The Journal of Data Science and Informatics Engineering (JoDSIE) is an open-access, peer-reviewed academic journal that publishes high-quality research articles and reviews in the fields of data science, informatics, and engineering. It aims to bridge the gap between theory and practice by providing a platform for innovative contributions that advance the development, application, and understanding of data science methodologies and informatics engineering solutions. JoDSIE is committed to showcasing interdisciplinary research that addresses real-world challenges across various industries and academia, offering valuable insights into how data-driven approaches can foster technological advancements and improve decision-making processes. The journal focuses on publishing cutting-edge research in the areas of data science, machine learning, artificial intelligence, big data analytics, informatics, and engineering systems. It covers both theoretical developments and practical implementations of data-driven techniques in diverse domains. JoDSIE seeks to highlight advances in data processing, computational models, algorithms, and the engineering of systems that leverage data for decision-making, problem-solving, and optimization. Additionally, the journal is dedicated to fostering a deeper understanding of the ethical, legal, and societal implications of data science and informatics engineering.