On-location / Digital Conference

International Conference on Data-Driven Statistical Modeling and Analysis (ICDDSMA-27)

02nd - 03rd Feb 2027,Vienna, Austria

In Association With:

Call for Paper


Important Dates


Early Bird Registration

03rd Jan 2027

Paper Submission Deadline

8th January 2027

Registration Deadline

18th January 2027

Conference Date

02nd - 03rd Feb 2027

Conference Updates:

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  • 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 ICDDSMA 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 Statistical Modeling and Analysis, 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 approaches in statistical modeling
  • Machine learning techniques for data analysis
  • Predictive modeling in various fields
  • Statistical challenges in data-driven analysis
  • Applications of data-driven methods in finance
  • Big data analytics and statistical modeling
  • Causal inference in data-driven research
  • Statistical software for data-driven analysis
  • Data mining techniques for statistical insights
  • Ethics in data-driven statistical research
  • Statistical modeling in healthcare data
  • Data-driven decision making in business
  • Time series forecasting using statistical models
  • Applications of AI in statistical analysis
  • Statistical power in data-driven studies
  • Meta-analysis of data-driven findings
  • Data visualization in statistical modeling
  • Collaborative approaches to data-driven research
  • Future trends in data-driven statistics
  • Integrating qualitative data in analysis

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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