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Call For Papers

The ICDAISA 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 Information Science, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • AI Techniques in Data Analytics
  • Big Data Challenges and Solutions
  • Information Science and Machine Learning
  • Data Visualization for Decision Making
  • Predictive Analytics and Business Intelligence
  • Ethics in AI and Data Science
  • Natural Language Processing Applications
  • Data Mining for Knowledge Discovery
  • AI-Driven Information Retrieval Systems
  • Social Media Analytics and Insights
  • User-Centric Design in Data Applications
  • Data Governance and Compliance Issues
  • Cloud Computing in Data Analytics
  • Innovative Approaches to Data Management
  • Impact of AI on Information Science
  • Trends in Data Analytics Research
  • Collaborative Data Science Practices
  • Real-Time Data Processing Techniques
  • Future Directions in AI and Analytics
  • Data Quality and Integrity Challenges

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.