International Conference on Machine Learning and Social Data Analytics - (ICLSDA-27)


16th - 17th June, 2027 | Dublin, Ireland

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

17th May, 2027

Paper Submission Deadline

22nd May, 2027

Last Date Of Registration

1st June, 2027

Date Of Conference

16th - 17th June, 2027

Downloads

Call for Papers

The (ICLSDA-27) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Computational Science, Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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 Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.