Call For Paper

Call for Paper

The ICLSDA invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Computational Science, Data Science the conference aims to bridge theoretical advancements with real-world applications. It encourages forward-thinking research that addresses contemporary challenges while contributing to long-term scientific and technological progress.

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

Peer Review & Publication

The conference welcomes theoretical, empirical, and applied research contributions. All submissions will undergo a rigorous peer-review process by subject matter experts to ensure originality, technical quality, and relevance. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings, providing global visibility to the authors.

Registration

Authors of accepted papers are required to complete the registration process to confirm their participation in the conference. Early registration is recommended to secure presentation slots and access all conference sessions.

Publication

Accepted papers will be considered for publication in reputed journals and conference proceedings, subject to review outcomes and editorial policies.