On-location / Digital Conference

International Conference on Data-Driven Approaches in Scientific Research (ICDDASR-27)

06th - 07th Jan 2027,Vienna, Austria

In Association With:

Call for Paper


Important Dates


Early Bird Registration

07th Dec 2026

Paper Submission Deadline

12th December 2026

Registration Deadline

22nd December 2026

Conference Date

06th - 07th Jan 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

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

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

  • Data-driven methodologies in scientific research
  • Big data analytics in experimental sciences
  • Machine learning applications in research
  • Data visualization techniques for scientists
  • Statistical models for scientific data analysis
  • Interdisciplinary approaches to data science
  • Ethics in data-driven research
  • Data sharing and collaboration frameworks
  • Impact of AI on scientific discovery
  • Real-time data processing in research
  • Data quality and integrity in science
  • Innovative tools for data collection
  • Case studies of data-driven research
  • Challenges in data management for science
  • Open-source software for data analysis
  • Data mining techniques in scientific fields
  • Predictive modeling in scientific research
  • Data-driven decision making in research
  • Role of data in reproducible science
  • Future trends in data-driven 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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