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International Conference on Data Science, AI, and Information Technology (ICDSAITY-26)

27th - 28th Nov 2026,San Diego, USA

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Call for Paper

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Important Dates


Early Bird Registration

28th Oct 2026

Paper Submission Deadline

2nd November 2026

Registration Deadline

12th November 2026

Conference Date

27th - 28th Nov 2026

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in San Diego ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in San Diego conference.
  • Peer Review Process:
    The peer review process will begin soon for San Diego conference.
  • Networking with Global Experts:
    Join global experts at our conference in San Diego.
  • 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 ICDSAITY 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 Data Science, AI, and Information Technology, encouraging applied research, case studies, and industry-driven innovations.

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

  • AI applications in data science
  • Machine learning algorithms and techniques
  • Data-driven decision making in organizations
  • Ethics in AI and data science
  • Data science for social good initiatives
  • Big data analytics in various domains
  • Predictive modeling and analytics
  • Data visualization best practices
  • Natural language processing in data science
  • Data science education and training
  • Data mining techniques for insights
  • AI and automation in information technology
  • Data science for healthcare innovations
  • Challenges in implementing AI solutions
  • Interdisciplinary approaches to data science
  • Data privacy and security in AI
  • Real-time analytics for business intelligence
  • Future trends in AI and data science
  • Data ethics and responsible AI
  • Case studies in data science applications

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.

Submit Your Paper Now Confirm Your Participation Today

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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