About the Journal

The Journal of Artificial Intelligence for Data-Driven Discovery (JAIDDD), established in 2017, is a premier open-access, peer-reviewed journal hosted at jaiddd.org. JAIDDD is dedicated to advancing AI-driven data discovery by providing a platform for scholars, scientists, and innovators to share groundbreaking research. Our mission is to promote high-quality, ethical publications that explore theoretical, practical, and societal dimensions of AI in data-driven scientific discovery. With a commitment to double-blind peer review and a 10% plagiarism threshold (per Turnitin), JAIDDD ensures rigorous standards and fosters global collaboration in AI and data science research.

Journal Snapshot

Journal Name: Journal of Artificial Intelligence for Data-Driven Discovery (JAIDDD)
ISSN: 2912-3456
Journal Initials: JAIDDD
Research Scope: AI-driven data analytics, Machine learning for scientific discovery, Big data processing, Predictive modeling, Natural language processing in data analysis, Computer vision for data exploration, AI ethics and fairness, Data-driven healthcare innovations, Scientific simulations, Interdisciplinary AI applications
Publication Mode: Digital (on jaiddd.org)
Frequency: Annual (1 Volume a year)
Launch Year: 2017
Review Mode: Double Blind Peer Review
Plagiarism Allowed: 10% (as per Turnitin)
Coverage: Worldwide
Language: English