On-location / Digital Conference

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

25th - 26th Jun 2027,Al Rayyan, Qatar

In Association With:

Call for Paper


Important Dates


Early Bird Registration

26th May 2027

Paper Submission Deadline

31st May 2027

Registration Deadline

10th June 2027

Conference Date

25th - 26th Jun 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Al Rayyan ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Al Rayyan conference.
  • Peer Review Process:
    The peer review process will begin soon for Al Rayyan conference.
  • Networking with Global Experts:
    Join global experts at our conference in Al Rayyan.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

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 Machine Learning and Social Data Analytics, 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

Assessment

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.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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Conference Alert :

Amid current airspace closures and regional flight disruptions, this event may shift to a fully virtual format for delegate safety. Please confirm travel plans only after official updates.