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.