Current Issue
Cross-Disciplinary Knowledge Systems
A scholarly journal for research that connects knowledge, methods, models, systems, and applications across disciplinary boundaries.
For research that does not fit inside a single disciplinary boundary.
Cross-Disciplinary Knowledge Systems publishes research that integrates concepts, methods, frameworks, data, and applied systems from different academic and professional fields.
The journal is designed for work involving knowledge engineering, decision support, systems thinking, information integration, computational modelling, interdisciplinary methods, and cross-domain problem solving.
It encourages manuscripts that show how knowledge from multiple fields can be organized, connected, evaluated, and applied to complex scientific, technical, social, organizational, and policy challenges.
Scope organized around integration, interpretation, and application.
Knowledge Systems
Knowledge engineering, knowledge representation, decision support, information integration, digital knowledge management, and structured knowledge models.
Cross-Disciplinary Methods
Methods that connect scientific, technical, organizational, social, policy, computational, and management perspectives.
Applied Frameworks
Conceptual models, computational frameworks, systems analysis, case studies, and applied research for complex cross-domain problems.
Journal Information Index
Core policies and author information are arranged as an academic index rather than visual cards.
Submit to Cross-Disciplinary Knowledge Systems
Manuscripts should clearly identify the disciplines involved, the knowledge gap addressed, the methods used, and the cross-disciplinary contribution.