About the Journal

The American Data Science Journal for Advanced Computations (ADSJAC), ISSN: 3067-4166, is an international, peer-reviewed, open-access journal that focuses on the latest advancements in data science, computational methods, and intelligent systems.

Published quarterly, ADSJAC provides a scholarly forum for researchers, academicians, professionals, and innovators to share significant contributions and insights into the rapidly evolving landscape of computational technologies and data-driven decision-making.

Our mission is to bridge the gap between theoretical foundations and practical applications by encouraging interdisciplinary research that spans the domains of artificial intelligence, machine learning, data analytics, high-performance computing, and related fields.

The journal promotes original research, review articles, case studies, and technical reports that demonstrate innovation, rigor, and relevance. By offering unrestricted global access to its content, ADSJAC supports the open dissemination of scientific knowledge and encourages collaborative exploration across academic and industry sectors.

Objectives

To advance the field of data science and computational technologies through high-quality scholarly publishing.
To promote interdisciplinary dialogue between academia, industry, and research institutions.
To provide a platform for both foundational research and real-world applications.

Publishing Frequency

Quarterly (4 issues per year)

Review Process

All submitted manuscripts undergo a rigorous double-blind peer review by experts in relevant fields to ensure the integrity, originality, and quality of the published content.

Open Access Policy

ADSJAC follows a full open-access publishing model, ensuring that all content is freely accessible to readers worldwide without subscription or paywall barriers.

Target Audience

Researchers, data scientists, academicians, software engineers, industry professionals, and graduate students in the fields of:

Data Science & Machine Learning
Computational Intelligence
Big Data & Cloud Computing
Statistical Analysis
Artificial Intelligence
Scientific Computing

About the Journal