Transactions on Cognitive Systems, Dataflows and Computing (TCSDC) is an international, peer-reviewed, open-access journal dedicated to advancing the theory and practice of intelligent systems, data-centric architectures, and next-generation computational paradigms. The journal aims to publish impactful research that helps the academic and professional community design, evaluate, and deploy systems that are cognitively capable, dataflow-aware, computationally scalable, efficient, secure, reliable, and suitable for real-world use. TCSDC focuses on research at the intersection of cognitive systems, artificial intelligence, dataflows, high-performance computing, distributed systems, cloud-edge-fog infrastructures, and large-scale data-centric computing. The journal provides a rigorous forum for researchers, practitioners, engineers, and policymakers to explore how cognition, data, and computation interact to power intelligent services and systems at scale.

International, peer-reviewed journal. Open access publishing. Double-blind peer-review process. Creative Commons Attribution CC BY 4.0 license. No Article Processing Charge until 31 December 2026.

Cognitive systems; artificial intelligence; cognitive architectures; reasoning and planning; knowledge representation; human–AI collaboration; decision-support systems; interactive intelligence; explainable AI; trustworthy AI; AI robustness; model monitoring; AI governance; dataflow models; workflow orchestration; workflow optimization; stream processing; event-driven processing; real-time analytics; data engineering for machine learning systems; feature pipelines; MLOps; data lineage; distributed systems; cloud-native computing; serverless computing; edge computing; fog computing; Internet of Things; cyber-physical systems; high-performance computing; heterogeneous computing; energy-efficient computing; privacy-preserving analytics; federated learning; secure architectures; adversarial resilience; reliability engineering; smart cities; healthcare systems; industrial systems; transportation systems; energy systems; scientific computing.

Original research articles; survey articles; review papers; applied studies; methodological papers; technical reports; system evaluation papers; software-oriented studies; short communications; perspectives; commentaries; research elements; data papers; software papers; protocols; interdisciplinary research articles.

All articles are published open access and are freely available online. TCSDC recommends publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing sharing, reuse, distribution, and adaptation with proper attribution. Authors may share the official article link, deposit permitted versions in institutional repositories, and provide supporting data, code, workflows, and research materials in trusted repositories where legally and ethically possible. TCSDC does not charge Article Processing Charges for submissions or accepted articles until 31 December 2026.

Every manuscript undergoes an initial editorial assessment for scope relevance, clarity, novelty, baseline quality, and policy compliance. Manuscripts that meet the journal’s requirements enter a double-blind peer-review process. Qualifying manuscripts are typically evaluated by at least two independent experts. Reviewers assess originality, significance, technical correctness, methodological rigor, quality of validation, reproducibility, transparency of reporting, clarity, completeness, and ethical compliance. Final editorial decisions may include: Accept Minor revision Major revision Reject Authors invited to revise must submit a revised manuscript with a point-by-point response to reviewer comments. Final publication decisions rest with the editorial board.

TCSDC maintains strong publication ethics policies to protect research integrity, transparency, reproducibility, and reader trust. Authors must submit original work and must avoid plagiarism, fabrication, falsification, misleading selective reporting, inappropriate figure manipulation, duplicate submission, redundant publication, and undisclosed overlapping content. Authors must disclose competing interests, funding sources, related manuscripts, preprints, data availability, and meaningful use of generative AI tools. Generative AI tools cannot be listed as authors, and human authors remain fully responsible for the accuracy, originality, integrity, attribution, code, data, and conclusions of the manuscript. Where applicable, authors must provide ethics approval, informed consent, privacy protection statements, animal welfare information, and safeguards for dual-use or potentially harmful research. TCSDC encourages authors to share data, code, software, workflows, protocols, and supplementary research elements whenever legally and ethically possible.