International Conference on Computational Social Science and Network Modeling ICCSSNM

Call For Papers

The ICCSSNM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Computational Science, Data Science , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Computational methods in social science

Network modeling techniques for social data

Big data analytics in social research

Machine learning applications in social sciences

Social network analysis and visualization

Ethics in computational social science

Data-driven approaches to social issues

Impact of social media on society

Interdisciplinary research in social sciences

Predictive modeling in social behavior

Challenges in social data collection

Case studies in computational social science

Real-time analysis of social networks

Data privacy concerns in social research

Social dynamics and computational modeling

Role of AI in understanding social phenomena

Collaborative tools for social science research

Future trends in computational social science

Quantitative methods in social research

Data sharing and collaboration in social sciences

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event