Hybrid Conferencee

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

23rd - 24th February 2027 | Amman, Jordan
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

Journal consideration and publication are subject to editorial review, peer review and applicable journal policies.

Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Amman. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Amman event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Amman conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Amman, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Amman."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICSMPA aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Computational Science, Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Statistical modeling techniques for predictive analytics
02
Machine learning for data-driven decision making
03
Challenges in predictive modeling research
04
Real-time analytics in business intelligence
05
AI applications in statistical forecasting
06
Data visualization techniques for insights
07
Collaborative approaches in statistical research
08
Ethics in predictive analytics practices
09
Future trends in statistical modeling
10
Impact of big data on analytics
11
Statistical methods for risk assessment
12
Machine learning for customer behavior prediction
13
Predictive analytics in healthcare applications
14
Interdisciplinary research in statistics
15
Statistical learning for financial forecasting
16
Applications of predictive modeling in marketing
17
Data-driven approaches to operational efficiency
18
AI-driven decision support systems
19
Statistical techniques for time series analysis
20
Predictive analytics for supply chain optimization