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ICCSSDM · Registering as Listener

International Conference on Computational Social Science and Digital Methods

24th Oct – 25th Oct 2026 Budapest, Hungary Standard / Physical Participation

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ConferenceICCSSDM

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Conference Session Tracks

SDG-Aligned Research Themes

International Conference on Computational Social Science and Digital Methods conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 9 - Industry, Innovation and Infrastructure

SDG 11 - Sustainable Cities and Communities

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.

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.

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

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.

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.

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.

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

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.

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.

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.

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.