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Describing completed research, up to 15 pages of content with references, formatted according to Springer LNCS style.
Computer Vision/CORE Unranked
AIST 2026
The 13th International Conference on Analysis of Images, Social Networks and Texts
The 13th International Conference on Analysis of Images, Social Networks and Texts (AIST 2026) is a scientific event focused on data science, machine learning, and their applications in image processing, social network analysis, and text processing. Organized by Nazarbayev University in Astana, Kazakhstan, it brings together researchers and practitioners to exchange ideas and promote collaboration across academic and industry domains.
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Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
01
Submission Topics
Analysis of images and videoAnalytics for geoinformation systemsComputational linguisticsCore data mining and machine learning techniquesDiscovering and analyzing processes using event dataDeep learning applicationsEducational data miningGame analyticsMachine learning and data mining for economics and social sciencesNatural language processing and applicationsOptimization problems in complex networksRecommendational systems and collaborative technologiesSemantic web and ontologiesSocial network analysis
Policies worth checking twice
- All papers must be original and not simultaneously submitted to another journal or conference.
- Papers must be anonymized for double-blind review (remove affiliations, acknowledgments, personal links).
- ArXiv pre-prints are allowed.
- At least one author must attend the conference to present the paper.
- Papers must be written in English and submitted via the OpenReview system.
- Papers must follow the Springer LNCS formatting guidelines.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026