SNRI

(ICCMSN - 27) | Hybrid Event
17th - 18th June 2027 | Brisbane, Australia

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International Conference on Computational Modeling of Social Systems and Networks
(ICCMSN - 27)

17th - 18th June 2027 Brisbane, Australia (Hybrid Event)

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Call for Paper

The ICCMSN 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, 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 modeling of social behaviors
  • Network analysis in social sciences
  • Agent-based models of social dynamics
  • Computational methods for public policy analysis
  • Social network influence and communication
  • Modeling collective behavior in crowds
  • Simulation of social systems and interactions
  • Data-driven approaches to social research
  • Computational methods for cultural studies
  • Impact of technology on social networks
  • Computational sociology and big data
  • Modeling social resilience and adaptation
  • Interdisciplinary approaches to social systems
  • Computational methods for demographic analysis
  • Social simulations for urban planning
  • Computational ethics in social modeling
  • Network theory applications in sociology
  • Computational methods for social innovation
  • Modeling social capital and networks
  • AI applications in social research
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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