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International Conference on AI and Data Science Innovation (ICAIDSI-26)

20th - 21st Oct 2026,Rome, Italy

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Call for Paper

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Important Dates


Early Bird Registration

20th Sep 2026

Paper Submission Deadline

25th September 2026

Registration Deadline

5th October 2026

Conference Date

20th - 21st Oct 2026

Conference Updates:

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

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

  • Innovative AI techniques in data science
  • Data-driven decision making in AI
  • Ethical considerations in AI applications
  • AI for predictive analytics and forecasting
  • Machine learning algorithms for data analysis
  • Big data challenges in AI development
  • AI applications in various industries
  • Data visualization techniques for AI insights
  • Natural language processing in data science
  • AI and data science in smart cities
  • Impact of AI on data privacy
  • AI-driven automation in data processing
  • Real-time data analysis using AI
  • AI tools for data cleaning and preparation
  • Collaborative AI systems for data science
  • AI in enhancing data quality and integrity
  • Trends in AI and data science research
  • AI for social good and community impact
  • Interdisciplinary approaches to AI and data
  • Future directions in AI and data science

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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