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Call For Papers

The ICLSDA 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:

  • Social media data for machine learning
  • Ethics of AI in social data analysis
  • Predictive modeling with social data
  • Machine learning for public health insights
  • Analyzing social trends using big data
  • Data privacy in social data analytics
  • Sentiment analysis in social networks
  • Machine learning applications in education
  • Impact of social data on policy making
  • Collaborative filtering in social data
  • User behavior prediction using analytics
  • Machine learning for community engagement
  • Social network analysis techniques
  • Data visualization for social insights
  • Predictive analytics for social good
  • Challenges in social data integration
  • Real-time analytics for social platforms
  • Machine learning and misinformation detection
  • Cultural implications of social data analytics
  • Future trends in social data research

Evaluation

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

Registration

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

Publication

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