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International Journal of Intelligent Systems and Data Science

Building robust, ethical, and scalable intelligent systems requires an integrated approach that recognizes the close interdependence between algorithmic innovation and data-driven reasoning. Advances in artificial intelligence and data science increasingly influence decision-making across science, industry, governance, and society, making it essential to address not only technical performance but also reliability, transparency, and long-term sustainability. This includes developing methods that are resilient to data uncertainty, bias, and distributional shifts, as well as designing systems that can adapt to evolving real-world conditions.

Achieving meaningful progress in intelligent systems demands attention to foundational challenges such as data quality, model interpretability, computational efficiency, and responsible deployment. Equally important are broader structural considerations, including access to data and computational resources, skills development, and the ethical and societal implications of intelligent technologies. Addressing these challenges requires collaboration across disciplines, combining theoretical advances with applied research and empirical validation.

The International Journal of Intelligent Systems and Data Science (IJISDS) provides a dedicated scholarly platform to advance these objectives. With a multidisciplinary focus, the journal brings together perspectives from artificial intelligence, machine learning, data science, and allied domains to deepen understanding of how intelligent systems can be designed, evaluated, and applied responsibly. IJISDS supports research that bridges theory and practice, encouraging contributions that demonstrate both methodological rigor and real-world relevance.

Through its editorial standards and publishing practices, IJISDS actively promotes reproducibility, ethical responsibility, and transparent peer review. The journal also seeks to contribute to broader global priorities by supporting research aligned with sustainable development, digital innovation, and responsible AI, recognizing the critical role that intelligent systems and data science play in shaping resilient and equitable futures.

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About the Journal

Building robust, ethical, and scalable intelligent systems requires an integrated approach that recognizes the close interdependence between algorithmic innovation and data-driven reasoning. Advances in artificial intelligence and data science increasingly influence decision-making across science, industry, governance, and society, making it essential to address not only technical performance but also reliability, transparency, and long-term sustainability. This includes developing methods that are resilient to data uncertainty, bias, and distributional shifts, as well as designing systems that can adapt to evolving real-world conditions.

Achieving meaningful progress in intelligent systems demands attention to foundational challenges such as data quality, model interpretability, computational efficiency, and responsible deployment. Equally important are broader structural considerations, including access to data and computational resources, skills development, and the ethical and societal implications of intelligent technologies. Addressing these challenges requires collaboration across disciplines, combining theoretical advances with applied research and empirical validation.

The International Journal of Intelligent Systems and Data Science (IJISDS) provides a dedicated scholarly platform to advance these objectives. With a multidisciplinary focus, the journal brings together perspectives from artificial intelligence, machine learning, data science, and allied domains to deepen understanding of how intelligent systems can be designed, evaluated, and applied responsibly. IJISDS supports research that bridges theory and practice, encouraging contributions that demonstrate both methodological rigor and real-world relevance.

Through its editorial standards and publishing practices, IJISDS actively promotes reproducibility, ethical responsibility, and transparent peer review. The journal also seeks to contribute to broader global priorities by supporting research aligned with sustainable development, digital innovation, and responsible AI, recognizing the critical role that intelligent systems and data science play in shaping resilient and equitable futures.