(ICCSSNM - 26) | Hybrid Event
8th - 9th October 2026 | London, UK

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International Conference on Computational Social Science and Network Modeling
(ICCSSNM - 26)

8th - 9th October 2026 London, UK (Hybrid Event)

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Call for Paper

The ICCSSNM is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Computational Science,Data Science, the conference promotes research aligned with global development goals and long-term sustainability. 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
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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