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About the Journal

ISSN online: under process

Journal of Data Science and Innovation (JDSI) is a peer-reviewed platform dedicated to advancing knowledge at the intersection of data-driven research and innovative practices. The journal publishes high-quality articles that explore the application of data science methods, tools, and technologies across diverse domains, including business, healthcare, engineering, social sciences, and emerging digital ecosystems. With a focus on both theoretical development and practical implementation, it provides a forum for scholars, practitioners, and industry experts to share original research, case studies, and applied solutions that harness data for impactful decision-making and transformative innovation. The journal also encourages interdisciplinary work that bridges data science with fields such as artificial intelligence, machine learning, big data analytics, and innovation management.

Scope of the Journal

Journal of Data Science and Innovation (JDSI) covers a broad range of topics related to data science, innovation, and their practical applications, with an emphasis on interdisciplinary approaches and emerging digital technologies. Areas of interest include, but are not limited to:

  • Data analytics, big data, and knowledge management
  • Artificial intelligence, machine learning, and predictive modeling
  • Data-driven decision-making and business intelligence
  • Innovative applications of data science in healthcare, engineering, and social sciences
  • Emerging tools, platforms, and technologies for digital innovation
  • Innovation management and technology-driven organizational change
  • Smart systems, IoT, and digital ecosystem development
  • Case studies bridging theory and practical implementation
  • Ethical, sustainable, and responsible use of data
  • Interdisciplinary approaches integrating data science with emerging fields

JDSI encourages multidisciplinary research that combines theoretical development with practical application. The journal seeks contributions that provide innovative perspectives, actionable insights, and transformative solutions using data science and innovation to address contemporary challenges and opportunities.