International Conference on

Computational Social Science and Digital Methods (ICCSDM-26)

23rd – 24th Sep 2026 | Seoul, South Korea | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 10
SDG 10 Reduced Inequalities
SDG 11
SDG 11 Sustainable Cities and Communities
SDG 16
SDG 16 Peace, Justice and Strong Institutions
Track 01

Computational Approaches in Social Science

This track focuses on innovative computational methodologies employed in social science research. It aims to explore the intersection of computational techniques and traditional social science theories.

Track 02

Digital Methods in Humanities Research

This session invites papers that investigate the application of digital methods in the humanities. Topics may include text mining, digital archiving, and the use of digital tools for cultural analysis.

Track 03

Social Network Analysis and Its Applications

This track emphasizes the role of social network analysis in understanding complex social structures. Contributions may include case studies, theoretical advancements, and methodological innovations.

Track 04

Big Data and Online Behavior

This session explores the implications of big data analytics on understanding online behavior patterns. Papers may address data collection, ethical considerations, and the impact of online interactions on society.

Track 05

Data Mining Techniques in Social Research

This track focuses on the application of data mining techniques to extract insights from social data. It aims to highlight novel approaches and case studies that demonstrate the utility of these methods.

Track 06

Computational Modeling in Social Sciences

This session invites discussions on the use of computational modeling to simulate social phenomena. Contributions may include agent-based models, system dynamics, and their applications in policy-making.

Track 07

Social Simulation and Human Dynamics

This track examines the role of social simulation in understanding human dynamics and behavior. Papers may explore theoretical frameworks, simulation tools, and empirical findings.

Track 08

Information Diffusion in Digital Environments

This session investigates the mechanisms of information diffusion across digital platforms. Contributions may include studies on viral content, misinformation, and the role of social networks.

Track 09

Machine Learning Applications in Social Sciences

This track focuses on the integration of machine learning techniques in social science research. Papers may discuss algorithmic approaches, predictive modeling, and their implications for social analysis.

Track 10

Digital Sociology: Trends and Challenges

This session explores the emerging field of digital sociology, addressing both theoretical and practical challenges. Topics may include the impact of technology on social interactions and the digital divide.

Track 11

Web Analytics and Social Media Studies

This track emphasizes the importance of web analytics in understanding social media dynamics. Contributions may include methodologies for analyzing user engagement, content strategies, and platform-specific behaviors.

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