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

11th - 12th May 2027 Munich, Germany (Hybrid Event)

Call for Paper

The ICLSDA 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:

  • 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
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.

Sponsored & Indexed by