On-location / Digital Conference

International Conference on Computational Algorithms for Data-Intensive Science (I2CADIS-27)

11th - 12th Feb 2027,Lyon, France

In Association With:

Call for Paper


Important Dates


Early Bird Registration

12th Jan 2027

Paper Submission Deadline

17th January 2027

Registration Deadline

27th January 2027

Conference Date

11th - 12th Feb 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Lyon ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Lyon conference.
  • Peer Review Process:
    The peer review process will begin soon for Lyon conference.
  • Networking with Global Experts:
    Join global experts at our conference in Lyon.
  • 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 I2CADIS 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 Computational Algorithms for Data-Intensive Science, encouraging applied research, case studies, and industry-driven innovations.

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

  • Data-intensive algorithms for scientific research
  • High-performance computing in data analysis
  • Big data challenges in computational science
  • Machine learning algorithms for data science
  • Parallel computing for data-intensive applications
  • Data visualization techniques for large datasets
  • Statistical methods for data-intensive science
  • Data mining applications in scientific research
  • Computational methods for big data processing
  • Algorithms for real-time data analysis
  • Data-driven decision making in science
  • Cloud computing for data-intensive applications
  • Data management strategies in computational science
  • Interdisciplinary approaches to data science
  • Optimization of algorithms for data processing
  • Data-intensive simulations in environmental science
  • Ethics in data-intensive research
  • Future trends in computational algorithms
  • Applications of AI in data-intensive science
  • Collaborative data science in 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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