On-location / Digital Conference

International Conference on Visualization, Data Representation, and Analytics (ICVDRA-27)

11th - 12th Feb 2027,Odesa, Ukraine

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 Odesa ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Odesa conference.
  • Peer Review Process:
    The peer review process will begin soon for Odesa conference.
  • Networking with Global Experts:
    Join global experts at our conference in Odesa.
  • 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 ICVDRA 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 Visualization, Data Representation, and Analytics, encouraging applied research, case studies, and industry-driven innovations.

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

  • Innovative visualization techniques for data analysis
  • Data representation methods in machine learning
  • User-centric design in data visualization tools
  • Real-time analytics for large datasets
  • Visualizing complex data relationships effectively
  • Interactive dashboards for data exploration
  • Ethics in data representation and visualization
  • Comparative studies of visualization frameworks
  • Augmented reality in data visualization applications
  • Data storytelling through effective visual means
  • Visualization challenges in big data environments
  • Techniques for visualizing temporal data trends
  • Integrating AI in data visualization processes
  • Visual analytics for decision-making support
  • Data representation in social network analysis
  • Visualization of uncertainty in data analysis
  • Cross-disciplinary approaches to data visualization
  • Tools for collaborative data visualization projects
  • Case studies on successful data visualization
  • Future trends in data representation technologies

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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