AIST-2026
Nazarbayev University, Astana, Kazakhstan
16-18 October 2026
https://AISTconf.org

CALL FOR PAPERS

Dear colleagues,

We are excited to invite you to submit a paper to AIST-2026, a scientific conference on Analysis of Images, Social Networks, and Texts. The conference is intended for researchers and practitioners interested in data science focusing on innovative applications of data analysis and machine learning techniques to image processing, analysis of network data, text processing, and other domains, such as economics or geographic information systems.

The conference is intended for computer scientists and practitioners whose research interests are related to data science. The twelve previous editions of the AIST conference held in 2012-2024 attracted a significant number of students, researchers, academics, and engineers working on the analysis of images, texts, and social networks. The broad scope of AIST makes it an event where researchers from different domains, exploiting various data analysis techniques, can meet and exchange ideas. The conference allows specialists from different fields to meet each other, present their work, and discuss both theoretical and practical aspects of their data analysis problems. Another important aim of the conference is to stimulate scientists and people from the industry to benefit from the knowledge exchange and identify possible grounds for fruitful collaboration.

Similar to the previous years, the main volume of the conference proceedings will be published in the Springer’s in Lecture Notes in Computer Science (LNCS) series.

Venue

The conference continues travelling to beautiful regions, and this year AIST will be held offline in Astana, Kazakhstan. More specifically the event is organized with support of Nazarbayev University. Besides the scientific knowledge you will enjoy the nature of Kyrgyzstan and dive into local culture. The conference will feature representatives of the local data analysis community.

Submisson Topics

We are encouraging submission on any application of deep learning and data analysis including, but not limited to the following topics:

  • Analysis of images and video
  • Analytics for geoinformation systems
  • Computational linguistics
  • Core data mining and machine learning techniques
  • Discovering and analyzing processes using event data
  • Deep learning applications
  • Educational data mining
  • Game analytics
  • Machine learning and data mining for economics and social sciences
  • Natural language processing and applications
  • Optimization problems in complex networks
  • Recommendational systems and collaborative technologies
  • Semantic web and ontologies
  • Social network analysis

Important Dates

Abstract deadline July 17
Submission deadline July 31
Notification of acceptance September 1
Camera-ready papers due September 18
Conference dates October 16-18
All deadlines are 11.59 pm UTC -12h ("anywhere on Earth").

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

  • Full papers describing completed research up to 15 pages of content with references.

The papers must be formatted according to the Springer LNCS style. LaTeX template of the Springer LNCS is available at Overleaf platform. We encourage you to use the LaTeX template instead of the Word template.

Papers should be submitted through the OpenReview conference management system. Submitted papers should be written in English and provide sufficient detail to allow the Program Committee to assess the merits of the paper on the basis of technical quality, relevance to the conference topics, originality, significance, and clarity of presentation.

The program committee expects that authors are ready to submit high-quality research papers. We also require at least one of the authors to attend the conference to present their study. Papers should present original work previously not published or concurrently submitted to another conference or journal.

Each paper will be reviewed by at least three PC members. To ensure a fair assessment of the submissions, the review will be double-blind, so you need to make your paper anonymous (remove links to your personal pages, acknowledgments, affiliations, etc.). Your work will be rejected in case you did not properly anonymize your paper. However, ArXiv pre-prints are allowed to be submitted.

Program Committee

Please, refer https://aistconf.org/committees/program for the past year PC members.

Chairs

  • Natalia Loukachevitch, Research Computing Center of Moscow State University
  • Elena Tutubalina, Kazan Federal University & AIRI
  • Andrey Savchenko, HSE University
  • Evgenii Tsymbalov, Independent researcher
  • Dmitry Gubanov, IPU, Institute of Control Sciences, RAS
  • Maxim Panov, MBZUAI
  • Andrey Kutuzov, University of Oslo
  • Rustem Takhanov, Nazarbaev University
  • Mikhail Khachai, Krasovsky Institute of Mathematics and Mechanics, RAS

Organizing Committee

  • Rustem Takhanov, Nazarbayev University
  • Irina Nikishina, Independent Researcher
  • Dmitry Ignatov, Higher School of Economics
  • Evgenii Tsymbalov, Independent Researcher
  • Maxim Panov, MBZUAI
  • Alexander Panchenko, Skoltech & AIRI
  • Elisei Rykov, Skoltech
  • Olga Popova, AIRI

Publication

AIST-2026 proceedings will be published in Springer LNCS (Lecture Notes in Computer Science). The companion volume will be published in the satellite series CCIS (Communications in Computer and Information Science).

Please follow the Code of Conduct when you prepare your final publication.

Past Conferences

If you did not participate before in the AIST conference you can take a look at the proceedings of the last three years to get an idea about what kind of papers are accepted and what kind of topics are discussed at the conference. Proceeding of the previous years can be found below:

Contact Information

You can post questions about to org@aistconf.org or our telegram group @aistconference. All details are posted at the conference at aistconf.org.