Hybrid Conferencee

International Conference on Applied Statistics, Probability, and Data Analytics (ICASPDA - 27)

17th - 18th June 2027 | Bosaso, Somalia
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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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 Bosaso. 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 Bosaso 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 Bosaso conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Bosaso, 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 Bosaso."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Innovations in Applied Statistics

This track focuses on the latest advancements in applied statistical methods and their practical applications across various fields. Researchers are encouraged to present novel statistical techniques that address real-world challenges.

Track 02

Mathematical Modeling in Complex Systems

This session explores the role of mathematical modeling in understanding and solving complex systems in science and engineering. Contributions that demonstrate the application of models to real-life problems are particularly welcome.

Track 03

Statistical Methods for Big Data Analytics

This track emphasizes the development and application of statistical methods tailored for big data environments. Papers that showcase innovative approaches to data analysis and interpretation in large datasets will be highlighted.

Track 04

Machine Learning and Statistical Inference

This session investigates the intersection of machine learning techniques and traditional statistical inference methods. Contributions that bridge these two domains to enhance predictive modeling are encouraged.

Track 05

Risk Analysis and Uncertainty Quantification

This track addresses methodologies for risk analysis and the quantification of uncertainty in statistical models. Papers that provide insights into managing uncertainty in decision-making processes are sought.

Track 06

Optimization Techniques in Applied Mathematics

This session focuses on optimization methods and their applications in various fields of applied mathematics. Researchers are invited to present their work on both theoretical advancements and practical implementations.

Track 07

Probability Distributions and Their Applications

This track examines the role of probability distributions in statistical modeling and data analysis. Contributions that explore new distributions or innovative applications of existing ones are encouraged.

Track 08

Simulation Techniques in Data Science

This session highlights the use of simulation techniques in data science for modeling complex phenomena. Papers that demonstrate the effectiveness of simulation in statistical analysis and decision-making are welcome.

Track 09

Quantitative Analysis in Social Sciences

This track explores the application of quantitative analysis methods in social science research. Contributions that utilize statistical techniques to derive insights from social data are particularly encouraged.

Track 10

Applications of Statistical Methods in Industry

This session focuses on the application of statistical methods in various industrial contexts. Researchers are invited to share case studies and practical applications that demonstrate the impact of statistics on industry practices.

Track 11

Emerging Trends in Data Analytics

This track investigates emerging trends and technologies in data analytics, including novel algorithms and tools. Contributions that address the future directions of data analytics in research and practice are highly encouraged.