The Journal of Big Data and Artificial Intelligence (JBDAI) (ISSN 2692-7977) is an open access peer-reviewed scholarly journal devoted to the publication of high-quality research on Artificial Intelligence (AI), big data, business analytics, informatics, data science, information systems, AI strategy, machine learning and related topics. The goal of this journal is to publish the latest contributions from academia, practitioners and industry to advance these fields. Original research papers, state-of-the-art reviews, innovative case studies and tutorials are invited for publication.
Areas of interest include (but not restricted to):
• Artificial Intelligence (AI) - theory, applications, human interaction and impacts
• Big Data Theory and Foundational Issues
• Business Analytics
• Information systems and AI strategy
• Foundation Models / Large Language Models - theory, applications
• Data - Theory and Foundational Issues
• Data Mining Methods, Visualization
• Algorithms - Machine, Deep, Reinforcement Learning
• Informatics, Knowledge Discovery Processes
• Intelligent Applications & Information Systems
• Ethical, policy and economic aspects of big data, machine learning and AI
• Interdisciplinary and multidisciplinary domain Applications of AI & big data (e.g. Finance, Policy, Healthcare, GIS, Business, Human Resources Physics, Supply Chain, Agriculture, Quant. Medicine, Ethics and more)
• Big data analytics, data science and decision-making
The journal is intended for an academic and professional readership, including academics, industry practitioners, and graduate students worldwide, as well as others interested in the latest developments in the aforementioned areas.
Cost to Publish / APC: ZERO publishing cost to author - JBDAI does not charge any publishing fees at any stage or in any way to the author/s. All publishing costs for all accepted high quality articles are covered by NJBDA (https://njbda.org/), a non-profit association, with leading US universities and other organizations. This is a unique open access feature of JBDAI.
Open Access Statement
This is an open-access journal, which means that all content is freely available without charge to the user or their institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. Reuse of published content is permitted in accordance with the Creative Commons license selected for each article (CC BY, or CC BY-NC where chosen by the author).
All articles published in The Journal of Big Data and Artificial Intelligence (JBDAI) are freely available in full text on the journal’s website upon publication. No subscription or payment is required to access content. Readers can browse and download articles directly from the journal’s archive.
Publication Frequency
The Journal of Big Data and Artificial Intelligence (JBDAI) publishes one volume per year, and accepted articles will be published online on a continuous basis. Additional special issue volumes, based on specific topics and themes, will also be published on an ongoing basis.
About the Publisher
JBDAI is the flagship journal of the New Jersey Big Data Alliance (NJBDA). The NJBDA is an alliance of higher education institutions, industry corporations and government institutions, that catalyzes collaboration in advanced computing and data analytics research, education, technology and AI.
NJBDA does not manage or influence JBDAI operations in any way.