Registration summary
ConferenceICCSSNM
ModeStandard / Physical
ParticipationListener
Registration fee$135.00
Bank charges (5.8%)$7.83
Total payable$142.83
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICCSSNM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Computational Social Science +
This track focuses on the latest methodologies and frameworks in computational social science. It aims to explore the intersection of social phenomena and computational techniques, emphasizing innovative research outcomes.
02 Network Modeling and Analysis +
This session will delve into the theoretical and practical aspects of network modeling. Participants are encouraged to present their findings on network structures, dynamics, and implications for social systems.
03 Machine Learning Applications in Social Networks +
This track highlights the application of machine learning techniques to analyze and interpret social network data. Contributions should focus on novel algorithms and their effectiveness in real-world scenarios.
04 Big Data and Social Analytics +
This session addresses the challenges and opportunities presented by big data in understanding social behaviors. Papers should discuss data-driven insights and the methodologies employed to extract meaningful patterns.
05 Simulation Techniques in Social Science Research +
This track invites discussions on simulation methodologies used to model complex social systems. Contributions should demonstrate how simulation can enhance our understanding of social dynamics and interactions.
06 Digital Humanities and Computational Methods +
This session explores the integration of computational techniques within the digital humanities. Papers should focus on how quantitative methods can enrich traditional humanities research.
07 Algorithms for Social Network Analysis +
This track emphasizes the development and application of algorithms tailored for social network analysis. Participants are encouraged to share innovative approaches that enhance our understanding of social connectivity.
08 Predictive Analytics in Social Science +
This session focuses on the use of predictive analytics to forecast social trends and behaviors. Contributions should highlight methodologies and case studies demonstrating the impact of predictive modeling.
09 Quantitative Methods in Social Research +
This track aims to showcase the application of quantitative methods in various social science domains. Papers should discuss statistical techniques and their relevance in empirical research.
10 Optimization Techniques in Data Science +
This session explores optimization methods and their applications within data science frameworks. Contributions should focus on enhancing computational efficiency and effectiveness in data-driven decision-making.
11 Complex Systems and Social Dynamics +
This track investigates the principles of complex systems theory as applied to social dynamics. Papers should explore how these principles can inform our understanding of societal interactions and structures.
