanhth@hou.edu.vn

Mr. Truong Huu Thanh · +84 988 878 613

We encourage you to invite colleagues to participate and submit original research for AI4SDF 2026.

Submit through Microsoft CMT