The International Journal of Information Science and Technology is an original online peer-reviewed journal established in 2017 geared towards addressing the growing demands of the scientific community whose research interests involve strongly the field of Information Science and Technology. The journal aims to provide those researchers with a platform to disseminate their findings and advance knowledge in their respective areas of specialization.

The field of information science and technology is at the forefront of the significant transformations that modern societies are undergoing. This constitutes a real opportunity as well as an impetus for researchers to converge and combine various fields of study, creating fruitful synergies. This is based on the premise that the convergence and integration of multiple disciplines is bound to  lead to not only strengthening the scientific community working in interdisciplinary fields, but also getting researchers interested in cross-boundary knowledge while keeping them abreast of the fast-paced technological developments.

The International Journal of Information Science and Technology serves as a valuable resource for the global scientific community by publishing both basic and applied research, fostering collaboration among peers from a variety of backgrounds and exploring new horizons through an innovation lens. The journal is designed, in other words, to bring together researchers working within different, yet complementary disciplines, enabling them thus to benefit from each other’s knowledge and expertise. It will equally open up new research perspectives for them to make significant advancements in this area. In a nutshell, the journal aims to contribute to the raising of international scientific standards by ensuring the publication of quality research papers and promoting contributions from fields of study such as Learning Systems for Education, Digital Preservation of Written Heritage and Text Processing Technology, Machine Learning and Natural Language Processing, Optimization and Modelling of Complex Systems, and Smart Cities and Applications.