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The AI and Data Science Journal

Empowering intelligent systems and data-driven innovation for the future of technology and society.

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About the Journal

The AI and Data Science Journal (AIDJ) is an international, peer-reviewed, open access journal focused on advancing research in artificial intelligence, machine learning, and data science. The journal provides a global platform for academics, data scientists, and industry professionals to publish innovative work that drives intelligent decision-making and automation. AIDJ aims to bridge theoretical AI research with real-world applications across industries, fostering advancements that transform businesses, healthcare, finance, and society. The journal emphasizes ethical AI, scalability, and the responsible use of data in shaping the future.

Aims & Scope

AIDJ publishes original research, review articles, and technical papers in areas including artificial intelligence, machine learning, deep learning, data analytics, big data, natural language processing, computer vision, predictive modeling, and AI-driven applications. The journal promotes interdisciplinary research integrating AI with healthcare, engineering, finance, and social sciences, with a strong focus on innovation, efficiency, and ethical considerations.

Call for Papers

AIDJ invites researchers, data scientists, and AI practitioners to submit original manuscripts, systematic reviews, and application-driven studies. We especially encourage submissions in cutting-edge areas such as deep learning, generative AI, explainable AI, and real-world data-driven solutions.

Featured Research Areas

Artificial Intelligence
Machine Learning
Deep Learning
Data Science
Big Data Analytics
Natural Language Processing
Computer Vision
Predictive Analytics
Explainable AI
AI Ethics

Editorial Leadership

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