Focus and Scope
The Journal of Data Science and Informatics Engineering (JoDSIE) publishes original research articles, review papers, and case studies related to the advancement of computer science, data science, and artificial intelligence. The journal welcomes contributions in, but not limited to, the following areas:
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The scope of JoDSIE includes but is not limited to the following topics:
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Data Science
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Statistical analysis and modeling
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Predictive analytics and machine learning algorithms
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Data mining and knowledge discovery
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Data visualization and storytelling
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Time series analysis and forecasting
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Natural language processing (NLP)
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Informatics Engineering
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Computational modeling and simulation
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System engineering and architecture
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Internet of Things (IoT) and cyber-physical systems
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Software engineering and application development
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Data-driven decision support systems
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Information systems and database management
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Big Data and Cloud Computing
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Data storage, management, and processing techniques
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Cloud infrastructure and services
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Distributed computing and parallel processing
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Real-time data analytics
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Artificial Intelligence and Machine Learning
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Deep learning and neural networks
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Supervised and unsupervised learning
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Reinforcement learning and optimization
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Cognitive computing and intelligent systems
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Emerging Technologies
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Blockchain and data security
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Robotics and automation
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Virtual and augmented reality (VR/AR)
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Quantum computing and its implications for data science
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Ethics and Data Privacy
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Data ethics, transparency, and accountability
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Data privacy and security
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Fairness and bias in algorithms
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Ethical considerations in AI deployment
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Applications in Industry
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Data-driven solutions for healthcare, finance, and manufacturing
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Smart cities and urban informatics
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Supply chain and logistics optimization
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Environmental monitoring and sustainability
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The journal aims to serve as an international forum for the exchange of knowledge and innovation, supporting both theoretical contributions and practical applications.




