About the Journal
The Journal of Artificial Intelligence for Data-Driven Discovery (JAIDDD) is a peer-reviewed, open-access journal dedicated to advancing research in artificial intelligence for data-driven scientific discovery. Launched in 2017, JAIDDD provides a global platform for researchers, data scientists, and engineers to publish innovative studies on AI methodologies, data analytics, and their applications in scientific discovery. Published annually, the journal upholds rigorous double-blind peer review standards to ensure high-quality contributions. JAIDDD fosters interdisciplinary collaboration, addressing emerging trends, ethical considerations, and societal impacts of AI-driven data discovery, driving progress in transformative research.
Current Issue
The Journal of Artificial Intelligence for Data-Driven Discovery (JAIDDD) is a peer-reviewed, open-access journal dedicated to advancing research and innovation in artificial intelligence for data-driven scientific discovery. Published annually, JAIDDD serves as a platform for researchers, data scientists, and industry professionals to share cutting-edge discoveries, methodologies, and applications that drive the evolution of AI in data-driven research. With a commitment to rigorous double-blind peer review, JAIDDD ensures high-quality, impactful publications that foster global collaboration and knowledge exchange.
