The Journal of Advanced Data Science and Computational Intelligence is an international, peer-reviewed, open-access scholarly journal dedicated to publishing high-quality research that advances the fields of data science, artificial intelligence, machine learning, computational intelligence, and intelligent computing technologies. The journal serves as a multidisciplinary platform for researchers, academicians, engineers, industry professionals, and policymakers to disseminate innovative scientific discoveries, emerging methodologies, and practical solutions that address complex challenges through data-driven and intelligent technologies.
The journal welcomes original research articles, review articles, case studies, short communications, technical notes, and perspective papers covering both theoretical developments and real-world applications. It publishes research across a broad spectrum of topics, including data analytics, big data engineering, machine learning, deep learning, computational intelligence, natural language processing, computer vision, predictive modeling, optimization algorithms, cloud and edge computing, Internet of Things (IoT), cybersecurity, explainable and trustworthy AI, intelligent automation, scientific computing, generative artificial intelligence, foundation models, and other emerging intelligent technologies.
Recognizing the interdisciplinary nature of modern computing research, the journal encourages contributions that integrate data science and computational intelligence with diverse scientific and industrial domains. Areas of application include healthcare and precision medicine, finance and FinTech, cybersecurity, smart cities, manufacturing, engineering, agriculture, environmental sustainability, transportation, education, robotics, geospatial intelligence, business intelligence, and digital transformation. The journal also promotes research addressing ethical AI, responsible innovation, AI governance, privacy-preserving technologies, and sustainable intelligent computing.
Committed to scientific excellence and research integrity, the journal upholds a rigorous and transparent peer-review process to ensure the publication of original, reliable, and impactful research. By providing unrestricted global access to scholarly content and promoting timely publication, the journal seeks to foster international collaboration, accelerate scientific innovation, and support the advancement of knowledge in data science, computational intelligence, and next-generation intelligent systems.
Advanced Data Science and Computational Intelligence adheres to a strict single-blind peer-review process to maintain the quality, integrity, and scientific validity of all published work.
Key features include:
This journal comes out Annual (One issue per year). Accepted articles are made available online in both HTML and PDF formats, ensuring that scholarly work is accessible and disseminated promptly.
Advanced Data Science and Computational Intelligence operates under a fully open access model. This means all published content is freely accessible to readers around the globe, without any subscription or paywall. Authors maintain the copyright to their work, and the content is shared under an appropriate open-access license.
Advanced Data Science and Computational Intelligence is dedicated to upholding high standards with the goal of being included in reputable scientific indexing and abstracting services. The journal also ensures long-term digital preservation through recognized archives and repositories, guaranteeing permanent access and discoverability.
Authors are encouraged to submit their manuscripts through the journal's Online Submission System or by emailing them directly to the Editorial Office at support@colloquys.com.
Manuscripts must adhere to the journal's author guidelines regarding structure, formatting, referencing style, ethical approvals, and necessary disclosures (such as conflicts of interest and funding).
Advanced Data Science and Computational Intelligence follows internationally recognized standards for publication ethics and research integrity, which include (but are not limited to):
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