On-location / Digital Conference

International Conference on Predictive Analytics and Statistical Modeling (ICPASM-27)

04th - 05th May 2027,Columbus, USA

In Association With:

Call for Paper


Important Dates


Early Bird Registration

04th Apr 2027

Paper Submission Deadline

9th April 2027

Registration Deadline

19th April 2027

Conference Date

04th - 05th May 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

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

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

  • Predictive analytics techniques and applications
  • Machine learning in predictive modeling
  • Statistical methods for forecasting
  • Applications of predictive analytics in business
  • Predictive modeling in healthcare
  • Ethics in predictive analytics research
  • Predictive analytics in social sciences
  • Time series forecasting methods
  • Predictive analytics for customer behavior
  • Statistical challenges in predictive modeling
  • Predictive analytics in finance and investment
  • Big data and predictive analytics integration
  • Applications of predictive modeling in marketing
  • Predictive analytics for risk assessment
  • Recent advancements in predictive analytics
  • Predictive modeling in sports analytics
  • Data visualization in predictive analytics
  • Predictive analytics for supply chain management
  • Future trends in predictive modeling
  • Statistical software for predictive analytics

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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