Vol. 1 No. 1 (2027): Digitized Science and Technology
Digitized Science and Technology is dedicated to the open dissemination of technical knowledge, applied scientific innovation, and digital technology development. This issue publishes technical reports, instructional manuals, software and application documentation, implementation guides, educational resources, applied technology studies, and open-access scientific contributions that support the practical advancement of digital systems and emerging technologies.
The issue focuses on the development, application, operation, and evaluation of technologies spanning physics, artificial intelligence, robotics, applied mathematics, computational modelling, algorithm development, software systems, and optical or photonic technologies. Particular emphasis is placed on innovations relevant to smartphones, wearable technologies, tele-optic systems, compact devices, and modern digital platforms.
Submissions are expected to provide clear technical descriptions, implementation methodologies, operational procedures, validation results, or educational guidance that assists researchers, developers, educators, students, and technology users in understanding and applying digital technologies in practical environments.
Key thematic areas include:
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Physics and Optical Technologies: photonics, laser systems, imaging technologies, computational optics, and applied optical engineering
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Artificial Intelligence and Computational Systems: machine-learning applications, intelligent automation, algorithm development, and AI-assisted technologies
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Robotics and Automation Technologies: robotic systems, autonomous platforms, device automation, and integrated control systems
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Applied Mathematics and Computational Modelling: simulation methods, predictive modelling, optimisation techniques, and algorithmic frameworks
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Digital Applications and Software Systems: mobile applications, desktop platforms, software documentation, implementation guides, and digital system evaluation
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Interdisciplinary Technology Development: integration of artificial intelligence, robotics, optics, and computational systems within practical digital environments
All submissions undergo a structured hybrid review process combining expert human evaluation with AI-assisted assessment to support technical accuracy, methodological consistency, clarity, and reproducibility. Authors are encouraged to provide sufficient technical detail, operational procedures, datasets, demonstrations, or implementation guidance to facilitate understanding and practical application.
Multimedia materials such as software demonstrations, instructional videos, device-operation recordings, implementation tutorials, simulation outputs, and system visualisations may be included where they enhance technical clarity and educational value.
As a fully open-access issue, all accepted content is made freely available online to support global knowledge sharing, educational outreach, technology transfer, and innovation across scientific, engineering, and digital technology communities.
