CLS

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Framing Ethical AI Research for a Technology Journal Audience
ByAigul Zabirova (Айгуль Забирова) 2026-05-222026-05-25

Artificial Intelligence (AI) is transforming nearly every dimension of modern society, from healthcare diagnostics and autonomous transportation to smart manufacturing, cybersecurity, education, finance, and ubiquitous computing systems. As AI technologies become increasingly integrated into critical decision-making processes, ethical concerns surrounding transparency, fairness, accountability, privacy, security, and societal impact have emerged as major priorities within global…

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How to Write a Perspective Article on Emerging Technology Debates?
ByDavid James 2026-05-212026-05-25

Emerging technologies continuously reshape scientific research, industrial systems, social interaction, healthcare, education, cybersecurity, and global economies. Innovations such as Artificial Intelligence (AI), generative AI, Internet of Things (IoT), quantum computing, digital twins, block chain, autonomous robotics, extended reality, and cyber-physical systems are creating unprecedented opportunities while simultaneously generating complex ethical, technical, and societal debates. Unlike…

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How to Identify Research Trends in Ubiquitous Technology?
ByYong-hwa (용화) 2026-05-202026-05-25

The field of ubiquitous technology is evolving at an extraordinary pace. Emerging innovations in artificial intelligence, Internet of Things (IoT), wearable computing, edge intelligence, smart environments, cybersecurity, and human computer interaction continuously reshape how digital systems interact with society. Ubiquitous Technology Journal (UTJ), published by Crosslink Studies, encourages contributions that demonstrate originality, methodological rigor, technological…

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Turning a Literature Matrix into a Critical Review
BySara Comai 2026-05-192026-05-25

A literature matrix is one of the most valuable organizational tools in academic research, particularly when preparing review articles, systematic reviews, and theoretical studies. However, many researchers make a critical mistake: they stop at summarizing studies instead of transforming the collected literature into meaningful scholarly analysis. Crosslink Studies (CLS) and Ubiquitous Technology Journal (UTJ) authors…

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Database Selection for Literature Reviews in Technology Domains
BySadia Zahid 2026-05-182026-05-18

In contemporary academic publishing, the quality of a literature review depends not only on critical analysis and synthesis but also on the strength of its database selection strategy. For review articles in technology-focused disciplines such as artificial intelligence, cybersecurity, software engineering, data science, Internet of Things (IoT), and ubiquitous computing, selecting the right databases is…

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How to Build a Search Strategy for a High-Quality Review Article?
ByAigul Zabirova (Айгуль Забирова) 2026-05-182026-05-25

In modern academic publishing, a review article is far more than a summary of existing studies. High-quality review papers are expected to provide structured analysis, identify research gaps, evaluate methodological trends, and contribute meaningful scholarly insight. At the center of every credible review article lies one critical component: a well-designed search strategy. Whether authors are…

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Writing Clear Inclusion and Exclusion Criteria for Survey Papers
ByDavid James 2026-05-162026-05-25

Survey-based research plays a central role in modern scientific inquiry, particularly in interdisciplinary domains such as software engineering, artificial intelligence, education, healthcare, management sciences, and digital transformation. However, one of the most overlooked methodological weaknesses in many survey manuscripts is the absence of clearly defined inclusion and exclusion criteria. Poorly defined selection boundaries reduce transparency,…

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How to Explain Data Pre-processing Transparently?
BySara Comai 2026-05-162026-05-25

Data preprocessing is one of the most influential stages in modern computational research. In fields such as artificial intelligence, machine learning, software engineering, IoT analytics, cybersecurity, and data science, preprocessing decisions directly affect model behavior, experimental validity, and research outcomes. Yet many manuscripts describe preprocessing only briefly, leaving reviewers uncertain about how raw data became…

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Reporting Dataset Selection Without Selection Bias
ByYong-hwa (용화) 2026-05-152026-05-16

Dataset selection is one of the most critical stages in software engineering, artificial intelligence, machine learning, and data-driven research. A strong experimental design can still produce misleading conclusions if the dataset selection process introduces bias. For this reason, reputable journals increasingly expect researchers to justify how datasets were selected, filtered, balanced, and evaluated. In modern…

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Reproducibility Checklist for Software Engineering Experiments
ByYue Zhang 2026-05-152026-05-16

Reproducibility has become one of the most important quality indicators in modern software engineering research. Whether a study focuses on artificial intelligence, cloud systems, cybersecurity, IoT, distributed computing, or empirical software engineering, researchers are increasingly expected to provide sufficient experimental detail so that independent researchers can verify, replicate, and extend the reported findings. For journals…

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